Articles | Volume 13, issue 2
https://doi.org/10.5194/amt-13-445-2020
© Author(s) 2020. 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-13-445-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Feb 2020
Research article |
| 05 Feb 2020
| 05 Feb 2020
Rayleigh wind retrieval for the ALADIN airborne demonstrator of the Aeolus mission using simulated response calibration
Xiaochun Zhai
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen 82234, Germany
Ocean University of China, College of Information Science and
Engineering, Ocean Remote Sensing Institute,
Qingdao 266100, China
Uwe Marksteiner
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen 82234, Germany
Fabian Weiler
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen 82234, Germany
Christian Lemmerz
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen 82234, Germany
Oliver Lux
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen 82234, Germany
Benjamin Witschas
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen 82234, Germany
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen 82234, Germany
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Johannes Wagner, Andreas Dörnbrack, Markus Rapp, Sonja Gisinger, Benedikt Ehard, Martina Bramberger, Benjamin Witschas, Fernando Chouza, Stephan Rahm, Christian Mallaun, Gerd Baumgarten, and Peter Hoor
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This study presents the analysis of island induced gravity waves observed by an airborne Doppler wind lidar (DWL). First, the instrumental corrections required for the retrieval vertical wind measurements from an airborne DWL are presented. Then, the method is applied to two case studies to determine, in combination with numerical models and in situ measurements, the main characteristics of the observed waves.
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Large eddy simulations (LESs) are performed for the area of the Caribbean island Barbados to investigate island effects on boundary layer modification, cloud generation and vertical mixing of aerosols. Incoming Saharan dust layers are analyzed and effects of layer thinning, subsidence and turbulent downward transport become apparent, which are sensitive to atmospheric stability and wind shear. Comparisons of LES model output with lidar data systems are made to validate the modeling results.
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Natalie E. Theeuwes, Janet F. Barlow, Antti Mannisenaho, Denise Hertwig, Ewan O'Connor, and Alan Robins
Atmos. Meas. Tech., 18, 1355–1371, https://doi.org/10.5194/amt-18-1355-2025, https://doi.org/10.5194/amt-18-1355-2025, 2025
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A Doppler lidar was placed in a highly built-up area in London to measure wakes from tall buildings during a period of 1 year. We were able to detect wakes and assess their dependence on wind speed, wind direction, and atmospheric stability.
Chengli Ji, Qiankai Jin, Feilong Li, Yuyang Liu, Zhicheng Wang, Jiajia Mao, Xiaoyu Ren, Yan Xiang, Wanlin Jian, Peitao Zhao, and Zhenyi Chen
EGUsphere, https://doi.org/10.5194/egusphere-2025-1171, https://doi.org/10.5194/egusphere-2025-1171, 2025
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This study presents the humidity measurements with a synergetic algorithm combining Raman lidar, MVR, and satellite. The results from 47 sites in China show the best correlation over 0.9 concerning the radiosonde measurements. It validates the RH accuracy with various data integrations. Three representative sites present the different seasonal characteristics indicating the geographic and height influences on the RH vertical distribution.
Maurice Roots, John T. Sullivan, and Belay Demoz
Atmos. Meas. Tech., 18, 1269–1282, https://doi.org/10.5194/amt-18-1269-2025, https://doi.org/10.5194/amt-18-1269-2025, 2025
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This paper presents a supervised-machine-learning approach for the automatic isolation of nocturnal low-level jets (NLLJs) using observations from a radar wind profiler. This analysis isolated 90 southwesterly NLLJs observed from May to September 2017–2021, highlighting key features in the evolution and morphology of the mid-Atlantic NLLJ.
Padmanabhan Thiruvengadam, Guillaume Lesage, Ambinintsoa Volatiana Ramanamahefa, and Joël Van Baelen
Atmos. Meas. Tech., 18, 1185–1191, https://doi.org/10.5194/amt-18-1185-2025, https://doi.org/10.5194/amt-18-1185-2025, 2025
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This study explores how the joints in a weather radar's protective cover affect its measurements. We developed a new method to correct these errors, improving the accuracy of the radar's data. Our method was tested during an intense cyclone on Réunion Island, demonstrating significant improvements in data accuracy. This research is crucial for enhancing weather predictions and understanding, particularly in challenging terrains.
Dong L. Wu, Valery A. Yudin, Kyu-Myong Kim, Mohar Chattopadhyay, Lawrence Coy, Ruth S. Lieberman, C. C. Jude H. Salinas, Jae N. Lee, Jie Gong, and Guiping Liu
Atmos. Meas. Tech., 18, 843–863, https://doi.org/10.5194/amt-18-843-2025, https://doi.org/10.5194/amt-18-843-2025, 2025
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Global Navigation Satellite System radio occultation data help monitor climate and weather prediction but are affected by residual ionospheric errors (RIEs). A new excess-phase-gradient method detects and corrects RIEs, showing both positive and negative values, varying by latitude, time, and solar activity. Tests show that RIE impacts polar stratosphere temperatures in models, with differences up to 3–4 K. This highlights the need for RIE correction to improve the accuracy of data assimilation.
Miguel Aldana, Seppo Pulkkinen, Annakaisa von Lerber, Matthew R. Kumjian, and Dmitri Moisseev
Atmos. Meas. Tech., 18, 793–816, https://doi.org/10.5194/amt-18-793-2025, https://doi.org/10.5194/amt-18-793-2025, 2025
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Accurate KDP estimates are crucial in radar-based applications. We quantify the uncertainties of several publicly available KDP estimation methods for multiple rainfall intensities. We use C-band weather radar observations and employed a self-consistency KDP, estimated from reflectivity and differential reflectivity, as a framework for the examination. Our study provides guidance for the performance, uncertainties, and optimisation of the methods, focusing mainly on accuracy and robustness.
Lei Liu, Natalia Bliankinshtein, Yi Huang, John R. Gyakum, Philip M. Gabriel, Shiqi Xu, and Mengistu Wolde
Atmos. Meas. Tech., 18, 471–485, https://doi.org/10.5194/amt-18-471-2025, https://doi.org/10.5194/amt-18-471-2025, 2025
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This study evaluates and compares a new microwave hyperspectrometer with an infrared hyperspectrometer for clear-sky temperature and water vapor retrievals. The analysis reveals that the information content of the infrared hyperspectrometer exceeds that of the microwave hyperspectrometer and provides higher vertical resolution in ground-based zenith measurements. Leveraging the ground–airborne synergy between the two instruments yielded optimal sounding results.
David D. Turner, Maria P. Cadeddu, Julia Simonson, and Timothy J. Wagner
EGUsphere, https://doi.org/10.5194/egusphere-2024-4124, https://doi.org/10.5194/egusphere-2024-4124, 2025
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When deriving a geophysical variable from remote sensors, the uncertainty and information content are critical. The latter quantify specifies what fraction of a real perturbation would be observed in the derived variable. This paper outlines, for the first time, a methodology for propagating the information content from multiple remote sensors into a derived product, using horizontal advection as an example.
Endrit Shehaj, Stephen Leroy, Kerri Cahoy, Alain Geiger, Laura Crocetti, Gregor Moeller, Benedikt Soja, and Markus Rothacher
Atmos. Meas. Tech., 18, 57–72, https://doi.org/10.5194/amt-18-57-2025, https://doi.org/10.5194/amt-18-57-2025, 2025
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This work investigates whether machine learning (ML) can offer an alternative to existing methods to map radio occultation (RO) products, allowing the extraction of information not visible in direct observations. ML can further improve the results of Bayesian interpolation, a state-of-the-art method to map RO observations. The results display improvements in horizontal and temporal domains, at heights ranging from the planetary boundary layer up to the lower stratosphere, and for all seasons.
Luuk D. van der Valk, Oscar K. Hartogensis, Miriam Coenders-Gerrits, Rolf W. Hut, Bas Walraven, and Remko Uijlenhoet
EGUsphere, https://doi.org/10.5194/egusphere-2024-2974, https://doi.org/10.5194/egusphere-2024-2974, 2025
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Commercial microwave links (CMLs), part of mobile phone networks, transmit comparable signals as instruments specially designed to estimate evaporation. Therefore, we investigate if CMLs could be used to estimate evaporation, even though they have not been designed for this purpose. Our results illustrate the potential of using CMLs to estimate evaporation, especially given their global coverage, but also outline some major drawbacks, often a consequence of unfavourable design choices for CMLs.
Andreas Foth, Moritz Lochmann, Pablo Saavedra Garfias, and Heike Kalesse-Los
Atmos. Meas. Tech., 17, 7169–7181, https://doi.org/10.5194/amt-17-7169-2024, https://doi.org/10.5194/amt-17-7169-2024, 2024
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Microwave radiometers are usually not able to provide atmospheric quantities such as temperature profiles during rain. We present a method based on a selection of specific frequencies and elevation angles from microwave radiometer observations. A comparison with a numerical weather prediction model shows the presented method allows low-level temperature profiles during rain to be resolved, with rain rates of up to 2.5 mm h−1,, which was not possible before with state-of-the-art retrievals.
Lev D. Labzovskii, Gerd-Jan van Zadelhoff, David P. Donovan, Jos de Kloe, L. Gijsbert Tilstra, Ad Stoffelen, Damien Josset, and Piet Stammes
Atmos. Meas. Tech., 17, 7183–7208, https://doi.org/10.5194/amt-17-7183-2024, https://doi.org/10.5194/amt-17-7183-2024, 2024
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The Atmospheric Laser Doppler Instrument (ALADIN) on the Aeolus satellite was the first of its kind to measure high-resolution vertical profiles of aerosols and cloud properties from space. We present an algorithm that produces Aeolus lidar surface returns (LSRs), containing useful information for measuring UV reflectivity. Aeolus LSRs matched well with existing UV reflectivity data from other satellites, like GOME-2 and TROPOMI, and demonstrated excellent sensitivity to modeled snow cover.
Thomas Hocking, Thorsten Mauritsen, and Linda Megner
Atmos. Meas. Tech., 17, 7077–7095, https://doi.org/10.5194/amt-17-7077-2024, https://doi.org/10.5194/amt-17-7077-2024, 2024
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The imbalance between the energy the Earth absorbs from the Sun and the energy the Earth emits back into space gives rise to climate change, but measuring the small imbalance is challenging. We simulate satellites in various orbits to investigate how well they sample the imbalance and find that the best option is to combine at least two satellites that see complementary parts of the Earth and cover the daily and annual cycles. This information is useful when planning future satellite missions.
Almudena Velázquez Blázquez, Carlos Domenech, Edward Baudrez, Nicolas Clerbaux, Carla Salas Molar, and Nils Madenach
Atmos. Meas. Tech., 17, 7007–7026, https://doi.org/10.5194/amt-17-7007-2024, https://doi.org/10.5194/amt-17-7007-2024, 2024
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This paper focuses on the BMA-FLX processor, in which thermal and solar top-of-atmosphere radiative fluxes are obtained from longwave and shortwave radiances measured along track by the EarthCARE Broadband Radiometer (BBR). The BBR measurements, at three fixed viewing angles (fore, nadir, aft), are co-registered either at the surface or at a reference level. A combined flux from the three BRR views is obtained. The algorithm has been successfully validated against test scenes.
Wolf Knöller, Gholamhossein Bagheri, Philipp von Olshausen, and Michael Wilczek
Atmos. Meas. Tech., 17, 6913–6931, https://doi.org/10.5194/amt-17-6913-2024, https://doi.org/10.5194/amt-17-6913-2024, 2024
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Three-dimensional (3D) wind velocity measurements are of major importance for the characterization of atmospheric turbulence. This paper presents a detailed study of the measurement uncertainty of a three-beam wind lidar designed for mounting on airborne platforms. Considering the geometrical constraints, the analysis provides quantitative estimates for the measurement uncertainty of all components of the 3D wind vector. As a result, we propose optimized post-processing for error reduction.
Bianca Adler, David D. Turner, Laura Bianco, Irina V. Djalalova, Timothy Myers, and James M. Wilczak
Atmos. Meas. Tech., 17, 6603–6624, https://doi.org/10.5194/amt-17-6603-2024, https://doi.org/10.5194/amt-17-6603-2024, 2024
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Continuous profile observations of temperature and humidity in the lowest part of the atmosphere are essential for the evaluation of numerical weather prediction models and data assimilation for better weather forecasts. Such profiles can be retrieved from passive ground-based remote sensing instruments like infrared spectrometers and microwave radiometers. In this study, we describe three recent modifications to the retrieval framework TROPoe for improved temperature and humidity profiles.
Bernat Puigdomènech Treserras and Pavlos Kollias
Atmos. Meas. Tech., 17, 6301–6314, https://doi.org/10.5194/amt-17-6301-2024, https://doi.org/10.5194/amt-17-6301-2024, 2024
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The paper presents a comprehensive approach to improve the geolocation accuracy of spaceborne radar and lidar systems, crucial for the successful interpretation of data from the upcoming EarthCARE mission. The paper details the technical background of the presented methods and various examples of geolocation analyses, including a short period of CloudSat observations when the star tracker was not operating properly and lifetime statistics from the CloudSat and CALIPSO missions.
Andreas Walbröl, Hannes J. Griesche, Mario Mech, Susanne Crewell, and Kerstin Ebell
Atmos. Meas. Tech., 17, 6223–6245, https://doi.org/10.5194/amt-17-6223-2024, https://doi.org/10.5194/amt-17-6223-2024, 2024
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We developed retrievals of integrated water vapour (IWV), temperature profiles, and humidity profiles from ground-based passive microwave remote sensing measurements gathered during the MOSAiC expedition. We demonstrate and quantify the benefit of combining low- and high-frequency microwave radiometers to improve humidity profiling and IWV estimates by comparing the retrieved quantities to single-instrument retrievals and reference datasets (radiosondes).
Giulia Roccetti, Luca Bugliaro, Felix Gödde, Claudia Emde, Ulrich Hamann, Mihail Manev, Michael Fritz Sterzik, and Cedric Wehrum
Atmos. Meas. Tech., 17, 6025–6046, https://doi.org/10.5194/amt-17-6025-2024, https://doi.org/10.5194/amt-17-6025-2024, 2024
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The amount of sunlight reflected by the Earth’s surface (albedo) is vital for the Earth's radiative system. While satellite instruments offer detailed spatial and temporal albedo maps, they only cover seven wavelength bands. We generate albedo maps that fully span the visible and near-infrared range using a machine learning algorithm. These maps reveal how the reflectivity of different land surfaces varies throughout the year. Our dataset enhances the understanding of the Earth's energy balance.
Sebastian Rhode, Peter Preusse, Jörn Ungermann, Inna Polichtchouk, Kaoru Sato, Shingo Watanabe, Manfred Ern, Karlheinz Nogai, Björn-Martin Sinnhuber, and Martin Riese
Atmos. Meas. Tech., 17, 5785–5819, https://doi.org/10.5194/amt-17-5785-2024, https://doi.org/10.5194/amt-17-5785-2024, 2024
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We investigate the capabilities of a proposed satellite mission, CAIRT, for observing gravity waves throughout the middle atmosphere and present the necessary methodology for in-depth wave analysis. Our findings suggest that such a satellite mission is highly capable of resolving individual wave parameters and could give new insights into the role of gravity waves in general atmospheric circulation and atmospheric processes.
Xiaoye Wang, Jing Xu, Songhua Wu, Qichao Wang, Guangyao Dai, Peizhi Zhu, Zhizhong Su, Sai Chen, Xiaomeng Shi, and Mengqi Fan
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-156, https://doi.org/10.5194/amt-2024-156, 2024
Revised manuscript accepted for AMT
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In this paper, we proposed a data fusion method to obtain the no-blind zone wind speed profiles covering the whole Atmospheric Boundary Layer based on the joint measurements of coherent Doppler lidar (CDL), radar wind profiler (RWP) and automatic weather station (AWS). Since above instruments are widely deployed in China, we believe this method has broad application prospects on the improvement of the boundary layer parameterization scheme in numerical forecast models.
Suyoung Sim, Sungwon Choi, Daeseong Jung, Jongho Woo, Nayeon Kim, Sungwoo Park, Honghee Kim, Ukkyo Jeong, Hyunkee Hong, and Kyung-Soo Han
Atmos. Meas. Tech., 17, 5601–5618, https://doi.org/10.5194/amt-17-5601-2024, https://doi.org/10.5194/amt-17-5601-2024, 2024
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This study evaluates the use of background surface reflectance (BSR) derived from a semi-empirical bidirectional reflectance distribution function (BRDF) model based on GEMS satellite images. Analysis shows that BSR provides improved accuracy and stability compared to Lambertian-equivalent reflectivity (LER). These results indicate that BSR can significantly enhance climate analysis and air quality monitoring, making it a promising tool for accurate environmental satellite applications.
Erlend Øydvin, Renaud Gaban, Jafet Andersson, Remco van de Beek, Mareile Astrid Wolff, Nils-Otto Kitterød, Christian Chwala, and Vegard Nilsen
EGUsphere, https://doi.org/10.5194/egusphere-2024-2625, https://doi.org/10.5194/egusphere-2024-2625, 2024
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We present a novel method for classifying rain and snow by combining data from Commercial Microwave Links (CMLs) with weather radar. We compare this to a reference method using dew point temperature for precipitation type classification. Evaluations with nearby disdrometers show that CMLs improve the classification of dry snow and rainfall, outperforming the reference method.
Daniel Durbin, Yadong Wang, and Pao-Liang Chang
Atmos. Meas. Tech., 17, 5397–5411, https://doi.org/10.5194/amt-17-5397-2024, https://doi.org/10.5194/amt-17-5397-2024, 2024
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A method for determining drop size distributions (DSDs) for rain using radar measurements from two frequencies at two polarizations is presented. Following some preprocessing and quality control, radar measurements are incorporated into a model that uses swarm intelligence to seek the most suitable DSD to produce the input measurements.
Witali Krochin, Axel Murk, and Gunter Stober
Atmos. Meas. Tech., 17, 5015–5028, https://doi.org/10.5194/amt-17-5015-2024, https://doi.org/10.5194/amt-17-5015-2024, 2024
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Atmospheric tides are global-scale oscillations with periods of a fraction of a day. Their observation in the middle atmosphere is challenging and rare, as it requires continuous measurements with a high temporal resolution. In this paper, temperature time series of a ground-based microwave radiometer were analyzed with a spectral filter to derive thermal tide amplitudes and phases in an altitude range of 25–50 km at the geographical locations of Payerne and Bern (Switzerland).
Matteo Ottaviani, Gabriel Harris Myers, and Nan Chen
Atmos. Meas. Tech., 17, 4737–4756, https://doi.org/10.5194/amt-17-4737-2024, https://doi.org/10.5194/amt-17-4737-2024, 2024
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We analyze simulated polarization observations over snow to investigate the capabilities of remote sensing to determine surface and atmospheric properties in snow-covered regions. Polarization measurements are demonstrated to aid in the determination of snow grain shape, ice crystal roughness, and the vertical distribution of impurities in the snow–atmosphere system, data that are critical for estimating snow albedo for use in climate models.
Yudong Gao, Lidou Huyan, Zheng Wu, and Bojun Liu
Atmos. Meas. Tech., 17, 4675–4686, https://doi.org/10.5194/amt-17-4675-2024, https://doi.org/10.5194/amt-17-4675-2024, 2024
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A symmetric error model built by symmetric rain rates handles the non-Gaussian error structure of the reflectivity error. The accuracy and linearization of rain rates can further improve the Gaussianity.
José Alex Zenteno-Hernández, Adolfo Comerón, Federico Dios, Alejandro Rodríguez-Gómez, Constantino Muñoz-Porcar, Michaël Sicard, Noemi Franco, Andreas Behrendt, and Paolo Di Girolamo
Atmos. Meas. Tech., 17, 4687–4694, https://doi.org/10.5194/amt-17-4687-2024, https://doi.org/10.5194/amt-17-4687-2024, 2024
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We study how the spectral characteristics of a solid-state laser in an atmospheric temperature profiling lidar using the Raman technique impact the temperature retrieval accuracy. We find that the spectral widening, with respect to a seeded laser, has virtually no impact, while crystal-rod temperature variations in the laser must be kept within a range of 1 K for the uncertainty in the atmospheric temperature below 1 K. The study is carried out through spectroscopy simulations.
Robert Reichert, Natalie Kaifler, and Bernd Kaifler
Atmos. Meas. Tech., 17, 4659–4673, https://doi.org/10.5194/amt-17-4659-2024, https://doi.org/10.5194/amt-17-4659-2024, 2024
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Imagine you want to determine how quickly the pitch of a passing ambulance’s siren changes. If the vehicle is traveling slowly, the pitch changes only slightly, but if it is traveling fast, the pitch also changes rapidly. In a similar way, the wind in the middle atmosphere modulates the wavelength of atmospheric gravity waves. We have investigated the question of how strong the maximum wind may be so that the change in wavelength can still be determined with the help of wavelet transformation.
Qiang Guo, Yuning Liu, Xin Wang, and Wen Hui
Atmos. Meas. Tech., 17, 4613–4627, https://doi.org/10.5194/amt-17-4613-2024, https://doi.org/10.5194/amt-17-4613-2024, 2024
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Non-linearity (NL) correction is a critical procedure to guarantee that the calibration accuracy of a spaceborne sensor approaches a reasonable level. Different from the classical method, a new NL correction method for a spaceborne Fourier transform spectrometer is proposed. To overcome the inaccurate linear coefficient from two-point calibration influencing NL correction, an iteration algorithm is established that is suitable for NL correction of both infrared and microwave sensors.
Bing Cao, Jennifer S. Haase, Michael J. Murphy Jr., and Anna M. Wilson
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-119, https://doi.org/10.5194/amt-2024-119, 2024
Revised manuscript accepted for AMT
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This paper describes an Airborne Radio Occultation (ARO) observation system installed on reconnaissance aircraft that uses GPS signal refraction in the atmosphere to retrieve information about the temperature and moisture in the storm environment as far away as 400 km surrounding the flight track. The characteristics and quality of 1700 ARO refractivity profiles were assessed. These observations are collected to help understand atmospheric rivers and improve their forecasting.
Yuanxin Pan, Grzegorz Kłopotek, Laura Crocetti, Rudi Weinacker, Tobias Sturn, Linda See, Galina Dick, Gregor Möller, Markus Rothacher, Ian McCallum, Vicente Navarro, and Benedikt Soja
Atmos. Meas. Tech., 17, 4303–4316, https://doi.org/10.5194/amt-17-4303-2024, https://doi.org/10.5194/amt-17-4303-2024, 2024
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Crowdsourced smartphone GNSS data were processed with a dedicated data processing pipeline and could produce millimeter-level accurate estimates of zenith total delay (ZTD) – a critical atmospheric variable. This breakthrough not only demonstrates the feasibility of using ubiquitous devices for high-precision atmospheric monitoring but also underscores the potential for a global, cost-effective tropospheric monitoring network.
Almudena Velázquez Blázquez, Edward Baudrez, Nicolas Clerbaux, and Carlos Domenech
Atmos. Meas. Tech., 17, 4245–4256, https://doi.org/10.5194/amt-17-4245-2024, https://doi.org/10.5194/amt-17-4245-2024, 2024
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The Broadband Radiometer measures shortwave and total-wave radiances filtered by the spectral response of the instrument. To obtain unfiltered solar and thermal radiances, the effect of the spectral response needs to be corrected for, done within the BM-RAD processor. Errors in the unfiltering are propagated into fluxes; thus, accurate unfiltering is required for their proper estimation (within BMA-FLX). Unfiltering errors are estimated to be <0.5 % for the shortwave and <0.1 % for the longwave.
Qihou Zhou, Yanlin Li, and Yun Gong
Atmos. Meas. Tech., 17, 4197–4209, https://doi.org/10.5194/amt-17-4197-2024, https://doi.org/10.5194/amt-17-4197-2024, 2024
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We discuss several robust estimators to compute the variance of a normally distributed random variable to deal with interference. Compared to rank-based estimators, the methods based on the geometric mean are more accurate and are computationally more efficient. We apply three robust estimators to incoherent scatter power and velocity processing, along with the traditional sample mean estimator. The best estimator is a hybrid estimator that combines the sample mean and a robust estimator.
Zhao Shi, Yuxiang Wen, and Jianxin He
Atmos. Meas. Tech., 17, 4121–4135, https://doi.org/10.5194/amt-17-4121-2024, https://doi.org/10.5194/amt-17-4121-2024, 2024
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The squall line is a type of convective system. Squall lines are often associated with damaging weather, so identifying and tracking squall lines plays an important role in early meteorological disaster warnings. A clustering-based method is proposed in this article. It can identify the squall lines within the radar scanning range with an accuracy rate of 95.93 %. It can also provide the three-dimensional structure and movement tracking results for each squall line.
Elizabeth N. Smith and Jacob T. Carlin
Atmos. Meas. Tech., 17, 4087–4107, https://doi.org/10.5194/amt-17-4087-2024, https://doi.org/10.5194/amt-17-4087-2024, 2024
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Boundary-layer height observations remain sparse in time and space. In this study we create a new fuzzy logic method for synergistically combining boundary-layer height estimates from a suite of instruments. These estimates generally compare well to those from radiosondes; plus, the approach offers near-continuous estimates through the entire diurnal cycle. Suspected reasons for discrepancies are discussed. The code for the newly presented fuzzy logic method is provided for the community to use.
Laura Bianco, Bianca Adler, Ludovic Bariteau, Irina V. Djalalova, Timothy Myers, Sergio Pezoa, David D. Turner, and James M. Wilczak
Atmos. Meas. Tech., 17, 3933–3948, https://doi.org/10.5194/amt-17-3933-2024, https://doi.org/10.5194/amt-17-3933-2024, 2024
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The Tropospheric Remotely Observed Profiling via Optimal Estimation physical retrieval is used to retrieve temperature and humidity profiles from various combinations of passive and active remote sensing instruments, surface platforms, and numerical weather prediction models. The retrieved profiles are assessed against collocated radiosonde in non-cloudy conditions to assess the sensitivity of the retrievals to different input combinations. Case studies with cloudy conditions are also inspected.
Björn Linder, Peter Preusse, Qiuyu Chen, Ole Martin Christensen, Lukas Krasauskas, Linda Megner, Manfred Ern, and Jörg Gumbel
Atmos. Meas. Tech., 17, 3829–3841, https://doi.org/10.5194/amt-17-3829-2024, https://doi.org/10.5194/amt-17-3829-2024, 2024
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The Swedish research satellite MATS (Mesospheric Airglow/Aerosol Tomography and Spectroscopy) is designed to study atmospheric waves in the mesosphere and lower thermosphere. These waves perturb the temperature field, and thus, by observing three-dimensional temperature fluctuations, their properties can be quantified. This pre-study uses synthetic MATS data generated from a general circulation model to investigate how well wave properties can be retrieved.
Gia Huan Pham, Shu-Chih Yang, Chih-Chien Chang, Shu-Ya Chen, and Cheng Yung Huang
Atmos. Meas. Tech., 17, 3605–3623, https://doi.org/10.5194/amt-17-3605-2024, https://doi.org/10.5194/amt-17-3605-2024, 2024
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This research examines the characteristics of low-level GNSS radio occultation (RO) refractivity bias over ocean and land and its dependency on the RO retrieval uncertainty, atmospheric temperature, and moisture. We propose methods for estimating the region-dependent refractivity bias. Our methods can be applied to calibrate the refractivity bias under different atmospheric conditions and thus improve the applications of the GNSS RO data in the deep troposphere.
Sebastiano Padovan, Axel Von Engeln, Saverio Paolella, Yago Andres, Chad R. Galley, Riccardo Notarpietro, Veronica Rivas Boscán, Francisco Sancho, Francisco Martin Alemany, Nicolas Morew, and Christian Marquardt
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-80, https://doi.org/10.5194/amt-2024-80, 2024
Revised manuscript accepted for AMT
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Radio Occultation (RO) measurements are an important contribution to numerical weather predictions and long-term climate studies. Using more than a hundred thousand occultations recorded by instruments onboard the Sentinel-6A and Cosmic-2 satellites, this work studies the effects of the clock data rate of the Global Navigation Satellite System on the RO data quality. GLONASS occultations benefit of high-rate clock data (1 second), GPS occultation have high quality already at 30 seconds.
Sanja Dmitrovic, Johnathan W. Hair, Brian L. Collister, Ewan Crosbie, Marta A. Fenn, Richard A. Ferrare, David B. Harper, Chris A. Hostetler, Yongxiang Hu, John A. Reagan, Claire E. Robinson, Shane T. Seaman, Taylor J. Shingler, Kenneth L. Thornhill, Holger Vömel, Xubin Zeng, and Armin Sorooshian
Atmos. Meas. Tech., 17, 3515–3532, https://doi.org/10.5194/amt-17-3515-2024, https://doi.org/10.5194/amt-17-3515-2024, 2024
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This study introduces and evaluates a new ocean surface wind speed product from the NASA Langley Research Center (LARC) airborne High-Spectral-Resolution Lidar – Generation 2 (HSRL-2) during the NASA ACTIVATE mission. We show that HSRL-2 surface wind speed data are accurate when compared to ground-truth dropsonde measurements. Therefore, the HSRL-2 instrument is able obtain accurate, high-resolution surface wind speed data in airborne field campaigns.
Laura M. Tomkins, Sandra E. Yuter, and Matthew A. Miller
Atmos. Meas. Tech., 17, 3377–3399, https://doi.org/10.5194/amt-17-3377-2024, https://doi.org/10.5194/amt-17-3377-2024, 2024
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We have created a new method to better identify enhanced features in radar data from winter storms. Unlike the clear-cut features seen in warm-season storms, features in winter storms are often fuzzier with softer edges. Our technique is unique because it uses two adaptive thresholds that change based on the background radar values. It can identify both strong and subtle features in the radar data and takes into account uncertainties in the detection process.
Eileen Päschke and Carola Detring
Atmos. Meas. Tech., 17, 3187–3217, https://doi.org/10.5194/amt-17-3187-2024, https://doi.org/10.5194/amt-17-3187-2024, 2024
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Little noise in radial velocity Doppler lidar measurements can contribute to large errors in retrieved turbulence variables. In order to distinguish between plausible and erroneous measurements we developed new filter techniques that work independently of the choice of a specific threshold for the signal-to-noise ratio. The performance of these techniques is discussed both by means of assessing the filter results and by comparing retrieved turbulence variables versus independent measurements.
Luuk D. van der Valk, Miriam Coenders-Gerrits, Rolf W. Hut, Aart Overeem, Bas Walraven, and Remko Uijlenhoet
Atmos. Meas. Tech., 17, 2811–2832, https://doi.org/10.5194/amt-17-2811-2024, https://doi.org/10.5194/amt-17-2811-2024, 2024
Short summary
Short summary
Microwave links, often part of mobile phone networks, can be used to measure rainfall along the link path by determining the signal loss caused by rainfall. We use high-frequency data of multiple microwave links to recreate commonly used sampling strategies. For time intervals up to 1 min, the influence of sampling strategies on estimated rainfall intensities is relatively little, while for intervals longer than 5–15 min, the sampling strategy can have significant influences on the estimates.
Martin Lainer, Killian P. Brennan, Alessandro Hering, Jérôme Kopp, Samuel Monhart, Daniel Wolfensberger, and Urs Germann
Atmos. Meas. Tech., 17, 2539–2557, https://doi.org/10.5194/amt-17-2539-2024, https://doi.org/10.5194/amt-17-2539-2024, 2024
Short summary
Short summary
This study uses deep learning (the Mask R-CNN model) on drone-based photogrammetric data of hail on the ground to estimate hail size distributions (HSDs). Traditional hail sensors' limited areas complicate the full HSD retrieval. The HSD of a supercell event on 20 June 2021 is retrieved and contains > 18 000 hailstones. The HSD is compared to automatic hail sensor measurements and those of weather-radar-based MESHS. Investigations into ground hail melting are performed by five drone flights.
Cited articles
Ansmann, A., Wandinger, U., Le Rille, O., Lajas, D., and Straume, A. G.:
Particulate backscatter and extinction profiling with the spaceborne
high-spectral-resolution Doppler lidar ALADIN: methodology and
simulations, Appl. Optics, 46, 6606–6622,
https://doi.org/10.1364/AO.46.006606, 2007.
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, 2014.
Baumgarten, G.: Doppler Rayleigh/Mie/Raman lidar for wind and temperature measurements in the middle atmosphere up to 80 km, Atmos. Meas. Tech., 3, 1509–1518, https://doi.org/10.5194/amt-3-1509-2010, 2010.
Bruneau, D.: Mach–Zehnder interferometer as a spectral analyzer for
molecular Doppler wind lidar, Appl. Optics, 40, 391–399,
https://doi.org/10.1364/AO.40.000391, 2001.
Bruneau, D. and Pelon, J.: Simultaneous measurements of particle
backscattering and extinction coefficients and wind velocity by lidar with a
Mach–Zehnder interferometer: principle of operation and performance
assessment, Appl. Optics, 42, 1101–1114, https://doi.org/10.1364/AO.42.001101,
2003.
Chanin, M. L., Garnier, A., Hauchecorne, A., and Porteneuve, J.: A Doppler
lidar for measuring winds in the middle atmosphere, Geophys. Res. Lett., 16,
1273–1276, https://doi.org/10.1029/GL016i011p01273, 1989.
Chouza, F., Reitebuch, O., Jähn, M., Rahm, S., and Weinzierl, B.: Vertical wind retrieved by airborne lidar and analysis of island induced gravity waves in combination with numerical models and in situ particle measurements, Atmos. Chem. Phys., 16, 4675–4692, https://doi.org/10.5194/acp-16-4675-2016, 2016.
Dabas, A. and Huber, D.: Generation and update of AUX_CSR,
AE-TN-MFG-L2P-CAL-003, Météo-France/CNRM, 4.0, 43 pp., 2017.
Dabas, A., Denneulin, M. L., Flamant, P., Loth, C., Garnier, A., and
Dolfi-Bouteyre, A.: Correcting winds measured with a Rayleigh Doppler lidar
from pressure and temperature effects, Tellus A, 60, 206–215, https://doi.org/10.1111/j.1600-0870.2007.00284.x,
2008.
Dou, X., Han, Y., Sun, D., Xia, H., Shu, Z., Zhao, R., Shangguan, M., and
Guo, J.: Mobile Rayleigh Doppler lidar for wind and temperature measurements
in the stratosphere and lower mesosphere, Opt. Express, 22, A1203–A1221,
https://doi.org/10.1364/OE.22.0A1203, 2014.
Durand, Y., Chinal, E., Endemann, M., Meynart, R., Reitebuch, O., and
Treichel, R.: ALADIN airborne demonstrator: a Doppler Wind lidar to prepare
ESA's ADM-Aeolus Explorer mission, in: Proceedings of Earth Observing
Systems XI. International Society for Optics and Photonics, San Diego,
California, United States, September 2006.
ESA: ADM-Aeolus: Science Report, ESA Communication Production Office, 2008.
Flamant, P., Cuesta, J., Denneulin, M. L., Dabas, A., and Huber, D.:
ADM-Aeolus retrieval algorithms for aerosol and cloud products, Tellus A, 60, 273–286,
https://doi.org/10.1111/j.1600-0870.2007.00287.x, 2008.
Flamant, P., Lever, V., Martinet, P., Flament, T., Cuesta, J., Dabas, A.,
Olivier, M., and Huber, D.: ADM-Aeolus L2A Algorithm Theoretical Baseline
Document, AE-TN-IPSL-GS-001, 5.5, 89 pp., 2017.
Flesia, C. and Korb, C. L.: Theory of the double-edge molecular technique
for Doppler lidar wind measurement, Appl. Optics, 38,
https://doi.org/10.1364/AO.38.000432, 432–440, 1999.
Flesia, C., Korb, C. L., and Hirt, C.: Double-edge molecular measurement of
lidar wind profiles at 355 nm, Opt. Lett., 25, 1466–1468,
https://doi.org/10.1364/OL.25.001466, 2000.
Garnier, A. and Chanin, M. L.: Description of a Doppler Rayleigh lidar for
measuring winds in the middle atmosphere, Appl. Phys. B, 55, 35–40,
https://doi.org/10.1007/BF00348610, 1992.
Gentry, B. M., Chen, H., and Li, S. X.: Wind measurements with 355-nm
molecular Doppler lidar, Opt. Lett., 25, 1231–1233, 2000.
Herbst, J. and Vrancken, P.: Design of a monolithic Michelson
interferometer for fringe imaging in a near-field, UV, direct-detection
Doppler wind lidar, Appl. Optics, 55, 6910–6929,
https://doi.org/10.1364/AO.55.006910, 2016.
Hildebrand, J., Baumgarten, G., Fiedler, J., Hoppe, U.-P., Kaifler, B., Lübken, F.-J., and Williams, B. P.: Combined wind measurements by two different lidar instruments in the Arctic middle atmosphere, Atmos. Meas. Tech., 5, 2433–2445, https://doi.org/10.5194/amt-5-2433-2012, 2012.
Korb, C. L., Gentry, B. M., and Weng, C. Y.: Edge technique: theory and
application to the lidar measurement of atmospheric wind, Appl. Optics, 31,
4202–4213, https://doi.org/10.1364/AO.31.004202, 1992.
Korb, C. L., Gentry, B. M., Li, S. X., and Flesia, C.: Theory of the
double-edge technique for Doppler lidar wind measurement, Appl. Optics, 37,
3097–3104, https://doi.org/10.1364/AO.37.003097, 1998.
Lemmerz, C., Lux, O., Reitebuch, O., Witschas, B., and Wührer, C.:
Frequency and timing stability of an airborne injection-seeded Nd: YAG laser
system for direct-detection wind lidar, Appl. Optics, 56, 9057–9068,
https://doi.org/10.1364/AO.56.009057, 2017.
Li, Z., Lemmerz, C., Paffrath, U., Reitebuch, O., and Witschas, B.: Airborne
Doppler lidar investigation of sea surface reflectance at a 355-nm
ultraviolet wavelength, J. Atmos. Ocean. Tech., 27, 693–704,
https://doi.org/10.1175/2009JTECHA1302.1, 2010.
Liu, Z. S., Wu, D., Liu, J. T., Zhang, K. L., Chen, W. B., Song, X. Q.,
Hair, J. W., and She, C. Y.: Low-altitude atmospheric wind measurement from
the combined Mie and Rayleigh backscattering by Doppler lidar with an iodine
filter, Appl. Optics, 41, 7079–7086, https://doi.org/10.1364/AO.41.007079,
2002.
Lux, O., Lemmerz, C., Weiler, F., Marksteiner, U., Witschas, B., Rahm, S., Schäfler, A., and Reitebuch, O.: Airborne wind lidar observations over the North Atlantic in 2016 for the pre-launch validation of the satellite mission Aeolus, Atmos. Meas. Tech., 11, 3297–3322, https://doi.org/10.5194/amt-11-3297-2018, 2018.
Marksteiner, U.: Airborne wind lidar observations for the validation of the
ADM-Aeolus instrument, PhD thesis, Technische Universität München,
176 pp., 2013.
Marksteiner, U., Lemmerz, C., Lux, O., Rahm, S., Schäfler, A., Witschas,
B., and Reitebuch, O.: Calibrations and Wind Observations of an Airborne
Direct-Detection Wind LiDAR Supporting ESA's Aeolus Mission, Remote
Sens., 10, 2056, https://doi.org/10.3390/rs10122056, 2018.
McGill, M. J. and Spinhirne, J. D.: Comparison of two direct-detection
Doppler lidar techniques, Opt. Eng., 37, 2675–2686,
https://doi.org/10.1117/1.601804, 1998.
McKay, J. A.: Modeling of direct
detection Doppler wind lidar. II. The fringe imaging technique, Appl. Optics, 37, 6487–6493, https://doi.org/10.1364/AO.37.006487, 1998.
McKay, J. A.: Assessment of a multibeam Fizeau wedge interferometer for
Doppler wind lidar, Appl. Optics, 41, 1760–1767,
https://doi.org/10.1364/AO.41.001760, 2002.
McKay, J. A. and Rees, D. J.: High-performance Fabry-Perot etalon mount for
spaceflight, Opt. Eng., 39, 315–319, https://doi.org/10.1117/1.602361,
2000a.
McKay, J. A. and Rees, D.: Space-based Doppler wind lidar: modeling of edge
detection and fringe imaging Doppler analyzers, Adv. Space. Res., 26,
883–891, https://doi.org/10.1016/S0273-1177(00)00026-0, 2000b.
Pan, X., Shneider, M. N., and Miles, R. B.: Coherent Rayleigh-Brillouin
scattering in molecular gases, Phys. Rev. A, 69, 033814,
https://doi.org/10.1103/PhysRevA.69.033814 , 2004.
Paffrath, U., Lemmerz, C., Reitebuch, O., Witschas, B., Nikolaus, I., and
Freudenthaler, V.: The airborne demonstrator for the direct-detection
Doppler wind lidar ALADIN on ADM-Aeolus. Part II: Simulations and Rayleigh
Receiver Radiometric performance, J. Atmos. Ocean. Tech., 26, 2516–2530,
https://doi.org/10.1175/2009JTECHA1314.1, 2009.
Reitebuch, O.: Wind Lidar for Atmospheric Research, in: Atmospheric physics:
Background, Methods, Trends, edited by: Schumann, U., Research Topics in
Aerospace, Springer, Berlin, London, 487–507, 2012a.
Reitebuch, O.: The space-borne wind lidar mission ADM-Aeolus, in: Atmospheric
Physics – Background, Methods, Trends, edited by: Schumann, U., Research
Topics in Aerospace, Springer, Berlin, London, 815–827, 2012b.
Reitebuch, O., Lemmerz, C., Nagel, E., Paffrath, U., Durand, Y., Endemann,
M., Fabre. F., and Chaloupy, M.: The airborne demonstrator for the
direct-detection Doppler wind lidar ALADIN on ADM-Aeolus. Part I: Instrument
design and comparison to satellite instrument, J. Atmos. Ocean.
Tech., 26, 2501–2515, https://doi.org/10.1175/2009JTECHA1309.1, 2009.
Reitebuch, O., Huber, D., and Nikolaus, I.: ADM-Aeolus Algorithm Theoretical
Basis Document (ATBD) Level1B Products, AE-RPDLR-L1B-001, DLR, 4.4, 117 pp.,
2018.
Rennie, M., Tan, D., Andersson, E., Poli, P., Dabas, A., Kloe, J. D.,
Marseille, G. J., and Stoffelen, A.: Aeolus Level-2B Algorithm Theoretical Basis
Document, AE-TN-ECMWF-L2BP-0023, ECMWF, 3.0, 109 pp., 2017.
Schäfler, A., Craig, G., Wernli, H., Arbogast, P., Doyle, J. D.,
McTaggart-Cowan, R., Methven, J., Rivière, G., Ament, F., Boettcher, M.,
Bramberger, M., Cazenave, Q., Cotton, R., Crewell, S., Delanoë, J.,
Dörnbrack, A., Ewald, F., Fix, A., Gray, S. L., Grob, H., Groß, S.,
Hagen, M., Harvey, B., Hirsch, L., Jacob, M., Kölling, T., Konow, H.,
Lemmerz, C., Lux, O., Magnusson, L., Mayer, B., Mech, M., Moore, R., Pelon,
J., Quinting, J., Rahm, S., Rapp, M., Rautenhaus, M., Reitebuch, O.,
Reynolds, C. A., Sodemann, H., Spengler, T., Vaughan, G., Wendisch, M.,
Wirth, M., Witschas, B., Wolf, K., and Zinner. T.: The North Atlantic
Waveguide and Downstream Impact Experiment, B. Am. Meteorol. Soc., 99,
1607–1637, 2018.
She, C. Y., Yue, J., Yan, Z. A., Hair, J. W., Guo, J. J., Wu, S. H., and
Liu, Z. S.: Direct-detection Doppler wind measurements with a Cabannes–Mie
lidar: A. Comparison between iodine vapor filter and Fabry–Perot
interferometer methods, Appl. Optics, 46, 4434–4443,
https://doi.org/10.1364/AO.46.004434, 2007.
Souprayen, C., Garnier, A., Hertzog, A., Hauchecorne, A., and Porteneuve,
J.: Rayleigh–Mie Doppler wind lidar for atmospheric measurements. I.
Instrumental setup, validation, and first climatological results, Appl. Optics, 38, 2410–2421, https://doi.org/10.1364/AO.38.002410, 1999a.
Souprayen, C., Garnier, A., and Hertzog, A.: Rayleigh–Mie Doppler wind
lidar for atmospheric measurements. II. Mie scattering effect, theory, and
calibration, Appl. Optics, 38, 2422–2431,
https://doi.org/10.1364/AO.38.002422, 1999b.
Stoffelen, A., Pailleux, J., Källén, E., Vaughan, J. M., Isaksen,
L., Flamant, P., Wergen, W., Andersson, E., Schyberg, H., Culoma, A.,
Meynart, R., and Ingmannt, P.: The atmospheric dynamics mission for global
wind field measurement, B. Am. Meteorol. Soc., 86, 73–88, https://doi.org/10.1175/BAMS-86-1-73, 2005.
Sun, X. J., Zhang, R. W., Marseille, G. J., Stoffelen, A., Donovan, D., Liu, L., and Zhao, J.: The performance of Aeolus in heterogeneous atmospheric conditions using high-resolution radiosonde data, Atmos. Meas. Tech., 7, 2695–2717, https://doi.org/10.5194/amt-7-2695-2014, 2014.
Tan, D. G., Andersson, E., Kloe, J. D., Marseille, G. J., Stoffelen, A.,
Poli, P., Denneulin, M. L., Dabas, A., Huber, D., Reitebuch, O., Flamant,
P., Le Rille, O., and Nett, H.: The ADM-Aeolus wind retrieval
algorithms, Tellus A, 60, 191–205,
https://doi.org/10.1111/j.1600-0870.2007.00285.x, 2008.
Tenti, G., Boley, C.
D., and Desai, R. C.: On the kinetic model description of
Rayleigh–Brillouin scattering from molecular gases, Can. J. Phys., 52,
285–290, https://doi.org/10.1139/p74-041, 1974.
Thuillier, G. and Hersé, M.: Thermally stable field compensated
Michelson interferometer for measurement of temperature and wind of the
planetary atmospheres, Appl. Optics, 30, 1210–1220,
https://doi.org/10.1364/AO.30.001210, 1991.
Tucker, S. C., Weimer, C. S., Baidar, S., and Hardesty, R. M.: The Optical
Autocovariance Wind Lidar. Part I: OAWL Instrument Development and
Demonstration, J. Atmos. Ocean. Tech., 35, 2079–2097,
https://doi.org/10.1175/JTECH-D-18-0024.1, 2018.
Wang, Z., Liu, Z., Liu, L., Wu, S., Liu, B., Li, Z., and Chu, X.:
Iodine-filter-based mobile Doppler lidar to make continuous and
full-azimuth-scanned wind measurements: data acquisition and analysis
system, data retrieval methods, and error analysis, Appl. Optics, 49,
6960–6978, https://doi.org/10.1364/AO.49.006960, 2010.
Weiler, F.: Bias correction using ground echoes for the airborne
demonstrator of the wind lidar on the ADM-Aeolus mission, Master's thesis,
University of Innsbruck, 96 pp., available
at: https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-7104, last access: 11 October 2017.
Weissmann, M. and Cardinali, C.: Impact of airborne Doppler lidar
observations on ECMWF forecasts, Q. J. Roy. Meteor. Soc., 133, 107–116,
https://doi.org/10.1002/qj.16, 2007.
Witschas, B.: Analytical model for Rayleigh–Brillouin line shapes in
air, Appl. Optics, 50, 267–270,https://doi.org/10.1364/AO.50.000267, 2011a.
Witschas, B.: Analytical model for Rayleigh–Brillouin line shapes in air:
errata, Appl. Optics, 50, 5758–5758, https://doi.org/10.1364/AO.50.005758,
2011b.
Witschas, B.: Experiments on spontaneous Rayleigh-Brillouin scattering in
air, PhD thesis, Friedrich-Schiller-Universität, Jena, 112 pp.,
available at: http://elib.dlr.de/98547/ (last access: 8 March 2017), 2011c.
Witschas, B., Lemmerz, C., and Reitebuch, O.: Horizontal lidar measurements
for the proof of spontaneous Rayleigh–Brillouin scattering in the
atmosphere, Appl. Optics, 51, 6207–6219, https://doi.org/10.1364/AO.51.006207,
2012.
Witschas, B., Lemmerz, C., and Reitebuch, O.: Daytime measurements of
atmospheric temperature profiles (2–15 km) by lidar utilizing
Rayleigh–Brillouin scattering, Opt. Lett., 39,
1972–1975,https://doi.org/10.1364/OL.39.001972, 2014.
Xia, H., Dou, X., Sun, D., Shu, Z., Xue, X., Han, Y., Hu, D., Han, Y., and
Cheng, T.: Mid-altitude wind measurements with mobile Rayleigh Doppler lidar
incorporating system-level optical frequency control method, Opt.
Express, 20, 15286–15300, https://doi.org/10.1364/OE.20.015286, 2012.
Žagar, N., Stoffelen, A., Marseille, G. J., Accadia, C., and
Schlüssel, P.: Impact assessment of simulated Doppler wind lidars with a
multivariate variational assimilation in the tropics, Mon. Weather
Rev., 136, 2443–2460, https://doi.org/10.1175/2007MWR2335.1, 2008.
Short summary
An airborne prototype called A2D was developed for validating the Aeolus measurement principle based on realistic atmospheric signals. However, the atmospheric and instrumental variability currently limit the reliability and repeatability of the measured Rayleigh response calibration (MRRC), which is a prerequisite for accurate wind retrieval. A procedure for a simulated Rayleigh response calibration (SRRC) is developed and presented to resolve these limitations of the A2D Rayleigh channel MRRC.
An airborne prototype called A2D was developed for validating the Aeolus measurement principle...
