Articles | Volume 9, issue 2
https://doi.org/10.5194/amt-9-781-2016
© Author(s) 2016. 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-9-781-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Mar 2016
Research article |
| 02 Mar 2016
Preliminary validation of the refractivity from the new radio occultation sounder GNOS/FY-3C
Mi Liao
Nanjing University of Information Science & Technology, Nanjing,
China
Chinese Academy of Meteorological Sciences, Beijing, China
National Satellite Meteorological Center, Beijing, China
National Satellite Meteorological Center, Beijing, China
Guang-Lin Yang
National Satellite Meteorological Center, Beijing, China
Yan-Meng Bi
National Satellite Meteorological Center, Beijing, China
Yan Liu
Chinese Academy of Meteorological Sciences, Beijing, China
Wei-Hua Bai
Center for Space Science and Applied Research, Beijing, China
Xiang-Guang Meng
Center for Space Science and Applied Research, Beijing, China
Qi-Fei Du
Center for Space Science and Applied Research, Beijing, China
Yue-Qiang Sun
Center for Space Science and Applied Research, Beijing, China
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Mi Liao, Sean Healy, and Peng Zhang
Atmos. Meas. Tech., 12, 2679–2692, https://doi.org/10.5194/amt-12-2679-2019, https://doi.org/10.5194/amt-12-2679-2019, 2019
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This paper describes a new method for improving the data of the Chinese radio occultation sounder, GNOS, which has large biases. The new method can effectively eliminate about 90 % of the large departures. In addition, this paper also describes the quality control (QC) for the GNOS data. The GNOS data with the new L2 extrapolation are suitable for assimilation into numerical weather prediction systems.
Weihua Bai, Congliang Liu, Xiangguang Meng, Yueqiang Sun, Gottfried Kirchengast, Qifei Du, Xianyi Wang, Guanglin Yang, Mi Liao, Zhongdong Yang, Danyang Zhao, Junming Xia, Yuerong Cai, Lijun Liu, and Dongwei Wang
Atmos. Meas. Tech., 11, 819–833, https://doi.org/10.5194/amt-11-819-2018, https://doi.org/10.5194/amt-11-819-2018, 2018
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In this study we focus on evaluating zero-difference processing of BDS RO data vs. single-difference processing. From the statistics, average bias (and standard deviation) of the bending angle and refractivity profiles were found to be as small as about 0.05–0.2 % (and 0.7–1.6 %) over the upper troposphere and lower stratosphere, including for the GEO, IGSO, and MEO subsets. Zero differencing was found to perform slightly better, as may be expected from its lower vulnerability to noise.
Zhenhao Wu, Yunfei Fu, Peng Zhang, Songyan Gu, and Lin Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-532, https://doi.org/10.5194/essd-2023-532, 2024
Preprint under review for ESSD
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We establish a new rain cell precipitation parameter and visible infrared and microwave signal dataset combining with the multi-instrument observation data on the Tropical Rainfall Measuring Mission (TRMM). The purpose of this dataset is to promote the three-dimensional study of rain cell precipitation system, and reveal the spatial and temporal variations of the scale morphology and intensity of the system.
Ying Chen, Ruibo Lei, Xi Zhao, Shengli Wu, Yue Liu, Pei Fan, Qing Ji, Peng Zhang, and Xiaoping Pang
Earth Syst. Sci. Data, 15, 3223–3242, https://doi.org/10.5194/essd-15-3223-2023, https://doi.org/10.5194/essd-15-3223-2023, 2023
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The sea ice concentration product derived from the Microwave Radiation Image sensors on board the FengYun-3 satellites can reasonably and independently identify the seasonal and long-term changes of sea ice, as well as extreme cases of annual maximum and minimum sea ice extent in polar regions. It is comparable with other sea ice concentration products and applied to the studies of climate and marine environment.
Yungang Wang, Liping Fu, Fang Jiang, Xiuqing Hu, Chengbao Liu, Xiaoxin Zhang, Jiawei Li, Zhipeng Ren, Fei He, Lingfeng Sun, Ling Sun, Zhongdong Yang, Peng Zhang, Jingsong Wang, and Tian Mao
Atmos. Meas. Tech., 15, 1577–1586, https://doi.org/10.5194/amt-15-1577-2022, https://doi.org/10.5194/amt-15-1577-2022, 2022
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Far-ultraviolet (FUV) airglow radiation is particularly well suited for space-based remote sensing. The Ionospheric Photometer (IPM) instrument carried aboard the Feng Yun 3-D satellite measures the spectral radiance of the Earth FUV airglow. IPM is a tiny, highly sensitive, and robust remote sensing instrument. Initial results demonstrate that the performance of IPM meets the designed requirement and therefore can be used to study the thermosphere and ionosphere in the future.
Lin Tian, Lin Chen, Peng Zhang, and Lei Bi
Atmos. Chem. Phys., 21, 11669–11687, https://doi.org/10.5194/acp-21-11669-2021, https://doi.org/10.5194/acp-21-11669-2021, 2021
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The result shows dust aerosols from the Taklimakan Desert have higher aerosol scattering during dust storm cases of this paper, and this caused higher negative direct radiative forcing efficiency (DRFEdust) than aerosols from the Sahara.
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Mi Liao, Sean Healy, and Peng Zhang
Atmos. Meas. Tech., 12, 2679–2692, https://doi.org/10.5194/amt-12-2679-2019, https://doi.org/10.5194/amt-12-2679-2019, 2019
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This paper describes a new method for improving the data of the Chinese radio occultation sounder, GNOS, which has large biases. The new method can effectively eliminate about 90 % of the large departures. In addition, this paper also describes the quality control (QC) for the GNOS data. The GNOS data with the new L2 extrapolation are suitable for assimilation into numerical weather prediction systems.
Weihua Bai, Guojun Wang, Yueqiang Sun, Jiankui Shi, Guanglin Yang, Xiangguang Meng, Dongwei Wang, Qifei Du, Xianyi Wang, Junming Xia, Yuerong Cai, Congliang Liu, Wei Li, Chunjun Wu, Danyang Zhao, Di Wu, and Cheng Liu
Atmos. Meas. Tech., 12, 1483–1493, https://doi.org/10.5194/amt-12-1483-2019, https://doi.org/10.5194/amt-12-1483-2019, 2019
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This study reports on the application of the FY3-C GNSS occultation sounder (GNOS) for assessing the global ionospheric response to magnetic storm events. We use the March 2015 magnetic storm event to demonstrate the reliability of NmF2 data derived from the instrument through comparisons with ground-based ionosonde observations. The analysis demonstrates the reliability of the GNSS radio occultation sounding instrument GNOS aboard the FY3-C satellite and validates its ionosphere products.
Yueqiang Sun, Weihua Bai, Congliang Liu, Yan Liu, Qifei Du, Xianyi Wang, Guanglin Yang, Mi Liao, Zhongdong Yang, Xiaoxin Zhang, Xiangguang Meng, Danyang Zhao, Junming Xia, Yuerong Cai, and Gottfried Kirchengast
Atmos. Meas. Tech., 11, 5797–5811, https://doi.org/10.5194/amt-11-5797-2018, https://doi.org/10.5194/amt-11-5797-2018, 2018
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The GNSS Occultation Sounder (GNOS) is one of the new-generation payloads on board the Chinese FengYun 3 (FY-3) series of operational meteorological satellites for sounding the Earth’s neutral atmosphere and ionosphere. FY-3C GNOS, on board the FY-3 series C satellite launched in September 2013, was designed to acquire setting and rising radio occultation (RO) data by using GNSS signals from both the Chinese BDS and the US GPS. This paper reviews the FY-3C GNOS mission.
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.
Weihua Bai, Congliang Liu, Xiangguang Meng, Yueqiang Sun, Gottfried Kirchengast, Qifei Du, Xianyi Wang, Guanglin Yang, Mi Liao, Zhongdong Yang, Danyang Zhao, Junming Xia, Yuerong Cai, Lijun Liu, and Dongwei Wang
Atmos. Meas. Tech., 11, 819–833, https://doi.org/10.5194/amt-11-819-2018, https://doi.org/10.5194/amt-11-819-2018, 2018
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In this study we focus on evaluating zero-difference processing of BDS RO data vs. single-difference processing. From the statistics, average bias (and standard deviation) of the bending angle and refractivity profiles were found to be as small as about 0.05–0.2 % (and 0.7–1.6 %) over the upper troposphere and lower stratosphere, including for the GEO, IGSO, and MEO subsets. Zero differencing was found to perform slightly better, as may be expected from its lower vulnerability to noise.
Y. Liu and J. Xue
Atmos. Meas. Tech., 7, 3935–3946, https://doi.org/10.5194/amt-7-3935-2014, https://doi.org/10.5194/amt-7-3935-2014, 2014
Y. Liu and N. Tang
Atmos. Meas. Tech., 7, 3909–3916, https://doi.org/10.5194/amt-7-3909-2014, https://doi.org/10.5194/amt-7-3909-2014, 2014
W. H. Bai, Y. Q. Sun, Q. F. Du, G. L. Yang, Z. D. Yang, P. Zhang, Y. M. Bi, X. Y. Wang, C. Cheng, and Y. Han
Atmos. Meas. Tech., 7, 1817–1823, https://doi.org/10.5194/amt-7-1817-2014, https://doi.org/10.5194/amt-7-1817-2014, 2014
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Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Validation and Intercomparisons
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Hubert Luce, Lakshmi Kantha, and Hiroyuki Hashiguchi
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The potential ability of clear air radars to measure turbulence kinetic energy (TKE) dissipation rate ε in the atmosphere is a major asset of these instruments because of their continuous measurements. In the present work, we successfully tested the relevance of a model relating ε to the width of the Doppler spectrum peak and wind shear for shear-generated turbulence and we provide a physical interpretation of an empirical model in this context.
Sheila Kirkwood, Evgenia Belova, Peter Voelger, Sourav Chatterjee, and Karathazhiyath Satheesan
Atmos. Meas. Tech., 16, 4215–4227, https://doi.org/10.5194/amt-16-4215-2023, https://doi.org/10.5194/amt-16-4215-2023, 2023
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We compared 2 years of wind measurements by the Aeolus satellite with winds from two wind-profiler radars in Arctic Sweden and coastal Antarctica. Biases are similar in magnitude to results from other locations. They are smaller than in earlier studies due to more comparison points and improved criteria for data rejection. On the other hand, the standard deviation is somewhat higher because of degradation of the Aeolus lidar.
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Aeolus is a satellite equipped with a Doppler wind lidar to detect global wind profiles. This study evaluates the impact of Aeolus winds on surface wind forecasts over tropical oceans and high-latitude regions based on the ECMWF observing system experiments. We find that Aeolus can slightly improve surface wind forecasts for the region > 60° N, especially from day 5 onwards. For other study regions, the impact of Aeolus is nearly neutral or limited, which requires further investigation.
Holger Baars, Joshua Walchester, Elizaveta Basharova, Henriette Gebauer, Martin Radenz, Johannes Bühl, Boris Barja, Ulla Wandinger, and Patric Seifert
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In 2018, the Aeolus satellite of the European Space Agency (ESA) was launched to improve weather forecasts through global measurements of wind profiles. Given the novel lidar technique onboard, extensive validation efforts have been needed to verify the observations. For this reason, we performed long-term validation measurements in Germany and Chile. We found significant improvement in the data products due to a new algorithm version and can confirm the general validity of Aeolus observations.
Hubert Luce, Lakshmi Kantha, Hiroyuki Hashiguchi, Dale Lawrence, Abhiram Doddi, Tyler Mixa, and Masanori Yabuki
Atmos. Meas. Tech., 16, 3561–3580, https://doi.org/10.5194/amt-16-3561-2023, https://doi.org/10.5194/amt-16-3561-2023, 2023
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Doppler radars can be used to estimate turbulence kinetic energy dissipation rates in the atmosphere. The performance of various models is evaluated from comparisons between UHF wind profiler and in situ measurements with UAVs. For the first time, we assess a model supposed to be valid for weak stratification or strong shear conditions. This model provides better agreements with in situ measurements than the classical model based on the hypothesis of a stable stratification.
Chengfeng Feng and Zhaoxia Pu
Atmos. Meas. Tech., 16, 2691–2708, https://doi.org/10.5194/amt-16-2691-2023, https://doi.org/10.5194/amt-16-2691-2023, 2023
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This study demonstrates the positive impacts of assimilating Aeolus Mie-cloudy and Rayleigh-clear near-real-time horizontal line-of-sight winds on the analysis and forecasts of Hurricane Ida (2021) and a mesoscale convective system associated with an African easterly wave using the mesoscale community Weather Research and Forecasting model and the NCEP Gridpoint Statistical Interpolation-based three-dimensional ensemble-variational hybrid data assimilation system.
Tim Trent, Richard Siddans, Brian Kerridge, Marc Schröder, Noëlle A. Scott, and John Remedios
Atmos. Meas. Tech., 16, 1503–1526, https://doi.org/10.5194/amt-16-1503-2023, https://doi.org/10.5194/amt-16-1503-2023, 2023
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Modern weather satellites provide essential information on our lower atmosphere's moisture content and temperature structure. This measurement record will span over 40 years, making it a valuable resource for climate studies. This study characterizes atmospheric temperature and humidity profiles from a European Space Agency climate project. Using weather balloon measurements, we demonstrated the performance of this dataset was within the tolerances required for future climate studies.
Benjamin Witschas, Christian Lemmerz, Alexander Geiß, Oliver Lux, Uwe Marksteiner, Stephan Rahm, Oliver Reitebuch, Andreas Schäfler, and Fabian Weiler
Atmos. Meas. Tech., 15, 7049–7070, https://doi.org/10.5194/amt-15-7049-2022, https://doi.org/10.5194/amt-15-7049-2022, 2022
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In August 2018, the first wind lidar Aeolus was launched into space and has since then been providing data of the global wind field. The primary goal of Aeolus was the improvement of numerical weather prediction. To verify the quality of Aeolus wind data, DLR performed four airborne validation campaigns with two wind lidar systems. In this paper, we report on results from the two later campaigns, performed in Iceland and the tropics.
Olivier Bock, Pierre Bosser, and Carl Mears
Atmos. Meas. Tech., 15, 5643–5665, https://doi.org/10.5194/amt-15-5643-2022, https://doi.org/10.5194/amt-15-5643-2022, 2022
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Integrated water vapour measurements are often compared for the calibration and validation of instruments or techniques. Measurements made at different altitudes must be corrected to account for the vertical variation of water vapour. This paper shows that the widely used empirical correction model has severe limitations that are overcome using the proposed model. The method is applied to the inter-comparison of GPS and satellite microwave radiometer data in a tropical mountainous area.
Anthony J. Mannucci, Chi O. Ao, Byron A. Iijima, Thomas K. Meehan, Panagiotis Vergados, E. Robert Kursinski, and William S. Schreiner
Atmos. Meas. Tech., 15, 4971–4987, https://doi.org/10.5194/amt-15-4971-2022, https://doi.org/10.5194/amt-15-4971-2022, 2022
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The Global Positioning System (GPS) radio occultation (RO) technique is a satellite-based method for producing highly accurate vertical profiles of atmospheric temperature and pressure. RO profiles are used to monitor global climate trends, particularly in that region of the atmosphere that includes the lower stratosphere. Two data sets spanning 1995–1997 that were produced from the first RO satellite are highly accurate and can be used to assess global atmospheric models.
Ze Chen, Yufang Tian, Yinan Wang, Yongheng Bi, Xue Wu, Juan Huo, Linjun Pan, Yong Wang, and Daren Lü
Atmos. Meas. Tech., 15, 4785–4800, https://doi.org/10.5194/amt-15-4785-2022, https://doi.org/10.5194/amt-15-4785-2022, 2022
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Small-scale turbulence plays a vital role in the vertical exchange of heat, momentum and mass in the atmosphere. There are currently three models that can use spectrum width data of MST radar to calculate turbulence parameters. However, few studies have explored the applicability of the three calculation models. We compared and analysed the turbulence parameters calculated by three models. These results can provide a reference for the selection of models for calculating turbulence parameters.
Damao Zhang, Jennifer Comstock, and Victor Morris
Atmos. Meas. Tech., 15, 4735–4749, https://doi.org/10.5194/amt-15-4735-2022, https://doi.org/10.5194/amt-15-4735-2022, 2022
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The planetary boundary layer is the lowest part of the atmosphere. Its structure and depth (PBLHT) significantly impact air quality, global climate, land–atmosphere interactions, and a wide range of atmospheric processes. To test the robustness of the ceilometer-estimated PBLHT under different atmospheric conditions, we compared ceilometer- and radiosonde-estimated PBLHTs using multiple years of U.S. DOE ARM measurements at various ARM observatories located around the world.
Rachel Robey and Julie K. Lundquist
Atmos. Meas. Tech., 15, 4585–4622, https://doi.org/10.5194/amt-15-4585-2022, https://doi.org/10.5194/amt-15-4585-2022, 2022
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Our work investigates the behavior of errors in remote-sensing wind lidar measurements due to turbulence. Using a virtual instrument, we measured winds in simulated atmospheric flows and decomposed the resulting error. Dominant error mechanisms, particularly vertical velocity variations and interactions with shear, were identified in ensemble data over three test cases. By analyzing the underlying mechanisms, the response of the error behavior to further varying flow conditions may be projected.
Donato Summa, Fabio Madonna, Noemi Franco, Benedetto De Rosa, and Paolo Di Girolamo
Atmos. Meas. Tech., 15, 4153–4170, https://doi.org/10.5194/amt-15-4153-2022, https://doi.org/10.5194/amt-15-4153-2022, 2022
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The evolution of the atmospheric boundary layer height (ABLH) has an important impact on meteorology. However, the complexity of the phenomena occurring within the ABL and the influence of advection and local accumulation processes often prevent an unambiguous determination of the ABLH. The paper reports results from an inter-comparison effort involving different sensors and techniques to measure the ABLH. Correlations between the ABLH and other atmospheric variables are also assessed.
Haichen Zuo, Charlotte Bay Hasager, Ioanna Karagali, Ad Stoffelen, Gert-Jan Marseille, and Jos de Kloe
Atmos. Meas. Tech., 15, 4107–4124, https://doi.org/10.5194/amt-15-4107-2022, https://doi.org/10.5194/amt-15-4107-2022, 2022
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The Aeolus satellite was launched in 2018 for global wind profile measurement. After successful operation, the error characteristics of Aeolus wind products have not yet been studied over Australia. To complement earlier validation studies, we evaluated the Aeolus Level-2B11 wind product over Australia with ground-based wind profiling radar measurements and numerical weather prediction model equivalents. The results show that the Aeolus can detect winds with sufficient accuracy over Australia.
Carmen González, José M. Vilaplana, José A. Bogeat, and Antonio Serrano
Atmos. Meas. Tech., 15, 4125–4133, https://doi.org/10.5194/amt-15-4125-2022, https://doi.org/10.5194/amt-15-4125-2022, 2022
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Monitoring ultraviolet (UV) radiation is important since it can have harmful effects on the biosphere. Array spectroradiometers are increasingly used to measure UV as they are more versatile than scanning spectroradiometers. In this study, the long-term performance of the BTS-2048-UV-S-WP array spectroradiometer was assessed. The results show that the BTS can reliably measure both the UV index and UV radiation in the 300–360 nm range. Moreover, the BTS was stable and showed no seasonal behavior.
Charlotte Rahlves, Frank Beyrich, and Siegfried Raasch
Atmos. Meas. Tech., 15, 2839–2856, https://doi.org/10.5194/amt-15-2839-2022, https://doi.org/10.5194/amt-15-2839-2022, 2022
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Lidars can measure the wind profile in the lower part of the atmosphere, provided that the wind field is horizontally uniform and does not change during the time of the measurement. These requirements are mostly not fulfilled in reality, and the lidar wind measurement will thus hold a certain error. We investigate different strategies for lidar wind profiling using a lidar simulator implemented in a numerical simulation of the wind field. Our findings can help to improve wind measurements.
Katherine E. Lukens, Kayo Ide, Kevin Garrett, Hui Liu, David Santek, Brett Hoover, and Ross N. Hoffman
Atmos. Meas. Tech., 15, 2719–2743, https://doi.org/10.5194/amt-15-2719-2022, https://doi.org/10.5194/amt-15-2719-2022, 2022
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Winds that are crucial to weather forecasting derived from two different techniques – tracking satellite images (AMVs) and direct measurement of molecular and aerosol motions by Doppler lidar (Aeolus satellite winds) – are compared. We find that AMVs and Aeolus winds are highly correlated. Aeolus Mie-cloudy winds have great potential value as a comparison standard for AMVs. Larger differences are found in the Southern Hemisphere related to higher wind speed and higher vertical variation in wind.
Marijn Floris van Dooren, Anantha Padmanabhan Kidambi Sekar, Lars Neuhaus, Torben Mikkelsen, Michael Hölling, and Martin Kühn
Atmos. Meas. Tech., 15, 1355–1372, https://doi.org/10.5194/amt-15-1355-2022, https://doi.org/10.5194/amt-15-1355-2022, 2022
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The remote sensing technique lidar is widely used for wind speed measurements for both industrial and academic applications. Lidars can measure wind statistics accurately but cannot fully capture turbulent fluctuations in the high-frequency range, since they are partly filtered out. This paper therefore investigates the turbulence spectrum measured by a continuous-wave lidar and analytically models the lidar's measured spectrum with a Lorentzian filter function and a white noise term.
Alain Protat, Valentin Louf, Joshua Soderholm, Jordan Brook, and William Ponsonby
Atmos. Meas. Tech., 15, 915–926, https://doi.org/10.5194/amt-15-915-2022, https://doi.org/10.5194/amt-15-915-2022, 2022
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This study uses collocated ship-based, ground-based, and spaceborne radar observations to validate the concept of using the GPM spaceborne radar observations to calibrate national weather radar networks to the accuracy required for operational severe weather applications such as rainfall and hail nowcasting.
Wagner Wolff, Aart Overeem, Hidde Leijnse, and Remko Uijlenhoet
Atmos. Meas. Tech., 15, 485–502, https://doi.org/10.5194/amt-15-485-2022, https://doi.org/10.5194/amt-15-485-2022, 2022
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The existing infrastructure for cellular communication is promising for ground-based rainfall remote sensing. Rain-induced signal attenuation is used in dedicated algorithms for retrieving rainfall depth along commercial microwave links (CMLs) between cell phone towers. This processing is a source of many uncertainties about input data, algorithm structures, parameters, CML network, and local climate. Application of a stochastic optimization method leads to improved CML rainfall estimates.
Songhua Wu, Kangwen Sun, Guangyao Dai, Xiaoye Wang, Xiaoying Liu, Bingyi Liu, Xiaoquan Song, Oliver Reitebuch, Rongzhong Li, Jiaping Yin, and Xitao Wang
Atmos. Meas. Tech., 15, 131–148, https://doi.org/10.5194/amt-15-131-2022, https://doi.org/10.5194/amt-15-131-2022, 2022
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During the VAL-OUC campaign, we established a coherent Doppler lidar (CDL) network over China to verify the Level 2B (L2B) products from Aeolus. By the simultaneous wind measurements with CDLs at 17 stations, the L2B products from Aeolus are compared with those from CDLs. To our knowledge, the VAL-OUC campaign is the most extensive so far between CDLs and Aeolus in the lower troposphere for different atmospheric scenes. The vertical velocity impact on the HLOS retrieval from Aeolus is evaluated.
Karina Wilgan, Galina Dick, Florian Zus, and Jens Wickert
Atmos. Meas. Tech., 15, 21–39, https://doi.org/10.5194/amt-15-21-2022, https://doi.org/10.5194/amt-15-21-2022, 2022
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The assimilation of GNSS data in weather models has a positive impact on the forecasts. The impact is still limited due to using only the GPS zenith direction parameters. We calculate and validate more advanced tropospheric products from three satellite systems: the US American GPS, Russian GLONASS and European Galileo. The quality of all the solutions is comparable; however, combining more GNSS systems enhances the observations' geometry and improves the quality of the weather forecasts.
Hironori Iwai, Makoto Aoki, Mitsuru Oshiro, and Shoken Ishii
Atmos. Meas. Tech., 14, 7255–7275, https://doi.org/10.5194/amt-14-7255-2021, https://doi.org/10.5194/amt-14-7255-2021, 2021
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The first space-based Doppler wind lidar on board the Aeolus satellite was launched on 22 August 2018 to obtain global horizontal wind profiles. In this study, wind profilers, ground-based coherent Doppler wind lidars, and GPS radiosondes were used to validate the quality of Aeolus Level 2B wind products over Japan during three different periods. The results show that Aeolus can measure the horizontal winds over Japan accurately.
Tim A. van Kempen, Filippo Oggionni, and Richard M. van Hees
Atmos. Meas. Tech., 14, 6711–6722, https://doi.org/10.5194/amt-14-6711-2021, https://doi.org/10.5194/amt-14-6711-2021, 2021
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Validation of the instrument stability of the TROPOMI-SWIR module is done by monitoring a group of very stable and remote locations in the Saharan and Arabian deserts. These results confirm the excellent stability and lack of degradation of the TROPOMI-SWIR module derived from the internal calibration sources. The method was done for the first time on a spectrometer in the short-wave infrared and ensures TROPOMI-SWIR can be used for atmospheric research for years to come.
Susanna Hagelin, Roohollah Azad, Magnus Lindskog, Harald Schyberg, and Heiner Körnich
Atmos. Meas. Tech., 14, 5925–5938, https://doi.org/10.5194/amt-14-5925-2021, https://doi.org/10.5194/amt-14-5925-2021, 2021
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In this paper we study the impact of using wind observations from the Aeolus satellite, which provides wind speed profiles globally, in our numerical weather prediction system using a regional model covering the Nordic countries. The wind speed profiles from Aeolus are assimilated by the model, and we see that they have an impact on both the model analysis and forecast, though given the relatively few observations available the impact is often small.
Yuefei Zeng, Tijana Janjic, Yuxuan Feng, Ulrich Blahak, Alberto de Lozar, Elisabeth Bauernschubert, Klaus Stephan, and Jinzhong Min
Atmos. Meas. Tech., 14, 5735–5756, https://doi.org/10.5194/amt-14-5735-2021, https://doi.org/10.5194/amt-14-5735-2021, 2021
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Observation errors (OEs) of radar measurements are correlated. The Desroziers method has been often used to estimate statistics of OE in data assimilation. However, the resulting statistics consist of contributions from different sources and are difficult to interpret. Here, we use an approach based on samples for truncation error to approximate the representation error due to unresolved scales and processes (RE) and compare its statistics with OE statistics estimated by the Desroziers method.
Evgenia Belova, Sheila Kirkwood, Peter Voelger, Sourav Chatterjee, Karathazhiyath Satheesan, Susanna Hagelin, Magnus Lindskog, and Heiner Körnich
Atmos. Meas. Tech., 14, 5415–5428, https://doi.org/10.5194/amt-14-5415-2021, https://doi.org/10.5194/amt-14-5415-2021, 2021
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Wind measurements from two radars (ESRAD in Arctic Sweden and MARA at the Indian Antarctic station Maitri) are compared with lidar winds from the ESA satellite Aeolus, for July–December 2019. The aim is to check if Aeolus data processing is adequate for the sunlit conditions of polar summer. Agreement is generally good with bias in Aeolus winds < 1 m/s in most circumstances. The exception is a large bias (7 m/s) when the satellite has crossed a sunlit Antarctic ice cap before passing MARA.
Ramashray Yadav, Ram Kumar Giri, and Virendra Singh
Atmos. Meas. Tech., 14, 4857–4877, https://doi.org/10.5194/amt-14-4857-2021, https://doi.org/10.5194/amt-14-4857-2021, 2021
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We performed an intercomparison of seasonal and annual studies of retrievals of integrated precipitable water vapor (IPWV) carried out by INSAT-3DR satellite-borne infrared radiometer sounding and CAMS reanalysis data with ground-based Indian GNSS data. The magnitude and sign of the bias of INSAT-3DR and CAMS with respect to GNSS IPWV differs from station to station and season to season. A statistical evaluation of the collocated data sets was done to improve day-to-day weather forecasting.
Matic Šavli, Vivien Pourret, Christophe Payan, and Jean-François Mahfouf
Atmos. Meas. Tech., 14, 4721–4736, https://doi.org/10.5194/amt-14-4721-2021, https://doi.org/10.5194/amt-14-4721-2021, 2021
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The ESA's Aeolus satellite wind retrieval is provided through a series of processors. It depends on the temperature and pressure specification, which, however, are not measured by the satellite. The numerical weather predicted values are used instead, but these are erroneous. This article studies the sensitivity of the wind retrieval by introducing errors in temperature and pressure. This has been found to be small for Aeolus but is expected to be more crucial for future missions.
Kristopher M. Bedka, Amin R. Nehrir, Michael Kavaya, Rory Barton-Grimley, Mark Beaubien, Brian Carroll, James Collins, John Cooney, G. David Emmitt, Steven Greco, Susan Kooi, Tsengdar Lee, Zhaoyan Liu, Sharon Rodier, and Gail Skofronick-Jackson
Atmos. Meas. Tech., 14, 4305–4334, https://doi.org/10.5194/amt-14-4305-2021, https://doi.org/10.5194/amt-14-4305-2021, 2021
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This paper demonstrates the Doppler Aerosol WiNd (DAWN) lidar and High Altitude Lidar Observatory (HALO) measurement capabilities across a range of atmospheric conditions, compares DAWN and HALO measurements with Aeolus satellite Doppler wind lidar to gain an initial perspective of Aeolus performance, and discusses how atmospheric dynamic processes can be resolved and better understood through simultaneous observations of wind, water vapour, and aerosol profile observations.
Emranul Sarkar, Alexander Kozlovsky, Thomas Ulich, Ilkka Virtanen, Mark Lester, and Bernd Kaifler
Atmos. Meas. Tech., 14, 4157–4169, https://doi.org/10.5194/amt-14-4157-2021, https://doi.org/10.5194/amt-14-4157-2021, 2021
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The biasing effect in meteor radar temperature has been a pressing issue for the last 2 decades. This paper has addressed the underlying reasons for such a biasing effect on both theoretical and experimental grounds. An improved statistical method has been developed which allows atmospheric temperatures at around 90 km to be measured with meteor radar in an independent way such that any subsequent bias correction or calibration is no longer required.
Wei Zhong, Xianghui Xue, Wen Yi, Iain M. Reid, Tingdi Chen, and Xiankang Dou
Atmos. Meas. Tech., 14, 3973–3988, https://doi.org/10.5194/amt-14-3973-2021, https://doi.org/10.5194/amt-14-3973-2021, 2021
Evgenia Belova, Peter Voelger, Sheila Kirkwood, Susanna Hagelin, Magnus Lindskog, Heiner Körnich, Sourav Chatterjee, and Karathazhiyath Satheesan
Atmos. Meas. Tech., 14, 2813–2825, https://doi.org/10.5194/amt-14-2813-2021, https://doi.org/10.5194/amt-14-2813-2021, 2021
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We validate horizontal wind measurements at altitudes of 0.5–14 km made with atmospheric radars: ESRAD located near Kiruna in the Swedish Arctic and MARA at the Indian research station Maitri in Antarctica, by comparison with radiosondes, the regional model HARMONIE-AROME and the ECMWF ERA5 reanalysis. Good agreement was found in general, and radar bias and uncertainty were estimated. These radars are planned to be used for validation of winds measured by lidar by the ESA satellite Aeolus.
Gizachew Kabite Wedajo, Misgana Kebede Muleta, and Berhan Gessesse Awoke
Atmos. Meas. Tech., 14, 2299–2316, https://doi.org/10.5194/amt-14-2299-2021, https://doi.org/10.5194/amt-14-2299-2021, 2021
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Satellite rainfall estimates (SREs) are alternative data sources for data-scarce basins. However, the accuracy of the products is plagued by multiple sources of errors. Therefore, SREs should be evaluated for particular basins before being used for other applications. The results of the study showed that CHIRPS2 and IMERG6 estimated rainfall and predicted hydrologic simulations well for Dhidhessa River Basin, which shows remote sensing technology could improve hydrologic studies.
Steven Knoop, Fred C. Bosveld, Marijn J. de Haij, and Arnoud Apituley
Atmos. Meas. Tech., 14, 2219–2235, https://doi.org/10.5194/amt-14-2219-2021, https://doi.org/10.5194/amt-14-2219-2021, 2021
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Doppler wind lidars are laser-based remote sensing instruments that measure the wind up to a few hundred metres or even a few kilometres. Their data can improve weather models and help forecasters. To investigate their accuracy and required meteorological conditions, we have carried out a 2-year measurement campaign of a wind lidar at our Cabauw test site and made a comparison with cup anemometers and wind vanes at several levels in a 213 m tall meteorological mast.
Joaquim V. Teixeira, Hai Nguyen, Derek J. Posselt, Hui Su, and Longtao Wu
Atmos. Meas. Tech., 14, 1941–1957, https://doi.org/10.5194/amt-14-1941-2021, https://doi.org/10.5194/amt-14-1941-2021, 2021
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Wind-tracking algorithms produce atmospheric motion vectors (AMVs) by tracking satellite observations. Accurately characterizing the uncertainties in AMVs is essential in assimilating them into data assimilation models. We develop a machine-learning-based approach for error characterization which involves Gaussian mixture model clustering and random forest using a simulation dataset of water vapor, AMVs, and true winds. We show that our method improves on existing AMV error characterizations.
Cited articles
Alexander, S. P., Tsuda, T., Kawatani, Y., and Takahashi, M.: Global
distribution of atmospheric waves in the equatorial upper troposphere and
lower stratosphere: COSMIC observations of wave mean flow interactions, J.
Geophys. Res., 113, D24115, https://doi.org/10.1029/2008JD010039, 2008.
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.
Anthes, R. A, Rocken, C., and Kuo, Y. H.: Applications of COSMIC to
meteorology and climate, Terrestrial Atmospheric and Oceanic Sciences,
11, 115–156, 2000.
Anthes, R. A., Ector, D., Hunt, D. C., Kuo, Y.-H., Rocken, C., Schreiner, W.
S., Sokolovskiy, S. V., Syndergaard, S., Wee, T.- K., Zeng, Z., Bernhardt,
P. A., Dymond, K. F., Chen, Y., Liu, H., Manning, K., Randel, W. J.,
Trenberth, K. E., Cucurull, L., Healy, S. B., Ho, S.-P., McCormick, C.,
Meehan, T. K., Thompson, D. C., and Yen, N. L.: The cosmic/formosat-3
mission: Early results, B. Am. Meteorol. Soc., 89, 313–333, 2008.
Ao, C. O., Hajj, G. A., Meehan, T. K., Dong, D., Iijima, B. A., Mannucci, J.
A., and Kursinski, E. R.: Rising and setting GPS occultations by use of
open-loop tracking, J. Geophys. Res., 114, D04101, https://doi.org/10.1029/2008JD010483,
2009.
Aparicio, J. M. and Deblonde, G.: Impact of the Assimilation of CHAMP
Refractivity Profiles on Environment Canada Global Forecasts, Mon. Weather
Rev., 136, 257–275, 2008.
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.
Beutler, G.: Methods of Celestial Mechanics, Springer-Verlag, Berlin,
Heidelberg, New York, Germany, USA, ISBN 3-211-82364-6, 2005.
Beyerle, G., Schmidt, T., Michalak, G., Heise, S., Wickert, J., and Reigber,
C.: GPS radio occultation with GRACE: Atmospheric profiling utilizing the
zero difference technique, Geophys. Res. Lett., 32, L13806,
https://doi.org/10.1029/2005GL023109, 2005.
Bi, Y.-M., Yang, Z.-D., Zhang, P., Sun, Y.-Q., Bai, W.-H., Du, Q.-F., Yang,
G. L., Chen, J., and Liao, M.: An introduction to China FY3 radio
occultation mission and its measurement simulation, J. Adv. Space Res., 49,
1191–1197, https://doi.org/10.1016/j.asr.2012.01.014, 2012.
China Satellite Navigation Office: Beidou navigation satellite system signal
in space interface control document-open service signal (Version 2.0),
available at: http://en.beidou.gov.cn/ (last access: 9 November 2015), 2013.
Cucurull, L. and Derber, J. C.: Operational implementation of COSMIC
observations into NCEP's global data assimilation system, Weather Forecast.,
23, 702–711, https://doi.org/10.1175/2008WAF2007070.1, 2008.
Dach, R., Hugentobler, U., Fridez, P., and Meindl, M.: Bernese GPS Software
Version 5.0. Astronomical Institute, University of Bern, Switzerland, 2007.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi. S.,
Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L.,
Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J.,
Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L.,
Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz,
B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C.,
Thépaut, J-N., and Vitart, F.:The ERA-Interim reanalysis: configuration
and performance of the data assimilation system, Q. J. Roy. Meteor. Soc.,
137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Fishbach, F. F.: A satellite method for temperature and pressure below 24 km,
B. Am. Meteorol. Soc., 9, 528–532, 1965.
Fjeldbo, G., Kliore, G. A., and Eshleman, V. R.: The neutral atmosphere of
Venus as studied with the Mariner V radio occultation experiments, Astron. J.,
76, 123–140, 1971.
Gorbunov, M. E.: Ionospheric correction and statistical optimization of
radio occultation data, Radio Sci., 37, 17-1–17-9, https://doi.org/10.1029/2000RS002370, 2002.
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.
Gorbunov, M. E., Lauritsen, K. B., Benzon, H.-H., Larsen, G. B., Syndergaard, S., and
Sørensen, M. B.: Processing of GRAS/METOP radio occultation data recorded in
closed-loop and raw-sampling modes, Atmos. Meas. Tech., 4, 1021–1026, https://doi.org/10.5194/amt-4-1021-2011, 2011.
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. Solar-Terr. Phys., 64, 451–469, 2002.
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.
He, W., Ho, S. P., Chen, H., Zhou, X., Hunt, D., and Kuo, Y. H.: Assessment
of radiosonde temperature measurements in the upper troposphere and lower
stratosphere using COSMIC radio occultation data, Geophys. Res.
Lett., 36, L17807, https://doi.org/10.1029/2009GL038712, 2009.
Healy, S. B. and Thepaut, J. N.: Assimilation experiments with CHAMP GPS
radio occultation measurements, Q. J. Roy. Meteorol. Soc., 132, 605–623,
https://doi.org/10.1256/qj.04.182, 2006.
Hedin, A. E.: Extension of the MSIS thermosphere model into the middle and
lower atmosphere, J. Geophys. Res., 96, 1159–1172, 1991.
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. Meteor. Soc. Japan, 82, 507–531, 2004.
Kuo, Y.-H., Schreiner, W. S., Wang, J., Rossiter, D. L., and Zhang, Y.:
Comparison of GPS radio occultation soundings with radiosondes, Geophys.
Res. Lett., 32, L05817, https://doi.org/10.1029/2004GL021443, 2005.
Kursinski, E. R., Hajj, G. A., Bertiger, W. I., Leroy, S. S., Meehan, T. K.,
Romans, L. J., Schofield, J. T., McCleese, D. J., Melbourne, W. G., Thornton,
C. L., Yunck, T. P., Eyre, J. R., and Nagatani, R. N.: Initial Results of
Radio Occultation Observations of Earth's Atmosphere Using the Global
Positioning System, Science, 271, 1107–1110,
https://doi.org/10.1126/science.271.5252.1107, 1996.
Kursinski, E. R., Hajj, G. A., Hardy, K. R., Schofield, J. T., and Linfield,
R.: Observing Earth's atmosphere with radio occultation measurements, J.
Geophys. Res., 102, 23429–23465, 1997.
Ladstädter, F., Steiner, A. K., Schwärz, M., and Kirchengast, G.:
Climate intercomparison of GPS radio occultation, RS90/92 radiosondes and
GRUAN from 2002 to 2013, Atmos. Meas. Tech., 8, 1819–1834, https://doi.org/10.5194/amt-8-1819-2015, 2015.
Lusignan, B., Modrell, G., Morrison, A., Pomalaza, J., and Ungar, S. G.:
Sensing the Earth's atmosphere with occultation satellites, Proc. IEEE, 4,
458–467, 1969.
Melbourne, W. G., Davis, E. S., Duncan, C. B., Hajj, G. A., Hardy, K. R.,
Kursinski, E. R., Meehan, T. K., and Young, L. E.: The application of
spaceborne GPS to atmospheric limb sounding and global change monitoring,
Publication 94–18, Jet Propulsion Laboratory, Pasadena, California, 1994.
Offiler, D.: The radio occultation processing package (ROPP) an overview,
Tech. rep., GRAS SAF, Document-No: SAF/GRAS/METO/UG/ROPP/001, 2008.
Poli, P., Joiner, J., and Kursinski, E. R.: 1DVAR analysis of temperature
and humidity using GPS radio occultation refractivity data, J. Geophys.
Res., 107, 4448, https://doi.org/10.1029/2001JD000935, 2002.
Poli, P., Ao, C. O., de la Torre Juárez, M., Joiner, J., Hajj,
G. A., and Hoff, R. M.: Evaluation of CHAMP radio occultation refractivity
using data assimilation office analyses and radiosondes, Geophys. Res.
Lett., 30, 1800, https://doi.org/10.1029/2003GL017637, 2003.
Poli, P., Healy, S. B. and Dee, D. P.: Assimilation of Global Positioning
System radio occultation data in the ECMWF ERA–Interim reanalysis, Q. J. Roy.
Meteor. Soc., 136, 1972–1990, https://doi.org/10.1002/qj.722, 2010.
Rennie, M. P.: The impact of GPS radio occultation assimilation at the Met
Office, Q. J. Roy. Meteorol. Soc., 136, 116–131, https://doi.org/10.1002/qj.521, 2010.
Rocken, C., Anthes, R., Mxner, M., Hunt, D., Sokolovskiy, S., Ware, R.,
Gorbunov, M., Schreiner, W., Feng, D., Herman, B., Kuo, Y.-H., and Zou, X.:
Analysis and validation of GPS/MET data in the neutral atmosphere, J.
Geophys. Res., 102, 29849–29866, https://doi.org/10.1029/97JD02400, 1997.
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, 2011.
Schreiner, W. and Rocken, C.: 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.
Schreiner, W., Rocken, C., Sokolovskiy, S., Syndergaard, S., and Hunt, D.:
Estimates of the precision of GPS radio occultations from the
COSMIC/FORMOSAT-3 mission, Geophys. Res. Lett., 34, L04808, https://doi.org/10.1029/2006GL027557, 2007.
Schreiner, W., Sokolovskiy, S., Hunt, D., Rocken, C., and Kuo, Y.-H.: Analysis of
GPS radio occultation data from the FORMOSAT-3/COSMIC and Metop/GRAS missions
at CDAAC, Atmos. Meas. Tech., 4, 2255–2272, https://doi.org/10.5194/amt-4-2255-2011, 2011.
Sokolovskiy, S. V.: Tracking tropospheric radio occultation signals from low
Earth orbit, Radio Sci., 36, 483–498, 2001.
Sokolovskiy, S. V.: Effect of superrefraction on inversions of radio
occultation signals in the lower troposphere, Radio Sci., 38, 1058,
https://doi.org/10.1029/2002RS002728, 2003.
Sokolovskiy, S., Rocken, C., Schreiner, W., Hunt, D. C., and Johnson, J.:
Postprocessing of L1 GPS radio occultation signals recorded in open-loop
mode, Radio Sci., 44, RS2002, https://doi.org/10.1029/2008RS003907, 2009.
Spilker, J. J.: GPS signal structure and performance characteristics,
Navigation, 25, 29–54, 1978.
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.
Von Engeln, A., Healy, S., Marquardt, C., Andres, Y., and Sancho, F.:
Validation of operational GRAS radio occultation data, Geophys. Res. Lett.,
36, L17809, https://doi.org/10.1029/2009GL039968, 2009.
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, Phys. Atmos. Ocean, 29, 602–609,
1994.
Wang, X.-Y., Sun, Y.-Q., Bai, W.-H., Du, Q.-F., Wang, D.-W., Wu, D., Yu,
Q.-L., and Han, Y.: Simulation of number and distribution of COMPASS occultation
events, Chinese J. of Geophysics, 56, 373–381, 2013.
Ware, R., Rocken, C., Solheim, F., Exner, M., Schreiner, W., Anthes, R.,
Feng, D., Herman, B., Gorbunov, M., Sokolovskiy, S., Hardy, K., Kuo, Y.,
Zou, X., Trenberth, K., Meehan, T., Melbourne, W., and Businger, S.: GPS
sounding of the atmosphere from lower Earth orbit: preliminary results, B.
Am. Meteorol. Soc., 77, 19–40, 1996.
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.
Yang, J., Zhang, P., Lu, N.-M., Yang, Z.-D., Shi, J.-M., and Dong, C.-H.:
Improvements on global meteorological observations from the current
Fengyun 3 satellites and beyond, Int. J. Digital Earth,
5, 251–265, 2012.
Yue, X., Schreiner, W. S., Lin, Y.-C., Rocken, C., Kuo, Y. -H., and Zhao B.:
Data assimilation retrieval of electron density profiles from radio
occultation measurements, J. Geophys. Res., 116, A03317,
https://doi.org/10.1029/2010JA015980, 2011.
Zus, F., Beyerle, G., Heise, S., Schmidt, T., Wickert, J., and Marquardt, C.:
Validation of refractivity profiles derived from GRAS raw-sampling data,
Atmos. Meas. Tech., 4, 1541–1550, https://doi.org/10.5194/amt-4-1541-2011, 2011.
Short summary
This paper provides a preliminary validation for the refractivity of GNOS, a new addition to the space-based radio occultation sounder on FY-3C. It possesses a similar sounding capability that COSMIC and GRAS did in the vertical range of 0-30 km, with a precision below 1 %.
This paper provides a preliminary validation for the refractivity of GNOS, a new addition to the...
