Articles | Volume 14, issue 11
https://doi.org/10.5194/amt-14-7123-2021
© Author(s) 2021. 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-14-7123-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Nov 2021
Research article |
| 12 Nov 2021
| 12 Nov 2021
Drone measurements of surface-based winter temperature inversions in the High Arctic at Eureka
Alexey B. Tikhomirov
CORRESPONDING AUTHOR
Department of Physics and Atmospheric Science, Dalhousie University, P.O. Box 15000, Halifax, Nova Scotia, B3H 4R2, Canada
Glen Lesins
Department of Physics and Atmospheric Science, Dalhousie University, P.O. Box 15000, Halifax, Nova Scotia, B3H 4R2, Canada
James R. Drummond
Department of Physics and Atmospheric Science, Dalhousie University, P.O. Box 15000, Halifax, Nova Scotia, B3H 4R2, Canada
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Paul S. Jeffery, James R. Drummond, C. Thomas McElroy, Kaley A. Walker, and Jiansheng Zou
EGUsphere, https://doi.org/10.5194/egusphere-2024-2115, https://doi.org/10.5194/egusphere-2024-2115, 2024
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The MAESTRO instrument has been monitoring ozone and NO2 since February 2004. A new version of these data products has recently been released; however, these new products must be validated against other datasets to ensure their validity. This study presents such an assessment, using measurements from eleven satellite instruments to characterize the new MAESTRO products. In the stratosphere, good agreement is found for ozone and acceptable agreement is found for NO2 with these other datasets.
Paul S. Jeffery, James R. Drummond, Jiansheng Zou, and Kaley A. Walker
Atmos. Chem. Phys., 24, 4253–4263, https://doi.org/10.5194/acp-24-4253-2024, https://doi.org/10.5194/acp-24-4253-2024, 2024
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The MOPITT instrument has been monitoring carbon monoxide (CO) since March 2000. This dataset has been used for many applications; however, episodic emission events, which release large amounts of CO into the atmosphere, are a major source of uncertainty. This study presents a method for identifying these events by determining measurements that are unlikely to have typically arisen. The distribution and frequency of these flagged measurements in the MOPITT dataset are presented and discussed.
Ali Jalali, Kaley A. Walker, Kimberly Strong, Rebecca R. Buchholz, Merritt N. Deeter, Debra Wunch, Sébastien Roche, Tyler Wizenberg, Erik Lutsch, Erin McGee, Helen M. Worden, Pierre Fogal, and James R. Drummond
Atmos. Meas. Tech., 15, 6837–6863, https://doi.org/10.5194/amt-15-6837-2022, https://doi.org/10.5194/amt-15-6837-2022, 2022
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This study validates MOPITT version 8 carbon monoxide measurements over the Canadian high Arctic for the period 2006 to 2019. The MOPITT products from different detector pixels and channels are compared with ground-based measurements from the Polar Environment Atmospheric Research Laboratory (PEARL) in Eureka, Nunavut, Canada. These results show good consistency between the satellite and ground-based measurements and provide guidance on the usage of these MOPITT data at high latitudes.
Merritt Deeter, Gene Francis, John Gille, Debbie Mao, Sara Martínez-Alonso, Helen Worden, Dan Ziskin, James Drummond, Róisín Commane, Glenn Diskin, and Kathryn McKain
Atmos. Meas. Tech., 15, 2325–2344, https://doi.org/10.5194/amt-15-2325-2022, https://doi.org/10.5194/amt-15-2325-2022, 2022
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The MOPITT (Measurements of Pollution in the Troposphere) satellite instrument uses remote sensing to obtain retrievals (measurements) of carbon monoxide (CO) in the atmosphere. This paper describes the latest MOPITT data product, Version 9. Globally, the number of daytime MOPITT retrievals over land has increased by 30 %–40 % compared to the previous product. The reported improvements in the MOPITT product should benefit a wide variety of applications including studies of pollution sources.
Heba S. Marey, James R. Drummond, Dylan B. A. Jones, Helen Worden, Merritt N. Deeter, John Gille, and Debbie Mao
Atmos. Meas. Tech., 15, 701–719, https://doi.org/10.5194/amt-15-701-2022, https://doi.org/10.5194/amt-15-701-2022, 2022
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In this study, an analysis has been performed to understand the improvements in observational coverage over Canada in the new MOPITT V9 product. Temporal and spatial analysis of V9 indicates a general coverage gain of 15–20 % relative to V8, which varies regionally and seasonally; e.g., the number of successful MOPITT retrievals in V9 was doubled over Canada in winter. Also, comparison with the corresponding IASI instrument indicated generally good agreement, with about a 5–10 % positive bias.
Emily M. McCullough, Robin Wing, and James R. Drummond
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-186, https://doi.org/10.5194/acp-2020-186, 2020
Revised manuscript not accepted
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Very thin (< 10 m) laminations in Arctic mixed phase clouds are detected at Eureka, Nunavut on 52 % of measured days, and 62 % of cloudy measured days during a 3.5-year study by the CANDAC Rayleigh-Mie-Raman lidar (CRL) at the Polar Environment Atmospheric Research Laboratory (PEARL). Precipitating snow reported by Environment and Climate Change Canada is strongly correlated with laminated clouds, and anti-correlated with non-laminated clouds, yielding constraints on precipitation formation.
Joelle Dionne, Knut von Salzen, Jason Cole, Rashed Mahmood, W. Richard Leaitch, Glen Lesins, Ian Folkins, and Rachel Y.-W. Chang
Atmos. Chem. Phys., 20, 29–43, https://doi.org/10.5194/acp-20-29-2020, https://doi.org/10.5194/acp-20-29-2020, 2020
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Low clouds persist in the summer Arctic, with important consequences for the radiation budget. We found that the ability of precipitation parameterizations to reproduce observed cloud properties was more variable than their ability to represent radiative effects. Our results show that cloud properties and their parameterizations affect the radiative effects of clouds.
Emily M. McCullough, James R. Drummond, and Thomas J. Duck
Atmos. Chem. Phys., 19, 4595–4614, https://doi.org/10.5194/acp-19-4595-2019, https://doi.org/10.5194/acp-19-4595-2019, 2019
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Very thin (<10 m) laminations within Arctic clouds have been observed in all seasons using the Canadian Network for the Detection of Atmospheric Change (CANDAC) Rayleigh–Mie–Raman lidar (CRL) at the Polar Environment Atmospheric Research Laboratory (PEARL; Eureka, Nunavut, Canadian High Arctic). The laminations can last longer than 24 h and are often associated with precipitation and atmospheric stability. This has implications for our understanding of cloud internal structure and processes.
Christopher Perro, Thomas J. Duck, Glen Lesins, Kimberly Strong, Penny M. Rowe, James R. Drummond, and Robert J. Sica
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2018-381, https://doi.org/10.5194/amt-2018-381, 2019
Publication in AMT not foreseen
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A satellite retrieval for water vapour column was adapted for use over different surfaces in the wintertime Arctic. The retrieval was validated at multiple locations where there was excellent agreement. Reanalyses were found to be 10–15 % drier compared to our water vapour retrieval. Reanalyses represent the present day understanding of the atmosphere so this discrepancy between reanalyses and our retrieval could have implications for the current understanding of the climate.
Emily M. McCullough, Robert J. Sica, James R. Drummond, Graeme J. Nott, Christopher Perro, and Thomas J. Duck
Atmos. Meas. Tech., 11, 861–879, https://doi.org/10.5194/amt-11-861-2018, https://doi.org/10.5194/amt-11-861-2018, 2018
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Measuring the phase (liquid and ice) of Arctic clouds is essential for understanding the changing global climate. Using a lidar, two polarized signals are usually needed. At CRL lidar, one of these signals is small, so phase measurements have low resolution. Another method can use a large unpolarized signal in place of the small polarized signal. We show how to use the original low-resolution measurement to calibrate the new high-resolution method. At CRL, this gives 20 times higher resolution.
Emily M. McCullough, Robert J. Sica, James R. Drummond, Graeme Nott, Christopher Perro, Colin P. Thackray, Jason Hopper, Jonathan Doyle, Thomas J. Duck, and Kaley A. Walker
Atmos. Meas. Tech., 10, 4253–4277, https://doi.org/10.5194/amt-10-4253-2017, https://doi.org/10.5194/amt-10-4253-2017, 2017
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CRL lidar in the Canadian High Arctic uses lasers and a telescope to study polar clouds, essential for understanding the changing global climate. Hardware added to CRL allows it to measure the polarization of returned laser light, indicating whether cloud particles are liquid or frozen. Calibrations show that traditional analysis methods work well, although CRL was not originally set up to make this type of measurement. CRL can now measure cloud particle phase every 5 min, every 37.5 m, 24h/day.
Debora Griffin, Kaley A. Walker, Stephanie Conway, Felicia Kolonjari, Kimberly Strong, Rebecca Batchelor, Chris D. Boone, Lin Dan, James R. Drummond, Pierre F. Fogal, Dejian Fu, Rodica Lindenmaier, Gloria L. Manney, and Dan Weaver
Atmos. Meas. Tech., 10, 3273–3294, https://doi.org/10.5194/amt-10-3273-2017, https://doi.org/10.5194/amt-10-3273-2017, 2017
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Measurements in the high Arctic from two ground-based and one space-borne infrared Fourier transform spectrometer agree well over an 8-year time period (2006–2013). These comparisons show no notable degradation, indicating the consistency of these data sets and suggesting that the space-borne measurements have been stable. Increasing ozone, as well as increases of some other atmospheric gases, has been found over this same time period.
Dan Weaver, Kimberly Strong, Matthias Schneider, Penny M. Rowe, Chris Sioris, Kaley A. Walker, Zen Mariani, Taneil Uttal, C. Thomas McElroy, Holger Vömel, Alessio Spassiani, and James R. Drummond
Atmos. Meas. Tech., 10, 2851–2880, https://doi.org/10.5194/amt-10-2851-2017, https://doi.org/10.5194/amt-10-2851-2017, 2017
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We have compared techniques used by several PEARL instruments to measure atmospheric water vapour. No single instrument can comprehensively map the atmosphere. We documented how well these techniques perform and quantified the agreement and biases between them. This work showed that new FTIR datasets at PEARL capture accurate measurements of High Arctic water vapour.
Christopher Perro, Glen Lesins, Thomas J. Duck, and Maria Cadeddu
Atmos. Meas. Tech., 9, 2241–2252, https://doi.org/10.5194/amt-9-2241-2016, https://doi.org/10.5194/amt-9-2241-2016, 2016
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A new microwave satellite water vapour retrieval method for use in the Arctic winter has been developed that uses auxiliary information for atmospheric conditions. When compared to ground-based measurements, the new retrieval has a smaller root mean square deviation than other satellite measurement techniques and can produce high-resolution pan-Arctic water vapour column maps.
Gerrit Holl, Kaley A. Walker, Stephanie Conway, Naoko Saitoh, Chris D. Boone, Kimberly Strong, and James R. Drummond
Atmos. Meas. Tech., 9, 1961–1980, https://doi.org/10.5194/amt-9-1961-2016, https://doi.org/10.5194/amt-9-1961-2016, 2016
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Methane is a powerful greenhouse gas, and we need to measure it globally with satellite instruments. We compare measurements from two satellites with measurements from the ground in Eureka, Nunavut, Canada to assess their different strengths and weaknesses. The differences between measurements are discussed and assessed considering the details of each measurement technique and processing. Recommendations are provided for utilization of these data sets for monitoring methane in the high Arctic.
J. E. Franklin, J. R. Drummond, D. Griffin, J. R. Pierce, D. L. Waugh, P. I. Palmer, M. Parrington, J. D. Lee, A. C. Lewis, A. R. Rickard, J. W. Taylor, J. D. Allan, H. Coe, K. A. Walker, L. Chisholm, T. J. Duck, J. T. Hopper, Y. Blanchard, M. D. Gibson, K. R. Curry, K. M. Sakamoto, G. Lesins, L. Dan, J. Kliever, and A. Saha
Atmos. Chem. Phys., 14, 8449–8460, https://doi.org/10.5194/acp-14-8449-2014, https://doi.org/10.5194/acp-14-8449-2014, 2014
C. Viatte, K. Strong, K. A. Walker, and J. R. Drummond
Atmos. Meas. Tech., 7, 1547–1570, https://doi.org/10.5194/amt-7-1547-2014, https://doi.org/10.5194/amt-7-1547-2014, 2014
D. Griffin, K. A. Walker, J. E. Franklin, M. Parrington, C. Whaley, J. Hopper, J. R. Drummond, P. I. Palmer, K. Strong, T. J. Duck, I. Abboud, P. F. Bernath, C. Clerbaux, P.-F. Coheur, K. R. Curry, L. Dan, E. Hyer, J. Kliever, G. Lesins, M. Maurice, A. Saha, K. Tereszchuk, and D. Weaver
Atmos. Chem. Phys., 13, 10227–10241, https://doi.org/10.5194/acp-13-10227-2013, https://doi.org/10.5194/acp-13-10227-2013, 2013
S. K. Kristoffersen, W. E. Ward, S. Brown, and J. R. Drummond
Atmos. Meas. Tech., 6, 1761–1776, https://doi.org/10.5194/amt-6-1761-2013, https://doi.org/10.5194/amt-6-1761-2013, 2013
C. E. Meek, A. H. Manson, W. K. Hocking, and J. R. Drummond
Ann. Geophys., 31, 1267–1277, https://doi.org/10.5194/angeo-31-1267-2013, https://doi.org/10.5194/angeo-31-1267-2013, 2013
Z. Mariani, K. Strong, M. Palm, R. Lindenmaier, C. Adams, X. Zhao, V. Savastiouk, C. T. McElroy, F. Goutail, and J. R. Drummond
Atmos. Meas. Tech., 6, 1549–1565, https://doi.org/10.5194/amt-6-1549-2013, https://doi.org/10.5194/amt-6-1549-2013, 2013
A. Moss, R. J. Sica, E. McCullough, K. Strawbridge, K. Walker, and J. Drummond
Atmos. Meas. Tech., 6, 741–749, https://doi.org/10.5194/amt-6-741-2013, https://doi.org/10.5194/amt-6-741-2013, 2013
H. M. Worden, M. N. Deeter, C. Frankenberg, M. George, F. Nichitiu, J. Worden, I. Aben, K. W. Bowman, C. Clerbaux, P. F. Coheur, A. T. J. de Laat, R. Detweiler, J. R. Drummond, D. P. Edwards, J. C. Gille, D. Hurtmans, M. Luo, S. Martínez-Alonso, S. Massie, G. Pfister, and J. X. Warner
Atmos. Chem. Phys., 13, 837–850, https://doi.org/10.5194/acp-13-837-2013, https://doi.org/10.5194/acp-13-837-2013, 2013
C. Adams, K. Strong, X. Zhao, A. E. Bourassa, W. H. Daffer, D. Degenstein, J. R. Drummond, E. E. Farahani, A. Fraser, N. D. Lloyd, G. L. Manney, C. A. McLinden, M. Rex, C. Roth, S. E. Strahan, K. A. Walker, and I. Wohltmann
Atmos. Chem. Phys., 13, 611–624, https://doi.org/10.5194/acp-13-611-2013, https://doi.org/10.5194/acp-13-611-2013, 2013
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Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: In Situ Measurement | Topic: Instruments and Platforms
High-resolution wind speed measurements with quadcopter uncrewed aerial systems: calibration and verification in a wind tunnel with an active grid
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Modelling of cup anemometry and dynamic overspeeding in average wind speed measurements
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Drone-based meteorological observations up to the tropopause – a concept study
A new airborne broadband radiometer system and an efficient method to correct dynamic thermal offsets
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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
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The development of the “Storm Tracker” and its applications for atmospheric high-resolution upper-air observations
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Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements
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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
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Vertical wind velocity measurements using a five-hole probe with remotely piloted aircraft to study aerosol–cloud interactions
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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.
Konrad B. Bärfuss, Holger Schmithüsen, and Astrid Lampert
Atmos. Meas. Tech., 16, 3739–3765, https://doi.org/10.5194/amt-16-3739-2023, https://doi.org/10.5194/amt-16-3739-2023, 2023
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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.
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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.
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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.
Birger Bohn and Insa Lohse
Atmos. Meas. Tech., 10, 3151–3174, https://doi.org/10.5194/amt-10-3151-2017, https://doi.org/10.5194/amt-10-3151-2017, 2017
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CCD spectroradiometers are widely used for measurements of atmospheric photolysis frequencies. Their fast response makes them suitable for airborne applications despite the well-known stray-light problem. In this work we describe simple and reliable procedures to minimize the stray-light influence on calibrations and field measurements. Comparisons with a reference instrument confirm high accuracies and low detection limits of important photolysis frequencies.
Cited articles
Ader, M. and Axelsson, D.: Drones in arctic environments, Master's thesis, KTH
Royal Institute of Technology, Stockholm, Sweden, 2017. a
Adolph, A. C., Albert, M. R., and Hall, D. K.: Near-surface temperature inversion during summer at Summit, Greenland, and its relation to MODIS-derived surface temperatures, The Cryosphere, 12, 907–920, https://doi.org/10.5194/tc-12-907-2018, 2018. a
Antokhin, P. N., Arshinov, M. Y., Belan, B. D., Davydov, D. K., Zhidovkin,
E. V., Ivlev, G. A., Kozlov, A. V., Kozlov, V. S., Panchenko, M. V., Penner,
I. E., Pestunov, D. A., Simonenkov, D. V., Tolmachev, G. N., Fofonov, A. V.,
Shamanaev, V. S., and Shmargunov, V. P.: Optik-É AN-30 Aircraft Laboratory
for Studies of the Atmospheric Composition, J. Atmos. Ocean. Tech., 29, 64–75, https://doi.org/10.1175/2011JTECHA1427.1, 2012. a
Barbieri, L., Kral, S., Bailey, S., Frazier, A., Jacob, J., Reuder, J., Brus,
D., Chilson, P., Crick, C., Detweiler, C., Doddi, A., Elston, J., Foroutan, H., González-Rocha, J., Greene, B. R., Guzman, M. I., Houston, A. L., Islam, A., Kemppinen, O., Lawrence, D., Pillar-Little, E. A., Ross, S. D., Sama, M. P., Schmale, D. G., Schuyler, T. J., Shankar, A., Smith, S. W., Waugh, S., Dixon, C., Borenstein, S., and de Boer, G.: Intercomparison of
Small Unmanned Aircraft System (sUAS) Measurements for Atmospheric Science
during the LAPSE-RATE Campaign, Sensors, 19, 2179, https://doi.org/10.3390/s19092179,
2019. a
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
Behrendt, A.: Temperature Measurements with Lidar, Springer New
York, New York, NY, 273–305, https://doi.org/10.1007/0-387-25101-4_10, 2005. a
Berkes, F., Neis, P., Schultz, M. G., Bundke, U., Rohs, S., Smit, H. G. J., Wahner, A., Konopka, P., Boulanger, D., Nédélec, P., Thouret, V., and Petzold, A.: In situ temperature measurements in the upper troposphere and lowermost stratosphere from 2 decades of IAGOS long-term routine observation, Atmos. Chem. Phys., 17, 12495–12508, https://doi.org/10.5194/acp-17-12495-2017, 2017. a
Bernard-Grand'Maison, C. and Pollard, W.: An estimate of ice wedge volume for a High Arctic polar desert environment, Fosheim Peninsula, Ellesmere Island, The Cryosphere, 12, 3589–3604, https://doi.org/10.5194/tc-12-3589-2018, 2018. a
Bosch Sensortec: BMP280 Digital Pressure Sensor,
available at: https://www.bosch-sensortec.com/media/boschsensortec/downloads/datasheets/bst-bmp280-ds001.pdf (last access: 5 November 2021),
2018. a
Boylan, P., Wang, J., Cohn, S. A., Hultberg, T., and August, T.: Identification
and intercomparison of surface-based inversions over Antarctica from IASI,
ERA-Interim, and Concordiasi dropsonde data, J. Geophys. Res.-Atmos., 121, 9089–9104, https://doi.org/10.1002/2015JD024724,
2016. a
Bradley, R. S., Keimig, F. T., and Diaz, H. F.: Recent changes in the North
American Arctic boundary layer in winter, J. Geophys. Res.-Atmos., 98, 8851–8858, https://doi.org/10.1029/93JD00311, 1993. a, b, c
Burgués, J. and Marco, S.: Environmental chemical sensing using small drones:
A review, Sci. Total Environ., 748, 141172,
https://doi.org/10.1016/j.scitotenv.2020.141172, 2020. a
Cassano, J. J., Seefeldt, M. W., Palo, S., Knuth, S. L., Bradley, A. C., Herrman, P. D., Kernebone, P. A., and Logan, N. J.: Observations of the atmosphere and surface state over Terra Nova Bay, Antarctica, using unmanned aerial systems, Earth Syst. Sci. Data, 8, 115–126, https://doi.org/10.5194/essd-8-115-2016, 2016. a, b
Chabot, D. and Bird, D. M.: Wildlife research and management methods in the
21st century: Where do unmanned aircraft fit in?, Journal of Unmanned Vehicle
Systems, 3, 137–155, https://doi.org/10.1139/juvs-2015-0021, 2015. 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
Cold Regions Research and Engineering Laboratory:
http://imb-crrel-dartmouth.org/, last access: 12 September 2021. a
Cowley, D., Moriarty, C., Geddes, G., Brown, G., Wade, T., and Nichol, C.: UAVs
in Context: Archaeological Airborne Recording in a National Body of Survey
and Record, Drones, 2, 2, https://doi.org/10.3390/drones2010002, 2017. a, b
de Boer, G., Ivey, M., Schmid, B., Lawrence, D., Dexheimer, D., Mei, F., Hubbe,
J., Bendure, A., Hardesty, J., Shupe, M. D., McComiskey, A., Telg, H.,
Schmitt, C., Matrosov, S. Y., Brooks, I., Creamean, J., Solomon, A., Turner,
D. D., Williams, C., Maahn, M., Argrow, B., Palo, S., Long, C. N., Gao,
R. S., and Mather, J.: A Bird’s-Eye View: Development of an Operational ARM Unmanned Aerial Capability for Atmospheric Research in Arctic Alaska,
B. Am. Meteorol. Soc., 99, 1197–1212,
https://doi.org/0.1175/BAMS-D-17-0156.1, 2018. a
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
Department of Atmospheric Science, University of Wyoming:
Upperair Air Data, Soundings, available at: http://weather.uwyo.edu/upperair/sounding.html,
last access: 5 November 2021. a
DJI M100: https://www.dji.com/ca/matrice100, last access: 12 September 2021. a
DJI M210 RTK: https://www.dji.com/ca/matrice-200-series, last
access: 12 September 2021. a
DuBois, J. L., Multhauf, R. P., and Ziegler, C. A.: The invention and
development of the radiosonde: with a catalog of upper-atmosphere
telemetering probes in the National Museum of American History, Smithsonian
Instituion, Smithsonian studies in history and technology no. 53, Smithsonian
Institution Press, Washington, D.C.,
76–78, 2002. a
Ebeid, E., Skriver, M., and Jin, J.: A Survey on Open-Source Flight
Control Platforms of Unmanned Aerial Vehicle, in: 2017 Euromicro Conference
on Digital System Design (DSD), 396–402, https://doi.org/10.1109/DSD.2017.30,
2017. a
Fogal, P., LeBlanc, L., and Drummond, J.: The Polar Environment Atmospheric
Research Laboratory (PEARL): Sounding the Atmosphere at 80º North, Arctic,
66, 377–386, https://doi.org/10.14430/arctic4321, 2013. a
Gaffey, C. and Bhardwaj, A.: Applications of Unmanned Aerial Vehicles in
Cryosphere: Latest Advances and Prospects, Remote Sensing, 12, 948,
https://doi.org/10.3390/rs12060948, 2020. a, b
González-Jorge, H., Martínez-Sánchez, J., Bueno, M., Arias, and
Pedor: Unmanned Aerial Systems for Civil Applications: A Review, Drones, 1, 2,
https://doi.org/10.3390/drones1010002, 2017. a
Government of Canada, Historical Climate Data, available at:
https://climate.weather.gc.ca,
last access: 5 November 2021. a
Grachev, A. A., Persson, P. O. G., Uttal, T., Akish, E. A., Cox, C. J., Morris,
S. M., Fairall, C. W., Stone, R. S., Lesins, G., Makshtas, A. P., and Repina,
I. A.: Seasonal and latitudinal variations of surface fluxes at two Arctic
terrestrial sites, Clim. Dynam., 51, 1793–1818,
https://doi.org/10.1007/s00382-017-3983-4, 2018. a
Greene, B. R., Segales, A. R., Waugh, S., Duthoit, S., and Chilson, P. B.: Considerations for temperature sensor placement on rotary-wing unmanned aircraft systems, Atmos. Meas. Tech., 11, 5519–5530, https://doi.org/10.5194/amt-11-5519-2018, 2018. a, b, c, d
Gustafsson, T. and Bendz, E.: D8.5 – Guidelines for drone usage in arctic
environment, Tech. Rep. 730938–INTERACT, Integrating Activities for
Advanced Communities,
available at: https://eu-interact.org/app/uploads/2018/09/D8.5.pdf (last access: 5 November 2021), 2018. a
Hudson, S. R. and Brandt, R. E.: A Look at the Surface-Based Temperature
Inversion on the Antarctic Plateau, J. Climate, 18, 1673–1696,
https://doi.org/10.1175/JCLI3360.1, 2005. a, b, c, d
International Arctic Buoy Programme:
https://iabp.apl.uw.edu/, last access: 9 September 2021. a
Intrieri, J. M., de Boer, G., Shupe, M. D., Spackman, J. R., Wang, J., Neiman, P. J., Wick, G. A., Hock, T. F., and Hood, R. E.: Global Hawk dropsonde observations of the Arctic atmosphere obtained during the Winter Storms and Pacific Atmospheric Rivers (WISPAR) field campaign, Atmos. Meas. Tech., 7, 3917–3926, https://doi.org/10.5194/amt-7-3917-2014, 2014. a
Jackson, D. L. and Wick, G. A.: Near-Surface Air Temperature Retrieval Derived
from AMSU-A and Sea Surface Temperature Observations, J. Atmos.
Ocean. Tech., 27, 1769–1776, https://doi.org/10.1175/2010JTECHA1414.1,
2010. a
Jouvet, G., Weidmann, Y., van Dongen, E., Lüthi, M. P., Vieli, A., and Ryan,
J. C.: High-Endurance UAV for Monitoring Calving Glaciers: Application to the
Inglefield Bredning and Eqip Sermia, Greenland, Front. Earth Sci.,
7, 206, https://doi.org/10.3389/feart.2019.00206, 2019. a, b, c
Knuth, S. L. and Cassano, J. J.: Estimating Sensible and Latent Heat Fluxes
Using the Integral Method from in situ Aircraft Measurements, J.
Atmos. Ocean. Tech., 31, 1964–1981,
https://doi.org/10.1175/JTECH-D-14-00008.1, 2014. a, b
Kral, S., Reuder, J., Vihma, T., Suomi, I., O’Connor, E., Kouznetsov, R.,
Wrenger, B., Rautenberg, A., Urbancic, G., Jonassen, M., and et al.:
Innovative Strategies for Observations in the Arctic Atmospheric Boundary
Layer (ISOBAR) – The Hailuoto 2017 Campaign, Atmosphere, 9, 268,
https://doi.org/10.3390/atmos9070268, 2018. a
Kramar, V. and Maatta, H.: UAV Arctic Challenges and the First Step: Printed
Temperature Sensor, in: Proceedings of the 23rd Conference of Open
Innovations Association FRUCT, FRUCT’23, FRUCT Oy, Helsinki, Uusimaa, FIN,
2018. 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, b
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, 2020a. a, b, c, d, e, f, g
Lampert, A., Pätzold, F., Asmussen, M. O., Lobitz, L., Krüger, T., Rausch, T., Sachs, T., Wille, C., Sotomayor Zakharov, D., Gaus, D., Bansmer, S., and Damm, E.: Studying boundary layer methane isotopy and vertical mixing processes at a rewetted peatland site using an unmanned aircraft system, Atmos. Meas. Tech., 13, 1937–1952, https://doi.org/10.5194/amt-13-1937-2020, 2020b. a, b
Lawrence, D. A. and Balsley, B. B.: High-Resolution Atmospheric Sensing of
Multiple Atmospheric Variables Using the DataHawk Small Airborne Measurement
System, J. Atmos. Ocean. Tech., 30, 2352–2366,
https://doi.org/10.1175/JTECH-D-12-00089.1, 2013. a, b
Lesins, G., Duck, T. J., and Drummond, J. R.: Climate trends at Eureka in the
Canadian high arctic, Atmos.-Ocean, 48, 59–80,
https://doi.org/10.3137/AO1103.2010, 2010. a
Lesins, G., Duck, T. J., and Drummond, J. R.: Surface Energy Balance Framework
for Arctic Amplification of Climate Change, J. Climate, 25,
8277–8288, https://doi.org/10.1175/JCLI-D-11-00711.1, 2012. a
Li, Z.-L., Tang, B.-H., Wu, H., Ren, H., Yan, G., Wan, Z., Trigo, I. F., and
Sobrino, J. A.: Satellite-derived land surface temperature: Current status
and perspectives, Remote Sens. Environ., 131, 14–37,
https://doi.org/10.1016/j.rse.2012.12.008, 2013. a
Luers, J. K. and Eskridge, R. E.: Use of Radiosonde Temperature Data in Climate
Studies, J. Climate, 11, 1002–1019,
1998. a
Mahesh, A., Walden, V. P., and Warren, S. G.: Radiosonde Temperature
Measurements in Strong Inversions: Correction for Thermal Lag Based on an
Experiment at the South Pole, J. Atmos. Ocean. Tech.,
14, 45–53, https://doi.org/10.1175/1520-0426(1997)014<0045:RTMISI>2.0.CO;2, 1997. a, b
Maxim Integrated Products, Inc.: MAX31865PMB1 Peripheral Module,
available at: https://datasheets.maximintegrated.com/en/ds/MAX31865PMB1.pdf (last access: 5 November 2021),
2014. a
McBeath, K.: The use of aircraft for meteorological research in the United
Kingdom, Meteorol. Appl., 21, 105–116,
https://doi.org/10.1002/met.1448, 2014. 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. Tech., 21, 1305– 1327, https://doi.org/10.1175/1520-0426(2004)021<1305:DAVOAT>2.0.CO;2, 2004. a
Multidisciplinary Drifting Observatory for the Study of Arctic Climate:
https://mosaic-expedition.org/, last access: 12 September 2021. a
National Data Buoy Center: https://www.ndbc.noaa.gov/, last access: 12 September 2021. a
Nédélec, P., Blot, R., Boulanger, D., Athier, G., Cousin, J.-M., Gautron, B.,
Petzold, A., Volz-Thomas, A., and Thouret, V.: Instrumentation on commercial
aircraft for monitoring the atmospheric composition on a global scale: the
IAGOS system, technical overview of ozone and carbon monoxide measurements,
Tellus B, 67, 27791,
https://doi.org/10.3402/tellusb.v67.27791, 2015. a
NOAA Physical Sciences Laboratory:
Title: Eureka Tower Radiation Instruments, available at:
https://psl.noaa.gov/arctic/observatories/eureka/eureka_tower.html
last access: 5 November 2021. a
Omega Engineering, Inc.: Ceramic Wire-Wound Platinum RTD Elements,
available at: https://assets.omega.com/spec/1PT100K-RTD-ELEMENTS.pdf, last access: 12 September 2021. a
Orellana-Samaniego, M. L., Ballari, D., Guzman, P., and Ospina, J. E.:
Estimating monthly air temperature using remote sensing on a region with
highly variable topography and scarce monitoring in the southern Ecuadorian
Andes, Theor. Appl. Climatol., 144, 949–966,
https://doi.org/10.1007/s00704-021-03583-3, 2021. a
Pavelsky, T. M., Boé, J., Hall, A., and Fetzer, E. J.: Atmospheric
inversion strength over polar oceans in winter regulated by sea ice, Clim.
Dynam., 36, 945–955, https://doi.org/10.1007/s00382-010-0756-8, 2011. a, b
Pesaran, A., Santhanagopalan, S., and Kim, G. H.: Addressing the Impact of
Temperature Extremes on Large Format Li-Ion Batteries for Vehicle
Applications, in: Presented at the 30th International Battery Seminar, 11–14
March 2013, Ft. Lauderdale, Florida; Related Information: NREL (National
Renewable Energy Laboratory), 2013. a
Pietroni, I., Argentini, S., and Petenko, I.: One Year of Surface-Based
Temperature Inversions at Dome C, Antarctica, Bound.-Lay. Meteorol.,
150, 131–151, https://doi.org/10.1007/s10546-013-9861-7, 2014. a, b
Pollard, W. H.: Distribution and characterization of ground ice on Fosheim
Peninsula, Ellesmere Island, Nunavut, in: Environmental response to climate
change in the Canadian High Arctic: geological survey of Canada, edited by: Garneau, M. and Alt, B. T., Bulletin,
529, 207–233, 2000. a
Rennie, J. J., Lawrimore, J. H., Gleason, B. E., Thorne, P. W., Morice, C. P.,
Menne, M. J., Williams, C. N., de Almeida, W. G., Christy, J., Flannery, M.,
Ishihara, M., Kamiguchi, K., Klein-Tank, A. M. G., Mhanda, A., Lister, D. H.,
Razuvaev, V., Renom, M., Rusticucci, M., Tandy, J., Worley, S. J., Venema,
V., Angel, W., Brunet, M., Dattore, B., Diamond, H., Lazzara, M. A.,
Le Blancq, F., Luterbacher, J., Mächel, H., Revadekar, J., Vose, R. S., and
Yin, X.: The international surface temperature initiative global land surface
databank: monthly temperature data release description and methods,
Geosci. Data J., 1, 75–102, https://doi.org/10.1002/gdj3.8,
2014. a
Reuder, J., Brisset, P., Jonassen, M. M., and Mayer, S.: The Small Unmanned
Meteorological Observer SUMO: A new tool for atmospheric boundary layer
research, Meteorol. Z., 18, 141–147,
https://doi.org/10.1127/0941-2948/2009/0363, 2009. a
Roldán, J., Joossen, G., Sanz, D., del Cerro, J., and Barrientos, A.: Mini-UAV
Based Sensory System for Measuring Environmental Variables in Greenhouses,
Sensors, 15, 3334–3350, https://doi.org/10.3390/s150203334, 2015. a
Segales, A. R., Greene, B. R., Bell, T. M., Doyle, W., Martin, J. J., Pillar-Little, E. A., and Chilson, P. B.: The CopterSonde: an insight into the development of a smart unmanned aircraft system for atmospheric boundary layer research, Atmos. Meas. Tech., 13, 2833–2848, https://doi.org/10.5194/amt-13-2833-2020, 2020. a
Shahmoradi, J., Talebi, E., Roghanchi, P., and Hassanalian, M.: A Comprehensive
Review of Applications of Drone Technology in the Mining Industry, Drones, 4,
34, https://doi.org/10.3390/drones4030034, 2020. a
Skony, S. M., Kahl, J. D. W., and Zaitseva, N. A.: Differences between
Radiosonde and Dropsonde Temperature Profiles over the Arctic Ocean, J. Atmos. Ocean. Tech., 11, 1400–1408,
https://doi.org/10.1175/1520-0426(1994)011<1400:DBRADT>2.0.CO;2, 1994. a
Smith, S. L. and Bonnaventure, P. P.: Quantifying Surface Temperature
Inversions and Their Impact on the Ground Thermal Regime at a High Arctic
Site, Arct. Antarct. Alp. Res., 49, 173–185,
https://doi.org/10.1657/AAAR0016-039, 2017. a
Soliman, A., Duguay, C., Saunders, W., and Hachem, S.: Pan-Arctic Land Surface
Temperature from MODIS and AATSR: Product Development and Intercomparison,
Remote Sensing, 4, 3833–3856, https://doi.org/10.3390/rs4123833, 2012. a
The Raspberry Pi Foundation: https://www.raspberrypi.org/,
last access: 12 September 2021. a
Tomlinson, C. J., Chapman, L., Thornes, J. E., and Baker, C.: Remote sensing
land surface temperature for meteorology and climatology: a review,
Meteorol. Appl., 18, 296–306,
https://doi.org/10.1002/met.287, 2011. a
Varentsov, M., Stepanenko, V., Repina, I., Artamonov, A., Bogomolov, V.,
Kuksova, N., Marchuk, E., Pashkin, A., and Varentsov, A.: Balloons and
Quadcopters: Intercomparison of Two Low-Cost Wind Profiling Methods,
Atmosphere, 12, 380, https://doi.org/10.3390/atmos12030380, 2021. a, b
Villa, T., Salimi, F., Morton, K., Morawska, L., and Gonzalez, F.: Development
and Validation of a UAV Based System for Air Pollution Measurements, Sensors,
16, 2202, https://doi.org/10.3390/s16122202, 2016. a
Walden, V. P., Mahesh, A., and Warren, S. G.: Comment on “Recent changes in
the North American Arctic boundary layer in winter” by R. S. Bradley et
al., J. Geophys. Res.-Atmos., 101, 7127–7134,
https://doi.org/10.1029/95JD03233, 1996. a, b, c
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
Wang, T., Shi, J., Ma, Y., Husi, L., Comyn-Platt, E., Ji, D., Zhao, T., and
Xiong, C.: Recovering Land Surface Temperature Under Cloudy Skies Considering
the Solar-Cloud-Satellite Geometry: Application to MODIS and Landsat-8 Data,
J. Geophys. Res.-Atmos., 124, 3401–3416,
https://doi.org/10.1029/2018JD028976, 2019. a
Webb, W. L., Hubert, W. E., Miller, R. L., and Spurling, J. F.: The First
Meteorological Rocket Network, B. Am. Meteorol.
Soc., 42, 482–494,
1961. a
Wenta, M., Brus, D., Doulgeris, K., Vakkari, V., and Herman, A.: Winter atmospheric boundary layer observations over sea ice in the coastal zone of the Bay of Bothnia (Baltic Sea), Earth Syst. Sci. Data, 13, 33–42, https://doi.org/10.5194/essd-13-33-2021, 2021. a
Wildmann, N., Mauz, M., and Bange, J.: Two fast temperature sensors for probing of the atmospheric boundary layer using small remotely piloted aircraft (RPA), Atmos. Meas. Tech., 6, 2101–2113, https://doi.org/10.5194/amt-6-2101-2013, 2013. a
World Meteorological Organization: The State of the Global Climate 2020,
available at: https://public.wmo.int/en/our-mandate/climate/wmo-statement-state-of-global-climate, last access: 12 September 2021.
a
Zappa, C. J., Brown, S. M., Laxague, N. J. M., Dhakal, T., Harris, R. A.,
Farber, A. M., and Subramaniam, A.: Using Ship-Deployed High-Endurance
Unmanned Aerial Vehicles for the Study of Ocean Surface and Atmospheric
Boundary Layer Processes, Front. Mar. Sci., 6, 777,
https://doi.org/10.3389/fmars.2019.00777, 2020. a, b, c
Zhang, S., Xu, K., and Jow, T.: The low temperature performance of Li-ion
batteries, J. Power Sources, 115, 137–140,
https://doi.org/10.1016/S0378-7753(02)00618-3, 2003. a
Zhang, Y., Seidel, D. J., Golaz, J.-C., Deser, C., and Tomas, R. A.:
Climatological Characteristics of Arctic and Antarctic Surface-Based
Inversions, J. Climate, 24, 5167–5186,
https://doi.org/10.1175/2011JCLI4004.1, 2011. a
Zubax Robotics: Zubax GNSS 2 Datasheet,
available at: https://files.zubax.com/products/com.zubax.gnss/Zubax_GNSS_2_Datasheet.pdf (last access: 5 November 2021),
2019. a
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.
Two commercial quadcopters (DJI Matrice 100 and M210 RTK) were equipped with an air temperature...
