Articles | Volume 11, issue 5
https://doi.org/10.5194/amt-11-2601-2018
© Author(s) 2018. 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-11-2601-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 May 2018
Research article |
| 04 May 2018
Integrating uncertainty propagation in GNSS radio occultation retrieval: from excess phase to atmospheric bending angle profiles
Wegener Center for Climate and Global Change (WEGC), University of Graz, Graz, Austria
Institute for Geophysics, Astrophysics and Meteorology/Institute of Physics, University of Graz, Graz, Austria
Gottfried Kirchengast
Wegener Center for Climate and Global Change (WEGC), University of Graz, Graz, Austria
Institute for Geophysics, Astrophysics and Meteorology/Institute of Physics, University of Graz, Graz, Austria
Marc Schwaerz
Wegener Center for Climate and Global Change (WEGC), University of Graz, Graz, Austria
Institute for Geophysics, Astrophysics and Meteorology/Institute of Physics, University of Graz, Graz, Austria
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Josef Innerkofler, Gottfried Kirchengast, Marc Schwärz, Christian Marquardt, and Yago Andres
Atmos. Meas. Tech., 16, 5217–5247, https://doi.org/10.5194/amt-16-5217-2023, https://doi.org/10.5194/amt-16-5217-2023, 2023
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Atmosphere remote sensing using GNSS radio occultation provides a highly valuable basis for atmospheric and climate science. For the highest-quality demands, the Wegener Center set up a rigorous system for processing low-level measurement data. This excess-phase processing setup includes integrated quality control and uncertainty estimation. It was successfully evaluated and inter-compared, ensuring the capability of producing reliable long-term data records for climate applications.
Ying Li, Gottfried Kirchengast, Marc Schwaerz, and Yunbin Yuan
Atmos. Chem. Phys., 23, 1259–1284, https://doi.org/10.5194/acp-23-1259-2023, https://doi.org/10.5194/acp-23-1259-2023, 2023
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We develop a new approach to monitor sudden stratospheric warming (SSW) events since 1980 and develop a 42-year SSW event climatology. Detection and evaluation results suggest that the new method is robust for SSW monitoring. We also found an increase in the duration of SSW main-phase warmings of about 5(±2) d over the three decades from the 1980s to the 2010s, raising the average duration from about 10 to 15 d, and the warming strength is also found increased.
Ying Li, Gottfried Kirchengast, Marc Schwärz, Florian Ladstädter, and Yunbin Yuan
Atmos. Meas. Tech., 14, 2327–2343, https://doi.org/10.5194/amt-14-2327-2021, https://doi.org/10.5194/amt-14-2327-2021, 2021
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We introduce a new method to detect and monitor sudden stratospheric warming (SSW) events using Global Navigation Satellite System (GNSS) radio occultation (RO) data at high northern latitudes and demonstrate it for the well-known Jan.–Feb. 2009 event. We found that RO data are capable of SSW monitoring. Based on our method, a SSW event can be detected and tracked, and the duration and the strength of the event can be recorded. The results are consistent with other research on the 2009 event.
Andrea K. Steiner, Florian Ladstädter, Chi O. Ao, Hans Gleisner, Shu-Peng Ho, Doug Hunt, Torsten Schmidt, Ulrich Foelsche, Gottfried Kirchengast, Ying-Hwa Kuo, Kent B. Lauritsen, Anthony J. Mannucci, Johannes K. Nielsen, William Schreiner, Marc Schwärz, Sergey Sokolovskiy, Stig Syndergaard, and Jens Wickert
Atmos. Meas. Tech., 13, 2547–2575, https://doi.org/10.5194/amt-13-2547-2020, https://doi.org/10.5194/amt-13-2547-2020, 2020
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High-quality observations are critically important for monitoring the Earth’s changing climate. We provide information on the consistency and long-term stability of observations from GPS radio occultation (RO). We assess, for the first time, RO records from multiple RO missions and all major RO data providers. Our results quantify where RO can be used for reliable trend assessment and confirm its climate quality.
Julia Danzer, Marc Schwärz, Veronika Proschek, Ulrich Foelsche, and Hans Gleisner
Atmos. Meas. Tech., 11, 4867–4882, https://doi.org/10.5194/amt-11-4867-2018, https://doi.org/10.5194/amt-11-4867-2018, 2018
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Recently a new approach for the production of RO climatologies has been proposed. The idea is to propagate mean bending angle profiles through processing and retrieve directly climatological products of refractivity, density, pressure, and temperature. The averaging suppresses noise in the data, allowing the bending angles to be used up to 80 km without the need for background information. This work focuses on the comparison of the new climatologies between two processing centers.
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.
Barbara Angerer, Florian Ladstädter, Barbara Scherllin-Pirscher, Marc Schwärz, Andrea K. Steiner, Ulrich Foelsche, and Gottfried Kirchengast
Atmos. Meas. Tech., 10, 4845–4863, https://doi.org/10.5194/amt-10-4845-2017, https://doi.org/10.5194/amt-10-4845-2017, 2017
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We present a detailed analysis of the latest Wegener Center GPS radio occultation reprocessing (OPSv5.6) output. Knowledge of differences in data quality, as well as of data consistency, is essential when combining data from different missions to a long-term climate record. We compare quality aspects of the various processed satellite missions and present satellite-dependent variations. Temperature data from various satellites are found to be highly consistent within 8 to 25 km.
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
F. Ladstädter, A. K. Steiner, M. Schwärz, and G. Kirchengast
Atmos. Meas. Tech., 8, 1819–1834, https://doi.org/10.5194/amt-8-1819-2015, https://doi.org/10.5194/amt-8-1819-2015, 2015
J. Danzer, U. Foelsche, B. Scherllin-Pirscher, and M. Schwärz
Atmos. Meas. Tech., 7, 2883–2896, https://doi.org/10.5194/amt-7-2883-2014, https://doi.org/10.5194/amt-7-2883-2014, 2014
Related subject area
Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
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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.
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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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
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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
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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.
Sebastian Rhode, Peter Preusse, Jörn Ungermann, Inna Polichtchouk, Kaoru Sato, Shingo Watanabe, Manfred Ern, Karlheinz Nogai, Björn-Martin Sinnhuber, and Martin Riese
EGUsphere, https://doi.org/10.5194/egusphere-2024-1084, https://doi.org/10.5194/egusphere-2024-1084, 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 the general atmospheric circulation and atmospheric processes.
Andrea Camplani, Daniele Casella, Paolo Sanò, and Giulia Panegrossi
Atmos. Meas. Tech., 17, 2195–2217, https://doi.org/10.5194/amt-17-2195-2024, https://doi.org/10.5194/amt-17-2195-2024, 2024
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The paper describes a new machine-learning-based snowfall retrieval algorithm for Advanced Technology Microwave Sounder observations developed to retrieve high-latitude snowfall events. The main novelty of the approach is the radiometric characterization of the background surface at the time of the overpass, which is ancillary to the retrieval process. The algorithm shows a unique capability to retrieve snowfall in the environmental conditions typical of high latitudes.
Lusheng Liang, Wenying Su, Sergio Sejas, Zachary Eitzen, and Norman G. Loeb
Atmos. Meas. Tech., 17, 2147–2163, https://doi.org/10.5194/amt-17-2147-2024, https://doi.org/10.5194/amt-17-2147-2024, 2024
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This paper describes an updated process to obtain unfiltered radiation from CERES satellite instruments by incorporating the most recent developments in radiative transfer modeling and ancillary input datasets (e.g., realistic representation of land surface radiation and climatology of surface temperatures and aerosols) during the past 20 years. The resulting global mean of instantaneous SW and LW fluxes is changed by less than 0.5 W m−2 with regional differences as large as 2.0 W m−2.
Maximilian Graf, Andreas Wagner, Julius Polz, Llorenç Lliso, José Alberto Lahuerta, Harald Kunstmann, and Christian Chwala
Atmos. Meas. Tech., 17, 2165–2182, https://doi.org/10.5194/amt-17-2165-2024, https://doi.org/10.5194/amt-17-2165-2024, 2024
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Commercial microwave links (CMLs) can be used for rainfall retrieval. The detection of rainy periods in their attenuation time series is a crucial processing step. We investigate the usage of rainfall data from MSG SEVIRI for this task, compare this approach with existing methods, and introduce a novel combined approach. The results show certain advantages for SEVIRI-based methods, particularly for CMLs where existing methods perform poorly. Our novel combination yields the best performance.
Lieuwe G. Tilstra, Martin de Graaf, Victor J. H. Trees, Pavel Litvinov, Oleg Dubovik, and Piet Stammes
Atmos. Meas. Tech., 17, 2235–2256, https://doi.org/10.5194/amt-17-2235-2024, https://doi.org/10.5194/amt-17-2235-2024, 2024
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This paper introduces a new surface albedo climatology of directionally dependent Lambertian-equivalent reflectivity (DLER) observed by TROPOMI on the Sentinel-5 Precursor satellite. The database contains monthly fields of DLER for 21 wavelength bands at a relatively high spatial resolution of 0.125 by 0.125 degrees. The anisotropy of the surface reflection is handled by parameterisation of the viewing angle dependence.
Bing Cao and Alan Z. Liu
Atmos. Meas. Tech., 17, 2123–2146, https://doi.org/10.5194/amt-17-2123-2024, https://doi.org/10.5194/amt-17-2123-2024, 2024
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A narrow-band sodium lidar measures atmospheric waves but is limited to vertical variations. We propose to utilize phase shifts among observations from different laser beams to derive horizontal wave information. Two gravity wave packets were identified by this method. Both waves were found to interact with thin evanescent layers, partially reflected, but transmitted energy to higher altitudes. The method can detect more medium-frequency gravity waves for similar lidar systems worldwide.
Suyoung Sim, Sungwon Choi, Daeseong Jung, Jongho Woo, Nayeon Kim, Sungwoo Park, Honghee Kim, Ukkyo Jeong, Hyunkee Hong, and Kyung-Soo Han
EGUsphere, https://doi.org/10.5194/egusphere-2024-601, https://doi.org/10.5194/egusphere-2024-601, 2024
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Our study presents a novel method for satellite-based surface reflectance estimation, using the bi-directional Reflectance Distribution Function (BRDF) model to derive Background Surface Reflectance (BSR) in UV-VIS hyperspectral satellite imagery. Through comprehensive analysis, we show that BSR offers higher accuracy and greater stability compared to Lambertian Equivalent Reflectance (LER) methods. This data can offer a promising tool for accurate climate analysis and air quality monitoring.
Xiaozhen Xiong, Xu Liu, Robert Spurr, Ming Zhao, Qiguang Yang, Wan Wu, and Liqiao Lei
Atmos. Meas. Tech., 17, 1965–1978, https://doi.org/10.5194/amt-17-1965-2024, https://doi.org/10.5194/amt-17-1965-2024, 2024
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The term “hotspot” refers to the sharp increase in reflectance occurring when incident (solar) and reflected (viewing) directions coincide in the backscatter direction. The accurate simulation of hotspot directional signatures is important for many remote sensing applications, but current models typically require large values of computations to represent the hotspot accurately. This paper provides a numerically improved hotspot BRDF model that converges much faster and is used in VLIDORT.
Daniel Zawada, Kimberlee Dubé, Taran Warnock, Adam Bourassa, Susann Tegtmeier, and Douglas Degenstein
Atmos. Meas. Tech., 17, 1995–2010, https://doi.org/10.5194/amt-17-1995-2024, https://doi.org/10.5194/amt-17-1995-2024, 2024
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There remain large uncertainties in long-term changes of stratospheric–atmospheric temperatures. We have produced a time series of more than 20 years of satellite-based temperature measurements from the OSIRIS instrument in the upper–middle stratosphere. The dataset is publicly available and intended to be used for a better understanding of changes in stratospheric temperatures.
Witali Krochin, Axel Murk, and Gunter Stober
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-42, https://doi.org/10.5194/amt-2024-42, 2024
Revised manuscript accepted for AMT
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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 manuscript, 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 20–50 km at the geographical location of Payerne (Switzerland).
Alban Philibert, Marie Lothon, Julien Amestoy, Pierre-Yves Meslin, Solène Derrien, Yannick Bezombes, Bernard Campistron, Fabienne Lohou, Antoine Vial, Guylaine Canut-Rocafort, Joachim Reuder, and Jennifer K. Brooke
Atmos. Meas. Tech., 17, 1679–1701, https://doi.org/10.5194/amt-17-1679-2024, https://doi.org/10.5194/amt-17-1679-2024, 2024
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We present a new algorithm, CALOTRITON, for the retrieval of the convective boundary layer depth with ultra-high-frequency radar measurements. CALOTRITON is partly based on the principle that the top of the convective boundary layer is associated with an inversion and a decrease in turbulence. It is evaluated using ceilometer and radiosonde data. It is able to qualify the complexity of the vertical structure of the low troposphere and detect internal or residual layers.
Kamil Mroz, Alessandro Battaglia, and Ann M. Fridlind
Atmos. Meas. Tech., 17, 1577–1597, https://doi.org/10.5194/amt-17-1577-2024, https://doi.org/10.5194/amt-17-1577-2024, 2024
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In this study, we examine the extent to which radar measurements from space can inform us about the properties of clouds and precipitation. Surprisingly, our analysis showed that the amount of ice turning into rain was lower than expected in the current product. To improve on this, we came up with a new way to extract information about the size and concentration of particles from radar data. As long as we use this method in the right conditions, we can even estimate how dense the ice is.
Giulia Roccetti, Luca Bugliaro, Felix Gödde, Claudia Emde, Ulrich Hamann, Mihail Manev, Michael Fritz Sterzik, and Cedric Wehrum
EGUsphere, https://doi.org/10.5194/egusphere-2024-167, https://doi.org/10.5194/egusphere-2024-167, 2024
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The amount of sunlight reflected by Earth’s surface (albedo) is crucial for its radiative system. Satellite instruments offer detailed spatial and temporal albedo maps, but only in seven specific wavelength bands. We generate albedo maps that fully cover the visible and near-infrared range with a machine learning algorithm. These provide information about how the reflectivity of different land surfaces vary through the year. Our dataset enhances the understanding of Earth's energy balance.
Volker Wulfmeyer, Christoph Senff, Florian Späth, Andreas Behrendt, Diego Lange, Robert M. Banta, W. Alan Brewer, Andreas Wieser, and David D. Turner
Atmos. Meas. Tech., 17, 1175–1196, https://doi.org/10.5194/amt-17-1175-2024, https://doi.org/10.5194/amt-17-1175-2024, 2024
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A simultaneous deployment of Doppler, temperature, and water-vapor lidar systems is used to provide profiles of molecular destruction rates and turbulent kinetic energy (TKE) dissipation in the convective boundary layer (CBL). The results can be used for the parameterization of turbulent variables, TKE budget analyses, and the verification of weather forecast and climate models.
Daisuke Hotta, Katrin Lonitz, and Sean Healy
Atmos. Meas. Tech., 17, 1075–1089, https://doi.org/10.5194/amt-17-1075-2024, https://doi.org/10.5194/amt-17-1075-2024, 2024
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Global Navigation Satellite System (GNSS) polarimetric radio occultation (PRO) is a new type of GNSS observations that can detect heavy precipitation along the ray path between the emitter and receiver satellites. As a first step towards using these observations in numerical weather prediction (NWP), we developed a computer code that simulates GNSS-PRO observations from forecast fields produced by an NWP model. The quality of the developed simulator is evaluated with a number of case studies.
Mohamed Mossad, Irina Strelnikova, Robin Wing, and Gerd Baumgarten
Atmos. Meas. Tech., 17, 783–799, https://doi.org/10.5194/amt-17-783-2024, https://doi.org/10.5194/amt-17-783-2024, 2024
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This numerical study addresses observational gaps' impact on atmospheric gravity wave spectra. Three methods, fast Fourier transform (FFT), generalized Lomb–Scargle periodogram (GLS), and Haar structure function (HSF), were tested on synthetic data. HSF is best for spectra with negative slopes. GLS excels for flat and positive slopes and identifying dominant frequencies. Accurately estimating these aspects is crucial for understanding gravity wave dynamics and energy transfer in the atmosphere.
Kuo-Nung Wang, Chi O. Ao, Mary G. Morris, George A. Hajj, Marcin J. Kurowski, Francis J. Turk, and Angelyn W. Moore
Atmos. Meas. Tech., 17, 583–599, https://doi.org/10.5194/amt-17-583-2024, https://doi.org/10.5194/amt-17-583-2024, 2024
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In this article, we described a joint retrieval approach combining two techniques, RO and MWR, to obtain high vertical resolution and solve for temperature and moisture independently. The results show that the complicated structure in the lower troposphere can be better resolved with much smaller biases, and the RO+MWR combination is the most stable scenario in our sensitivity analysis. This approach is also applied to real data (COSMIC-2/Suomi-NPP) to show the promise of joint RO+MWR retrieval.
Filippo Emilio Scarsi, Alessandro Battaglia, Frederic Tridon, Paolo Martire, Ranvir Dhillon, and Anthony Illingworth
Atmos. Meas. Tech., 17, 499–514, https://doi.org/10.5194/amt-17-499-2024, https://doi.org/10.5194/amt-17-499-2024, 2024
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The WIVERN mission, one of the two candidates to be the ESA's Earth Explorer 11 mission, aims at providing measurements of horizontal winds in cloud and precipitation systems through a conically scanning W-band Doppler radar. This work discusses four methods that can be used to characterize and correct the Doppler velocity error induced by the antenna mispointing. The proposed methodologies can be extended to other Doppler concepts featuring conically scanning or slant viewing Doppler systems.
Luis Ackermann, Joshua Soderholm, Alain Protat, Rhys Whitley, Lisa Ye, and Nina Ridder
Atmos. Meas. Tech., 17, 407–422, https://doi.org/10.5194/amt-17-407-2024, https://doi.org/10.5194/amt-17-407-2024, 2024
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The paper addresses the crucial topic of hail damage quantification using radar observations. We propose a new radar-derived hail product that utilizes a large dataset of insurance hail damage claims and radar observations. A deep neural network was employed, trained with local meteorological variables and the radar observations, to better quantify hail damage. Key meteorological variables were identified to have the most predictive capability in this regard.
Christos Gatidis, Marc Schleiss, and Christine Unal
Atmos. Meas. Tech., 17, 235–245, https://doi.org/10.5194/amt-17-235-2024, https://doi.org/10.5194/amt-17-235-2024, 2024
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A common method to retrieve important information about the microphysical structure of rain (DSD retrievals) requires a constrained relationship between the drop size distribution parameters. The most widely accepted empirical relationship is between μ and Λ. The relationship shows variability across the different types of rainfall (convective or stratiform). The new proposed power-law model to represent the μ–Λ relation provides a better physical interpretation of the relationship coefficients.
Liqin Jin, Jakob Mann, Nikolas Angelou, and Mikael Sjöholm
Atmos. Meas. Tech., 16, 6007–6023, https://doi.org/10.5194/amt-16-6007-2023, https://doi.org/10.5194/amt-16-6007-2023, 2023
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By sampling the spectra from continuous-wave Doppler lidars very fast, the rain-induced Doppler signal can be suppressed and the bias in the wind velocity estimation can be reduced. The method normalizes 3 kHz spectra by their peak values before averaging them down to 50 Hz. Over 3 h, we observe a significant reduction in the bias of the lidar data relative to the reference sonic data when the largest lidar focus distance is used. The more it rains, the more the bias is reduced.
Florian Günzkofer, Gunter Stober, Dimitry Pokhotelov, Yasunobu Miyoshi, and Claudia Borries
Atmos. Meas. Tech., 16, 5897–5907, https://doi.org/10.5194/amt-16-5897-2023, https://doi.org/10.5194/amt-16-5897-2023, 2023
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Electric currents in the ionosphere can impact both satellite and ground-based infrastructure. These currents depend strongly on the collisions of ions and neutral particles. Measuring ion–neutral collisions is often only possible via certain assumptions. The direct measurement of ion–neutral collision frequencies is possible with multifrequency incoherent scatter radar measurements. This paper presents one analysis method of such measurements and discusses its advantages and disadvantages.
Neranga K. Hannadige, Peng-Wang Zhai, Meng Gao, Yongxiang Hu, P. Jeremy Werdell, Kirk Knobelspiesse, and Brian Cairns
Atmos. Meas. Tech., 16, 5749–5770, https://doi.org/10.5194/amt-16-5749-2023, https://doi.org/10.5194/amt-16-5749-2023, 2023
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We evaluated the impact of three ocean optical models with different numbers of free parameters on the performance of an aerosol and ocean color remote sensing algorithm using the multi-angle polarimeter (MAP) measurements. It was demonstrated that the three- and seven-parameter bio-optical models can be used to accurately represent both open and coastal waters, whereas the one-parameter model has smaller retrieval uncertainty over open water.
Konstantin Ntokas, Jörn Ungermann, Martin Kaufmann, Tom Neubert, and Martin Riese
Atmos. Meas. Tech., 16, 5681–5696, https://doi.org/10.5194/amt-16-5681-2023, https://doi.org/10.5194/amt-16-5681-2023, 2023
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A nanosatellite was developed to obtain 1-D vertical temperature profiles in the mesosphere and lower thermosphere, which can be used to derive wave parameters needed for atmospheric models. A new processing method is shown, which allows one to extract two 1-D temperature profiles. The location of the two profiles is analyzed, as it is needed for deriving wave parameters. We show that this method is feasible, which however will increase the requirements of an accurate calibration and processing.
Daniel Durbin, Yadong Wang, and Pao-Liang Chang
EGUsphere, https://doi.org/10.5194/egusphere-2023-2220, https://doi.org/10.5194/egusphere-2023-2220, 2023
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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 which uses swarm intelligence to seek the most suitable DSD which would produce the input measures.
Maya García-Comas, Bernd Funke, Manuel López-Puertas, Norbert Glatthor, Udo Grabowski, Sylvia Kellmann, Michael Kiefer, Andrea Linden, Belén Martínez-Mondéjar, Gabriele P. Stiller, and Thomas von Clarmann
Atmos. Meas. Tech., 16, 5357–5386, https://doi.org/10.5194/amt-16-5357-2023, https://doi.org/10.5194/amt-16-5357-2023, 2023
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We have released version 8 of MIPAS IMK–IAA temperatures and pointing information retrieved from MIPAS Middle and Upper Atmosphere mode version 8.03 calibrated spectra, covering 20–115 km altitude. We considered non-local thermodynamic equilibrium emission explicitly for each limb scan, essential to retrieve accurate temperatures above the mid-mesosphere. Comparisons of this temperature dataset with SABER measurements show excellent agreement, improving those of previous MIPAS versions.
Josef Innerkofler, Gottfried Kirchengast, Marc Schwärz, Christian Marquardt, and Yago Andres
Atmos. Meas. Tech., 16, 5217–5247, https://doi.org/10.5194/amt-16-5217-2023, https://doi.org/10.5194/amt-16-5217-2023, 2023
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Atmosphere remote sensing using GNSS radio occultation provides a highly valuable basis for atmospheric and climate science. For the highest-quality demands, the Wegener Center set up a rigorous system for processing low-level measurement data. This excess-phase processing setup includes integrated quality control and uncertainty estimation. It was successfully evaluated and inter-compared, ensuring the capability of producing reliable long-term data records for climate applications.
Jingna Bai, Yidong Lou, Weixing Zhang, Yaozong Zhou, Zhenyi Zhang, Chuang Shi, and Jingnan Liu
Atmos. Meas. Tech., 16, 5249–5259, https://doi.org/10.5194/amt-16-5249-2023, https://doi.org/10.5194/amt-16-5249-2023, 2023
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Homogenized atmospheric water vapor data are an important prerequisite for climate analysis. Compared to other techniques, GPS has an inherent homogeneity advantage but requires reprocessing and homogenization to eliminate impacts of applied strategy and observation environmental changes. The low-elevation cut-off angles are suggested for the best estimates of zenith tropospheric delay (ZTD) reprocessing time series when compared to homogenized radiosonde data or ERA5 reference time series.
James Barry, Stefanie Meilinger, Klaus Pfeilsticker, Anna Herman-Czezuch, Nicola Kimiaie, Christopher Schirrmeister, Rone Yousif, Tina Buchmann, Johannes Grabenstein, Hartwig Deneke, Jonas Witthuhn, Claudia Emde, Felix Gödde, Bernhard Mayer, Leonhard Scheck, Marion Schroedter-Homscheidt, Philipp Hofbauer, and Matthias Struck
Atmos. Meas. Tech., 16, 4975–5007, https://doi.org/10.5194/amt-16-4975-2023, https://doi.org/10.5194/amt-16-4975-2023, 2023
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Measured power data from solar photovoltaic (PV) systems contain information about the state of the atmosphere. In this work, power data from PV systems in the Allgäu region in Germany were used to determine the solar irradiance at each location, using state-of-the-art simulation and modelling. The results were validated using concurrent measurements of the incoming solar radiation in each case. If applied on a wider scale, this algorithm could help improve weather and climate models.
Wan Wu, Xu Liu, Liqiao Lei, Xiaozhen Xiong, Qiguang Yang, Qing Yue, Daniel K. Zhou, and Allen M. Larar
Atmos. Meas. Tech., 16, 4807–4832, https://doi.org/10.5194/amt-16-4807-2023, https://doi.org/10.5194/amt-16-4807-2023, 2023
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We present a new operational physical retrieval algorithm that is used to retrieve atmospheric properties for each single field-of-view measurement of hyper-spectral IR sounders. The physical scheme includes a cloud-scattering calculation in its forward-simulation part. The data product generated using this algorithm has an advantage over traditional IR sounder data production algorithms in terms of improved spatial resolution and minimized error due to cloud contamination.
Zhen Li, Ad Stoffelen, Anton Verhoef, Zhixiong Wang, Jian Shang, and Honggang Yin
Atmos. Meas. Tech., 16, 4769–4783, https://doi.org/10.5194/amt-16-4769-2023, https://doi.org/10.5194/amt-16-4769-2023, 2023
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WindRAD (Wind Radar) is the first dual-frequency rotating fan-beam scatterometer in orbit. We observe non-linearity in the backscatter distribution. Therefore, higher-order calibration (HOC) is proposed, which removes the non-linearities per incidence angle. The combination of HOC and NOCant is discussed. It can remove not only the non-linearity but also the anomalous harmonic azimuth dependencies caused by the antenna rotation; hence the optimal winds can be achieved with this combination.
Marco Gabella, Martin Lainer, Daniel Wolfensberger, and Jacopo Grazioli
Atmos. Meas. Tech., 16, 4409–4422, https://doi.org/10.5194/amt-16-4409-2023, https://doi.org/10.5194/amt-16-4409-2023, 2023
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A still wind turbine observed with a fixed-pointing radar antenna has shown distinctive polarimetric signatures: the correlation coefficient between the two orthogonal polarization states was persistently equal to 1. The differential reflectivity and the radar reflectivity factors were also stable in time. Over 2 min (2000 Hz, 128 pulses were used; consequently, the sampling time was 64 ms), the standard deviation of the differential backscattering phase shift was only a few degrees.
Cited articles
Angerer, B., Ladstädter, F., Scherllin-Pirscher, B., Schwärz, M.,
Steiner, A. K., Foelsche, U., and Kirchengast, G.: Quality aspects of the
Wegener Center multi-satellite GPS radio occultation record OPSv5.6, Atmos.
Meas. Tech., 10, 4845–4863, https://doi.org/10.5194/amt-10-4845-2017, 2017. a
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. a
Anthes, R. A., Bernhardt, P. A., Chen, Y., Cucurull, L., Dymond, K. F., Ector,
D., Healy, S. B., Ho, S.-P., Hunt, D. C., Kuo, Y.-H., Liu, H., Manning, K.,
McCormick, C., Meehan, T. K., Randel, W. J., Rocken, C., Schreiner, W. S.,
Sokolovskiy, S. V., Syndergaard, S., Thompson, D. C., Trenberth, K. E., Wee,
T.-K., Yen, N. L., and Zeng, Z.: The COSMIC/FORMOSAT-3 mission:
Early results, B. Am. Meteorol. Soc., 89, 313–333,
https://doi.org/10.1175/BAMS-89-3-313, 2008. a
Bai, W., Liu, C., Meng, X., Sun, Y., Kirchengast, G., Du, Q., Wang, X., Yang,
G., Liao, M., Yang, Z., Zhao, D., Xia, J., Cai, Y., Liu, L., and Wang, D.:
Evaluation of atmospheric profiles derived from single- and zero-difference
excess phase processing of BeiDou radio occultation data from the FY-3C GNOS
mission, Atmos. Meas. Tech., 11, 819–833,
https://doi.org/10.5194/amt-11-819-2018, 2018. a
Bauer, P., Andersson, E., and Richardson, D.: The quiet revolution of numerical
weather prediction, Nature, 525, 47–55, https://doi.org/10.1038/nature14956, 2015. a
Bojinski, S., Verstraete, M., Peterson, T. C., Richter, C., Simmons, A., and
Zemp, M.: The concept of Essential Climate Variables in support of
climate research, applications, and policy, B. Am. Meteorol. Soc., 95,
1431–1443, https://doi.org/10.1175/BAMS-D-13-00047.1, 2014. a
Danzer, J., Scherllin-Pirscher, B., and Foelsche, U.: Systematic residual
ionospheric errors in radio occultation data and a potential way to minimize
them, Atmos. Meas. Tech., 6, 2169–2179,
https://doi.org/10.5194/amt-6-2169-2013, 2013. a, b, c, d
Danzer, J., Healy, S. B., and Culverwell, I. D.: A simulation study with a
new residual ionospheric error model for GPS radio occultation climatologies,
Atmos. Meas. Tech., 8, 3395–3404, https://doi.org/10.5194/amt-8-3395-2015,
2015. a, b, c
Fritzer, J., Kirchengast, G., and Pock, M.: EGOPS 5.5/SUM, End-to-End
Generic Occultation Performance Simulation and Processing System,
Version 5.5, Software User Manual, WEGC-IGAM/Uni Graz
technical report for ESA/ESTEC No. 1/2009, Doc-Id:
WEGC–EGOPS–2009–TR01, WEGC and IGAM, University of Graz, Graz, Austria,
2009. a
GCOS: Guideline for the Generation of Datasets and Products Meeting GCOS
Requirements, WMO-TD/No. 1530, WMO, Geneva, GCOS-143, update to
GCOS-128, available at:
http://www.wmo.int/pages/prog/gcos/Publications/gcos-143.pdf (last
access: 20 November 2017), 2010. a
Gorbunov, M. E.: Canonical transform method for processing radio occultation
data in the lower troposphere, Radio Sci., 37, 1076, https://doi.org/10.1029/2000RS002592,
2002a. a
Gorbunov, M. E.: Ionospheric correction and statistical optimization of radio
occultation data, Radio Sci., 37, 1084, https://doi.org/10.1029/2000RS002370,
2002b. a
Gorbunov, M. E. and Kirchengast, G.: Uncertainty propagation through wave
optics retrieval of bending angles from GPS radio occultation: Theory and
simulation results, Radio Sci., 50, RS6001, https://doi.org/10.1002/2015RS005730, 2015. a, b, c, d
Gorbunov, M. E. and Lauritsen, K. B.: Analysis of wave fields by Fourier
integral operators and their application for radio occultations, Radio Sci.,
39, RS4010, https://doi.org/10.1029/2003RS002971, 2004. a
Gorbunov, M. E., Benzon, H.-H., Jensen, A. S., Lohmann, M. S., and Nielsen,
A. S.: Comparative analysis of radio occultation processing approaches based
on Fourier integral operators, Radio Sci., 39, RS6004,
https://doi.org/10.1029/2003RS002916, 2004. a, b
Hajj, G. A., Kursinski, E. R., Romans, L. J., Bertiger, W. I., and Leroy,
S. S.: A technical description of atmospheric sounding by GPS occultation,
J. Atmos. Sol.-Terr. Phy., 64, 451–469,
https://doi.org/10.1016/S1364-6826(01)00114-6, 2002. a, b
Healy, S. B. and Culverwell, I. D.: A modification to the standard
ionospheric correction method used in GPS radio occultation, Atmos. Meas.
Tech., 8, 3385–3393, https://doi.org/10.5194/amt-8-3385-2015, 2015. a, b
Ho, S.-P., Hunt, D., Steiner, A. K., Mannucci, A. J., Kirchengast, G.,
Gleisner, H., Heise, S., von Engeln, A., Marquardt, C., Sokolovskiy, S.,
Schreiner, W., Scherllin-Pirscher, B., Ao, C., Wickert, J., Syndergaard, S.,
Lauritsen, K., Leroy, S., Kursinski, E. R., Kuo, Y.-H., Foelsche, U.,
Schmidt, T., and Gorbunov, M.: Reproducibility of GPS radio occultation
data for climate monitoring: Profile-to-profile inter-comparison of CHAMP
climate records 2002 to 2008 from six data centers, J. Geophys. Res., 117,
D18111, https://doi.org/10.1029/2012JD017665, 2012. a, b
Innerkofler, J., Pock, C., Kirchengast, G., Schwärz, M., Jäggi, A.,
Andres, Y., Marquardt, C., and Schwarz, J.: GNSS radio occultation
zero-differencing excess phase processing with integrated uncertainty
estimation for climate applications, presentation at COSMIC-IROWG
International Workshop, 21–27 September 2017, Estes Park, Colorado
USA, available at:
https://cpaess.ucar.edu/sites/default/files/meetings/2017/cosmic/posters/innerkofler-josef-poster.pdf (last access: 23 April 2018), 2017. a, b, c, d, e
JCGM: Evaluation of Measurement Data – Guide to the Expression of
Uncertainty in Measurement, Rep. JCGM 100:2008, Joint Committee for
Guides in Metrology, Office BIPM, Paris, France, 2008a. a
JCGM: Evaluation of Measurement Data – Supplement 1 to the “Guide to the
Expression of Uncertainty in Measurement” – Propagation of distributions
using a Monte Carlo method, Rep. JCGM 101:2008, Joint Committee for
Guides in Metrology, Office BIPM, Paris, France, 2008b. a
JCGM: International Vocabulary of Metrology – Basic and General Concepts and
Associated Terms (VIM 3rd edition), Rep. JCGM 200:2012, Joint Committee
for Guides in Metrology, Office BIPM, Paris, France, 2012. a
Karl, T. R., Derr, V. E., Easterling, D. R., Folland, C. K., Hofmann, D. J.,
Levitus, S., Nicholls, N., Parker, D. E., and Withee, G. W.: Critical issues
for long-term climate monitoring, Clim. Change, 31, 185–221,
https://doi.org/10.1007/BF01095146, 1995. a
Kirchengast, G., Schwärz, M., Schwarz, J., Scherllin-Pirscher, B., Pock,
C., and Innerkofler, J.: Reference Occultation Processing System (rOPS) for
cal/val and climate: a new GNSS RO retrieval chain with integrated
uncertainty propagation, Presentation at the IROWG-4 international
workshop, 16–22 April 2015, Bureau of Meteorology, Melbourne, Australia,
available at:
http://irowg.org/wpcms/wp-content/uploads/2014/05/Kirchengast-IROWG-4.pdf (last
access: 20 November 2017), 2015. a
Kirchengast, G., Schwärz, M., Schwarz, J., Scherllin-Pirscher, B., Pock,
C., Innerkofler, J., Proschek, V., Steiner, A. K., Danzer, J.,
Ladstädter, F., and Foelsche, U.: Employing GNSS radio occultation for
solving the global climate monitoring problem for the fundamental state of
the atmosphere, Presentation at the EGU 2016 General Assembly,
17–22 April 2016, Vienna, Austria, Geophys. Res. Abstracts, 18,
EGU2016-12035-1, available at:
http://meetingorganizer.copernicus.org/EGU2016/EGU2016-12035-1.pdf
(last access: 20 November 2017), 2016a. a, b, c, d
Kirchengast, G., Schwärz, M., Schwarz, J., Scherllin-Pirscher, B., Pock,
C., Innerkofler, J., Proschek, V., Steiner, A. K., Danzer, J.,
Ladstädter, F., and Foelsche, U.: The reference occultation processing
system approach to interpret GNSS radio occultation as SI-traceable
planetary system refractometer, presentation at OPAC-IROWG
International Workshop 8–14 September 2016, Seggau/Leibnitz,
Austria, available at:
http://wegcwww.uni-graz.at/opacirowg2016/data/public/files/opacirowg2016_Gottfried_Kirchengast_presentation_261.pdf (last
access: 20 November 2017), 2016b. a, b
Kirchengast, G., Li, Y., Scherllin-Pirscher, B., Schwärz, M., Schwarz, J.,
and Nielsen, J. K.: A new retrieval algorithm for tropospheric temperature,
humidity and pressure profiling based on GNSS radio occultation data,
Presentation at the EGU 2017 General Assembly, 23–28 April 2017, Vienna, Austria,
Geophys. Res. Abstracts, 19, EGU2017-16328-2 available online at
http://meetingorganizer.copernicus.org/EGU2017/EGU2017-16328-2.pdf (last access: 23 April 2018), 2017a. a
Kirchengast, G., Schwärz, M., Schwarz, J., Ramsauer, J., Fritzer, J.,
Scherllin-Pirscher, B., Innerkofler, J., Proschek, V., Rieckh, T., and
Danzer, J.: Reference OPS DAD – Reference Occultation Processing
System (rOPS) Detailed Algorithm Description, Tech. Rep. for
ESA and FFG No. 1/2017, Doc-Id: WEGC–rOPS–2017–TR01,
Issue 1.7, Wegener Center, Univ. of Graz, Graz, Austria, 2017b. a, b, c, d
Kuo, Y.-H., Wee, T.-K., Sokolovskiy, S., Rocken, C., Schreiner, W., Hunt, D.,
and Anthes, R. A.: Inversion and error estimation of GPS radio occultation
data, J. R. Stat. Soc., 82, 507–531, 2004. a
Leroy, S. S., Dykema, J. A., and Anderson, J. G.: Climate benchmarking using
GNSS occultation, in: Atmosphere and Climate: Studies by Occultation
Methods, edited by: Foelsche, U., Kirchengast, G., and Steiner, A. K.,
287–301, Springer, Berlin Heidelberg, Germany, 2006. a
Li, Y., Kirchengast, G., Scherllin-Pirscher, B., Wu, S., Schwaerz, M., Fritzer,
J., Zhang, S., Carter, B. A., and Zhang, K.: A new dynamic approach for
statistical optimization of GNSS radio occultation bending angles for
optimal climate monitoring utility, J. Geophys. Res.-Atmos., 118,
13022–13040, https://doi.org/10.1002/2013JD020763, 2013. a
Li, Y., Kirchengast, G., Scherllin-Pirscher, B., Norman, R., Yuan, Y. B.,
Fritzer, J., Schwaerz, M., and Zhang, K.: Dynamic statistical optimization of
GNSS radio occultation bending angles: advanced algorithm and performance
analysis, Atmos. Meas. Tech., 8, 3447–3465,
https://doi.org/10.5194/amt-8-3447-2015, 2015. a, b
Li, Y., Kirchengast, G., Scherllin-Pirscher, B., Schwärz, M., Nielsen,
J. K., Wee, T.-K., Ho, S.-P., and Yuan, Y.-B.: A new algorithm for the
retrieval of atmospheric profiles from GNSS radio occultation data in moist
air and cross-evaluation among processing centers, J. Geophys. Res.-Atmos,
submitted, 2018. a
Liao, M., Zhang, P., Yang, G.-L., Bi, Y.-M., Liu, Y., Bai, W.-H., Meng,
X.-G., Du, Q.-F., and Sun, Y.-Q.: Preliminary validation of the refractivity
from the new radio occultation sounder GNOS/FY-3C, Atmos. Meas. Tech., 9,
781–792, https://doi.org/10.5194/amt-9-781-2016, 2016. a
Liu, C.-L., Kirchengast, G., Zhang, K., Norman, R., Li, Y., Zhang, S. C.,
Carter, B., Fritzer, J., Schwaerz, M., Choy, S. L., Wu, S. Q., and Tan,
Z. X.: Characterisation of residual ionospheric errors in bending angles
using GNSS RO end-to-end simulations, Adv. Space Res., 52, 821–836,
https://doi.org/10.1016/j.asr.2013.05.021, 2013. a, b
Liu, C. L., Kirchengast, G., Zhang, K., Norman, R., Li, Y., Zhang, S. C.,
Fritzer, J., Schwaerz, M., Wu, S. Q., and Tan, Z. X.: Quantifying residual
ionospheric errors in GNSS radio occultation bending angles based on
ensembles of profiles from end-to-end simulations, Atmos. Meas. Tech., 8,
2999–3019, https://doi.org/10.5194/amt-8-2999-2015, 2015. a, b, c, d
Luntama, J.-P., Kirchengast, G., Borsche, M., Foelsche, U., Steiner, A., Healy,
S. B., von Engeln, A., O'Clerigh, E., and Marquardt, C.: Prospects of the
EPS GRAS mission for operational atmospheric applications, B. Am.
Meteorol. Soc., 89, 1863–1875, https://doi.org/10.1175/2008BAMS2399.1, 2008. a, b, c
Montenbruck, O., Garcia-Fernandez, M., Yoon, Y., Schön, S., and Jäggi,
A.: Antenna phase center calibration for precise positioning of LEO
satellites, GPS Solut., 13, 23–34, https://doi.org/10.1007/s10291-008-0094-z, 2009. a
NRC: Earth Science and Applications from Space: National Imperatives for the
Next Decade and Beyond (Decadal Survey), The National Academies Press,
Washington, D.C., https://doi.org/10.17226/11820, 2007. a
Rieder, M. J. and Kirchengast, G.: Error analysis and characterization of
atmospheric profiles retrieved from GNSS occultation data, J. Geophys.
Res., 106, 31755–31770, 2001. a
Scherllin-Pirscher, B., Kirchengast, G., Steiner, A. K., Kuo, Y.-H., and
Foelsche, U.: Quantifying uncertainty in climatological fields from GPS radio
occultation: an empirical-analytical error model, Atmos. Meas. Tech., 4,
2019–2034, https://doi.org/10.5194/amt-4-2019-2011, 2011a. a, b
Scherllin-Pirscher, B., Steiner, A. K., Kirchengast, G., Kuo, Y.-H., and
Foelsche, U.: Empirical analysis and modeling of errors of atmospheric
profiles from GPS radio occultation, Atmos. Meas. Tech., 4, 1875–1890,
https://doi.org/10.5194/amt-4-1875-2011, 2011b. a, b, c
Scherllin-Pirscher, B., Steiner, A. K., Kirchengast, G., Schwaerz, M., and
Leroy, S. S.: The power of vertical geolocation of atmospheric profiles from
GNSS radio occultation, J. Geophys. Res.-Atmos., 122, 1595–1616,
https://doi.org/10.1002/2016JD025902, 2017. a, b, c
Schreiner, W. S., Rocken, C., Sokolovskiy, S., and Hunt, D.: Quality assessment
of COSMIC/FORMOSAT-3 GPS radio occultation data derived from single- and
double-difference atmospheric excess phase processing, GPS Solut., 14,
13–22, https://doi.org/10.1007/s10291-009-0132-5, 2010. a
Schwarz, J. C., Kirchengast, G., and Schwaerz, M.: Integrating uncertainty
propagation in GNSS radio occultation retrieval: from bending angle to
dry-air atmospheric profiles, Earth Space Sci., 4, 200–228,
https://doi.org/10.1002/2016EA000234, 2017. a, b
Steiner, A. K. and Kirchengast, G.: Error analysis of GNSS radio occultation
data based on ensembles of profiles from end-to-end simulations, J. Geophys.
Res., 110, D15307, https://doi.org/10.1029/2004JD005251, 2005. a
Steiner, A. K., Lackner, B. C., Ladstädter, F., Scherllin-Pirscher, B.,
Foelsche, U., and Kirchengast, G.: GPS radio occultation for climate
monitoring and change detection, Radio Sci., 46, RS0D24,
https://doi.org/10.1029/2010RS004614, 2011. a
Steiner, A. K., Hunt, D., Ho, S.-P., Kirchengast, G., Mannucci, A. J.,
Scherllin-Pirscher, B., Gleisner, H., von Engeln, A., Schmidt, T., Ao, C.,
Leroy, S. S., Kursinski, E. R., Foelsche, U., Gorbunov, M., Heise, S., Kuo,
Y.-H., Lauritsen, K. B., Marquardt, C., Rocken, C., Schreiner, W.,
Sokolovskiy, S., Syndergaard, S., and Wickert, J.: Quantification of
structural uncertainty in climate data records from GPS radio occultation,
Atmos. Chem. Phys., 13, 1469–1484, https://doi.org/10.5194/acp-13-1469-2013,
2013. a, b
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, https://doi.org/10.1016/S1364-6826(97)00056-4,
1998. a
Untch, A., Miller, M., Hortal, M., Buizza, R., and Janssen, P.: Towards a
global meso-scale model: The high-resolution system T799L91 and T399L62
EPS, ECMWF Newsletter, 108, 6–13, 2006. a
Vorob'ev, V. V. and Krasil'nikova, T. G.: Estimation of the accuracy of the
atmospheric refractive index recovery from Doppler shift measurements at
frequencies used in the NAVSTAR system, Izv. Atmos. Ocean. Phy.+, 29,
602–609, 1994. a
Wickert, J., Reigber, C., Beyerle, G., König, R., Marquardt, C., Schmidt,
T., Grunwaldt, L., Galas, R., Meehan, T., Melbourne, W., and Hocke, K.:
Atmosphere sounding by GPS radio occultation: First results from CHAMP,
Geophys. Res. Lett., 28, 3263–3266, 2001. a
Short summary
We process global navigation satellite system radio occultation (RO) observations in a new way with integrated uncertainty propagation; in this study we focus on retrieving atmospheric bending angles from RO excess phase profiles. We find that this new approach within our novel Reference Occultation Processing System (rOPS) exploits the strengths of RO such as its high accuracy and long-term stability in a reliable manner for global climate monitoring and other weather and climate uses.
We process global navigation satellite system radio occultation (RO) observations in a new way...
