Articles | Volume 16, issue 15
https://doi.org/10.5194/amt-16-3739-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-3739-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Drone-based meteorological observations up to the tropopause – a concept study
Konrad B. Bärfuss
CORRESPONDING AUTHOR
Institute of Flight Guidance, Technische Universität Braunschweig, 38108 Braunschweig, Germany
Holger Schmithüsen
Helmholtz Centre for Polar and Marine Research, Alfred Wegener Institute, 27570 Bremerhaven, Germany
Astrid Lampert
Institute of Flight Guidance, Technische Universität Braunschweig, 38108 Braunschweig, Germany
Related authors
Astrid Lampert, Rudolf Hankers, Thomas Feuerle, Thomas Rausch, Matthias Cremer, Maik Angermann, Mark Bitter, Jonas Füllgraf, Helmut Schulz, Ulf Bestmann, and Konrad B. Bärfuss
Earth Syst. Sci. Data, 16, 4777–4792, https://doi.org/10.5194/essd-16-4777-2024, https://doi.org/10.5194/essd-16-4777-2024, 2024
Short summary
Short summary
We conducted flights above the North Sea and investigated changes in the wind field. The research aircraft measured wind speed, wind direction, temperature, humidity and sea surface at high resolution. Wind parks reduce the wind speed, and the data help to determine how long it takes for the wind speed to recover. The coast also plays an important role, and the wind speed varies with distance from the coast. The results help in wind park planning and better estimating the energy yield.
Barbara Harm-Altstädter, Konrad Bärfuss, Lutz Bretschneider, Martin Schön, Jens Bange, Ralf Käthner, Radovan Krejci, Mauro Mazzola, Kihong Park, Falk Pätzold, Alexander Peuker, Rita Traversi, Birgit Wehner, and Astrid Lampert
Aerosol Research, 1, 39–64, https://doi.org/10.5194/ar-1-39-2023, https://doi.org/10.5194/ar-1-39-2023, 2023
Short summary
Short summary
We present observations of aerosol particles and meteorological parameters in the horizontal and vertical distribution measured with uncrewed aerial systems in the Arctic. The field campaign was carried out during the snow melting season, when ultrafine aerosol particles (UFPs) with a size between 3 and 12 nm occurred frequently. A high variability of the measured UFPs was identified in the spatial scale, which was strongly associated with different atmospheric boundary layer properties.
Barbara Altstädter, Konrad Deetz, Bernhard Vogel, Karmen Babić, Cheikh Dione, Federica Pacifico, Corinne Jambert, Friederike Ebus, Konrad Bärfuss, Falk Pätzold, Astrid Lampert, Bianca Adler, Norbert Kalthoff, and Fabienne Lohou
Atmos. Chem. Phys., 20, 7911–7928, https://doi.org/10.5194/acp-20-7911-2020, https://doi.org/10.5194/acp-20-7911-2020, 2020
Short summary
Short summary
We present the high vertical variability of the black carbon (BC) mass concentration measured with the unmanned aerial system ALADINA during the field experiment of DACCIWA. The COSMO-ART model output was applied for the campaign period and is compared with the observational BC data during a case study on 14–15 July 2016. Enhanced BC concentrations were related to transport processes to the measurement site by maritime inflow and not to local emissions as initially expected.
Astrid Lampert, Konrad Bärfuss, Andreas Platis, Simon Siedersleben, Bughsin Djath, Beatriz Cañadillas, Robert Hunger, Rudolf Hankers, Mark Bitter, Thomas Feuerle, Helmut Schulz, Thomas Rausch, Maik Angermann, Alexander Schwithal, Jens Bange, Johannes Schulz-Stellenfleth, Thomas Neumann, and Stefan Emeis
Earth Syst. Sci. Data, 12, 935–946, https://doi.org/10.5194/essd-12-935-2020, https://doi.org/10.5194/essd-12-935-2020, 2020
Short summary
Short summary
With the research aircraft Do-128 of TU Braunschweig, meteorological measurements were performed in the wakes of offshore wind parks during the project WIPAFF. During stable atmospheric conditions, the areas of reduced wind speed and enhanced turbulence behind wind parks had an extension larger than 45 km downwind. The data set consisting of 41 measurement flights is presented. Parameters include wind vector, temperature, humidity and significant wave height.
Simon K. Siedersleben, Andreas Platis, Julie K. Lundquist, Bughsin Djath, Astrid Lampert, Konrad Bärfuss, Beatriz Cañadillas, Johannes Schulz-Stellenfleth, Jens Bange, Tom Neumann, and Stefan Emeis
Geosci. Model Dev., 13, 249–268, https://doi.org/10.5194/gmd-13-249-2020, https://doi.org/10.5194/gmd-13-249-2020, 2020
Short summary
Short summary
Wind farms affect local weather and microclimates. These effects can be simulated in weather models, usually by removing momentum at the location of the wind farm. Some debate exists whether additional turbulence should be added to capture the enhanced mixing of wind farms. By comparing simulations to measurements from airborne campaigns near offshore wind farms, we show that additional turbulence is necessary. Without added turbulence, the mixing is underestimated during stable conditions.
Hassnae Erraji, Philipp Franke, Astrid Lampert, Tobias Schuldt, Ralf Tillmann, Andreas Wahner, and Anne Caroline Lange
Atmos. Chem. Phys., 24, 13913–13934, https://doi.org/10.5194/acp-24-13913-2024, https://doi.org/10.5194/acp-24-13913-2024, 2024
Short summary
Short summary
Four-dimensional variational data assimilation allows for the simultaneous optimisation of initial values and emission rates by using trace-gas profiles from drone observations in a regional air quality model. Assimilated profiles positively impact the representation of air pollutants in the model by improving their vertical distribution and ground-level concentrations. This case study highlights the potential of drone data to enhance air quality analyses including local emission evaluation.
Astrid Lampert, Rudolf Hankers, Thomas Feuerle, Thomas Rausch, Matthias Cremer, Maik Angermann, Mark Bitter, Jonas Füllgraf, Helmut Schulz, Ulf Bestmann, and Konrad B. Bärfuss
Earth Syst. Sci. Data, 16, 4777–4792, https://doi.org/10.5194/essd-16-4777-2024, https://doi.org/10.5194/essd-16-4777-2024, 2024
Short summary
Short summary
We conducted flights above the North Sea and investigated changes in the wind field. The research aircraft measured wind speed, wind direction, temperature, humidity and sea surface at high resolution. Wind parks reduce the wind speed, and the data help to determine how long it takes for the wind speed to recover. The coast also plays an important role, and the wind speed varies with distance from the coast. The results help in wind park planning and better estimating the energy yield.
Barbara Harm-Altstädter, Konrad Bärfuss, Lutz Bretschneider, Martin Schön, Jens Bange, Ralf Käthner, Radovan Krejci, Mauro Mazzola, Kihong Park, Falk Pätzold, Alexander Peuker, Rita Traversi, Birgit Wehner, and Astrid Lampert
Aerosol Research, 1, 39–64, https://doi.org/10.5194/ar-1-39-2023, https://doi.org/10.5194/ar-1-39-2023, 2023
Short summary
Short summary
We present observations of aerosol particles and meteorological parameters in the horizontal and vertical distribution measured with uncrewed aerial systems in the Arctic. The field campaign was carried out during the snow melting season, when ultrafine aerosol particles (UFPs) with a size between 3 and 12 nm occurred frequently. A high variability of the measured UFPs was identified in the spatial scale, which was strongly associated with different atmospheric boundary layer properties.
Ladina Steiner, Holger Schmithüsen, Jens Wickert, and Olaf Eisen
The Cryosphere, 17, 4903–4916, https://doi.org/10.5194/tc-17-4903-2023, https://doi.org/10.5194/tc-17-4903-2023, 2023
Short summary
Short summary
The present study illustrates the potential of a combined Global Navigation Satellite System reflectometry and refractometry (GNSS-RR) method for accurate, simultaneous, and continuous estimation of in situ snow accumulation, snow water equivalent, and snow density time series. The combined GNSS-RR method was successfully applied on a fast-moving, polar ice shelf. The combined GNSS-RR approach could be highly advantageous for a continuous quantification of ice sheet surface mass balances.
Udo Frieß, Karin Kreher, Richard Querel, Holger Schmithüsen, Dan Smale, Rolf Weller, and Ulrich Platt
Atmos. Chem. Phys., 23, 3207–3232, https://doi.org/10.5194/acp-23-3207-2023, https://doi.org/10.5194/acp-23-3207-2023, 2023
Short summary
Short summary
Reactive bromine compounds, emitted by the sea ice during polar spring, play an important role in the atmospheric chemistry of the coastal regions of Antarctica. We investigate the sources and impacts of reactive bromine in detail using many years of measurements at two Antarctic sites located at opposite sides of the Antarctic continent. Using a multitude of meteorological observations, we were able to identify the main triggers and source regions for reactive bromine in Antarctica.
Beatriz Cañadillas, Maximilian Beckenbauer, Juan J. Trujillo, Martin Dörenkämper, Richard Foreman, Thomas Neumann, and Astrid Lampert
Wind Energ. Sci., 7, 1241–1262, https://doi.org/10.5194/wes-7-1241-2022, https://doi.org/10.5194/wes-7-1241-2022, 2022
Short summary
Short summary
Scanning lidar measurements combined with meteorological sensors and mesoscale simulations reveal the strong directional and stability dependence of the wake strength in the direct vicinity of wind farm clusters.
Stefanie Arndt, Mario Hoppmann, Holger Schmithüsen, Alexander D. Fraser, and Marcel Nicolaus
The Cryosphere, 14, 2775–2793, https://doi.org/10.5194/tc-14-2775-2020, https://doi.org/10.5194/tc-14-2775-2020, 2020
Tuukka Petäjä, Ella-Maria Duplissy, Ksenia Tabakova, Julia Schmale, Barbara Altstädter, Gerard Ancellet, Mikhail Arshinov, Yurii Balin, Urs Baltensperger, Jens Bange, Alison Beamish, Boris Belan, Antoine Berchet, Rossana Bossi, Warren R. L. Cairns, Ralf Ebinghaus, Imad El Haddad, Beatriz Ferreira-Araujo, Anna Franck, Lin Huang, Antti Hyvärinen, Angelika Humbert, Athina-Cerise Kalogridis, Pavel Konstantinov, Astrid Lampert, Matthew MacLeod, Olivier Magand, Alexander Mahura, Louis Marelle, Vladimir Masloboev, Dmitri Moisseev, Vaios Moschos, Niklas Neckel, Tatsuo Onishi, Stefan Osterwalder, Aino Ovaska, Pauli Paasonen, Mikhail Panchenko, Fidel Pankratov, Jakob B. Pernov, Andreas Platis, Olga Popovicheva, Jean-Christophe Raut, Aurélie Riandet, Torsten Sachs, Rosamaria Salvatori, Roberto Salzano, Ludwig Schröder, Martin Schön, Vladimir Shevchenko, Henrik Skov, Jeroen E. Sonke, Andrea Spolaor, Vasileios K. Stathopoulos, Mikko Strahlendorff, Jennie L. Thomas, Vito Vitale, Sterios Vratolis, Carlo Barbante, Sabine Chabrillat, Aurélien Dommergue, Konstantinos Eleftheriadis, Jyri Heilimo, Kathy S. Law, Andreas Massling, Steffen M. Noe, Jean-Daniel Paris, André S. H. Prévôt, Ilona Riipinen, Birgit Wehner, Zhiyong Xie, and Hanna K. Lappalainen
Atmos. Chem. Phys., 20, 8551–8592, https://doi.org/10.5194/acp-20-8551-2020, https://doi.org/10.5194/acp-20-8551-2020, 2020
Short summary
Short summary
The role of polar regions is increasing in terms of megatrends such as globalization, new transport routes, demography, and the use of natural resources with consequent effects on regional and transported pollutant concentrations. Here we summarize initial results from our integrative project exploring the Arctic environment and pollution to deliver data products, metrics, and indicators for stakeholders.
Barbara Altstädter, Konrad Deetz, Bernhard Vogel, Karmen Babić, Cheikh Dione, Federica Pacifico, Corinne Jambert, Friederike Ebus, Konrad Bärfuss, Falk Pätzold, Astrid Lampert, Bianca Adler, Norbert Kalthoff, and Fabienne Lohou
Atmos. Chem. Phys., 20, 7911–7928, https://doi.org/10.5194/acp-20-7911-2020, https://doi.org/10.5194/acp-20-7911-2020, 2020
Short summary
Short summary
We present the high vertical variability of the black carbon (BC) mass concentration measured with the unmanned aerial system ALADINA during the field experiment of DACCIWA. The COSMO-ART model output was applied for the campaign period and is compared with the observational BC data during a case study on 14–15 July 2016. Enhanced BC concentrations were related to transport processes to the measurement site by maritime inflow and not to local emissions as initially expected.
Astrid Lampert, Konrad Bärfuss, Andreas Platis, Simon Siedersleben, Bughsin Djath, Beatriz Cañadillas, Robert Hunger, Rudolf Hankers, Mark Bitter, Thomas Feuerle, Helmut Schulz, Thomas Rausch, Maik Angermann, Alexander Schwithal, Jens Bange, Johannes Schulz-Stellenfleth, Thomas Neumann, and Stefan Emeis
Earth Syst. Sci. Data, 12, 935–946, https://doi.org/10.5194/essd-12-935-2020, https://doi.org/10.5194/essd-12-935-2020, 2020
Short summary
Short summary
With the research aircraft Do-128 of TU Braunschweig, meteorological measurements were performed in the wakes of offshore wind parks during the project WIPAFF. During stable atmospheric conditions, the areas of reduced wind speed and enhanced turbulence behind wind parks had an extension larger than 45 km downwind. The data set consisting of 41 measurement flights is presented. Parameters include wind vector, temperature, humidity and significant wave height.
Astrid Lampert, Falk Pätzold, Magnus O. Asmussen, Lennart Lobitz, Thomas Krüger, Thomas Rausch, Torsten Sachs, Christian Wille, Denis Sotomayor Zakharov, Dominik Gaus, Stephan Bansmer, and Ellen Damm
Atmos. Meas. Tech., 13, 1937–1952, https://doi.org/10.5194/amt-13-1937-2020, https://doi.org/10.5194/amt-13-1937-2020, 2020
Short summary
Short summary
Methane has high climate warming potential. Sources of methane can be distinguished by the isotopic composition. To investigate the origin of methane, an airborne sampling system has been developed that can take air samples worldwide and at various altitudes. The article shows the performance of the overall system, from taking samples to laboratory analyses. As known methane source, a rewetted peatland site, was studied, and the vertical distribution of the isotopic composition is investigated.
Simon K. Siedersleben, Andreas Platis, Julie K. Lundquist, Bughsin Djath, Astrid Lampert, Konrad Bärfuss, Beatriz Cañadillas, Johannes Schulz-Stellenfleth, Jens Bange, Tom Neumann, and Stefan Emeis
Geosci. Model Dev., 13, 249–268, https://doi.org/10.5194/gmd-13-249-2020, https://doi.org/10.5194/gmd-13-249-2020, 2020
Short summary
Short summary
Wind farms affect local weather and microclimates. These effects can be simulated in weather models, usually by removing momentum at the location of the wind farm. Some debate exists whether additional turbulence should be added to capture the enhanced mixing of wind farms. By comparing simulations to measurements from airborne campaigns near offshore wind farms, we show that additional turbulence is necessary. Without added turbulence, the mixing is underestimated during stable conditions.
Erlend M. Knudsen, Bernd Heinold, Sandro Dahlke, Heiko Bozem, Susanne Crewell, Irina V. Gorodetskaya, Georg Heygster, Daniel Kunkel, Marion Maturilli, Mario Mech, Carolina Viceto, Annette Rinke, Holger Schmithüsen, André Ehrlich, Andreas Macke, Christof Lüpkes, and Manfred Wendisch
Atmos. Chem. Phys., 18, 17995–18022, https://doi.org/10.5194/acp-18-17995-2018, https://doi.org/10.5194/acp-18-17995-2018, 2018
Short summary
Short summary
The paper describes the synoptic development during the ACLOUD/PASCAL airborne and ship-based field campaign near Svalbard in spring 2017. This development is presented using near-surface and upperair meteorological observations, satellite, and model data. We first present time series of these data, from which we identify and characterize three key periods. Finally, we put our observations in historical and regional contexts and compare our findings to other Arctic field campaigns.
Amelie Driemel, John Augustine, Klaus Behrens, Sergio Colle, Christopher Cox, Emilio Cuevas-Agulló, Fred M. Denn, Thierry Duprat, Masato Fukuda, Hannes Grobe, Martial Haeffelin, Gary Hodges, Nicole Hyett, Osamu Ijima, Ain Kallis, Wouter Knap, Vasilii Kustov, Charles N. Long, David Longenecker, Angelo Lupi, Marion Maturilli, Mohamed Mimouni, Lucky Ntsangwane, Hiroyuki Ogihara, Xabier Olano, Marc Olefs, Masao Omori, Lance Passamani, Enio Bueno Pereira, Holger Schmithüsen, Stefanie Schumacher, Rainer Sieger, Jonathan Tamlyn, Roland Vogt, Laurent Vuilleumier, Xiangao Xia, Atsumu Ohmura, and Gert König-Langlo
Earth Syst. Sci. Data, 10, 1491–1501, https://doi.org/10.5194/essd-10-1491-2018, https://doi.org/10.5194/essd-10-1491-2018, 2018
Short summary
Short summary
The Baseline Surface Radiation Network (BSRN) collects and centrally archives high-quality ground-based radiation measurements in 1 min resolution. More than 10 300 months, i.e., > 850 years, of high-radiation data in 1 min resolution from the years 1992 to 2017 are available. The network currently comprises 59 stations collectively representing all seven continents as well as island-based stations in the Pacific, Atlantic, Indian and Arctic oceans.
Barbara Altstädter, Andreas Platis, Michael Jähn, Holger Baars, Janine Lückerath, Andreas Held, Astrid Lampert, Jens Bange, Markus Hermann, and Birgit Wehner
Atmos. Chem. Phys., 18, 8249–8264, https://doi.org/10.5194/acp-18-8249-2018, https://doi.org/10.5194/acp-18-8249-2018, 2018
Short summary
Short summary
This article describes the appearance of ultrafine aerosol particles (size < 12 nm) within the atmospheric boundary layer under cloudy conditions. New particle formation (NPF) was observed with the ALADINA unmanned aerial system in relation to increased turbulence near the inversion layer. Fast mixing processes and rapid dilution of surrounding air led to an insufficient particle growth rate, seen in sporadic clusters at ground. These events might not have been classified as NPF by surface data.
Astrid Lampert, Jörg Hartmann, Falk Pätzold, Lennart Lobitz, Peter Hecker, Katrin Kohnert, Eric Larmanou, Andrei Serafimovich, and Torsten Sachs
Atmos. Meas. Tech., 11, 2523–2536, https://doi.org/10.5194/amt-11-2523-2018, https://doi.org/10.5194/amt-11-2523-2018, 2018
Short summary
Short summary
We compared two different fast-response humidity sensors simultaneously on different airborne platforms. One is a particular, well-establed Lyman-alpha hygrometer that has been used for decades as the standard for fast airborne humidity measurements. However, it is not available any more. The other one is a hygrometer based on the absorption of infrared radiation, from LI-COR. For an environment of low vibrations, the LI-COR sensor is suitable for fast airborne water vapour measurements.
Guylaine Canut, Fleur Couvreux, Marie Lothon, Dominique Legain, Bruno Piguet, Astrid Lampert, William Maurel, and Eric Moulin
Atmos. Meas. Tech., 9, 4375–4386, https://doi.org/10.5194/amt-9-4375-2016, https://doi.org/10.5194/amt-9-4375-2016, 2016
Short summary
Short summary
Turbulent processes of the atmospheric boundary layer contribute the most to transfers between the surface and the atmosphere. Typically, turbulent boundary layer parameters are measured by sonic anemometers on masts and by research aircraft. This is to measure in situ turbulent parameters in the planetary boundary layer (PBL) at altitudes above 50 m. For this purpose, our team have developed a system under a tethered balloon which has been in use since 2010.
Astrid Lampert, Falk Pätzold, Maria Antonia Jiménez, Lennart Lobitz, Sabrina Martin, Gerald Lohmann, Guylaine Canut, Dominique Legain, Jens Bange, Dani Martínez-Villagrasa, and Joan Cuxart
Atmos. Chem. Phys., 16, 8009–8021, https://doi.org/10.5194/acp-16-8009-2016, https://doi.org/10.5194/acp-16-8009-2016, 2016
Short summary
Short summary
For a large field experiment in summer 2011 in southern France (BLLAST campaign), the development of turbulence in the atmosphere was analysed during the afternoon and evening. Besides ground-based remote sensing and in situ observations, turbulence parameters were measured with an unmanned aerial vehicle and analysed by numerical simulation. Turbulence decreased during the afternoon, but increased after sunset due to local wind systems. Turbulent eddies lost symmetry during the transition.
B. Altstädter, A. Platis, B. Wehner, A. Scholtz, N. Wildmann, M. Hermann, R. Käthner, H. Baars, J. Bange, and A. Lampert
Atmos. Meas. Tech., 8, 1627–1639, https://doi.org/10.5194/amt-8-1627-2015, https://doi.org/10.5194/amt-8-1627-2015, 2015
Short summary
Short summary
The unmanned research aircraft Carolo P360 "ALADINA" is a flexible tool for investigating the horizontal and vertical distribution of freshly formed particles in the atmospheric boundary layer (ABL) combined with measurements of turbulent fluxes derived by fast meteorological sensors. First results of a feasibility study show, among others, events of particle bursts in an internal
layer of the ABL. Comparisons with ground-based instruments and a lidar present the reliability of the new system.
Related subject area
Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: In Situ Measurement | Topic: Instruments and Platforms
Method development and application for the analysis of chiral organic marker species in ice-cores
High-resolution wind speed measurements with quadcopter uncrewed aerial systems: calibration and verification in a wind tunnel with an active grid
High-altitude balloon-launched uncrewed aircraft system measurements of atmospheric turbulence and qualitative comparison with infrasound microphone response
Evaluation of the hyperspectral radiometer (HSR1) at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site
Cost-effective off-grid automatic precipitation samplers for pollutant and biogeochemical atmospheric deposition
The ratio of transverse to longitudinal turbulent velocity statistics for aircraft measurements
Modelling of cup anemometry and dynamic overspeeding in average wind speed measurements
Introducing the Video In Situ Snowfall Sensor (VISSS)
Quality evaluation for measurements of wind field and turbulent fluxes from a UAV-based eddy covariance system
A new reference-quality precipitation gauge wind shield
Long-term airborne measurements of pollutants over the United Kingdom to support air quality model development and evaluation
Acquiring high-resolution wind measurements by modifying radiosonde sounding procedures
A new accurate low-cost instrument for fast synchronized spatial measurements of light spectra
A new airborne broadband radiometer system and an efficient method to correct dynamic thermal offsets
Toward quantifying turbulent vertical airflow and sensible heat flux in tall forest canopies using fiber-optic distributed temperature sensing
A fiber-optic distributed temperature sensor for continuous in situ profiling up to 2 km beneath constant-altitude scientific balloons
New Absolute Cavity Pyrgeometer equation by application of Kirchhoff's law and adding a convection term
The DataHawk2 uncrewed aircraft system for atmospheric research
The measurement of mean wind, variances, and covariances from an instrumented mobile car in a rural environment
ICE-CAMERA: a flatbed scanner to study inland Antarctic polar precipitation
3D trajectories and velocities of rainfall drops in a multifractal turbulent wind field
Towards vertical wind and turbulent flux estimation with multicopter uncrewed aircraft systems
Instabilities, Dynamics, and Energetics accompanying Atmospheric Layering (IDEAL): high-resolution in situ observations and modeling in and above the nocturnal boundary layer
Infrasound measurement system for real-time in situ tornado measurements
Quantifying the coastal urban surface layer structure using distributed temperature sensing in Helsinki, Finland
On the quality of RS41 radiosonde descent data
Idealized simulation study of the relationship of disdrometer sampling statistics with the precision of precipitation rate measurement
Use of thermal signal for the investigation of near-surface turbulence
Drone measurements of surface-based winter temperature inversions in the High Arctic at Eureka
Ground mobile observation system for measuring multisurface microwave emissivity
A differential emissivity imaging technique for measuring hydrometeor mass and type
Effect of snow-covered ground albedo on the accuracy of air temperature measurements
Distributed wind measurements with multiple quadrotor unmanned aerial vehicles in the atmospheric boundary layer
The INFRA-EAR: a low-cost mobile multidisciplinary measurement platform for monitoring geophysical parameters
A dedicated robust instrument for water vapor generation at low humidity for use with a laser water isotope analyzer in cold and dry polar regions
Arctic observations and numerical simulations of surface wind effects on Multi-Angle Snowflake Camera measurements
The development of the “Storm Tracker” and its applications for atmospheric high-resolution upper-air observations
Use of automatic radiosonde launchers to measure temperature and humidity profiles from the GRUAN perspective
Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements
The CopterSonde: an insight into the development of a smart unmanned aircraft system for atmospheric boundary layer research
Microphysical properties and fall speed measurements of snow ice crystals using the Dual Ice Crystal Imager (D-ICI)
The Disdrometer Verification Network (DiVeN): a UK network of laser precipitation instruments
The new BELUGA setup for collocated turbulence and radiation measurements using a tethered balloon: first applications in the cloudy Arctic boundary layer
Identification of platform exhaust on the RV Investigator
Evaluation of Windsond S1H2 performance in Kumasi during the 2016 DACCIWA field campaign
Recovery of the three-dimensional wind and sonic temperature data from a physically deformed sonic anemometer
Considerations for temperature sensor placement on rotary-wing unmanned aircraft systems
New calibration procedures for airborne turbulence measurements and accuracy of the methane fluxes during the AirMeth campaigns
Is it feasible to estimate radiosonde biases from interlaced measurements?
Vertical wind velocity measurements using a five-hole probe with remotely piloted aircraft to study aerosol–cloud interactions
Johanna Schäfer, Anja Beschnitt, François Burgay, Thomas Singer, Margit Schwikowski, and Thorsten Hoffmann
EGUsphere, https://doi.org/10.5194/egusphere-2024-2243, https://doi.org/10.5194/egusphere-2024-2243, 2024
Short summary
Short summary
Glaciers preserve organic compounds from atmospheric aerosols, which can serve as markers for emission sources. Most studies overlook the enantiomers of chiral compounds. We developed a 2-dimensional liquid chromatography method to determine the chiral ratios of monoterpene oxidation products cis-pinic acid and cis-pinonic acid in ice-core samples. Applied to samples from the Belukha glacier (1870–1970 CE), the method revealed fluctuating chiral ratios for the analytes.
Johannes Kistner, Lars Neuhaus, and Norman Wildmann
Atmos. Meas. Tech., 17, 4941–4955, https://doi.org/10.5194/amt-17-4941-2024, https://doi.org/10.5194/amt-17-4941-2024, 2024
Short summary
Short summary
We use a fleet of multicopter drones to measure wind. To improve the accuracy of this wind measurement and to evaluate this improvement, we conducted experiments with the drones in a wind tunnel under various conditions. This wind tunnel can generate different kinds and intensities of wind. Here we measured with the drones and with other sensors as a reference and compared the results. We were able to improve our wind measurement and show how accurately it works in different situations.
Anisa N. Haghighi, Ryan D. Nolin, Gary D. Pundsack, Nick Craine, Aliaksei Stratsilatau, and Sean C. C. Bailey
Atmos. Meas. Tech., 17, 4863–4889, https://doi.org/10.5194/amt-17-4863-2024, https://doi.org/10.5194/amt-17-4863-2024, 2024
Short summary
Short summary
This work summarizes measurements conducted in June 2021 using a small, uncrewed, stratospheric glider that was launched from a weather balloon to altitudes up to 30 km above sea level. The aircraft conducted measurements of wind speed and direction, pressure, temperature, and humidity during its descent as well as measurements of infrasonic sound levels. These data were used to evaluate the atmospheric turbulence observed during the descent phase of the flight.
Kelly A. Balmes, Laura D. Riihimaki, John Wood, Connor Flynn, Adam Theisen, Michael Ritsche, Lynn Ma, Gary B. Hodges, and Christian Herrera
Atmos. Meas. Tech., 17, 3783–3807, https://doi.org/10.5194/amt-17-3783-2024, https://doi.org/10.5194/amt-17-3783-2024, 2024
Short summary
Short summary
A new hyperspectral radiometer (HSR1) was deployed and evaluated in the central United States (northern Oklahoma). The HSR1 total spectral irradiance agreed well with nearby existing instruments, but the diffuse spectral irradiance was slightly smaller. The HSR1-retrieved aerosol optical depth (AOD) also agreed well with other retrieved AODs. The HSR1 performance is encouraging: new hyperspectral knowledge is possible that could inform atmospheric process understanding and weather forecasting.
Alessia A. Colussi, Daniel Persaud, Melodie Lao, Bryan K. Place, Rachel F. Hems, Susan E. Ziegler, Kate A. Edwards, Cora J. Young, and Trevor C. VandenBoer
Atmos. Meas. Tech., 17, 3697–3718, https://doi.org/10.5194/amt-17-3697-2024, https://doi.org/10.5194/amt-17-3697-2024, 2024
Short summary
Short summary
A new modular and affordable instrument was developed to automatically collect wet deposition continuously with an off-grid solar top-up power package. Monthly collections were performed across the Newfoundland and Labrador Boreal Ecosystem Latitudinal Transect of experimental forest sites from 2015 to 2016. The proof-of-concept systems were validated with baseline measurements of pH and conductivity and then applied to dissolved organic carbon as an analyte of emerging biogeochemical interest.
Jakub L. Nowak, Marie Lothon, Donald H. Lenschow, and Szymon P. Malinowski
EGUsphere, https://doi.org/10.5194/egusphere-2024-1366, https://doi.org/10.5194/egusphere-2024-1366, 2024
Short summary
Short summary
According to a classical theory, the ratio of turbulence statistics corresponding to transverse and longitudinal wind velocity components equals 4/3 in the inertial range of scales. We analyze large amount of measurements obtained with three research aircraft during four field experiments in different locations and show the observed ratios are almost always significantly smaller. We discuss potential reasons of this disagreement but actual explanation remains to be determined.
Troels Friis Pedersen and Jan-Åke Dahlberg
Atmos. Meas. Tech., 17, 1441–1461, https://doi.org/10.5194/amt-17-1441-2024, https://doi.org/10.5194/amt-17-1441-2024, 2024
Short summary
Short summary
Accuracy is important in wind speed measurements with cup anemometers. Dynamic overspeeding is historically considered an inherent and significant error, supported by a two-cup drag model. But lower (and even zero) overspeeding might be present for low-to-medium turbulence intensities for conical cups with short arms. A parabolic torque model reveals various dynamic overspeeding characteristics of cup anemometers, but modelling of actual cup anemometers is best made with tabulated data.
Maximilian Maahn, Dmitri Moisseev, Isabelle Steinke, Nina Maherndl, and Matthew D. Shupe
Atmos. Meas. Tech., 17, 899–919, https://doi.org/10.5194/amt-17-899-2024, https://doi.org/10.5194/amt-17-899-2024, 2024
Short summary
Short summary
The open-source Video In Situ Snowfall Sensor (VISSS) is a novel instrument for characterizing particle shape, size, and sedimentation velocity in snowfall. It combines a large observation volume with relatively high resolution and a design that limits wind perturbations. The open-source nature of the VISSS hardware and software invites the community to contribute to the development of the instrument, which has many potential applications in atmospheric science and beyond.
Yibo Sun, Bilige Sude, Xingwen Lin, Bing Geng, Bo Liu, Shengnan Ji, Junping Jing, Zhiping Zhu, Ziwei Xu, Shaomin Liu, and Zhanjun Quan
Atmos. Meas. Tech., 16, 5659–5679, https://doi.org/10.5194/amt-16-5659-2023, https://doi.org/10.5194/amt-16-5659-2023, 2023
Short summary
Short summary
Unoccupied aerial vehicles (UAVs) provide a versatile platform for eddy covariance (EC) flux measurements at regional scales with low cost, transport, and infrastructural requirements. This study evaluates the measurement performance in the wind field and turbulent flux of a UAV-based EC system based on the data from a set of calibration flights and standard operational flights and concludes that the system can measure the georeferenced wind vector and turbulent flux with sufficient precision.
John Kochendorfer, Tilden P. Meyers, Mark E. Hall, Scott D. Landolt, Justin Lentz, and Howard J. Diamond
Atmos. Meas. Tech., 16, 5647–5657, https://doi.org/10.5194/amt-16-5647-2023, https://doi.org/10.5194/amt-16-5647-2023, 2023
Short summary
Short summary
A new wind shield has been designed to reduce the effects of precipitation gauge undercatch. Tested at three separate sites, it compared well to a well-established refence-quality precipitation wind shield. The new wind shield is smaller and more durable than other reference-quality shields, and it was designed for use in operational weather and climate networks.
Angela Mynard, Joss Kent, Eleanor R. Smith, Andy Wilson, Kirsty Wivell, Noel Nelson, Matthew Hort, James Bowles, David Tiddeman, Justin M. Langridge, Benjamin Drummond, and Steven J. Abel
Atmos. Meas. Tech., 16, 4229–4261, https://doi.org/10.5194/amt-16-4229-2023, https://doi.org/10.5194/amt-16-4229-2023, 2023
Short summary
Short summary
Air quality models are key in understanding complex air pollution processes and assist in developing strategies to mitigate the impacts of air pollution. The ability of regional air quality models to skilfully represent pollutant distributions aloft is important to enabling their skilful prediction at the surface. To assist in model development and evaluation, a long-term, quality-assured dataset of the 3-D distribution of key pollutants was collected over the United Kingdom (2019–2022).
Jens Faber, Michael Gerding, and Torsten Köpnick
Atmos. Meas. Tech., 16, 4183–4193, https://doi.org/10.5194/amt-16-4183-2023, https://doi.org/10.5194/amt-16-4183-2023, 2023
Short summary
Short summary
Weather forecasters around the world use uncrewed balloons to measure wind and temperature for their weather models. In these measurements, wind is recorded from the shift of the balloon by the moving air. However, the balloons and the measurement devices also move by themselves in still air. This creates artificial wind measurements that are normally removed from the data. We show new techniques to avoid these movements and increase the altitude resolution of the wind measurement by 6 times.
Bert G. Heusinkveld, Wouter B. Mol, and Chiel C. van Heerwaarden
Atmos. Meas. Tech., 16, 3767–3785, https://doi.org/10.5194/amt-16-3767-2023, https://doi.org/10.5194/amt-16-3767-2023, 2023
Short summary
Short summary
This paper presents a new instrument for fast measurements of solar irradiance in 18 wavebands (400–950 nm): GPS perfectly synchronizes 10 Hz measurement speed to universal time, low-cost (< EUR 200) complete standalone solution for realizing dense measurement grids to study cloud-shading dynamics, 940 nm waveband reveals atmospheric moisture column information, 11 wavebands to study photosynthetic active radiation and light interaction with vegetation, and good reflection spectra performance.
André Ehrlich, Martin Zöger, Andreas Giez, Vladyslav Nenakhov, Christian Mallaun, Rolf Maser, Timo Röschenthaler, Anna E. Luebke, Kevin Wolf, Bjorn Stevens, and Manfred Wendisch
Atmos. Meas. Tech., 16, 1563–1581, https://doi.org/10.5194/amt-16-1563-2023, https://doi.org/10.5194/amt-16-1563-2023, 2023
Short summary
Short summary
Measurements of the broadband radiative energy budget from aircraft are needed to study the effect of clouds, aerosol particles, and surface conditions on the Earth's energy budget. However, the moving aircraft introduces challenges to the instrument performance and post-processing of the data. This study introduces a new radiometer package, outlines a greatly simplifying method to correct thermal offsets, and provides exemplary measurements of solar and thermal–infrared irradiance.
Mohammad Abdoli, Karl Lapo, Johann Schneider, Johannes Olesch, and Christoph K. Thomas
Atmos. Meas. Tech., 16, 809–824, https://doi.org/10.5194/amt-16-809-2023, https://doi.org/10.5194/amt-16-809-2023, 2023
Short summary
Short summary
In this study, we compute the distributed sensible heat flux using a distributed temperature sensing technique, whose magnitude, sign, and temporal dynamics compare reasonably well to estimates from classical eddy covariance measurements from sonic anemometry. Despite the remaining uncertainty in computed fluxes, the results demonstrate the potential of the novel method to compute spatially resolving sensible heat flux measurement and encourage further research.
J. Douglas Goetz, Lars E. Kalnajs, Terry Deshler, Sean M. Davis, Martina Bramberger, and M. Joan Alexander
Atmos. Meas. Tech., 16, 791–807, https://doi.org/10.5194/amt-16-791-2023, https://doi.org/10.5194/amt-16-791-2023, 2023
Short summary
Short summary
An instrument for in situ continuous 2 km vertical profiles of temperature below high-altitude balloons was developed for high-temporal-resolution measurements within the upper troposphere and lower stratosphere using fiber-optic distributed temperature sensing. The mechanical, electrical, and temperature calibration systems were validated from a short mid-latitude constant-altitude balloon flight within the lower stratosphere. The instrument observed small-scale and inertial gravity waves.
Bruce W. Forgan, Julian Gröbner, and Ibrahim Reda
Atmos. Meas. Tech., 16, 727–743, https://doi.org/10.5194/amt-16-727-2023, https://doi.org/10.5194/amt-16-727-2023, 2023
Short summary
Short summary
This paper investigates the Absolute Cavity Pyrgeometer (ACP) and its use in measuring atmospheric terrestrial irradiances traceable to the standard system of units (SI). This work fits into the objective of the Expert Team on Radiation References, established by the World Meteorological Organization (WMO), to develop and validate instrumentation that can be used as reference instruments for terrestrial radiation measurements.
Jonathan Hamilton, Gijs de Boer, Abhiram Doddi, and Dale A. Lawrence
Atmos. Meas. Tech., 15, 6789–6806, https://doi.org/10.5194/amt-15-6789-2022, https://doi.org/10.5194/amt-15-6789-2022, 2022
Short summary
Short summary
The DataHawk2 is a small, low-cost, rugged, uncrewed aircraft system (UAS) used to observe the thermodynamic and turbulence structures of the lower atmosphere, supporting an advanced understanding of the physical processes that regulate weather and climate. This paper discusses the development, performance, and sensing capabilities of the DataHawk2 using data collected during several recent field deployments.
Stefan J. Miller and Mark Gordon
Atmos. Meas. Tech., 15, 6563–6584, https://doi.org/10.5194/amt-15-6563-2022, https://doi.org/10.5194/amt-15-6563-2022, 2022
Short summary
Short summary
This research investigates the measurement of atmospheric turbulence using a low-cost instrumented car that travels at near-highway speeds and is impacted by upwind obstructions and other on-road traffic. We show that our car design can successfully measure the mean flow and atmospheric turbulence near the surface. We outline a technique to isolate and remove the effects of sporadic passing traffic from car-measured velocity variances and discuss potential measurement uncertainties.
Massimo Del Guasta
Atmos. Meas. Tech., 15, 6521–6544, https://doi.org/10.5194/amt-15-6521-2022, https://doi.org/10.5194/amt-15-6521-2022, 2022
Short summary
Short summary
Any instrument on the Antarctic plateau must cope with a harsh environment. Concordia station is a special place for testing new instruments. With low temperatures and weak winds, precipitation can be studied by simply collecting it on horizontal surfaces. This is typically done manually. ICE-CAMERA is intended as an automatic alternative. The combined construction of rugged equipment for taking photographs of particles and the adoption of machine learning techniques have served this purpose.
Auguste Gires, Ioulia Tchiguirinskaia, and Daniel Schertzer
Atmos. Meas. Tech., 15, 5861–5875, https://doi.org/10.5194/amt-15-5861-2022, https://doi.org/10.5194/amt-15-5861-2022, 2022
Short summary
Short summary
Weather radars measure rainfall in altitude whereas hydro-meteorologists are mainly interested in rainfall at ground level. During their fall, drops are advected by the wind which affects the location of the measured field. Governing equation linking acceleration, gravity, buoyancy, and drag force is updated to account for oblateness of drops. Then multifractal wind is used as input to explore velocities and trajectories of drops. Finally consequence on radar rainfall estimation is discussed.
Norman Wildmann and Tamino Wetz
Atmos. Meas. Tech., 15, 5465–5477, https://doi.org/10.5194/amt-15-5465-2022, https://doi.org/10.5194/amt-15-5465-2022, 2022
Short summary
Short summary
Multicopter uncrewed aerial systems (UAS, also known as drones) are very easy to use systems for collecting data in the lowest part of the atmosphere. Wind and turbulence are parameters that are particularly important for understanding the dynamics in the atmosphere. Only with three-dimensional measurements of the wind can a full understanding can be achieved. In this study, we show how even the vertical wind through the UAS can be measured with good accuracy.
Abhiram Doddi, Dale Lawrence, David Fritts, Ling Wang, Thomas Lund, William Brown, Dragan Zajic, and Lakshmi Kantha
Atmos. Meas. Tech., 15, 4023–4045, https://doi.org/10.5194/amt-15-4023-2022, https://doi.org/10.5194/amt-15-4023-2022, 2022
Short summary
Short summary
Small-scale turbulent structures are ubiquitous in the atmosphere, yet our understanding of their structure and dynamics is vastly incomplete. IDEAL aimed to improve our understanding of small-scale turbulent flow features in the lower atmosphere. A small, unmanned, fixed-wing aircraft was employed to make targeted observations of atmospheric columns. Measured data were used to guide atmospheric model simulations designed to describe the structure and dynamics of small-scale turbulence.
Brandon C. White, Brian R. Elbing, and Imraan A. Faruque
Atmos. Meas. Tech., 15, 2923–2938, https://doi.org/10.5194/amt-15-2923-2022, https://doi.org/10.5194/amt-15-2923-2022, 2022
Short summary
Short summary
Tornadic storms have been hypothesized to emit sound at frequencies below human hearing which animals and certain microphones can detect. This study covers the design, fabrication, and deployment of a specialized microphone that can be carried by first responders and storm chasers. The study also presents real-time processing methods, analyzes several recorded severe weather events including a tornado, and introduces a real-time web interface to allow for live monitoring of the mobile sensor.
Sasu Karttunen, Ewan O'Connor, Olli Peltola, and Leena Järvi
Atmos. Meas. Tech., 15, 2417–2432, https://doi.org/10.5194/amt-15-2417-2022, https://doi.org/10.5194/amt-15-2417-2022, 2022
Short summary
Short summary
To study the complex structure of the lowest tens of metres of atmosphere in urban areas, measurement methods with great spatial and temporal coverage are needed. In our study, we analyse measurements with a promising and relatively new method, distributed temperature sensing, capable of providing detailed information on the near-surface atmosphere. We present multiple ways to utilise these kinds of measurements, as well as important considerations for planning new studies using the method.
Bruce Ingleby, Martin Motl, Graeme Marlton, David Edwards, Michael Sommer, Christoph von Rohden, Holger Vömel, and Hannu Jauhiainen
Atmos. Meas. Tech., 15, 165–183, https://doi.org/10.5194/amt-15-165-2022, https://doi.org/10.5194/amt-15-165-2022, 2022
Short summary
Short summary
Radiosonde descent data could provide extra profiles of the atmosphere for forecasting and other uses. Descent data from Vaisala RS41 radiosondes have been compared with the ascent profiles and with ECMWF short-range forecasts. The agreement is mostly good. The descent rate is very variable and high descent rates cause temperature biases, especially at upper levels. Ascent winds are affected by pendulum motion; on average, the descent winds are smoother.
Karlie N. Rees and Timothy J. Garrett
Atmos. Meas. Tech., 14, 7681–7691, https://doi.org/10.5194/amt-14-7681-2021, https://doi.org/10.5194/amt-14-7681-2021, 2021
Short summary
Short summary
Monte Carlo simulations are used to establish baseline precipitation measurement uncertainties according to World Meteorological Organization standards. Measurement accuracy depends on instrument sampling area, time interval, and precipitation rate. Simulations are compared with field measurements taken by an emerging hotplate precipitation sensor. We find that the current collection area is sufficient for light rain, but a larger collection area is required to detect moderate to heavy rain.
Matthias Zeeman
Atmos. Meas. Tech., 14, 7475–7493, https://doi.org/10.5194/amt-14-7475-2021, https://doi.org/10.5194/amt-14-7475-2021, 2021
Short summary
Short summary
Understanding turbulence near the surface is important for many applications. In this work, methods for observing and analysing temperature structures in a near-surface volume were explored. Experiments were conducted to identify modes of organised motion. These help explain interactions between the vegetation and the atmosphere that are not currently well understood. Techniques used include fibre-optic sensing, thermal infrared imaging, signal decomposition, and machine learning.
Alexey B. Tikhomirov, Glen Lesins, and James R. Drummond
Atmos. Meas. Tech., 14, 7123–7145, https://doi.org/10.5194/amt-14-7123-2021, https://doi.org/10.5194/amt-14-7123-2021, 2021
Short summary
Short summary
Two commercial quadcopters (DJI Matrice 100 and M210 RTK) were equipped with an air temperature measurement system. They were flown at the Polar Environment Atmospheric Research Laboratory, Eureka, Nunavut, Canada, at 80° N latitude to study surface-based temperature inversion during February–March field campaigns in 2017 and 2020. It was demonstrated that the drones can be effectively used in the High Arctic to measure vertical temperature profiles up to 75 m off the ground.
Wenying He, Hongbin Chen, Yuejian Xuan, Jun Li, Minzheng Duan, and Weidong Nan
Atmos. Meas. Tech., 14, 7069–7078, https://doi.org/10.5194/amt-14-7069-2021, https://doi.org/10.5194/amt-14-7069-2021, 2021
Short summary
Short summary
Large microwave surface emissivities (ε) cause difficulties in widely using satellite microwave data over land. Usually, ground-based radiometers are fixed to a scan field to obtain the temporal evolution of ε over a single land-cover area. To obtain the long-term temporal evolution of ε over different land-cover surfaces simultaneously, we developed a ground mobile observation system to enhance in situ ε observations and presented some preliminary results.
Dhiraj K. Singh, Spencer Donovan, Eric R. Pardyjak, and Timothy J. Garrett
Atmos. Meas. Tech., 14, 6973–6990, https://doi.org/10.5194/amt-14-6973-2021, https://doi.org/10.5194/amt-14-6973-2021, 2021
Short summary
Short summary
This paper describes a new instrument for quantifying the physical characteristics of hydrometeors such as snow and rain. The device can measure the mass, size, density and type of individual hydrometeors as well as their bulk properties. The instrument is called the Differential Emissivity Imaging Disdrometer (DEID) and is composed of a thermal camera and hotplate. The DEID measures hydrometeors at sampling frequencies up to 1 Hz with masses and effective diameters greater than 1 µg and 200 µm.
Chiara Musacchio, Graziano Coppa, Gaber Begeš, Christina Hofstätter-Mohler, Laura Massano, Guido Nigrelli, Francesca Sanna, and Andrea Merlone
Atmos. Meas. Tech., 14, 6195–6212, https://doi.org/10.5194/amt-14-6195-2021, https://doi.org/10.5194/amt-14-6195-2021, 2021
Short summary
Short summary
In the context of the overhaul of the WMO/CIMO guide (no. 8) on instruments and methods of observation, we performed an experiment to quantify uncertainties in air temperature measurements due to reflected solar radiation from a snow-covered surface. Coupled sensors with different radiation shields were put under different ground conditions (grass vs. snow) for a whole winter. Results show that different shields may reduce the influence of backward radiation, which can produce errors up to 3 °C.
Tamino Wetz, Norman Wildmann, and Frank Beyrich
Atmos. Meas. Tech., 14, 3795–3814, https://doi.org/10.5194/amt-14-3795-2021, https://doi.org/10.5194/amt-14-3795-2021, 2021
Short summary
Short summary
A fleet of quadrotors is presented as a system to measure the spatial distribution of atmospheric boundary layer flow. The big advantage of this approach is that multiple and flexible measurement points in space can be sampled synchronously. The algorithm to calculate the horizontal wind is based on the principle of aerodynamic drag and the related quadrotor dynamics. The validation reveals that an average accuracy of < 0.3 m s−1 for the wind speed and < 8° for the wind direction was achieved.
Olivier F. C. den Ouden, Jelle D. Assink, Cornelis D. Oudshoorn, Dominique Filippi, and Läslo G. Evers
Atmos. Meas. Tech., 14, 3301–3317, https://doi.org/10.5194/amt-14-3301-2021, https://doi.org/10.5194/amt-14-3301-2021, 2021
Christophe Leroy-Dos Santos, Mathieu Casado, Frédéric Prié, Olivier Jossoud, Erik Kerstel, Morgane Farradèche, Samir Kassi, Elise Fourré, and Amaëlle Landais
Atmos. Meas. Tech., 14, 2907–2918, https://doi.org/10.5194/amt-14-2907-2021, https://doi.org/10.5194/amt-14-2907-2021, 2021
Short summary
Short summary
We developed an instrument that can generate water vapor at low humidity at a very stable level. This instrument was conceived to calibrate water vapor isotopic records obtained in very dry places such as central Antarctica. Here, we provide details on the instrument as well as results obtained for correcting water isotopic records for diurnal variability during a long field season at the Concordia station in East Antarctica.
Kyle E. Fitch, Chaoxun Hang, Ahmad Talaei, and Timothy J. Garrett
Atmos. Meas. Tech., 14, 1127–1142, https://doi.org/10.5194/amt-14-1127-2021, https://doi.org/10.5194/amt-14-1127-2021, 2021
Short summary
Short summary
Snow measurements are very sensitive to wind. Here, we compare airflow and snowfall simulations to Arctic observations for a Multi-Angle Snowflake Camera to show that measurements of fall speed, orientation, and size are accurate only with a double wind fence and winds below 5 m s−1. In this case, snowflakes tend to fall with a nearly horizontal orientation; the largest flakes are as much as 5 times more likely to be observed. Adjustments are needed for snow falling in naturally turbulent air.
Wei-Chun Hwang, Po-Hsiung Lin, and Hungjui Yu
Atmos. Meas. Tech., 13, 5395–5406, https://doi.org/10.5194/amt-13-5395-2020, https://doi.org/10.5194/amt-13-5395-2020, 2020
Short summary
Short summary
We have developed a small, light-weight (radiosonde of 20 g with battery), low-cost, and easy-to-use upper-air radiosonde system: the Storm Tracker. With the ability to receive multiple radiosondes simultaneously, the system enables high temporal and spatial resolution atmospheric observations. In the 2018 field campaign, the accuracy of the Storm tracker was tested using co-launched data with Vaisala RS41-SGP radiosondes, and the measurements show an overall good agreement.
Fabio Madonna, Rigel Kivi, Jean-Charles Dupont, Bruce Ingleby, Masatomo Fujiwara, Gonzague Romanens, Miguel Hernandez, Xavier Calbet, Marco Rosoldi, Aldo Giunta, Tomi Karppinen, Masami Iwabuchi, Shunsuke Hoshino, Christoph von Rohden, and Peter William Thorne
Atmos. Meas. Tech., 13, 3621–3649, https://doi.org/10.5194/amt-13-3621-2020, https://doi.org/10.5194/amt-13-3621-2020, 2020
Short summary
Short summary
Radiosondes are one of the primary sources of upper-air data for weather and climate monitoring. In the last two decades, technological progress made available automated radiosonde launchers (ARLs), which are able to replace measurements typically performed manually. This work presents a comparative analysis of the technical performance of the ARLs currently available on the market and contribute to define a strategy to achieve the full traceability of the ARL products.
Sebastian Landwehr, Iris Thurnherr, Nicolas Cassar, Martin Gysel-Beer, and Julia Schmale
Atmos. Meas. Tech., 13, 3487–3506, https://doi.org/10.5194/amt-13-3487-2020, https://doi.org/10.5194/amt-13-3487-2020, 2020
Short summary
Short summary
Shipborne wind speed measurements are relevant for field studies of air–sea interaction processes. Distortion of the airflow by the ship’s structure can, however, lead to errors. We estimate the flow distortion bias by comparing the observations to ERA-5 reanalysis data. The underlying assumptions are that the bias depends only on the relative orientation of the ship to the wind direction and that the ERA-5 wind speeds are (on average) representative of the true wind speed.
Antonio R. Segales, Brian R. Greene, Tyler M. Bell, William Doyle, Joshua J. Martin, Elizabeth A. Pillar-Little, and Phillip B. Chilson
Atmos. Meas. Tech., 13, 2833–2848, https://doi.org/10.5194/amt-13-2833-2020, https://doi.org/10.5194/amt-13-2833-2020, 2020
Short summary
Short summary
The CopterSonde is an unmanned aircraft system designed with the purpose of sampling thermodynamic and kinematic parameters of the lower Earth's atmosphere, with a focus on vertical profiles in the planetary boundary layer. By incorporating adaptive sampling techniques and optimizing the sensor placement, our study shows that CopterSonde can provide similar information as a radiosonde, but with more control of its sampling location at much higher temporal and spatial resolution.
Thomas Kuhn and Sandra Vázquez-Martín
Atmos. Meas. Tech., 13, 1273–1285, https://doi.org/10.5194/amt-13-1273-2020, https://doi.org/10.5194/amt-13-1273-2020, 2020
Short summary
Short summary
Directly measured shape and fall speed are two important parameters needed for models and remote sensing. This can be done by the new Dual Ice Crystal Imager (D-ICI) instrument, which takes two high-resolution pictures of falling snow crystals from two different angles. Fall speed is measured by doubly exposing the side-view picture. Size and shape are determined from the second picture providing the top view of the snow crystal. D-ICI has been tested on the ground in Kiruna, northern Sweden.
Ben S. Pickering, Ryan R. Neely III, and Dawn Harrison
Atmos. Meas. Tech., 12, 5845–5861, https://doi.org/10.5194/amt-12-5845-2019, https://doi.org/10.5194/amt-12-5845-2019, 2019
Short summary
Short summary
A new network of precipitation instruments has been established for the UK. The instruments are capable of detecting the fall velocity and diameter of each particle that falls through a laser beam. The particle characteristics are derived from the duration and amount of decrease in beam brightness as perceived by a receiving diode. A total of 14 instruments make up the network and all instruments upload 60 s frequency data in near-real time to a publicly available website with plots.
Ulrike Egerer, Matthias Gottschalk, Holger Siebert, André Ehrlich, and Manfred Wendisch
Atmos. Meas. Tech., 12, 4019–4038, https://doi.org/10.5194/amt-12-4019-2019, https://doi.org/10.5194/amt-12-4019-2019, 2019
Short summary
Short summary
In this study, we introduce the new tethered balloon system BELUGA, which includes different modular instrument packages for measuring turbulence and radiation in the atmospheric boundary layer. BELUGA was deployed in an Arctic field campaign in 2017, providing details of boundary layer processes in combination with low-level clouds. Those processes are still not fully understood and in situ measurements in the Arctic improve our understanding of the Arctic response in terms of global warming.
Ruhi S. Humphries, Ian M. McRobert, Will A. Ponsonby, Jason P. Ward, Melita D. Keywood, Zoe M. Loh, Paul B. Krummel, and James Harnwell
Atmos. Meas. Tech., 12, 3019–3038, https://doi.org/10.5194/amt-12-3019-2019, https://doi.org/10.5194/amt-12-3019-2019, 2019
Short summary
Short summary
Undertaking atmospheric observations from ships provides important data in regions where measurements are impossible by other means. However, making measurements so close to a diesel exhaust plume is difficult. In this paper, we describe an algorithm that utilises ongoing measurements of aerosol number concentrations, black carbon mass concentrations, and mixing ratios of carbon monoxide and carbon dioxide to accurately distinguish between exhaust and background data periods.
Geoffrey Elie Quentin Bessardon, Kwabena Fosu-Amankwah, Anders Petersson, and Barbara Jane Brooks
Atmos. Meas. Tech., 12, 1311–1324, https://doi.org/10.5194/amt-12-1311-2019, https://doi.org/10.5194/amt-12-1311-2019, 2019
Short summary
Short summary
This paper presents the first performance assessment during a field campaign of a new reusable radiosonde: the Windsond S1H2. The reuse feature of the S1H2 requires evaluation of the data alteration due to sonde reuse in addition to performance and reproducibility assessments. A comparison with the Vaisala RS41-SG, a well-proven system, shows the potential of the S1H2, with no major performance degradation arising from S1H2 sonde reuse but shows the need for improving the S1H2 GPS system.
Xinhua Zhou, Qinghua Yang, Xiaojie Zhen, Yubin Li, Guanghua Hao, Hui Shen, Tian Gao, Yirong Sun, and Ning Zheng
Atmos. Meas. Tech., 11, 5981–6002, https://doi.org/10.5194/amt-11-5981-2018, https://doi.org/10.5194/amt-11-5981-2018, 2018
Short summary
Short summary
The three-dimensional wind and sonic temperature data from a physically deformed sonic anemometer was successfully recovered by developing equations, algorithms, and related software. Using two sets of geometry data from production calibration and return re-calibration, this algorithm can recover wind with/without transducer shadow correction and sonic temperature with crosswind correction, and then obtain fluxes at quality as expected. This study is applicable as a reference for related topics.
Brian R. Greene, Antonio R. Segales, Sean Waugh, Simon Duthoit, and Phillip B. Chilson
Atmos. Meas. Tech., 11, 5519–5530, https://doi.org/10.5194/amt-11-5519-2018, https://doi.org/10.5194/amt-11-5519-2018, 2018
Short summary
Short summary
With the recent commercial availability of rotary-wing unmanned aircraft systems (rwUAS), their ability to collect observations in the lower atmosphere is quickly being realized. However, integrating sensors with an rwUAS can introduce errors if not sited properly. This study discusses an objective method of determining some of these error sources in temperature, including improper airflow and rotary motor heating. Errors can be mitigated by mounting thermistors under propellers near the tips.
Jörg Hartmann, Martin Gehrmann, Katrin Kohnert, Stefan Metzger, and Torsten Sachs
Atmos. Meas. Tech., 11, 4567–4581, https://doi.org/10.5194/amt-11-4567-2018, https://doi.org/10.5194/amt-11-4567-2018, 2018
Short summary
Short summary
We present new in-flight calibration procedures for airborne turbulence measurements that exploit suitable regular flight legs without the need for dedicated calibration patterns. Furthermore we estimate the accuracy of the airborne wind measurement and of the turbulent fluxes of the traces gases methane and carbon dioxide.
Stefanie Kremser, Jordis S. Tradowsky, Henning W. Rust, and Greg E. Bodeker
Atmos. Meas. Tech., 11, 3021–3029, https://doi.org/10.5194/amt-11-3021-2018, https://doi.org/10.5194/amt-11-3021-2018, 2018
Short summary
Short summary
We investigate the feasibility of quantifying the difference in biases of two instrument types (i.e. radiosondes) by flying the old and new instruments on alternating days, so-called interlacing, to statistically derive the systematic biases between the instruments. While it is in principle possible to estimate the difference between two instrument biases from interlaced measurements, the number of required interlaced flights is very large for reasonable autocorrelation coefficient values.
Radiance Calmer, Gregory C. Roberts, Jana Preissler, Kevin J. Sanchez, Solène Derrien, and Colin O'Dowd
Atmos. Meas. Tech., 11, 2583–2599, https://doi.org/10.5194/amt-11-2583-2018, https://doi.org/10.5194/amt-11-2583-2018, 2018
Short summary
Short summary
Remotely piloted aircraft systems (RPAS), commonly called UAVs, are used in atmospheric science for in situ measurements. The presented work shows wind measurements from a five-hole probe on an RPAS. Comparisons with other instruments (sonic anemometer and cloud radar) show good agreement, validating the RPAS measurements. In situ vertical wind measurements at cloud base are highlighted because they are a major parameter needed for simulating aerosol–cloud interactions, though rarely collected.
Cited articles
Archer, C. L. and Caldeira, K.: Historical Trends in the Jet Streams, Geophys. Res. Lett., 35, L08803, https://doi.org/10.1029/2008GL033614, 2008. a
Axford, D. N.: On the Accuracy of Wind Measurements Using an Inertial
Platform in an Aircraft, and an Example of a Measurement of the
Vertical Mesostructure of the Atmosphere, J. Appl.
Meteorol. Climatol., 7, 645–666,
https://doi.org/10.1175/1520-0450(1968)007<0645:OTAOWM>2.0.CO;2, 1968. a
Baker, W. E., Atlas, R., Cardinali, C., Clement, A., Emmitt, G. D., Gentry,
B. M., Hardesty, R. M., Källén, E., Kavaya, M. J., Langland, R., Ma,
Z., Masutani, M., McCarty, W., Pierce, R. B., Pu, Z., Riishojgaard, L. P.,
Ryan, J., Tucker, S., Weissmann, M., and Yoe, J. G.: Lidar-Measured Wind
Profiles: The Missing Link in the Global Observing System, B. Am. Meteorol. Soc., 95, 543–564,
https://doi.org/10.1175/BAMS-D-12-00164.1, 2014. a, b
Bange, J., Esposito, M., Lenschow, D. H., Brown, P. R. A., Dreiling, V., Giez,
A., Mahrt, L., Malinowski, S. P., Rodi, A. R., Shaw, R. A., Siebert, H.,
Smit, H., and Zöger, M.: Measurement of Aircraft State and
Thermodynamic and Dynamic Variables, in: Airborne Measurements
for Environmental Research, Chap. 2, 7–75, John Wiley & Sons,
Ltd, https://doi.org/10.1002/9783527653218.ch2, 2013. a, b, c
Bärfuss, K., Pätzold, F., Altstädter, B., Kathe, E., Nowak, S.,
Bretschneider, L., Bestmann, U., and Lampert, A.: New Setup of the UAS
ALADINA for Measuring Boundary Layer Properties, Atmospheric
Particles and Solar Radiation, Atmosphere, 9, 28,
https://doi.org/10.3390/atmos9010028, 2018. a, b, c, d, e, f, g
Bärfuss, K., Schmithüsen, H., Dirksen, R., Bretschneider, L., Pätzold, F., Bollmann, S., Wickboldt, H., von Unwerth, M., Asmussen, M., Schwarting, T., and Lampert, A.: Atmospheric Profile Measurements Conducted by the Unmanned Aerial System LUCA (Panker, Germany, 2020-07-03 and 2021-05-28), PANGAEA [data set], https://doi.org/10.1594/PANGAEA.937555, 2021a. a, b
Bärfuss, K., Schmithüsen, H., Dirksen, R., Bretschneider, L., Pätzold, F., Bollmann, S., Wickboldt, H., von Unwerth, M., Asmussen, M., Schwarting, T., and Lampert, A.: Radiosonde Measurements Co-Located with Ascends of the Unmanned Aerial System LUCA (Panker, Germany 2020-07-03 and 2021-05-28), PANGAEA [data set], https://doi.org/10.1594/PANGAEA.937556, 2021b. a
Bärfuss, K., Wickboldt, H., Schlerf, A., Bollmann, S., Rausch, T., and Lampert, A.: Atmospheric profile measurements conducted by the unmanned aerial system LUCA (Panker, Germany 2021-10-25 to 2021-10-29), PANGAEA [data set], https://doi.org/10.1594/PANGAEA.961200, 2023a. a
Bärfuss, K., Wickboldt, H., Schlerf, A., Bollmann, S., Rausch, T., and Lampert, A.: Radiosonde measurements co-located with ascends of the unmanned aerial system LUCA (Panker, Germany 2021-10-25 and 2021-10-29), PANGAEA [data set], https://doi.org/10.1594/PANGAEA.961223, 2023b. a
Bauer, P., Thorpe, A., and Brunet, G.: The Quiet Revolution of Numerical
Weather Prediction, Nature, 525, 47–55, https://doi.org/10.1038/nature14956, 2015. a
Bonavita, M., Hólm, E., Isaksen, L., and Fisher, M.: The Evolution of the
ECMWF Hybrid Data Assimilation System, Q. J. Roy.
Meteorol. Soc., 142, 287–303, https://doi.org/10.1002/qj.2652, 2016. a
Bormann, N., Lawrence, H., Farnan, J., and Farnan, J.: Global Observing System Experiments in the ECMWF Assimilation System, ECMWF, https://doi.org/10.21957/sr184iyz, 2019. a, b
Bouttier, F. and Kelly, G.: Observing-System Experiments in the ECMWF
4D-Var Data Assimilation System, Q. J. Roy.
Meteorol. Soc., 127, 1469–1488, https://doi.org/10.1002/qj.49712757419, 2001. a, b
Boylan, P., Wang, J., Cohn, S. A., Fetzer, E., Maddy, E. S., and Wong, S.:
Validation of AIRS Version 6 Temperature Profiles and Surface-Based
Inversions over Antarctica Using Concordiasi Dropsonde Data, J. Geophys. Res.-Atmos., 120, 992–1007,
https://doi.org/10.1002/2014JD022551, 2015. a
Cardinali, C.: Monitoring the Observation Impact on the Short-Range Forecast,
Q. J. Roy. Meteorol. Soc., 135, 239–250,
https://doi.org/10.1002/qj.366, 2009. a
Cardinali, C.: Observation Impact on the Short Range Forecast,
https://www.ecmwf.int/node/16937 (last access: 1 August 2023), 2013. a
Carminati, F., Migliorini, S., Ingleby, B., Bell, W., Lawrence, H., Newman, S., Hocking, J., and Smith, A.: Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation, Atmos. Meas. Tech., 12, 83–106, https://doi.org/10.5194/amt-12-83-2019, 2019. a, b
Chander, G., Hewison, T. J., Fox, N., Wu, X., Xiong, X., and Blackwell, W. J.:
Overview of Intercalibration of Satellite Instruments, IEEE
Trans. Geosci. Remote Sens., 51, 1056–1080,
https://doi.org/10.1109/TGRS.2012.2228654, 2013. a
Chilson, P. B., Bell, T. M., Brewster, K. A., Britto Hupsel de Azevedo, G.,
Carr, F. H., Carson, K., Doyle, W., Fiebrich, C. A., Greene, B. R., Grimsley,
J. L., Kanneganti, S. T., Martin, J., Moore, A., Palmer, R. D.,
Pillar-Little, E. A., Salazar-Cerreno, J. L., Segales, A. R., Weber,
M. E., Yeary, M., and Droegemeier, K. K.: Moving towards a Network of
Autonomous UAS Atmospheric Profiling Stations for Observations in the
Earth's Lower Atmosphere: The 3D Mesonet Concept, Sensors, 19,
2720, https://doi.org/10.3390/s19122720, 2019. a
Choi, B. I., Lee, S.-W., Woo, S.-B., Kim, J. C., Kim, Y.-G., and Yang, S. G.: Evaluation of radiosonde humidity sensors at low temperature using ultralow-temperature humidity chamber, Adv. Sci. Res., 15, 207–212, https://doi.org/10.5194/asr-15-207-2018, 2018. a, b
Cione, J. J., Bryan, G. H., Dobosy, R., Zhang, J. A., de Boer, G., Aksoy, A.,
Wadler, J. B., Kalina, E. A., Dahl, B. A., Ryan, K., Neuhaus, J., Dumas, E.,
Marks, F. D., Farber, A. M., Hock, T., and Chen, X.: Eye of the Storm:
Observing Hurricanes with a Small Unmanned Aircraft System, B. Am. Meteorol. Soc., 101, E186–E205,
https://doi.org/10.1175/BAMS-D-19-0169.1, 2020. a
Cohn, S. A., Hock, T., Cocquerez, P., Wang, J., Rabier, F., Parsons, D., Harr,
P., Wu, C.-C., Drobinski, P., Karbou, F., Vénel, S., Vargas, A.,
Fourrié, N., Saint-Ramond, N., Guidard, V., Doerenbecher, A., Hsu,
H.-H., Lin, P.-H., Chou, M.-D., Redelsperger, J.-L., Martin, C., Fox, J.,
Potts, N., Young, K., and Cole, H.: Driftsondes: Providing In Situ
Long-Duration Dropsonde Observations over Remote Regions, B. Am. Meteorol. Soc., 94, 1661–1674,
https://doi.org/10.1175/BAMS-D-12-00075.1, 2013. a
Cooper, W. A., Spuler, S. M., Spowart, M., Lenschow, D. H., and Friesen, R. B.: Calibrating airborne measurements of airspeed, pressure and temperature using a Doppler laser air-motion sensor, Atmos. Meas. Tech., 7, 3215–3231, https://doi.org/10.5194/amt-7-3215-2014, 2014. a
Dabberdt, W. F., Schlatter, T. W., Carr, F. H., Friday, E. W. J., Jorgensen,
D., Koch, S., Pirone, M., Ralph, F. M., Sun, J., Welsh, P., Wilson, J. W.,
and Zou, X.: Multifunctional Mesoscale Observing Networks, B. Am. Meteorol. Soc., 86, 961–982,
https://doi.org/10.1175/BAMS-86-7-961, 2005. a, b
de Boer, G., Diehl, C., Jacob, J., Houston, A., Smith, S. W., Chilson, P.,
Schmale, D. G., Intrieri, J., Pinto, J., Elston, J., Brus, D., Kemppinen, O.,
Clark, A., Lawrence, D., Bailey, S. C. C., Sama, M. P., Frazier, A., Crick,
C., Natalie, V., Pillar-Little, E., Klein, P., Waugh, S., Lundquist, J. K.,
Barbieri, L., Kral, S. T., Jensen, A. A., Dixon, C., Borenstein, S.,
Hesselius, D., Human, K., Hall, P., Argrow, B., Thornberry, T., Wright, R.,
and Kelly, J. T.: Development of Community, Capabilities, and
Understanding through Unmanned Aircraft-Based Atmospheric Research:
The LAPSE-RATE Campaign, B. Am. Meteorol. Soc.,
101, E684–E699, https://doi.org/10.1175/BAMS-D-19-0050.1, 2020. a
de Haan, S., de Jong, P. M. A., and van der Meulen, J.: Characterizing and correcting the warm bias observed in Aircraft Meteorological Data Relay (AMDAR) temperature observations, Atmos. Meas. Tech., 15, 811–818, https://doi.org/10.5194/amt-15-811-2022, 2022. a
Drüe, C., Frey, W., Hoff, A., and Hauf, Th.: Aircraft
Type-Specific Errors in AMDAR Weather Reports from Commercial Aircraft,
Q. J. Roy. Meteorol. Soc., 134, 229–239,
https://doi.org/10.1002/qj.205, 2008. a, b
Dupont, J.-C., Haeffelin, M., Badosa, J., Clain, G., Raux, C., and Vignelles,
D.: Characterization and Corrections of Relative Humidity Measurement
from Meteomodem M10 Radiosondes at Midlatitude Stations, J.
Atmos. Ocean. Technol., 37, 857–871,
https://doi.org/10.1175/JTECH-D-18-0205.1, 2020. a
Elston, J., Argrow, B., Stachura, M., Weibel, D., Lawrence, D., and Pope, D.:
Overview of Small Fixed-Wing Unmanned Aircraft for Meteorological
Sampling, J. Atmos. Ocean. Technol., 32, 97–115,
https://doi.org/10.1175/JTECH-D-13-00236.1, 2015. a
Elston, J. S., Roadman, J., Stachura, M., Argrow, B., Houston, A., and Frew,
E.: The Tempest Unmanned Aircraft System for in Situ Observations of Tornadic
Supercells: Design and VORTEX2 Flight Results, J. Field
Robot., 28, 461–483, https://doi.org/10.1002/rob.20394, 2011. a
Evtushevsky, O. M., Grytsai, A. V., Klekociuk, A. R., and Milinevsky, G. P.: Total Ozone and Tropopause Zonal Asymmetry during the Antarctic Spring, J. Geophys. Res.-Atmos., 113, D00B06, https://doi.org/10.1029/2008JD009881, 2008. a
Eyre, J.: An Introduction to GPS Radio Occultation and Its Use in Numerical
Weather Prediction., in: ECMWF GRAS SAF Workshop on Applications of
GPS Radio Occultation Measurements, 16–18 June 2008, 1–10,
ECMWF, Shinfield Park, Reading, 2008. a
Faccani, C., Rabier, F., Fourrié, N., Agusti-Panareda, A., Karbou, F.,
Moll, P., Lafore, J.-P., Nuret, M., Hdidou, F., and Bock, O.: The Impacts
of AMMA Radiosonde Data on the French Global Assimilation and
Forecast System, Weather Forecast., 24, 1268–1286,
https://doi.org/10.1175/2009WAF2222237.1, 2009. a, b
Fiedler, F. and Panofsky, H. A.: Atmospheric Scales and Spectral Gaps, B. Am. Meteorol. Soc., 51, 1114–1120,
https://doi.org/10.1175/1520-0477(1970)051<1114:ASASG>2.0.CO;2, 1970. a, b, c
Flagg, D. D., Doyle, J. D., Holt, T. R., Tyndall, D. P., Amerault, C. M.,
Geiszler, D., Haack, T., Moskaitis, J. R., Nachamkin, J., and Eleuterio,
D. P.: On the Impact of Unmanned Aerial System Observations on
Numerical Weather Prediction in the Coastal Zone, Mon. Weather
Rev., 146, 599–622, https://doi.org/10.1175/MWR-D-17-0028.1, 2018. a
Fleming, R. J.: The Use of Commercial Aircraft as Platforms for
Environmental Measurements, B. Am. Meteorol.
Soc., 77, 2229–2242,
https://doi.org/10.1175/1520-0477(1996)077<2229:TUOCAA>2.0.CO;2, 1996. a
Fujiwara, M., Shiotani, M., Hasebe, F., Vömel, H., Oltmans, S. J., Ruppert,
P. W., Horinouchi, T., and Tsuda, T.: Performance of the Meteolabor
“Snow White” Chilled-Mirror Hygrometer in the Tropical
Troposphere: Comparisons with the Vaisala RS80 A/H-Humicap
Sensors, J. Atmos. Ocean. Technol., 20, 1534–1542,
https://doi.org/10.1175/1520-0426(2003)020<1534:POTMSW>2.0.CO;2, 2003. a
Geerts, B., Raymond, D. J., Grubišić, V., Davis, C. A., Barth, M. C.,
Detwiler, A., Klein, P. M., Lee, W.-C., Markowski, P. M., Mullendore, G. L.,
and Moore, J. A.: Recommendations for In Situ and Remote Sensing
Capabilities in Atmospheric Convection and Turbulence, B. Am. Meteorol. Soc., 99, 2463–2470,
https://doi.org/10.1175/BAMS-D-17-0310.1, 2018. a, b
Gelaro, R. and Zhu, Y.: Examination of Observation Impacts Derived from
Observing System Experiments (OSEs) and Adjoint Models, Tellus A, 61, 179–193,
https://doi.org/10.1111/j.1600-0870.2008.00388.x, 2009. a
Gettelman, A., Hoor, P., Pan, L. L., Randel, W. J., Hegglin, M. I., and Birner,
T.: The Extratropical Upper Troposphere and Lower Stratosphere,
Rev. Geophys., 49, RG3003, https://doi.org/10.1029/2011RG000355, 2011. a
Goldberg, M., Ohring, G., Butler, J., Cao, C., Datla, R., Doelling, D.,
Gärtner, V., Hewison, T., Iacovazzi, B., Kim, D., Kurino, T., Lafeuille,
J., Minnis, P., Renaut, D., Schmetz, J., Tobin, D., Wang, L., Weng, F., Wu,
X., Yu, F., Zhang, P., and Zhu, T.: The Global Space-Based
Inter-Calibration System, B. Am. Meteorol. Soc.,
92, 467–475, https://doi.org/10.1175/2010BAMS2967.1, 2011. a
Hacker, J., Draper, C., and Madaus, L.: Challenges and Opportunities for
Data Assimilation in Mountainous Environments, Atmosphere, 9, 127,
https://doi.org/10.3390/atmos9040127, 2018. a
Haering, E. Jr.: Airdata Calibration of a High-Performance
Aircraft for Measuring Atmospheric Wind Profiles, in: 28th Aerospace
Sciences Meeting, Aerospace Sciences Meetings, American Institute of
Aeronautics and Astronautics, https://doi.org/10.2514/6.1990-230, 1990. a
Hann, R.: Atmospheric Ice Accretions, Aerodynamic Icing Penalties, and
Ice Protection Systems on Unmanned Aerial Vehicles, NTNU,
https://ntnuopen.ntnu.no/ntnu-xmlui/handle/11250/2657638 (last access: 1 August 2023), 2020. a
Hann, R., Enache, A., Nielsen, M. C., Stovner, B. N., van Beeck, J.,
Johansen, T. A., and Borup, K. T.: Experimental Heat Loads for
Electrothermal Anti-Icing and De-Icing on UAVs, Aerospace, 8, 83,
https://doi.org/10.3390/aerospace8030083, 2021. a
Hartmann, J., Gehrmann, M., Kohnert, K., Metzger, S., and Sachs, T.: New calibration procedures for airborne turbulence measurements and accuracy of the methane fluxes during the AirMeth campaigns, Atmos. Meas. Tech., 11, 4567–4581, https://doi.org/10.5194/amt-11-4567-2018, 2018. a
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.adbb2d47, 2023. a, b
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P.,
Biavati, G., Bidlot, J., Bonavita, M., Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M.,
Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P.,
Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5
Global Reanalysis, Q. J. Roy. Meteorol. Soc., 146, 1999–2049,
https://doi.org/10.1002/qj.3803, 2020. a, b, c
Hock, T. F. and Franklin, J. L.: The NCAR GPS Dropwindsonde, B. Am. Meteorol. Soc., 80, 407–420, 1999. a
Holton, J. R., Haynes, P. H., McIntyre, M. E., Douglass, A. R., Rood, R. B.,
and Pfister, L.: Stratosphere-Troposphere Exchange, Rev. Geophys.,
33, 403–439, https://doi.org/10.1029/95RG02097, 1995. a
Houston, A. L., PytlikZillig, L. M., and Walther, J. C.: National Weather
Service Data Needs for Short-Term Forecasts and the Role of
Unmanned Aircraft in Filling the Gap: Results from a
Nationwide Survey, B. Am. Meteorol. Soc., 102,
E2106–E2120, https://doi.org/10.1175/BAMS-D-20-0183.1, 2021. a, b
Huang, X., Tepylo, N., Pommier-Budinger, V., Budinger, M., Bonaccurso, E.,
Villedieu, P., and Bennani, L.: A Survey of Icephobic Coatings and Their
Potential Use in a Hybrid Coating/Active Ice Protection System for Aerospace
Applications, Prog. Aerospace Sci., 105, 74–97,
https://doi.org/10.1016/j.paerosci.2019.01.002, 2019. a
Ingleby, B. and Edwards, D.: Changes to Radiosonde Reports and Their Processing
for Numerical Weather Prediction, Atmos. Sc. Lett., 16, 44–49,
https://doi.org/10.1002/asl2.518, 2015. a, b, c
Ingleby, B., Pauley, P., Kats, A., Ator, J., Keyser, D., Doerenbecher, A.,
Fucile, E., Hasegawa, J., Toyoda, E., Kleinert, T., Qu, W., James, J. S.,
Tennant, W., and Weedon, R.: Progress toward High-Resolution, Real-Time
Radiosonde Reports, B. Am. Meteorol. Soc., 97,
2149–2161, https://doi.org/10.1175/BAMS-D-15-00169.1, 2016a. a
Ingleby, B., Rodwell, M., and Isaksen, L.: Global Radiosonde Network under
Pressure, Tech. Rep. 149, ECMWF, https://doi.org/10.21957/cblxtg, 2016b. a
Ingleby, B., Isaksen, L., Kral, T., and Kral, T.: Evaluation and Impact of
Aircraft Humidity Data in ECMWF's NWP System,
https://doi.org/10.21957/4e825dtiy, 2020. a, b
Ingleby, B., Candy, B., Eyre, J., Haiden, T., Hill, C., Isaksen, L., Kleist,
D., Smith, F., Steinle, P., Taylor, S., Tennant, W., and Tingwell, C.: The
Impact of COVID-19 on Weather Forecasts: A Balanced View,
Geophys. Res. Lett., 48, e2020GL090699,
https://doi.org/10.1029/2020GL090699, 2021. a
Ingleby, B., Motl, M., Marlton, G., Edwards, D., Sommer, M., von Rohden, C., Vömel, H., and Jauhiainen, H.: On the quality of RS41 radiosonde descent data, Atmos. Meas. Tech., 15, 165–183, https://doi.org/10.5194/amt-15-165-2022, 2022. a, b, c, d
Inoue, J. and Sato, K.: Toward Sustainable Meteorological Profiling in Polar
Regions: Case Studies Using an Inexpensive UAS on Measuring Lower
Boundary Layers with Quality of Radiosondes, Environ. Res., 205,
112468, https://doi.org/10.1016/j.envres.2021.112468, 2022. a, b, c
Jacob, J. D., Chilson, P. B., Houston, A. L., and Smith, S. W.: Considerations
for Atmospheric Measurements with Small Unmanned Aircraft Systems,
Atmosphere, 9, 252, https://doi.org/10.3390/atmos9070252, 2018. a
Jeck, R. K.: Icing Design Envelopes (14 CFR Parts 25 and 29, Appendix C) Converted to a Distance-Based Format, Federal Aviation Administration Report DOT/FAA/AR-00/30, US Department of Transportation, Washington, DC, USA, 2002. a
Jensen, A. A., Pinto, J. O., Bailey, S. C., Sobash, R. A., de Boer, G.,
Houston, A. L., Chilson, P. B., Bell, T., Romine, G., Smith, S. W., Lawrence,
D. A., Dixon, C., Lundquist, J. K., Jacob, J. D., Elston, J., Waugh, S., and
Steiner, M.: Assimilation of a Coordinated Fleet of Uncrewed Aircraft
System Observations in Complex Terrain: EnKF System Design and
Preliminary Assessment, Mon. Weather Rev., 149, 1459–1480,
https://doi.org/10.1175/mwr-d-20-0359.1, 2021. a
Jensen, A. A., Pinto, J. O., Bailey, S. C. C., Sobash, R. A., Romine, G.,
de Boer, G., Houston, A. L., Smith, S. W., Lawrence, D. A., Dixon, C.,
Lundquist, J. K., Jacob, J. D., Elston, J., Waugh, S., Brus, D., and Steiner,
M.: Assimilation of a Coordinated Fleet of Uncrewed Aircraft System
Observations in Complex Terrain: Observing System Experiments,
Mon. Weather Rev., 150, 2737–2763, https://doi.org/10.1175/MWR-D-22-0090.1, 2022. a
Jonassen, M. O., Ólafsson, H., Ágústsson, H., Rögnvaldsson,
Ó., and Reuder, J.: Improving High-Resolution Numerical Weather
Simulations by Assimilating Data from an Unmanned Aerial System,
Mon. Weather Rev., 140, 3734–3756, https://doi.org/10.1175/MWR-D-11-00344.1,
2012. a
Joyce, K. E., Anderson, K., and Bartolo, R. E.: Of Course We Fly
Unmanned – We're Women!, Drones, 5, 21,
https://doi.org/10.3390/drones5010021, 2021. a
Kalinka, F., Roloff, K., Tendel, J., and Hauf, T.: The In-flight Icing
Warning System ADWICE for European Airspace – Current
Structure, Recent Improvements and Verification Results, Meteorologische
Z., 26, 441–455, https://doi.org/10.1127/metz/2017/0756, 2017. a
Kalman, R. E.: A New Approach to Linear Filtering and Prediction
Problems, J. Basic Eng., 82, 35–45,
https://doi.org/10.1115/1.3662552, 1960. a
Karbou, F., Aires, F., Prigent, C., and Eymard, L.: Potential of Advanced
Microwave Sounding Unit-A (AMSU-A) and AMSU-B Measurements for
Atmospheric Temperature and Humidity Profiling over Land, J.
Geophys. Res.-Atmos., 110, D07109, https://doi.org/10.1029/2004JD005318, 2005. a, b
Kim, S.-M. and Kim, H. M.: Forecast Sensitivity Observation Impact in the
4DVAR and Hybrid-4DVAR Data Assimilation Systems, J.
Atmos. Ocean. Technol., 36, 1563–1575,
https://doi.org/10.1175/JTECH-D-18-0240.1, 2019. a
Koch, S. E., Fengler, M., Chilson, P. B., Elmore, K. L., Argrow, B., Andra,
D. L., and Lindley, T.: On the Use of Unmanned Aircraft for
Sampling Mesoscale Phenomena in the Preconvective Boundary Layer,
J. Atmos. Ocean. Technol., 35, 2265–2288,
https://doi.org/10.1175/JTECH-D-18-0101.1, 2018. a
König-Langlo, G., King, J. C., and Pettré, P.: Climatology of the
Three Coastal Antarctic Stations Dumont d'Urville, Neumayer,
and Halley, J. Geophys. Res.-Atmos., 103,
10935–10946, https://doi.org/10.1029/97JD00527, 1998. a
Konrad, T., Hill, M., Rowland, J., and Meyer, J. H.: A Small, Radio-Controlled
Aircraft as a Platform for Meteorological Sensors, Johns Hopkins APL Tech.
Dig., 10, 11–21, 1970. a
Kotthaus, S., Bravo-Aranda, J. A., Collaud Coen, M., Guerrero-Rascado, J. L., Costa, M. J., Cimini, D., O'Connor, E. J., Hervo, M., Alados-Arboledas, L., Jiménez-Portaz, M., Mona, L., Ruffieux, D., Illingworth, A., and Haeffelin, M.: Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations, Atmos. Meas. Tech., 16, 433–479, https://doi.org/10.5194/amt-16-433-2023, 2023. a
Kräuchi, A. and Philipona, R.: Return glider radiosonde for in situ upper-air research measurements, Atmos. Meas. Tech., 9, 2535–2544, https://doi.org/10.5194/amt-9-2535-2016, 2016. a
Kren, A. C., Cucurull, L., and Wang, H.: Impact of UAS Global Hawk Dropsonde
Data on Tropical and Extratropical Cyclone Forecasts in 2016,
Weather Forecast., 33, 1121–1141, https://doi.org/10.1175/WAF-D-18-0029.1, 2018. a, b
Lafon, T., Fowler, J., Jiménez, J. F., and Cordoba, G. J. T.: A Viable
Alternative for Conducting Cost-Effective Daily Atmospheric Soundings
in Developing Countries, B. Am. Meteorol. Soc.,
95, 837–842, https://doi.org/10.1175/BAMS-D-13-00125.1, 2014. a
Lampert, A., Altstädter, B., Bärfuss, K., Bretschneider, L., Sandgaard,
J., Michaelis, J., Lobitz, L., Asmussen, M., Damm, E., Käthner, R.,
Krüger, T., Lüpkes, C., Nowak, S., Peuker, A., Rausch, T., Reiser,
F., Scholtz, A., Sotomayor Zakharov, D., Gaus, D., Bansmer, S., Wehner, B.,
and Pätzold, F.: Unmanned Aerial Systems for Investigating the
Polar Atmospheric Boundary Layer – Technical Challenges and
Examples of Applications, Atmosphere, 11, 416,
https://doi.org/10.3390/atmos11040416, 2020. a, b, c, d
Langland, R. H. and Baker, N. L.: Estimation of Observation Impact Using the
NRL Atmospheric Variational Data Assimilation Adjoint System, Tellus A. 56, 189–201,
https://doi.org/10.3402/tellusa.v56i3.14413, 2004. a
Laursen, K. K., Jorgensen, D. P., Brasseur, G. P., Ustin, S. L., and Huning,
J. R.: HIAPER: THE NEXT GENERATION NSF/NCAR RESEARCH AIRCRAFT,
B. Am. Meteorol. Soc., 87, 896–909, 2006. a
Leuenberger, D., Haefele, A., Omanovic, N., Fengler, M., Martucci, G., Calpini,
B., Fuhrer, O., and Rossa, A.: Improving High-Impact Numerical Weather
Prediction with Lidar and Drone Observations, B.
Am. Meteorol. Soc., 101, E1036–E1051,
https://doi.org/10.1175/BAMS-D-19-0119.1, 2020. a, b, c, d, e, f
Lindskog, M., Salonen, K., Järvinen, H., and Michelson, D. B.: Doppler
Radar Wind Data Assimilation with HIRLAM 3DVAR, Mon. Weather
Rev., 132, 1081–1092,
https://doi.org/10.1175/1520-0493(2004)132<1081:DRWDAW>2.0.CO;2, 2004. a
Lorenc, A. C. and Marriott, R. T.: Forecast Sensitivity to Observations in the
Met Office Global Numerical Weather Prediction System, Q. J. Roy. Meteorol. Soc., 140, 209–224, https://doi.org/10.1002/qj.2122,
2014. a
Majewski, J.: The Dynamic Behaviour of Capacitive Humidity Sensors,
Devices and Methods of Measurements, 11, 53–59,
https://doi.org/10.21122/2220-9506-2020-11-1-53-59, 2020. a, b
Mallaun, C., Giez, A., and Baumann, R.: Calibration of 3-D wind measurements on a single-engine research aircraft, Atmos. Meas. Tech., 8, 3177–3196, https://doi.org/10.5194/amt-8-3177-2015, 2015. a
Miloshevich, L. M., Paukkunen, A., Vömel, H., and Oltmans, S. J.:
Development and Validation of a Time-Lag Correction for Vaisala
Radiosonde Humidity Measurements, J. Atmos. Ocean.
Technol., 21, 1305–1327,
https://doi.org/10.1175/1520-0426(2004)021<1305:DAVOAT>2.0.CO;2, 2004. a, b, c
Moninger, W. R., Mamrosh, R. D., and Pauley, P. M.: Automated Meteorological
Reports from Commercial Aircraft, B. Am.
Meteorol. Soc., 84, 203–216, https://doi.org/10.1175/BAMS-84-2-203, 2003. a
Moninger, W. R., Benjamin, S. G., Jamison, B. D., Schlatter, T. W., Smith,
T. L., and Szoke, E. J.: Evaluation of Regional Aircraft Observations Using
TAMDAR, Weather Forecast., 25, 627–645,
https://doi.org/10.1175/2009WAF2222321.1, 2010. a
Ota, Y., Derber, J. C., Kalnay, E., and Miyoshi, T.: Ensemble-Based Observation
Impact Estimates Using the NCEP GFS, Tellus A, 65, 20038, https://doi.org/10.3402/tellusa.v65i0.20038, 2013. a, b, c
Palmer, R., Whelan, D., Bodine, D., Kirstetter, P., Kumjian, M., Metcalf, J.,
Yeary, M., Yu, T.-Y., Rao, R., Cho, J., Draper, D., Durden, S., English, S.,
Kollias, P., Kosiba, K., Wada, M., Wurman, J., Blackwell, W., Bluestein, H.,
Collis, S., Gerth, J., Tuttle, A., Wang, X., and Zrnić, D.: The Need
for Spectrum and the Impact on Weather Observations, B. Am. Meteorol. Soc., 102, E1402–E1407,
https://doi.org/10.1175/BAMS-D-21-0009.1, 2021. a, b
Pätzold, F.: Windmessung mittels Segelflugzeug, Forschungsbericht
2018-04, Niedersächsisches Forschungszentrum für Luftfahrt,
Braunschweig, Germany, https://doi.org/10.24355/dbbs.084-201805221102-1, 2018. a
Pena-Ortiz, C., Gallego, D., Ribera, P., Ordonez, P., and Alvarez-Castro,
M. D. C.: Observed Trends in the Global Jet Stream Characteristics during the
Second Half of the 20th Century, J. Geophys. Res.-Atmos., 118, 2702–2713, https://doi.org/10.1002/jgrd.50305, 2013. a
Petersen, R. A.: On the Impact and Benefits of AMDAR Observations
in Operational Forecasting – Part I: A Review of the
Impact of Automated Aircraft Wind and Temperature Reports,
B. Am. Meteorol. Soc., 97, 585–602,
https://doi.org/10.1175/BAMS-D-14-00055.1, 2016. a, b, c
Petersen, R. A., Cronce, L., Mamrosh, R., and Baker, R.: A Report to the
World Meteorological Organization on the Impact and Benefits of AMDAR
Temperature, Wind and Moisture Observations in Operational Weather
Forecasting, Tech. rep., University of Wisconsin-Madison, Cooperative
Institute for Meteorological Satellite Studies, Space Science and Engineering
center, https://search.library.wisc.edu/catalog/9911154629902121 (last access: 1 August 2023),
2015. a
Petersen, R. A., Cronce, L., Mamrosh, R., Baker, R., and Pauley, P.: On the
Impact and Future Benefits of AMDAR Observations in Operational
Forecasting: Part II: Water Vapor Observations, B.
Am. Meteorol. Soc., 97, 2117–2133,
https://doi.org/10.1175/BAMS-D-14-00211.1, 2016. a, b, c
Pinto, J. O., O'Sullivan, D., Taylor, S., Elston, J., Baker, C. B., Hotz, D.,
Marshall, C., Jacob, J., Barfuss, K., Piguet, B., Roberts, G., Omanovic, N.,
Fengler, M., Jensen, A. A., Steiner, M., and Houston, A. L.: The Status
and Future of Small Uncrewed Aircraft Systems (UAS) in
Operational Meteorology, B. Am. Meteorol. Soc.,
102, E2121–E2136, https://doi.org/10.1175/BAMS-D-20-0138.1, 2021. a, b, c, d, e
Rabier, F., Bouchard, A., Brun, E., Doerenbecher, A., Guedj, S., Guidard, V.,
Karbou, F., Peuch, V.-H., Amraoui, L. E., Puech, D., Genthon, C., Picard, G.,
Town, M., Hertzog, A., Vial, F., Cocquerez, P., Cohn, S. A., Hock, T., Fox,
J., Cole, H., Parsons, D., Powers, J., Romberg, K., VanAndel, J., Deshler,
T., Mercer, J., Haase, J. S., Avallone, L., Kalnajs, L., Mechoso, C. R.,
Tangborn, A., Pellegrini, A., Frenot, Y., Thépaut, J.-N., McNally, A.,
Balsamo, G., and Steinle, P.: The Concordiasi Project in Antarctica,
B. Am. Meteorol. Soc., 91, 69–86,
https://doi.org/10.1175/2009BAMS2764.1, 2010. a
Ralph, F. M., Cannon, F., Tallapragada, V., Davis, C. A., Doyle, J. D.,
Pappenberger, F., Subramanian, A., Wilson, A. M., Lavers, D. A., Reynolds,
C. A., Haase, J. S., Centurioni, L., Ingleby, B., Rutz, J. J., Cordeira,
J. M., Zheng, M., Hecht, C., Kawzenuk, B., and Monache, L. D.: West Coast
Forecast Challenges and Development of Atmospheric River
Reconnaissance, B. Am. Meteorol. Soc., 101,
E1357–E1377, https://doi.org/10.1175/BAMS-D-19-0183.1, 2020. a
Redelsperger, J.-L., Thorncroft, C. D., Diedhiou, A., Lebel, T., Parker, D. J.,
and Polcher, J.: African Monsoon Multidisciplinary Analysis: An
International Research Project and Field Campaign, B.
Am. Meteorol. Soc., 87, 1739–1746,
https://doi.org/10.1175/BAMS-87-12-1739, 2006. a
Reineman, B. D., Lenain, L., and Melville, W. K.: The Use of
Ship-Launched Fixed-Wing UAVs for Measuring the Marine Atmospheric
Boundary Layer and Ocean Surface Processes, J. Atmos.
Ocean. Technol., 33, 2029–2052, https://doi.org/10.1175/JTECH-D-15-0019.1, 2016. a
Rennie, M. P., Isaksen, L., Weiler, F., de Kloe, J., Kanitz, T., and
Reitebuch, O.: The Impact of Aeolus Wind Retrievals on ECMWF Global
Weather Forecasts, Q. J. Roy. Meteorol. Soc.,
147, 3555–3586, https://doi.org/10.1002/qj.4142, 2021. a, b, c, d
Riishojgaard, D. L. P.: Wind Measurements in the WMO Global Observing System, ESA Workshop, p. 31, https://earth.esa.int/eogateway/documents/20142/37627/Day1_AM_L_P_Riishoigaard.pdf (last access: 1 August 2023), 2015. a
Runge, H., Rack, W., Alba, R.-L., and Hepperle, M.: A Solar-Powered HALE-UAV for Arctic Research, in: CEAS Conference 2007, pp. 1–6, Berlin, https://elib.dlr.de/51266/ (last access: 1 August 2023), 2007. a
Schindler, M., Weissmann, M., Schäfler, A., and Radnoti, G.: The Impact
of Dropsonde and Extra Radiosonde Observations during NAWDEX in
Autumn 2016, Mon. Weather Rev., 148, 809–824,
https://doi.org/10.1175/MWR-D-19-0126.1, 2020. a, b
Schuyler, T. J., Gohari, S. M. I., Pundsack, G., Berchoff, D., and Guzman,
M. I.: Using a Balloon-Launched Unmanned Glider to Validate Real-Time
WRF Modeling, Sensors, 19, 1914, https://doi.org/10.3390/s19081914, 2019. a
Secretariat of the Antarctic Treaty: Compilation of Key Documents of the Antarctic Treaty, Secretariat of the Antarctic Treaty, Buenos Aires, 4th edn., https://documents.ats.aq/atcm42/ww/ATCM42_ww011_e.pdf (last access: 1 August 2023), 2019. a
Sørensen, K. L., Borup, K. T., Hann, R., and Hansbø, M.: UAV
Atmospheric Icing Limitations, Climate Report Sor Norway and
Surrounding Regions, Tech. rep., UBIQ Aerospace, 28 pp., https://www.ubiqaerospace.com/climate-report (last access: 1 August 2023), 2021. a
Steiner, A. K., Kirchengast, G., Foelsche, U., Kornblueh, L., Manzini, E., and
Bengtsson, L.: GNSS Occultation Sounding for Climate Monitoring, Phys. Chem. Earth Pt A, 26, 113–124,
https://doi.org/10.1016/S1464-1895(01)00034-5, 2001. a
Stickney, T. M., Shedlov, M. W., and Thompson, D. I.: GOODRICH TOTAL TEMPERATURE SENSORS, Tech. rep., Goodrich, 32 pp., https://data.eol.ucar.edu/file/download/53F7B041406B0/TAT-Report.pdf (last access: 1 August 2023), 1994. a
Sun, Q., Vihma, T., Jonassen, M. O., and Zhang, Z.: Impact of Assimilation
of Radiosonde and UAV Observations from the Southern Ocean in the
Polar WRF Model, Adv. Atmos. Sci., 37, 441–454,
https://doi.org/10.1007/s00376-020-9213-8, 2020. a, b
Tafferner, A., Hauf, T., Leifeld, C., Hafner, T., Leykauf, H., and Voigt, U.:
ADWICE: Advanced Diagnosis and Warning System for Aircraft
Icing Environments, Weather Forecast., 18, 184–203,
https://doi.org/10.1175/1520-0434(2003)018<0184:AADAWS>2.0.CO;2, 2003. a
Thépaut, J.-N. and Andersson, E.: The Global Observing System, in: Data
Assimilation: Making Sense of Observations, edited by Lahoz, W.,
Khattatov, B., and Menard, R., 263–281, Springer, Berlin,
Heidelberg, https://doi.org/10.1007/978-3-540-74703-1_10, 2010. a
VAISALA: Response Time in Humidity Measurement, TECHNICAL NOTE B211803EN-B, VAISALA, https://www.vaisala.com/sites/default/files/documents/Response-time-in-humidity (last access: 1 August 2023),
2021. a
van den Kroonenberg, A., Martin, T., Buschmann, M., Bange, J., and
Vörsmann, P.: Measuring the Wind Vector Using the Autonomous Mini
Aerial Vehicle M2AV, J. Atmos. Ocean. Technol., 25,
1969–1982, https://doi.org/10.1175/2008JTECHA1114.1, 2008. a
Vinnichenko, N. K.: The Kinetic Energy Spectrum in the Free
Atmosphere – 1 Second to 5 Years, Tellus, 22, 158–166,
https://doi.org/10.3402/tellusa.v22i2.10210, 1970. a, b
Vömel, H., Argrow, B. M., Axisa, D., Chilson, P., Ellis, S., Fladeland, M.,
Frew, E. W., Jacob, J., Lord, M., Moore, J., Oncley, S., Roberts, G.,
Schoenung, S., and Wolff, C.: The NCAR/EOL Community Workshop on
Unmanned Aircraft Systems for Atmospheric Research – Final
Report, none, https://doi.org/10.5065/D6X9292S, 2018. a
Vörsmann, P.: Ein Beitrag zur bordautonomen Windmessung, Dissertation,
TU Braunschweig, 1984. a
Wagner, T. J. and Petersen, R. A.: On the Performance of Airborne
Meteorological Observations against Other In Situ Measurements, J. Atmos. Ocean. Technol., 38, 1217–1230,
https://doi.org/10.1175/JTECH-D-20-0182.1, 2021. a, b, c
Wang, B., Zou, X., and Zhu, J.: Data Assimilation and Its Applications,
P. Natl. Acad. Sci. USA, 97, 11143–11144,
https://doi.org/10.1073/pnas.97.21.11143, 2000. a
Wang, J., Hock, T., Cohn, S. A., Martin, C., Potts, N., Reale, T., Sun, B., and
Tilley, F.: Unprecedented Upper-Air Dropsonde Observations over
Antarctica from the 2010 Concordiasi Experiment: Validation of
Satellite-Retrieved Temperature Profiles, Geophys. Res. Lett., 40,
1231–1236, https://doi.org/10.1002/grl.50246, 2013. a
Watts, A. C., Ambrosia, V. G., and Hinkley, E. A.: Unmanned Aircraft
Systems in Remote Sensing and Scientific Research:
Classification and Considerations of Use, Remote Sens., 4,
1671–1692, https://doi.org/10.3390/rs4061671, 2012. a
WMO: Guide to the Global Observing System, WMO, World Meteorological Organization, Geneva, 2010th edn. updated in 2017, 228 pp., https://library.wmo.int/index.php?lvl=notice_display&id=12516 (last access: 1 August 2023), 2010. a
WMO: Manual on Codes - International Codes, Volume I.1, Annex II to the WMO Technical Regulations: Part A – Alphanumeric Codes, WMO, WMO, Geneva, 2011th edn. updated in 2019, 480 pp., https://library.wmo.int/index.php?lvl=notice_display&id=13617 (last access: 1 August 2023), 2011. a
WMO: Global Observing System, https://public.wmo.int/en/programmes/global-observing-system (last access: 1 August 2023), 2015. a
WMO: Guide to Instruments and Methods of Observation, no. 8 in WMO, Geneva, 2018 edn., 197 pp., https://library.wmo.int/index.php?lvl=notice_display&id=12407#.XiGSwf5KiUk (last access: 1 August 2023), 2018. a
WMO: The Gaps in the Global Basic Observing Network (GBON), Tech. rep., WMO Systematic Observations Financing Facility, https://public.wmo.int/en/resources/library/gaps-global-basic-observing-network-gbon (last access: 1 August 2023), 2020.
a
Wyngaard, J., Barbieri, L., Thomer, A., Adams, J., Sullivan, D., Crosby, C.,
Parr, C., Klump, J., Raj Shrestha, S., and Bell, T.: Emergent Challenges
for Science sUAS Data Management: Fairness through Community
Engagement and Best Practices Development, Remote Sens., 11, 1797,
https://doi.org/10.3390/rs11151797, 2019. a
Zheng, M., Delle Monache, L., Cornuelle, B. D., Ralph, F. M., Tallapragada,
V. S., Subramanian, A., Haase, J. S., Zhang, Z., Wu, X., Murphy, M. J.,
Higgins, T. B., and DeHaan, L.: Improved Forecast Skill Through the
Assimilation of Dropsonde Observations From the Atmospheric River
Reconnaissance Program, J. Geophys. Res.-Atmos., 126,
e2021JD034967, https://doi.org/10.1029/2021JD034967, 2021. a
Executive editor
The study makes a substantial promise with direct benefits for the society at large.
Short summary
The first atmospheric soundings with an electrically powered small uncrewed aircraft system (UAS) up to an altitude of 10 km are presented and assessed for quality, revealing the potential to augment atmospheric observations and fill observation gaps for numerical weather prediction. This is significant because of the need for high-resolution meteorological data, in particular in remote areas with limited in situ measurements, and for reference data for satellite measurement calibration.
The first atmospheric soundings with an electrically powered small uncrewed aircraft system...