Articles | Volume 8, issue 7
https://doi.org/10.5194/amt-8-2885-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-2885-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Jul 2015
Research article |
| 17 Jul 2015
Application of the locality principle to radio occultation studies of the Earth's atmosphere and ionosphere
A. G. Pavelyev
CORRESPONDING AUTHOR
Kotelnikov Institute of Radio Engineering and Electronics of the Russian Academy of Sciences, Fryazino, Moscow region, Russia
Center for Space and Remote Sensing Research, National Central University, Jhong-Li, 320, Taiwan
S. S. Matyugov
Kotelnikov Institute of Radio Engineering and Electronics of the Russian Academy of Sciences, Fryazino, Moscow region, Russia
A. A. Pavelyev
Kotelnikov Institute of Radio Engineering and Electronics of the Russian Academy of Sciences, Fryazino, Moscow region, Russia
V. N. Gubenko
Kotelnikov Institute of Radio Engineering and Electronics of the Russian Academy of Sciences, Fryazino, Moscow region, Russia
SPACE Research Centre/RMIT University/Australia (03) 99253272, Melbourne, Australia
Y. Kuleshov
National Climate Centre, Bureau of Meteorology, Melbourne, Australia
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Peng Sun, Suqin Wu, Kefei Zhang, Moufeng Wan, and Ren Wang
Atmos. Meas. Tech., 14, 2529–2542, https://doi.org/10.5194/amt-14-2529-2021, https://doi.org/10.5194/amt-14-2529-2021, 2021
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In GPS or Global navigation satellite systems (GNSS) meteorology, precipitable water vapor (PWV) at a station is obtained from a conversion of the GNSS signal zenith wet delay (ZWD) using a conversion factor which is a function of weighted mean temperature (Tm) over the site. We developed a new global grid-based empirical Tm model using ERA5 reanalysis data. The model-predicted Tm value has significance for applications needing real-time or near real-time PWV converted from GNSS signals.
Saginela Ravindra Babu and Yuei-An Liou
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-513, https://doi.org/10.5194/acp-2020-513, 2020
Revised manuscript not accepted
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This is the first paper to utilize the high-resolution temperature measurements from the recently launched COSMIC-2 radio occultation data to delineate the detailed vertical structure and day-to-day temperature variability in response to the eruption of the Taal volcano in January 2020.
Qingzhi Zhao, Kefei Zhang, and Wanqiang Yao
Ann. Geophys., 37, 15–24, https://doi.org/10.5194/angeo-37-15-2019, https://doi.org/10.5194/angeo-37-15-2019, 2019
Nan Ding, Shubi Zhang, Suqin Wu, Xiaoming Wang, Allison Kealy, and Kefei Zhang
Atmos. Meas. Tech., 11, 3511–3522, https://doi.org/10.5194/amt-11-3511-2018, https://doi.org/10.5194/amt-11-3511-2018, 2018
Congliang Liu, Gottfried Kirchengast, Yueqiang Sun, Kefei Zhang, Robert Norman, Marc Schwaerz, Weihua Bai, Qifei Du, and Ying Li
Atmos. Meas. Tech., 11, 2427–2440, https://doi.org/10.5194/amt-11-2427-2018, https://doi.org/10.5194/amt-11-2427-2018, 2018
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In this study, we focused on investigating the causes of the higher-order residual ionospheric error (RIE) in the GNSS RO events, by employing detailed along-ray-path analyses of atmospheric and ionospheric refractivities, impact parameter changes, and bending angles and RIEs under asymmetric and symmetric ionospheric structures. We found that the main causes of the high RIEs are a combination of physics-based effects, where asymmetric ionospheric conditions play the primary role.
Xiaoming Wang, Kefei Zhang, Suqin Wu, Changyong He, Yingyan Cheng, and Xingxing Li
Atmos. Meas. Tech., 10, 2807–2820, https://doi.org/10.5194/amt-10-2807-2017, https://doi.org/10.5194/amt-10-2807-2017, 2017
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Accurate knowledge of water vapor (WV) is vital for global climate studies. The Global Navigation Satellite System (GNSS) has been used as an emerging tool for sensing integrated WV (IWV). In the determination of PWV, surface pressure is required. However, few GNSS stations were installed with meteorological sensors back in the 1990s. Our research indicates that the ERA-Interim-derived pressure has the potential to be used to obtain high-accuracy IWV on a global scale for climate studies.
Changyong He, Suqin Wu, Xiaoming Wang, Andong Hu, Qianxin Wang, and Kefei Zhang
Atmos. Meas. Tech., 10, 2045–2060, https://doi.org/10.5194/amt-10-2045-2017, https://doi.org/10.5194/amt-10-2045-2017, 2017
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Atmospheric weighted mean temperature (Tm) is a key parameter in precipitable water vapour (PWV) detection using GPS technique. This paper develops a new voxel-based empirical Tm model, which takes into consideration the lapse rate and diurnal variations of Tm. The theoretical RMS error of PWV resulting from the new model is generally less than 0.8 m over the globe. Therefore, it can be used as an alternative Tm determination method in the real-time GPS-based water vapour detection system.
Fabrice Chane Ming, Damien Vignelles, Fabrice Jegou, Gwenael Berthet, Jean-Baptiste Renard, François Gheusi, and Yuriy Kuleshov
Atmos. Chem. Phys., 16, 8023–8042, https://doi.org/10.5194/acp-16-8023-2016, https://doi.org/10.5194/acp-16-8023-2016, 2016
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Coupled balloon-borne observations of Light Optical Aerosol Counter (LOAC), M10 meteorological GPS sondes, ozonesondes, and GPS radio occultation data are examined to identify gravity-wave (GW)-induced fluctuations on tracer gases and on the vertical distribution of stratospheric aerosol concentrations during the 2013 ChArMEx campaign. Observed mesoscale GWs induce a strong modulation of the amplitude of tracer gases and the stratospheric aerosol background.
Y. Li, G. Kirchengast, B. Scherllin-Pirscher, R. Norman, Y. B. Yuan, J. Fritzer, M. Schwaerz, and K. Zhang
Atmos. Meas. Tech., 8, 3447–3465, https://doi.org/10.5194/amt-8-3447-2015, https://doi.org/10.5194/amt-8-3447-2015, 2015
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We introduce a new dynamic statistical optimization algorithm to initialize ionosphere-corrected bending angles of Global Navigation Satellite System-based radio occultation measurements. The new algorithm is evaluated against the OPSv5.6 algorithm developed by the Wegener Center using both simulated and real observed data. It is found that the algorithm can significantly reduce the random errors of optimized bending angles. The retrieved refractivity and temperature profiles are also benefited.
C. L. Liu, G. Kirchengast, K. Zhang, R. Norman, Y. Li, S. C. Zhang, J. Fritzer, M. Schwaerz, S. Q. Wu, and Z. X. Tan
Atmos. Meas. Tech., 8, 2999–3019, https://doi.org/10.5194/amt-8-2999-2015, https://doi.org/10.5194/amt-8-2999-2015, 2015
W. Rohm, K. Zhang, and J. Bosy
Atmos. Meas. Tech., 7, 1475–1486, https://doi.org/10.5194/amt-7-1475-2014, https://doi.org/10.5194/amt-7-1475-2014, 2014
F. Chane Ming, C. Ibrahim, C. Barthe, S. Jolivet, P. Keckhut, Y.-A. Liou, and Y. Kuleshov
Atmos. Chem. Phys., 14, 641–658, https://doi.org/10.5194/acp-14-641-2014, https://doi.org/10.5194/acp-14-641-2014, 2014
Related subject area
Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
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Doppler spectra from DWD's operational C-band radar birdbath scan: sampling strategy, spectral postprocessing, and multimodal analysis for the retrieval of precipitation processes
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Mathieu Ratynski, Sergey Khaykin, Alain Hauchecorne, Robin Wing, Jean-Pierre Cammas, Yann Hello, and Philippe Keckhut
Atmos. Meas. Tech., 16, 997–1016, https://doi.org/10.5194/amt-16-997-2023, https://doi.org/10.5194/amt-16-997-2023, 2023
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Aeolus is the first spaceborne wind lidar providing global wind measurements since 2018. This study offers a comprehensive analysis of Aeolus instrument performance, using ground-based wind lidars and meteorological radiosondes, at tropical and mid-latitudes sites. The analysis allows assessing the long-term evolution of the satellite's performance for more than 3 years. The results will help further elaborate the understanding of the error sources and the behavior of the Doppler wind lidar.
Anne-Claire Billault-Roux, Gionata Ghiggi, Louis Jaffeux, Audrey Martini, Nicolas Viltard, and Alexis Berne
Atmos. Meas. Tech., 16, 911–940, https://doi.org/10.5194/amt-16-911-2023, https://doi.org/10.5194/amt-16-911-2023, 2023
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Better understanding and modeling snowfall properties and processes is relevant to many fields, ranging from weather forecasting to aircraft safety. Meteorological radars can be used to gain insights into the microphysics of snowfall. In this work, we propose a new method to retrieve snowfall properties from measurements of radars with different frequencies. It relies on an original deep-learning framework, which incorporates knowledge of the underlying physics, i.e., electromagnetic scattering.
Chia-Lun Tsai, Kwonil Kim, Yu-Chieng Liou, and GyuWon Lee
Atmos. Meas. Tech., 16, 845–869, https://doi.org/10.5194/amt-16-845-2023, https://doi.org/10.5194/amt-16-845-2023, 2023
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Since the winds in clear-air conditions usually play an important role in the initiation of various weather systems and phenomena, the modified Wind Synthesis System using Doppler Measurements (WISSDOM) synthesis scheme was developed to derive high-quality and high-spatial-resolution 3D winds under clear-air conditions. The performance and accuracy of derived 3D winds from this modified scheme were evaluated with an extreme strong wind event over complex terrain in Pyeongchang, South Korea.
Simone Kotthaus, Juan Antonio Bravo-Aranda, Martine Collaud Coen, Juan Luis Guerrero-Rascado, Maria João Costa, Domenico Cimini, Ewan J. O'Connor, Maxime Hervo, Lucas Alados-Arboledas, María Jiménez-Portaz, Lucia Mona, Dominique Ruffieux, Anthony Illingworth, and Martial Haeffelin
Atmos. Meas. Tech., 16, 433–479, https://doi.org/10.5194/amt-16-433-2023, https://doi.org/10.5194/amt-16-433-2023, 2023
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Profile observations of the atmospheric boundary layer now allow for layer heights and characteristics to be derived at high temporal and vertical resolution. With novel high-density ground-based remote-sensing measurement networks emerging, horizontal information content is also increasing. This review summarises the capabilities and limitations of various sensors and retrieval algorithms which need to be considered during the harmonisation of data products for high-impact applications.
Michael Frech, Cornelius Hald, Maximilian Schaper, Bertram Lange, and Benjamin Rohrdantz
Atmos. Meas. Tech., 16, 295–309, https://doi.org/10.5194/amt-16-295-2023, https://doi.org/10.5194/amt-16-295-2023, 2023
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Weather radar data are the backbone of a lot of meteorological products. In order to obtain a better low-level coverage with radar data, additional systems have to be included. The frequency range in which radars are allowed to operate is limited. A potential radar-to-radar interference has to be avoided. The paper derives guidelines on how additional radars can be included into a C-band weather radar network and how interferences can be avoided.
Yeeun Lee, Myoung-Hwan Ahn, Mina Kang, and Mijin Eo
Atmos. Meas. Tech., 16, 153–168, https://doi.org/10.5194/amt-16-153-2023, https://doi.org/10.5194/amt-16-153-2023, 2023
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This study aims to verify that a partly defective hyperspectral measurement can be successfully reproduced with concise machine learning models coupled with principal component analysis. Evaluation of the approach is performed with radiances and retrieval results of ozone and cloud properties. Considering that GEMS is the first geostationary UV–VIS hyperspectral spectrometer, we expect our findings can be introduced further to similar geostationary environmental instruments to be launched soon.
Mathias Gergely, Maximilian Schaper, Matthias Toussaint, and Michael Frech
Atmos. Meas. Tech., 15, 7315–7335, https://doi.org/10.5194/amt-15-7315-2022, https://doi.org/10.5194/amt-15-7315-2022, 2022
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This study presents the new vertically pointing birdbath scan of the German C-band radar network, which provides high-resolution profiles of precipitating clouds above all DWD weather radars since the spring of 2021. Our AI-based postprocessing method for filtering and analyzing the recorded radar data offers a unique quantitative view into a wide range of precipitation events from snowfall over stratiform rain to intense frontal showers and will be used to complement DWD's operational services.
Kenneth A. Brown and Thomas G. Herges
Atmos. Meas. Tech., 15, 7211–7234, https://doi.org/10.5194/amt-15-7211-2022, https://doi.org/10.5194/amt-15-7211-2022, 2022
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The character of the airflow around and within wind farms has a significant impact on the energy output and longevity of the wind turbines in the farm. For both research and control purposes, accurate measurements of the wind speed are required, and these are often accomplished with remote sensing devices. This article pertains to a field experiment of a lidar mounted to a wind turbine and demonstrates three data post-processing techniques with efficacy at extracting useful airflow information.
Xavier Calbet, Cintia Carbajal Henken, Sergio DeSouza-Machado, Bomin Sun, and Tony Reale
Atmos. Meas. Tech., 15, 7105–7118, https://doi.org/10.5194/amt-15-7105-2022, https://doi.org/10.5194/amt-15-7105-2022, 2022
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Water vapor concentration in the atmosphere at small scales (< 6 km) is considered. The measurements show Gaussian random field behavior following Kolmogorov's theory of turbulence two-thirds law. These properties can be useful when estimating the water vapor variability within a given observed satellite scene or when different water vapor measurements have to be merged consistently.
Qiuyu Chen, Konstantin Ntokas, Björn Linder, Lukas Krasauskas, Manfred Ern, Peter Preusse, Jörn Ungermann, Erich Becker, Martin Kaufmann, and Martin Riese
Atmos. Meas. Tech., 15, 7071–7103, https://doi.org/10.5194/amt-15-7071-2022, https://doi.org/10.5194/amt-15-7071-2022, 2022
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Observations of phase speed and direction spectra as well as zonal mean net gravity wave momentum flux are required to understand how gravity waves reach the mesosphere–lower thermosphere and how they there interact with background flow. To this end we propose flying two CubeSats, each deploying a spatial heterodyne spectrometer for limb observation of the airglow. End-to-end simulations demonstrate that individual gravity waves are retrieved faithfully for the expected instrument performance.
Simon Pfreundschuh, Ingrid Ingemarsson, Patrick Eriksson, Daniel A. Vila, and Alan J. P. Calheiros
Atmos. Meas. Tech., 15, 6907–6933, https://doi.org/10.5194/amt-15-6907-2022, https://doi.org/10.5194/amt-15-6907-2022, 2022
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We used methods from the field of artificial intelligence to train an algorithm to estimate rain from satellite observations. In contrast to other methods, our algorithm not only estimates rain, but also the uncertainty of the estimate. Using independent measurements from rain gauges, we show that our method performs better than currently available methods and that the provided uncertainty estimates are reliable. Our method makes satellite-based measurements of rain more accurate and reliable.
Lars Norin
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-299, https://doi.org/10.5194/amt-2022-299, 2022
Revised manuscript accepted for AMT
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The atmosphere can cause radar beams to bend more or less towards the ground. When the atmosphere differs from standard atmospheric conditions the propagation is called anomalous. Radars affected by anomalous propagation can receive ground clutter far beyond the radar horizon. In this work 4.5 years of data from five operational Swedish weather radars are presented. Analyses of the data reveal a strong seasonal cycle and weaker diurnal cycle in ground clutter from across nearby waters.
Maximilian Schaper, Michael Frech, David Michaelis, Cornelius Hald, and Benjamin Rohrdantz
Atmos. Meas. Tech., 15, 6625–6642, https://doi.org/10.5194/amt-15-6625-2022, https://doi.org/10.5194/amt-15-6625-2022, 2022
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C-band weather radar data are commonly compromised by radio frequency interference (RFI) from external sources. It is not possible to separate a superimposed interference signal from the radar data. Therefore, the best course of action is to shut down RFI sources as quickly as possible. An automated RFI detection algorithm has been developed. Since its implementation, persistent RFI sources are eliminated much more quickly, while the number of short-lived RFI sources keeps steadily increasing.
Oliver Lux, Benjamin Witschas, Alexander Geiß, Christian Lemmerz, Fabian Weiler, Uwe Marksteiner, Stephan Rahm, Andreas Schäfler, and Oliver Reitebuch
Atmos. Meas. Tech., 15, 6467–6488, https://doi.org/10.5194/amt-15-6467-2022, https://doi.org/10.5194/amt-15-6467-2022, 2022
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We discuss the influence of different quality control schemes on the results of Aeolus wind product validation and present statistical tools for ensuring consistency and comparability among diverse validation studies with regard to the specific error characteristics of the Rayleigh-clear and Mie-cloudy winds. The developed methods are applied for the validation of Aeolus winds against an ECMWF model background and airborne wind lidar data from the Joint Aeolus Tropical Atlantic Campaign.
Alex T. Chartier, Thomas R. Hanley, and Daniel J. Emmons
Atmos. Meas. Tech., 15, 6387–6393, https://doi.org/10.5194/amt-15-6387-2022, https://doi.org/10.5194/amt-15-6387-2022, 2022
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This is a study of anomalous long-distance (>1000 km) radio propagation that was identified in United States Coast Guard monitors of automatic identification system (AIS) shipping transmissions at 162 MHz. Our results indicate this long-distance propagation is caused by dense sporadic E layers in the daytime ionosphere, which were observed by nearby ionosondes at the same time. This finding is surprising because it indicates these sporadic E layers may be far more dense than previously thought.
Johannes K. Nielsen, Hans Gleisner, Stig Syndergaard, and Kent B. Lauritsen
Atmos. Meas. Tech., 15, 6243–6256, https://doi.org/10.5194/amt-15-6243-2022, https://doi.org/10.5194/amt-15-6243-2022, 2022
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This paper provides a new way to estimate uncertainties and error correlations. The method is a generalization of a known method called the
three-cornered hat: Instead of calculating uncertainties from assumed knowledge about the observation method, uncertainties and error correlations are estimated statistically from tree independent observation series, measuring the same variable. The results are useful for future estimation of atmospheric-specific humidity from the bending of radio waves.
Fraser King, George Duffy, Lisa Milani, Christopher G. Fletcher, Claire Pettersen, and Kerstin Ebell
Atmos. Meas. Tech., 15, 6035–6050, https://doi.org/10.5194/amt-15-6035-2022, https://doi.org/10.5194/amt-15-6035-2022, 2022
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Under warmer global temperatures, precipitation patterns are expected to shift substantially, with critical impact on the global water-energy budget. In this work, we develop a deep learning model for predicting snow and rain accumulation based on surface radar observations of the lower atmosphere. Our model demonstrates improved skill over traditional methods and provides new insights into the regions of the atmosphere that provide the most significant contributions to high model accuracy.
Matthias Aichinger-Rosenberger, Elmar Brockmann, Laura Crocetti, Benedikt Soja, and Gregor Moeller
Atmos. Meas. Tech., 15, 5821–5839, https://doi.org/10.5194/amt-15-5821-2022, https://doi.org/10.5194/amt-15-5821-2022, 2022
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This study develops an innovative approach for the detection and prediction of foehn winds. The approach uses products generated from GNSS (Global Navigation Satellite Systems) in combination with machine learning-based classification algorithms to detect and predict foehn winds at Altdorf, Switzerland. Results are encouraging and comparable to similar studies using meteorological data, which might qualify the method as an additional tool for short-term foehn forecasting in the future.
Gunter Stober, Alan Liu, Alexander Kozlovsky, Zishun Qiao, Ales Kuchar, Christoph Jacobi, Chris Meek, Diego Janches, Guiping Liu, Masaki Tsutsumi, Njål Gulbrandsen, Satonori Nozawa, Mark Lester, Evgenia Belova, Johan Kero, and Nicholas Mitchell
Atmos. Meas. Tech., 15, 5769–5792, https://doi.org/10.5194/amt-15-5769-2022, https://doi.org/10.5194/amt-15-5769-2022, 2022
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Precise and accurate measurements of vertical winds at the mesosphere and lower thermosphere are rare. Although meteor radars have been used for decades to observe horizontal winds, their ability to derive reliable vertical wind measurements was always questioned. In this article, we provide mathematical concepts to retrieve mathematically and physically consistent solutions, which are compared to the state-of-the-art non-hydrostatic model UA-ICON.
Benjamin Schumacher, Marwan Katurji, Jiawei Zhang, Peyman Zawar-Reza, Benjamin Adams, and Matthias Zeeman
Atmos. Meas. Tech., 15, 5681–5700, https://doi.org/10.5194/amt-15-5681-2022, https://doi.org/10.5194/amt-15-5681-2022, 2022
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This investigation presents adaptive thermal image velocimetry (A-TIV), a newly developed algorithm to spatially measure near-surface atmospheric velocities using an infrared camera mounted on uncrewed aerial vehicles. A validation and accuracy assessment of the retrieved velocity fields shows the successful application of the algorithm over short-cut grass and turf surfaces in dry conditions. This provides new opportunities for atmospheric scientists to study surface–atmosphere interactions.
Laura M. Tomkins, Sandra E. Yuter, Matthew A. Miller, and Luke R. Allen
Atmos. Meas. Tech., 15, 5515–5525, https://doi.org/10.5194/amt-15-5515-2022, https://doi.org/10.5194/amt-15-5515-2022, 2022
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Locally higher radar reflectivity values in winter storms can mean more snowfall or a transition from snow to mixtures of snow, partially melted snow, and/or rain. We use the correlation coefficient to de-emphasize regions of mixed precipitation. Visual muting is valuable for analyzing and monitoring evolving weather conditions during winter storm events.
Willem J. Marais and Matthew Hayman
Atmos. Meas. Tech., 15, 5159–5180, https://doi.org/10.5194/amt-15-5159-2022, https://doi.org/10.5194/amt-15-5159-2022, 2022
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For atmospheric science and weather prediction, it is important to make water vapor measurements in real time. A low-cost lidar instrument has been developed by Montana State University and the National Center for Atmospheric Research. We developed an advanced signal-processing method to extend the scientific capability of the lidar instrument. With the new method we show that the maximum altitude at which the MPD can make water vapor measurements can be extended up to 8 km.
Simon Pfreundschuh, Paula J. Brown, Christian D. Kummerow, Patrick Eriksson, and Teodor Norrestad
Atmos. Meas. Tech., 15, 5033–5060, https://doi.org/10.5194/amt-15-5033-2022, https://doi.org/10.5194/amt-15-5033-2022, 2022
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The Global Precipitation Measurement mission is an international satellite mission providing regular global rain measurements. We present two newly developed machine-learning-based implementations of one of the algorithms responsible for turning the satellite observations into rain measurements. We show that replacing the current algorithm with a neural network improves the accuracy of the measurements. A neural network that also makes use of spatial information unlocks further improvements.
Christos Gatidis, Marc Schleiss, and Christine Unal
Atmos. Meas. Tech., 15, 4951–4969, https://doi.org/10.5194/amt-15-4951-2022, https://doi.org/10.5194/amt-15-4951-2022, 2022
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Knowledge of the raindrop size distribution (DSD) is crucial for understanding rainfall microphysics and quantifying uncertainty in quantitative precipitation estimates. In this study a general overview of the DSD retrieval approach from a polarimetric radar is discussed, highlighting sensitivity to potential sources of errors, either directly linked to the radar measurements or indirectly through the critical modeling assumptions behind the method such as the shape–size (μ–Λ) relationship.
Stephen R. Kaeppler, Ethan S. Miller, Daniel Cole, and Teresa Updyke
Atmos. Meas. Tech., 15, 4531–4545, https://doi.org/10.5194/amt-15-4531-2022, https://doi.org/10.5194/amt-15-4531-2022, 2022
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This investigation demonstrates how useful ionospheric parameters can be extracted from existing high-frequency radars that are used for oceanographic research. The methodology presented can be used by scientists and radio amateurs to understand ionospheric dynamics.
Hui Liu, Kevin Garrett, Kayo Ide, Ross N. Hoffman, and Katherine E. Lukens
Atmos. Meas. Tech., 15, 3925–3940, https://doi.org/10.5194/amt-15-3925-2022, https://doi.org/10.5194/amt-15-3925-2022, 2022
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A total least squares (TLS) regression is used to optimally estimate linear speed-dependent biases between Aeolus Level-2B winds and short-term (6 h) forecasts of NOAA’s FV3GFS. The winds for 1–7 September 2019 are examined. Clear speed-dependent biases for both Mie and Rayleigh winds are found, particularly in the tropics and Southern Hemisphere. Use of the TLS correction improves the forecast of the 26–28 November 2019 winter storm over the USA.
Snizhana Ross, Arttu Arjas, Ilkka I. Virtanen, Mikko J. Sillanpää, Lassi Roininen, and Andreas Hauptmann
Atmos. Meas. Tech., 15, 3843–3857, https://doi.org/10.5194/amt-15-3843-2022, https://doi.org/10.5194/amt-15-3843-2022, 2022
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Radar measurements of thermal fluctuations in the Earth's ionosphere produce weak signals, and tuning to specific altitudes results in suboptimal resolution for other regions, making an accurate analysis of these changes difficult. A novel approach to improve the resolution and remove measurement noise is considered. The method can capture variable characteristics, making it ideal for the study of a large range of data. Synthetically generated examples and two measured datasets were considered.
Benoît Tournadre, Benoît Gschwind, Yves-Marie Saint-Drenan, Xuemei Chen, Rodrigo Amaro E Silva, and Philippe Blanc
Atmos. Meas. Tech., 15, 3683–3704, https://doi.org/10.5194/amt-15-3683-2022, https://doi.org/10.5194/amt-15-3683-2022, 2022
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Solar radiation received by the Earth's surface is valuable information for various fields like the photovoltaic industry or climate research. Pictures taken from satellites can be used to estimate the solar radiation from cloud reflectivity. Two issues for a good estimation are different instrumentations and orbits. We modify a widely used method that is today only used on geostationary satellites, so it can be applied on instruments on different orbits and with different sensitivities.
Alfonso Ferrone, Anne-Claire Billault-Roux, and Alexis Berne
Atmos. Meas. Tech., 15, 3569–3592, https://doi.org/10.5194/amt-15-3569-2022, https://doi.org/10.5194/amt-15-3569-2022, 2022
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The Micro Rain Radar PRO (MRR-PRO) is a meteorological radar, with a relevant set of features for deployment in remote locations. We developed an algorithm, named ERUO, for the processing of its measurements of snowfall. The algorithm addresses typical issues of the raw spectral data, such as interference lines, but also improves the quality and sensitivity of the radar variables. ERUO has been evaluated over four different datasets collected in Antarctica and in the Swiss Jura.
Isabell Krisch, Neil P. Hindley, Oliver Reitebuch, and Corwin J. Wright
Atmos. Meas. Tech., 15, 3465–3479, https://doi.org/10.5194/amt-15-3465-2022, https://doi.org/10.5194/amt-15-3465-2022, 2022
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The Aeolus satellite measures global height resolved profiles of wind along a certain line-of-sight. However, for atmospheric dynamics research, wind measurements along the three cardinal axes are most useful. This paper presents methods to convert the measurements into zonal and meridional wind components. By combining the measurements during ascending and descending orbits, we achieve good derivation of zonal wind (equatorward of 80° latitude) and meridional wind (poleward of 70° latitude).
Francisco J. Pérez-Invernón, Heidi Huntrieser, Thilo Erbertseder, Diego Loyola, Pieter Valks, Song Liu, Dale J. Allen, Kenneth E. Pickering, Eric J. Bucsela, Patrick Jöckel, Jos van Geffen, Henk Eskes, Sergio Soler, Francisco J. Gordillo-Vázquez, and Jeff Lapierre
Atmos. Meas. Tech., 15, 3329–3351, https://doi.org/10.5194/amt-15-3329-2022, https://doi.org/10.5194/amt-15-3329-2022, 2022
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Lightning, one of the major sources of nitrogen oxides in the atmosphere, contributes to the tropospheric concentration of ozone and to the oxidizing capacity of the atmosphere. In this work, we contribute to improving the estimation of lightning-produced nitrogen oxides in the Ebro Valley and the Pyrenees by using two different TROPOMI products and comparing the results.
Guy Delrieu, Anil Kumar Khanal, Frédéric Cazenave, and Brice Boudevillain
Atmos. Meas. Tech., 15, 3297–3314, https://doi.org/10.5194/amt-15-3297-2022, https://doi.org/10.5194/amt-15-3297-2022, 2022
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The RadAlp experiment aims at improving quantitative precipitation estimation in the Alps thanks to X-band polarimetric radars and in situ measurements deployed in Grenoble, France. We revisit the physics of propagation and attenuation of microwaves in rain. We perform a generalized sensitivity analysis in order to establish useful parameterization for attenuation corrections. Originality lies in the use of otherwise undesired mountain returns for constraining the considered physical model.
Julian Steinheuer, Carola Detring, Frank Beyrich, Ulrich Löhnert, Petra Friederichs, and Stephanie Fiedler
Atmos. Meas. Tech., 15, 3243–3260, https://doi.org/10.5194/amt-15-3243-2022, https://doi.org/10.5194/amt-15-3243-2022, 2022
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Doppler wind lidars (DWLs) allow the determination of wind profiles with high vertical resolution and thus provide an alternative to meteorological towers. We address the question of whether wind gusts can be derived since they are short-lived phenomena. Therefore, we compare different DWL configurations and develop a new method applicable to all of them. A fast continuous scanning mode that completes a full observation cycle within 3.4 s is found to be the best-performing configuration.
Sebastian Becker, André Ehrlich, Evelyn Jäkel, Tim Carlsen, Michael Schäfer, and Manfred Wendisch
Atmos. Meas. Tech., 15, 2939–2953, https://doi.org/10.5194/amt-15-2939-2022, https://doi.org/10.5194/amt-15-2939-2022, 2022
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Airborne radiation measurements are used to characterize the solar directional reflection of a mixture of Arctic sea ice and open-ocean surfaces in the transition zone between both surface types. The mixture reveals reflection properties of both surface types. It is shown that the directional reflection of the mixture can be reconstructed from the directional reflection of the individual surfaces, accounting for the special conditions present in the transition zone.
You Zhao, Chao Liu, Di Di, Ziqiang Ma, and Shihao Tang
Atmos. Meas. Tech., 15, 2791–2805, https://doi.org/10.5194/amt-15-2791-2022, https://doi.org/10.5194/amt-15-2791-2022, 2022
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A typhoon is a high-impact atmospheric phenomenon that causes most significant socioeconomic damage, and its precipitation observation is always needed for typhoon characteristics and disaster prevention. This study developed a typhoon precipitation fusion method to combine observations from satellite radiometers, rain gauges and reanalysis to provide much improved typhoon precipitation datasets.
Witali Krochin, Francisco Navas-Guzmán, David Kuhl, Axel Murk, and Gunter Stober
Atmos. Meas. Tech., 15, 2231–2249, https://doi.org/10.5194/amt-15-2231-2022, https://doi.org/10.5194/amt-15-2231-2022, 2022
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This study leverages atmospheric temperature measurements performed with a ground-based radiometer making use of data that was collected during a 4-year observational campaign applying a new retrieval algorithm that improves the maximal altitude range from 45 to 55 km. The measurements are validated against two independent data sets, MERRA2 reanalysis data and the meteorological analysis of NAVGEM-HA.
Lu Yao, Yi Liu, Dongxu Yang, Zhaonan Cai, Jing Wang, Chao Lin, Naimeng Lu, Daren Lyu, Longfei Tian, Maohua Wang, Zengshan Yin, Yuquan Zheng, and Sisi Wang
Atmos. Meas. Tech., 15, 2125–2137, https://doi.org/10.5194/amt-15-2125-2022, https://doi.org/10.5194/amt-15-2125-2022, 2022
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A physics-based SIF retrieval algorithm, IAPCAS/SIF, is introduced and applied to OCO-2 and TanSat measurements. The strong linear relationship between OCO-2 SIF retrieved by IAPCAS/SIF and the official product indicates the algorithm's reliability. The good consistency in the spatiotemporal patterns and magnitude of the OCO-2 and TanSat SIF products suggests that the combinative usage of multi-satellite products has potential and that such work would contribute to further research.
Biao Tong, Xiangfei Sun, Jiyang Fu, Yuncheng He, and Pakwai Chan
Atmos. Meas. Tech., 15, 1829–1848, https://doi.org/10.5194/amt-15-1829-2022, https://doi.org/10.5194/amt-15-1829-2022, 2022
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In recent years, there has been numerous research on tropical cyclone (TC) observation based on satellite cloud images (SCIs), but most methods are limited by low efficiency and subjectivity. To overcome subjectivity and improve efficiency of traditional methods, this paper uses deep learning technology to do further research on fingerprint identification of TCs. Results provide an automatic and objective method to distinguish TCs from SCIs and are convenient for subsequent research.
Marie Bouillon, Sarah Safieddine, Simon Whitburn, Lieven Clarisse, Filipe Aires, Victor Pellet, Olivier Lezeaux, Noëlle A. Scott, Marie Doutriaux-Boucher, and Cathy Clerbaux
Atmos. Meas. Tech., 15, 1779–1793, https://doi.org/10.5194/amt-15-1779-2022, https://doi.org/10.5194/amt-15-1779-2022, 2022
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The IASI instruments have been observing Earth since 2007. We use a neural network to retrieve atmospheric temperatures. This new temperature data record is validated against other datasets and shows good agreement. We use this new dataset to compute trends over the 2008–2020 period. We found a warming of the troposphere, more important at the poles. In the stratosphere, we found that temperatures decrease everywhere except at the South Pole. The cooling is more pronounced at the South pole.
Maya Ben-Yami, Hilke Oetjen, Helen Brindley, William Cossich, Dulce Lajas, Tiziano Maestri, Davide Magurno, Piera Raspollini, Luca Sgheri, and Laura Warwick
Atmos. Meas. Tech., 15, 1755–1777, https://doi.org/10.5194/amt-15-1755-2022, https://doi.org/10.5194/amt-15-1755-2022, 2022
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Spectral emissivity is a key property of the Earth's surface. Few measurements exist in the far-infrared, despite recent work showing that its contribution is important for accurate modelling of global climate. In preparation for ESA’s EE9 FORUM mission (launch in 2026), this study takes the first steps towards the development of an operational emissivity retrieval for FORUM by investigating the sensitivity of the emissivity product to different physical and operational parameters.
Matthew A. Miller, Sandra E. Yuter, Nicole P. Hoban, Laura M. Tomkins, and Brian A. Colle
Atmos. Meas. Tech., 15, 1689–1702, https://doi.org/10.5194/amt-15-1689-2022, https://doi.org/10.5194/amt-15-1689-2022, 2022
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Apparent waves in the atmosphere and similar features in storm winds can be detected by taking the difference between successive Doppler weather radar scans measuring radar-relative storm air motions. Applying image filtering to the difference data better isolates the detected signal. This technique is a useful tool in weather research and forecasting since such waves can trigger or enhance precipitation.
Richard Müller and Uwe Pfeifroth
Atmos. Meas. Tech., 15, 1537–1561, https://doi.org/10.5194/amt-15-1537-2022, https://doi.org/10.5194/amt-15-1537-2022, 2022
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The great works of physics teach us that a central paradigm of science should be to make methods and theories as easy as possible and as complex as needed. This paper provides a brief review of remote sensing of solar surface irradiance based on this paradigm.
S. Joseph Munchak, Robert S. Schrom, Charles N. Helms, and Ali Tokay
Atmos. Meas. Tech., 15, 1439–1464, https://doi.org/10.5194/amt-15-1439-2022, https://doi.org/10.5194/amt-15-1439-2022, 2022
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The ability to measure snowfall with weather radar has greatly advanced with the development of techniques that utilize dual-polarization measurements, which provide information about the snow particle shape and orientation, and multi-frequency measurements, which provide information about size and density. This study combines these techniques with the NASA D3R radar, which provides dual-frequency polarimetric measurements, with data that were observed during the 2018 Winter Olympics.
Oliver Lux, Christian Lemmerz, Fabian Weiler, Uwe Marksteiner, Benjamin Witschas, Stephan Rahm, Alexander Geiß, Andreas Schäfler, and Oliver Reitebuch
Atmos. Meas. Tech., 15, 1303–1331, https://doi.org/10.5194/amt-15-1303-2022, https://doi.org/10.5194/amt-15-1303-2022, 2022
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The article discusses modifications in the wind retrieval of the ALADIN Airborne Demonstrator (A2D) – one of the key instruments for the validation of Aeolus. Thanks to the retrieval refinements, which are demonstrated in the context of two airborne campaigns in 2019, the systematic and random wind errors of the A2D were significantly reduced, thereby enhancing its validation capabilities. Finally, wind comparisons between A2D and Aeolus for the validation of the satellite data are presented.
Vinícius Ludwig-Barbosa, Joel Rasch, Thomas Sievert, Anders Carlström, Mats I. Pettersson, Viet Thuy Vu, and Jacob Christensen
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-57, https://doi.org/10.5194/amt-2022-57, 2022
Revised manuscript accepted for AMT
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The back propagation method has its capabilities and limitations regarding detection and location of irregularity regions in the ionosphere, e.g., equatorial plasma bubbles, evaluated. The assessment was performed with simulations in which different scenarios were assumed. The results showed that the location estimate is possible if the amplitude of the ionospheric is stronger than the instrument noise level. Further, multiple patches can be resolved if regions are well separated.
Terhikki Manninen, Emmihenna Jääskeläinen, Niilo Siljamo, Aku Riihelä, and Karl-Göran Karlsson
Atmos. Meas. Tech., 15, 879–893, https://doi.org/10.5194/amt-15-879-2022, https://doi.org/10.5194/amt-15-879-2022, 2022
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A new method for cloud-correcting observations of surface albedo is presented for AVHRR data. Instead of a binary cloud mask, it applies cloud probability values smaller than 20% of the A3 edition of the CLARA (CM SAF cLoud, Albedo and surface Radiation dataset from AVHRR data) record provided by the Satellite Application Facility on Climate Monitoring (CM SAF) project of EUMETSAT. According to simulations, the 90% quantile was 1.1% for the absolute albedo error and 2.2% for the relative error.
Shihan Chen, Yuanjian Yang, Fei Deng, Yanhao Zhang, Duanyang Liu, Chao Liu, and Zhiqiu Gao
Atmos. Meas. Tech., 15, 735–756, https://doi.org/10.5194/amt-15-735-2022, https://doi.org/10.5194/amt-15-735-2022, 2022
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This paper proposes a method for evaluating canopy UHI intensity (CUHII) at high resolution by using remote sensing data and machine learning with a random forest (RF) model. The spatial distribution of CUHII was evaluated at 30 m resolution based on the output of the RF model. The present RF model framework for real-time monitoring and assessment of high-resolution CUHII provides scientific support for studying the changes and causes of CUHII.
Brian J. Carroll, Amin R. Nehrir, Susan A. Kooi, James E. Collins, Rory A. Barton-Grimley, Anthony Notari, David B. Harper, and Joseph Lee
Atmos. Meas. Tech., 15, 605–626, https://doi.org/10.5194/amt-15-605-2022, https://doi.org/10.5194/amt-15-605-2022, 2022
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HALO is a recently developed lidar system that demonstrates new technologies and advanced algorithms for profiling water vapor as well as aerosol and cloud properties. The high-resolution, high-accuracy measurements have unique advantages within the suite of atmospheric instrumentation, such as directly trading water vapor measurement resolution for precision. This paper provides the methodology and first water vapor results, showing agreement with in situ and spaceborne sounder measurements.
Irina V. Djalalova, David D. Turner, Laura Bianco, James M. Wilczak, James Duncan, Bianca Adler, and Daniel Gottas
Atmos. Meas. Tech., 15, 521–537, https://doi.org/10.5194/amt-15-521-2022, https://doi.org/10.5194/amt-15-521-2022, 2022
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In this paper we investigate the synergy obtained by combining active (radio acoustic sounding system – RASS) and passive (microwave radiometer) remote sensing observations to obtain temperature vertical profiles through a radiative transfer model. Inclusion of the RASS observations leads to more accurate temperature profiles from the surface to 5 km above ground, well above the maximum height of the RASS observations themselves (2000 m), when compared to the microwave radiometer used alone.
Daniel Sanchez-Rivas and Miguel A. Rico-Ramirez
Atmos. Meas. Tech., 15, 503–520, https://doi.org/10.5194/amt-15-503-2022, https://doi.org/10.5194/amt-15-503-2022, 2022
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In this work, we review the use of quasi-vertical profiles for monitoring the calibration of the radar differential reflectivity ZDR. We validate the proposed method by comparing its results against the traditional approach based on measurements taken at 90°; we observed good agreement as the errors are within 0.2 dB. Additionally, we compare the results of the proposed method with ZDR derived from disdrometers; the errors are reasonable considering factors discussed in the paper.
Cited articles
Anthes, R. A.: Exploring Earth's atmosphere with radio occultation: contributions to weather, climate and space weather, Atmos. Meas. Tech., 4, 1077–1103, https://doi.org/10.5194/amt-4-1077-2011, 2011.
Arras, C., Wickert, J., Jacobi, Ch., Heise, S., Beyerle, G., and Schmidt, T.: A global climatology of ionospheric irregularities derived from GPS radio occultation, Geophys. Res. Lett., 35, L14809, https://doi.org/10.1029/2008GL034158, 2008.
Arras, C., Jacobi, C., Wickert, J., Heise, S., and Schmidt, T.: Sporadic E signatures revealed from multi-satellite radio occultation measurements, Adv. Radio Sci., 8, 225–230, https://doi.org/10.5194/ars-8-225-2010, 2010.
Bai, W. H., Sun, Y. Q., Du, Q. F., Yang, G. L., Yang, Z. D., Zhang, P., Bi, Y. M., Wang, X. Y., Cheng, C., and Han, Y.: An introduction to the FY3 GNOS instrument and mountain-top tests, Atmos. Meas. Tech., 7, 1817–1823, https://doi.org/10.5194/amt-7-1817-2014, 2014.
Benzon, H.-H., Nielsen, A. S., and Olsen, L.: An atmospheric wave optics propagator – theory and application, DMI, Scientific Report 03-01, DMI, Copenhagen, Denmark, 1–96, DMI, available at: http://www.dmi.dk/fileadmin/Rapporter/SR/sr03-01.pdf (last access: July 2015), 2003.
Beyerle, G. and Hocke, K.: Observation and simulation of direct and reflected GPS signals in Radio Occultation Experiments, Geophys. Res. Lett., 28, 1895–1898, 2001.
Beyerle, G., Wickert, J., Galas, R., Hocke, K., Konig, R., Marquardt, C., Pavelyev, A. G., Reigber, C., and Schmidt, T.: GPS occultation measurements with GPS/MET and CHAMP, Taikiken Shinpojiumu, 15, 44–47, 2001.
Beyerle, G., Hocke, K., Wickert, J., Schmidt, T., and Reigber, C.: GPS radio occultations with CHAMP: a radio holographic analysis of GPS signal propagation in the troposphere and surface reflections, J. Geophys. Res., 107, 4802, https://doi.org/10.1029/2001JD001402, 2002.
Cornman, L. B., Goodrich, R. K., Axelrad, P., and Barlow, E.: Progress in turbulence detection via GNSS occultation data, Atmos. Meas. Tech., 5, 789–808, https://doi.org/10.5194/amt-5-789-2012, 2012.
Fjeldbo, G.: Bistatic-Radar Methods for Studying Planetary Ionospheres and Surfaces, Ph.D. thesis, Stanford University, USA, 1964.
Fjeldbo, G., Kliore, A. J., and Eshleman, V. R.: The neutral atmosphere of Venus as studied with the Mariner V radio occultation experiments, Astron. J., 76, 123–140, 1971.
Foelsche, U., Kirchengast, G., Steiner, A. K., Kornblueh, L., Manzini, E., and Bengtsson, L.: An observing system simulation experiment for climate monitoring with GNSS radio occultation data: Setup and test bed study, J. Geophys. Res., 113, D11108, https://doi.org/10.1029/2007JD009231, 2008.
Fong, C.-J., Shiau, W.-T., Lin, C.-T., Kuo, T.-C., Chu, C.-H., Yang, S.-K., Nick, L. Y., Chen, S.-S., Kuo, Y.-H., Liou, Y.-A., and Chi, S.: Constellation deployment for the FORMOSAT-3/COSMIC mission, IEEE T. Geosci. Remote Sens., 46, 3367–3379, 2008.
Gorbunov, M. E.: Ionospheric correction and statistical optimization of radio occultation data, Radio Sci., 37, 17-1–17-9, 2002a.
Gorbunov, M. E.: Canonical transform method for processing GPS radio occultation data in lower troposphere, Radio Sci., 37, 9-1–9-10, https://doi.org/10.1029/2000RS002592, 2002b.
Gorbunov, M. E. and Gurvich, A. S.: Microlab-1 experiment: multipath effects in the lower troposphere, J. Geophys. Res., 103, 13819–13826, 1998a.
Gorbunov, M. E. and Gurvich, A. S.: Algorithms of inversion of Microlab-1 satellite data including effects of multipath propagation, Int. J. Remote Sens., 19, 2283–2300, 1998b.
Gorbunov, M. E. and Kirchengast, G.: Processing X/K Band Radio Occultation Data in Presence of Turbulence, Radio Sci., 40, RS6001, https://doi.org/10.1029/2005RS003263, 2005.
Gorbunov, M. E. and Lauritsen, K. B.: Analysis of wave fields by Fourier integral operators and its application for radio occultations, Radio Sci., 39, RS4010, https://doi.org/10.1029/2003RS002971, 2004.
Gorbunov, M. E., Gurvich, A. S., and Bengtsson, L.: Advanced Algorithms of Inversion of GPS/MET Satellite Data and Their Application to Reconstruction of Temperature and Humidity, report No. 211, Max-Planck-Institute for Meteorology, Hamburg, 40 pp., 1996.
Gorbunov, M. E., Gurvich, A. S., and Shmakov, A. V.: Back-propagation and radio-holographic methods for investigation of sporadic ionospheric E-layers from Microlab-1 data, Int. J. Remote Sens., 23, 675–685, 2002.
Gorbunov, M. E., Lauritsen, K. B., and Leroy, S. S.: Application of Wigner distribution function for analysis of radio occultations, Radio Sci., 45, RS6011, https://doi.org/10.1029/2010RS004388, 2010.
Gubenko, V. N., Andreev, V. E., and Pavelyev, A. G.: Detection of layering in the upper cloud layer of Venus northern polar atmosphere observed from radio occultation data, J. Geophys. Res., 113, E03001, https://doi.org/10.1029/2007JE002940, 2008a.
Gubenko, V. N., Pavelyev, A. G., and Andreev, V. E.: Determination of the intrinsic frequency and other wave parameters from a single vertical temperature or density profile measurement, J. Geophys. Res., 113, D08109, https://doi.org/10.1029/2007JD008920, 2008b.
Gubenko, V. N., Pavelyev, A. G., Salimzyanov, R. R., and Pavelyev, A. A.: Reconstruction of internal gravity wave parameters from radio occultation retrievals of vertical temperature profiles in the Earth's atmosphere, Atmos. Meas. Tech., 4, 2153–2162, https://doi.org/10.5194/amt-4-2153-2011, 2011.
Gurvich, A. S. and Chunchuzov, I. P.: Model of the Three-Dimensional Spectrum of Anisotropic Temperature Irregularities in a Stably Stratified Atmosphere, Izv. Atmos. Ocean. Phys., 44, 567–582, 2008.
Gurvich, A. S. and Krasil'nikova, T. G.: Navigation satellites for radio sensing of the Earth's atmosphere, Sov. J. Remote Sens., 6, 89–93, 1987 (in Russian), 6, 1124–1131, 1990 (in English).
Gurvich, A. S. and Yakushkin, I. G.: Observation of quasi-periodical structures in the strato-sphere from space, Izv. Atmos. Ocean. Phys., 40, 737–746, 2004.
Hajj, G. A. and Romans, L. J.: Ionospheric electron density profiles obtained with the Global Positioning System: results from GPS/MET experiment, Radio Sci., 33, 175–190, 1998.
Hajj, G. A., Ao, C. O., Iijima, B. A., Kuang, D., Kursinski, E. R., Mannucci, A. J., Meehan, T. K., Romans, L. J., de la Torre Juarez, M., and Yunck, T. P.: CHAMP and SAC-C atmospheric occultation results and intercomparisons, J. Geophys. Res., 109, D06109, https://doi.org/10.1029/2003JD003909, 2004.
Hinson, D. P., Flasar, F. M., Schinder, A., Twicken, J. D., and Herrera, R. G.: Jupiter's ionosphere: results from the first Galileo radio occultation experiment, Geophys. Res. Lett., 24, 2107–2110, 1997.
Hinson, D. P., Simpson, R. A., Twicken, J. D., Tyler, G. L., and Flasar, F. M.: Initial results from radio occultation measurements with Mars Global Surveyor, J. Geophys. Res., 104, 26997–27012, 1999.
Hocke, K.: Inversion of GPS meteorology data, Ann. Geophys., 15, 443–450, https://doi.org/10.1007/s00585-997-0443-1, 1997.
Hocke, K., Pavelyev, A., Yakovlev, O., Barthes, L., and Jakowski, N.: RO data analysis by radio holographic method, J. Atmos. Sol.-Terr. Phys., 61, 1169–1177, 1999.
Igarashi, K., Pavelyev, A. G., Hocke, K., Kucherjavenkov, A. I., Matugov, S. S., Yakovlev, O. I., Pavelyev, D., and Zakharov, A.: Radio holographic principle for observing natural processes in the atmosphere and retrieving meteorological parameters from radio occultation data, Earth Planets Space, 52, 868–875, 2000.
Igarashi, K., Pavelyev, A. G., Hocke, K., Pavelyev, D., and Wickert, J.: Observation of wave structures in the upper atmosphere by means of radio holographic analysis of the RO data, Adv. Space Res., 27, 1321–1327, 2001.
Jensen, A. S., Lohmann, M., Benzon, H.-H., and Nielsen, A. S.: Full spectrum inversion of radio occultation signals, Radio Sci., 38, 1040, https://doi.org/10.1029/2002RS002763, 2003.
Jensen, A. S., Lohmann, M., Nielsen, A. S., and Benzon, H.-H.: Geometrical optics phase matching of radio occultation signals, Radio Sci., 39, RS3009, https://doi.org/10.1029/2003RS002899, 2004.
Jakowski, N., Leitinger, R., and Angling, M.: Radio occultation techniques for probing the ionosphere, Ann. Geophys.-Italy, 47, 1049–1066, 2004.
Joo, S., Eyre, J., and Marriott, R.: The Impact of METOP and Other Satellite Data Within the Met Office Global NWP System Using an Adjoint-Based Sensitivity Method, Forecasting Research Technical Report no. 562, February, 1–18, 2012.
Kalashnikov, I. E., Matyugov, S. S., Pavelyev, A. G., and Yakovlev, O. I.: Analysis of the features of radio occultation method for the Earth's atmosphere study, in: The Book Electromagnetic Waves in the Atmosphere and Space, Nayka Ed., Moscow, 208–218, 1986 (in Russian).
Karayel, E. T. and Hinson, D. P.: Sub-Fresnel vertical resolution in atmospheric profiles from radio occultation, Radio Sci., 32, 411–418, 1997.
Kelley, M. C. and Heelis, R. A.: The Earth's Ionosphere: Plasma Physics and Electrodynamics, Elsevier Science, New York, 2009.
Kirchengast, G., Steiner, A. K., Foelsche, U., Kornblueh, L., Manzini, E., and Bengtsson, L.: Spaceborne climate change monitoring by GNSS occultation sensors, in: Proc. 11th Symp. Global Change Studies, AMS Ann. Meeting 2000, Long Beach, Calif., 62–65, 2000.
Kunitsyn, V. E. and Tereshchenko, E. D.: Ionospheric Tomography, Springer-Verlag, Berlin, 2003.
Kunitsyn, V. E., Nesterov, I., Padokhin, A., and Tumanova, Y.: Ionospheric radio tomography based on the GPS/GLONASS navigation systems, J. Commun. Technol. El., 56, 1269–1281, 2011.
Kunitsyn, V. E., Andreeva, E., Nesterov, I., and Padokhin, A.: Ionospheric sounding and tomog-raphy by GNSS, in: Geodetic Sciences – Observations, Modeling and Applications, chapter 6, edited by: Jin, S., InTech Publisher, ISBN 978-953-51-1144-3, 354 pp., https://doi.org/10.5772/3439, 2013.
Kursinski, E. R., Hajj, G. A., Schofield, J. T., Kursinski, E. R., Hajj, G. A., Schofield, J. T., Linfield, R. P., and Hardy, K. R.: Observing Earth's atmosphere with radio occultation measurements using the global positioning system, J. Geophys. Res., 102, 23429–23465, 1997.
Lindal, G. F., Wood, G. E., Hotz, H. B., Sweetnam, D. N., Eshleman, V. R., and Tyler, G. L.: The atmosphere of Titan: an analysis of the Voyager 1 radio occultation measurements, Icarus, 53, 348–363, 1983.
Lindal, G. F., Lyons, J. R., Sweetnam, D. N., Eshleman, V. R., Hinson, D. P., and Tyler, G. L.: The atmosphere of Uranus: results of radio occultation measurements with Voyager, J. Geophys. Res., 92, 14987–15001, 1987.
Liou, Y. A. and Pavelyev, A. G.: Simultaneous observations of radio wave phase and intensity variations for locating the plasma layers in the ionosphere, Geophys. Res. Lett., 33, L23102, https://doi.org/10.1029/2006GL027112, 2006.
Liou, Y.-A., Pavelyev, A. G., Huang, C.-Y., Igarashi, K., and Hocke, K.: Simultaneous observation of the vertical gradients of refractivity in the atmosphere and electron density in the lower ionosphere by radio occultation amplitude method, Geophys. Res. Lett., 29, 43-1–43-4, https://doi.org/10.1029/2002GL015155, 2002.
Liou, Y.-A., Pavelyev, A. G., Huang, C.-Y., Igarashi, K., Hocke, K., and Yan, S. K.: Analytic method for observation of the GW using RO data, Geophys. Res. Lett., 30, ASC 1-1–1-5, https://doi.org/10.1029/2003GL017818, 2003.
Liou, Y. A., Pavelyev, A. G., Pavelyev, A. A., Wickert, J., and Schmidt, T.: Analysis of atmospheric and ionospheric structures using the GPS/MET and CHAMP radio occultation data base: a methodological review, GPS Solut., 9, 122–143, 2005a.
Liou, Y. A., Pavelyev, A. G., and Wickert, J.: Observation of the gravity waves from GPS/MET radio occultation data, J. Atmos. Sol.-Terr. Phys., 67, 219–228, https://doi.org/10.1016/j.jastp.2004.08.001, 2005b.
Liou, Y. A., Pavelyev, A. G., Liu, S.-F., Pavelyev, A. A., Yen, N., Huang, C.-Y., and Fong, C.-J.: FORMOSAT-3/COSMIC GPS radio occultation mission: preliminary results, IEEE T. Geosci. Remote, 45, 3813–3826, 2007.
Liou, Y. A., Pavelyev, A. G., Matyugov, S. S., Yakovlev, O. I., and Wickert, J.: Radio Occultation Method for Remote Sensing of the Atmosphere and Ionosphere, edited by: Liou, Y. A., IN-TECH, In-The Olajnica 19/2, 32000 Vukovar, Croatia, 170, 45 pp., ISBN 978-953-7619-60-2, 2010.
Manzini, E. and Bengtsson, L.: An observing system simulation experiment for climate monitoring with GNSS radio occultation data: setup and test bed study, J. Geophys. Res., 113, D11108, https://doi.org/10.1029/2007JD009231, 2008.
Marouf, E. A. and Tyler, G. L.: Microwave edge diffraction by features in Saturn's rings: observations with Voyager 1, Science, 217, 243–245, 1982.
Melbourne, W. G.: Radio Occultations Using Earth Satellites: A Wave Theory Treatment, Jet Propulsion Laboratory California Institute of Technology, Monograph 6, Deep Space Communications and Navigation Series, edited by: Yuen, J. H., the Deep Space Communications and Navigation Systems Center of Excellence Jet Propulsion Laboratory California Institute of Technology, 610 pp., 2004.
Melbourne, W. G., Davis, E. S., Duncan, C. B., Hajj, G. A., Hardy, K. R., Kursinski, E. R., Meehan, T. K., Young, L. E., and Yunck, T. P.: The application of spaceborne GPS to atmospheric limb sounding and global change monitoring, JPL Publication, 94-18, 147 pp., 1994.
Mortensen, M. D. and Høeg, P.: Inversion of GPS occultation measurements using Fresnel diffraction theory, Geophys. Res. Lett., 25, 2441–2444, 1998.
Mortensen, M. D., Lifield, R. P., and Kursinski, E. R.: Vertical resolution approaching 100 m for GPS occultations of the Earth's atmosphere, Radio Sci., 36, 1475–1484, 1999.
Pavelyev, A. G.: On possibility of radio holographic investigation on communication link satellite-to-satellite, J. Commun. Technol. Electron., 43, 126–132, 1998.
Pavelyev A. G.: The Principle of the Locality and Radio Occultation Method for Remote Sensing of Layers in the Atmosphere and Ionosphere on Earth and Other Planets, Doklady Physics, 58, 375–378, 2013.
Pavelyev, A. G. and Kucherjavenkov, A. I.: Refractive attenuation in the planetary atmospheres, Radio Eng. Electron. P., 23, 13–19, 1978.
Pavelyev, A. G., Volkov, A. V., Zakharov, A. I., Krytikh, S. A., and Kucherjavenkov A. I.: Bistatic radar as a tool for Earth observation using small satellites, Acta Astronautica, 39, 721–730, 1996.
Pavelyev, A. G., Liou, Y.-A., Huang, C. Y., Reigber, C., Wickert, J., Igarashi, K., and Hocke, K.: Radio holographic method for the study of the ionosphere, atmosphere and terrestrial surface using GPS occultation signals, GPS Solut., 6, 101–108, 2002.
Pavelyev, A. G., Liou, Y. A., and Wickert, J.: Diffractive vector and scalar integrals for bistatic radio-holographic remote sensing, Radio Sci., 39, RS4011, https://doi.org/10.1029/2003RS002935, 2004.
Pavelyev, A. G., Liou, Y. A., Wickert, J., Schmidt, T., Pavelyev, A. A., and Liu, S. F.: Effects of the ionosphere and solar activity on radio occultation signals: application to CHAllenging Minisatellite Payload satellite observations, J. Geophys. Res., 112, A06326, https://doi.org/10.1029/2006JA011625, 2007.
Pavelyev, A. G., Wickert, J., and Liou, Y.-A.: Localization of plasma layers in the ionosphere based on observing variations in the amplitude and phase of radiowaves along the satellite-to-satellite path, Radiophys. Quantum El., 51, 1–8, 2008a.
Pavelyev, A. G., Liou, Y.-A., Wickert, J., Pavelyev, A. A., Schmidt, T., Igarashi, K., and Matyugov, S. S.: Location of layered structures in the ionosphere and atmosphere by use of GPS occultation data, Adv. Space Res., 42, 224–228, 2008b.
Pavelyev, A. G., Liou, Y. A., Wickert, J., Gavrik, A. L., and Lee, C. C.: Eikonal acceleration technique for studying of the Earth and planetary atmospheres by radio occultation method, Geophys. Res. Lett., 36, L21807, https://doi.org/10.1029/2009GL040979, 2009.
Pavelyev, A. G., Liou, Y.-A., Wickert, J., Schmidt, T., Pavelyev, A. A., and Matyugov, S. S.: Phase acceleration: a new important parameter in GPS occultation technology, GPS Solut., 14, 3–14, https://doi.org/10.1007/s10291-009-0128-1, 2010a.
Pavelyev, A. G., Liou, Y. A., Wickert, J., Zhang, K., Wang, C.-S., and Kuleshov, Y.: Analytical model of electromagnetic waves propagation and location of inclined plasma layers using occultation data, Prog. Electromagn. Res., 106, 177–202, https://doi.org/10.2528/PIER10042707, 2010b.
Pavelyev, A. G., Zhang, K., Matyugov, S. S., Liou, Y. A., Wang, C. S., Yakovlev, O. I., Kucherjavenkov, I. A., and Kuleshov, Y.: Analytical model of bistatic reflections and radio occultation signals, Radio Sci., 46, RS1009, https://doi.org/10.1029/2010RS004434, 2011.
Pavelyev, A. G., Liou, Y. A., Zhang, K., Wang, C. S., Wickert, J., Schmidt, T., Gubenko, V. N., Pavelyev, A. A., and Kuleshov, Y.: Identification and localization of layers in the ionosphere using the eikonal and amplitude of radio occultation signals, Atmos. Meas. Tech., 5, 1–16, https://doi.org/10.5194/amt-5-1-2012, 2012.
Pavelyev, A. G., Zhang, K., Liou, Y. A., Pavelyev, A. A., Wang, C.-S., Wickert, J., Schmidt, T., and Kuleshov Y.: Principle of Locality and Analysis of Radio Occultation Data, IEEE T. Geosci. Remote, 51, 3240–3249, https://doi.org/10.1109/TGRS.2012.2225629, 2013.
Rius, A., Ruffini, G., and Romeo, A.: Analysis of ionospheric electron density distribution from GPS/Met occultations, IEEE T. Geosci. Remote, 36, 383–394, 1998.
Schmidt, T., Heise, S., Wickert, J., Beyerle, G., and Reigber, C.: GPS radio occultation with CHAMP and SAC-C: global monitoring of thermal tropopause parameters, Atmos. Chem. Phys., 5, 1473–1488, https://doi.org/10.5194/acp-5-1473-2005, 2005.
Sokolovskiy, S. V.: Inversion of RO amplitude data, Radio Sci., 35, 97–105, 2000.
Sokolovskiy, S. V., Schreiner, W., Rocken, C., and Hunt, D.: Detection of high-altitude ionospheric irregularities with GPS/MET, Geophys. Res. Lett., 29, 621–625, 2002.
Steiner, A. K. and Kirchengast, G.: GW spectra from GPS/MET occultation observations, J. Atmos. Ocean. Tech., 17, 495–503, 2000.
Steiner, A. K., Kirchengast, G., and Ladreiter, H. P.: Inversion, error analysis, and validation of GPS/MET occultation data, Ann. Geophys., 17, 122–138, https://doi.org/10.1007/s00585-999-0122-5, 1999.
Steiner, A. K., Kirchengast, G., Foelsche, U., Kornblueh, L., Manzini, E., and Bengtsson, L.: GNSS occultation sounding for climate monitoring, Phys. Chem. Earth Pt. A, 26, 113–124, 2001.
Syndergaard, S.: Modeling the impact of the Earth's oblateness on the retrieval of temperature and pressure profiles from limb sounding, J. Atmos. Sol.-Terr. Phy., 60, 171–180, 1998.
Syndergaard, S.: Retrieval analysis and methodologies in atmospheric limb sounding using the GNSS radio occultation technique, DMI Sci. Rep. 99-6, Danish Met. Inst., Copenhagen, Denmark, 131 pp., available at: http://www.cosmic.ucar.edu/groupAct/references/Sr99-6.pdf (last access: 10 January 2015), 1999.
Von Engeln, A., Andresa, Y., Marquardt, C., and Sancho, F.: GRAS Radio Occultation on-board of Metop, Adv. Space Res., 47, 336–347, https://doi.org/10.1016/j.asr.2010.07.028, 2011.
Vorob'ev, V. V. and Krasilnikova, T. G.: Estimation of accuracy of the atmosphere refractive index recovery from Doppler shift measurements at frequencies used in the NAVSTAR system, Izv. Russ. Acad. Sci., 29, 602–609, 1994 (Engl. Transl.).
Vorob'ev, V. V., Gurvich, A. S., Kan, V., Sokolovskiy, S. V., Fedorova, O. V., and Shmakov, A. V.: The structure of the ionosphere from theGPS-"Microlab-1" radio occultation data: preliminary results, Cosmic Res., 4, 74–83, 1997 (in Russian).
Ware, R., Exner, M., Feng, D., Gorbunov, M., Hardy, K., Herman, B., Kuo, Y.-H., Meehan, T., Melbourne, W., Rocken, C., Schreiner, W., Sokolovskiy, S., Solheim, F., Zou, X., Anthes, R., Businger, S., and Trenberth, K.: GPS soundings of the atmosphere from low earth orbit: preliminary results, B. Am. Meteorol. Soc., 77, 19–40, 1996.
Wickert, J., Pavelyev, A. G., Liou, Y. A., Schmidt, T., Reigber, C., Igarashi, K., Pavelyev, A. A., and Matyugov, S.: Amplitude scintillations in GPS signals as a possible indicator of ionospheric structures, Geophys. Res. Lett., 31, L24801, https://doi.org/10.1029/2004GL020607, 2004.
Wickert, J., Reigber, C., Beyerle, G., Konig, R., Marquardt, C., Schmidt, T., Grunwaldt, L., Galas, R., Meehan, T. K., Melbourne, W. G., and Hocke, K.: Atmosphere sounding by GPS radio occultation: first results from CHAMP, Geophys. Res. Lett., 28, 3263–3266, 2001.
Wickert, J., Beyerle, G., König, R., Heise, S., Grunwaldt, L., Michalak, G., Reigber, Ch., and Schmidt, T.: GPS radio occultation with CHAMP and GRACE: A first look at a new and promising satellite configuration for global atmospheric sounding, Ann. Geophys., 23, 653–658, https://doi.org/10.5194/angeo-23-653-2005, 2005.
Wickert, J., Schmidt, T., Michalak, G., Heise, S., Arras, C., Beyerle, G., Falck, C., König, R., Pingel, D., and Rothacher, M.: GPS radio occultation with CHAMP, GRACE-A, SAC-C, TerraSAR-X, and FORMOSAT-3/COSMIC: brief review of results from GFZ, in: New Horizons in Occultation Research: Studies in Atmosphere and Climate, edited by: Steiner, A., Pirscher, B., Foelsche, U., and Kirchengast, G., Springer, 3–16, 2009.
Yakovlev, O. I.: Space Radio Science, Taylor and Francis, London, 306 pp., 2002.
Yakovlev, O. I., Pavelyev, A. G., and Matyugov, S. S.: Radio Occultation Monitoring of the Atmo-sphere and Ionosphere, URSS Edition, Moscow, 206 pp., ISBN 978-5-397-01227-0, 2010 (in Russian).
Yunck, T. P., Lindal, G. F., and Liu, C.-H.: The role of GPS in precise Earth observation, in: Proc. IEEE Position Location and Navigation Symposium (PLANS 88), 29 November–December, 1988.
Yunck, T. P., Liu, C.-H., and Ware, R.: A history of GPS sounding, Terr. Atmos. Ocean. Sci., 11, 1–20, 2000.
Zhang, K., Zhang, S., Le Marshall, J., Kirchengast, G., Norman, R., Ying Li, Liu, C., and Carter, B.: A new Australian GNSS radio occultation data processing platform, in: IGNSS 2013 Symposium Proc., Gold Coast, Australia, ISBN 978-0-646-90640-9, Pap.85/12p., 2013.
Zus, F., Grunwaldt, L., Heise, S., Michalak, G., Schmidt, T., and Wickert, J.: Atmosphere sounding by GPS radio occultation: first results from TanDEM-X and comparison with TerraSAR-X, Adv. Space Res., 53, 272–279, https://doi.org/10.1016/j.asr.2013.11.013, 2014.
