Articles | Volume 16, issue 20
https://doi.org/10.5194/amt-16-4769-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-4769-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Higher-order calibration on WindRAD (Wind Radar) scatterometer winds
Zhen Li
CORRESPONDING AUTHOR
R&D Satellite Observation, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Ad Stoffelen
R&D Satellite Observation, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Anton Verhoef
R&D Satellite Observation, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Zhixiong Wang
School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, China
Jian Shang
National Satellite Meteorological Center, Beijing, China
Honggang Yin
National Satellite Meteorological Center, Beijing, China
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Xingou Xu and Ad Stoffelen
EGUsphere, https://doi.org/10.5194/egusphere-2024-3840, https://doi.org/10.5194/egusphere-2024-3840, 2025
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In this research, the definition of Quality Control indicators for scatterometers are reviewed, then with SIC and IBC products, their abilities of in ice screening are extensively investigated. To decimating between the rain effect, collocated rain information is also obtained for analysing. This research for the first time addresses the effective information for sea ice from sources other than the directly observed NRCS alone.
Lev D. Labzovskii, Gerd-Jan van Zadelhoff, David P. Donovan, Jos de Kloe, L. Gijsbert Tilstra, Ad Stoffelen, Damien Josset, and Piet Stammes
Atmos. Meas. Tech., 17, 7183–7208, https://doi.org/10.5194/amt-17-7183-2024, https://doi.org/10.5194/amt-17-7183-2024, 2024
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The Atmospheric Laser Doppler Instrument (ALADIN) on the Aeolus satellite was the first of its kind to measure high-resolution vertical profiles of aerosols and cloud properties from space. We present an algorithm that produces Aeolus lidar surface returns (LSRs), containing useful information for measuring UV reflectivity. Aeolus LSRs matched well with existing UV reflectivity data from other satellites, like GOME-2 and TROPOMI, and demonstrated excellent sensitivity to modeled snow cover.
Karina von Schuckmann, Lorena Moreira, Mathilde Cancet, Flora Gues, Emmanuelle Autret, Jonathan Baker, Clément Bricaud, Romain Bourdalle-Badie, Lluis Castrillo, Lijing Cheng, Frederic Chevallier, Daniele Ciani, Alvaro de Pascual-Collar, Vincenzo De Toma, Marie Drevillon, Claudia Fanelli, Gilles Garric, Marion Gehlen, Rianne Giesen, Kevin Hodges, Doroteaciro Iovino, Simon Jandt-Scheelke, Eric Jansen, Melanie Juza, Ioanna Karagali, Thomas Lavergne, Simona Masina, Ronan McAdam, Audrey Minière, Helen Morrison, Tabea Rebekka Panteleit, Andrea Pisano, Marie-Isabelle Pujol, Ad Stoffelen, Sulian Thual, Simon Van Gennip, Pierre Veillard, Chunxue Yang, and Hao Zuo
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Karina von Schuckmann, Lorena Moreira, Mathilde Cancet, Flora Gues, Emmanuelle Autret, Ali Aydogdu, Lluis Castrillo, Daniele Ciani, Andrea Cipollone, Emanuela Clementi, Gianpiero Cossarini, Alvaro de Pascual-Collar, Vincenzo De Toma, Marion Gehlen, Rianne Giesen, Marie Drevillon, Claudia Fanelli, Kevin Hodges, Simon Jandt-Scheelke, Eric Jansen, Melanie Juza, Ioanna Karagali, Priidik Lagemaa, Vidar Lien, Leonardo Lima, Vladyslav Lyubartsev, Ilja Maljutenko, Simona Masina, Ronan McAdam, Pietro Miraglio, Helen Morrison, Tabea Rebekka Panteleit, Andrea Pisano, Marie-Isabelle Pujol, Urmas Raudsepp, Roshin Raj, Ad Stoffelen, Simon Van Gennip, Pierre Veillard, and Chunxue Yang
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Jérôme Neirynck, Jonas Van de Walle, Ruben Borgers, Sebastiaan Jamaer, Johan Meyers, Ad Stoffelen, and Nicole P. M. van Lipzig
Wind Energ. Sci., 9, 1695–1711, https://doi.org/10.5194/wes-9-1695-2024, https://doi.org/10.5194/wes-9-1695-2024, 2024
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In our study, we assess how mesoscale weather systems influence wind speed variations and their impact on offshore wind energy production fluctuations. We have observed, for instance, that weather systems originating over land lead to sea wind speed variations. Additionally, we noted that power fluctuations are typically more significant in summer, despite potentially larger winter wind speed variations. These findings are valuable for grid management and optimizing renewable energy deployment.
Ruben Borgers, Marieke Dirksen, Ine L. Wijnant, Andrew Stepek, Ad Stoffelen, Naveed Akhtar, Jérôme Neirynck, Jonas Van de Walle, Johan Meyers, and Nicole P. M. van Lipzig
Wind Energ. Sci., 9, 697–719, https://doi.org/10.5194/wes-9-697-2024, https://doi.org/10.5194/wes-9-697-2024, 2024
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Wind farms at sea are becoming more densely clustered, which means that next to individual wind turbines interfering with each other in a single wind farm also interference between wind farms becomes important. Using a climate model, this study shows that the efficiency of wind farm clusters and the interference between the wind farms in the cluster depend strongly on the properties of the individual wind farms and are also highly sensitive to the spacing between the wind farms.
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.
Boming Liu, Jianping Guo, Wei Gong, Yong Zhang, Lijuan Shi, Yingying Ma, Jian Li, Xiaoran Guo, Ad Stoffelen, Gerrit de Leeuw, and Xiaofeng Xu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-26, https://doi.org/10.5194/amt-2022-26, 2022
Publication in AMT not foreseen
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Aeolus is the first satellite mission to directly observe wind profile information on a global scale. However, Aeolus wind products over China were thus far not evaluated by in-situ comparison. This work is the comparison of wind speed on a large scale between the Aeolus, ERA5 and RS , shedding important light on the data application of Aeolus wind products.
Xingou Xu and Ad Stoffelen
Atmos. Meas. Tech., 14, 7435–7451, https://doi.org/10.5194/amt-14-7435-2021, https://doi.org/10.5194/amt-14-7435-2021, 2021
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The support vector machine can effectively represent the increasing effect of rain affecting wind speeds. This research provides a correction of deviations that are skew- to Gaussian-like features caused by rain in Ku-band scatterometer wind. It demonstrates the effectiveness of a machine learning method when used based on elaborate analysis of the model establishment and result validation procedures. The corrected winds provide information previously lacking, which is vital for nowcasting.
Jianping Guo, Jian Zhang, Kun Yang, Hong Liao, Shaodong Zhang, Kaiming Huang, Yanmin Lv, Jia Shao, Tao Yu, Bing Tong, Jian Li, Tianning Su, Steve H. L. Yim, Ad Stoffelen, Panmao Zhai, and Xiaofeng Xu
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The planetary boundary layer (PBL) is the lowest part of the troposphere, and boundary layer height (BLH) is the depth of the PBL and is of critical importance to the dispersion of air pollution. The study presents the first near-global BLH climatology by using high-resolution (5-10 m) radiosonde measurements. The variations in BLH exhibit large spatial and temporal dependence, with a peak at 17:00 local solar time. The most promising reanalysis product is ERA-5 in terms of modeling BLH.
Jianping Guo, Boming Liu, Wei Gong, Lijuan Shi, Yong Zhang, Yingying Ma, Jian Zhang, Tianmeng Chen, Kaixu Bai, Ad Stoffelen, Gerrit de Leeuw, and Xiaofeng Xu
Atmos. Chem. Phys., 21, 2945–2958, https://doi.org/10.5194/acp-21-2945-2021, https://doi.org/10.5194/acp-21-2945-2021, 2021
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Vertical wind profiles are crucial to a wide range of atmospheric disciplines. Aeolus is the first satellite mission to directly observe wind profile information on a global scale. However, Aeolus wind products over China have thus far not been evaluated by in situ comparison. This work is expected to let the public and science community better know the Aeolus wind products and to encourage use of these valuable data in future research and applications.
Boming Liu, Jianping Guo, Wei Gong, Yong Zhang, Lijuan Shi, Yingying Ma, Jian Li, Xiaoran Guo, Ad Stoffelen, Gerrit de Leeuw, and Xiaofeng Xu
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-41, https://doi.org/10.5194/acp-2021-41, 2021
Revised manuscript not accepted
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Vertical wind profiles are crucial to a wide range of atmospheric disciplines. Aeolus is the first satellite mission to directly observe wind profile information on a global scale. However, Aeolus wind products over China were thus far not evaluated by in-situ comparison. This work is expected to let the public and science community better know the Aeolus wind products and to encourage use of these valuable data in future researches and applications.
Cited articles
Chi, C. Y. and Li, F. K.: A comparative study of several wind estimation algorithms for spaceborne scatterometers, IEEE T. Geosci. Remote, 26, 115–121, https://doi.org/10.1109/36.3011, 1988. a
CMA: FY-3E WindRAD, CMA [data set], http://satellite.nsmc.org.cn/portalsite/default.aspx?currentculture=en-US, last access: 12 October 2023. a
Cornford, D., Csató, L., Evans, D. J., and Opper, M.: Bayesian Analysis of the Scatterometer Wind Retrieval Inverse Problem: Some New Approaches, J. Roy. Stat. Soc. B, 66, 609–652, https://doi.org/10.1111/j.1467-9868.2004.02054.x, 2004. a
Li, Z., Stoffelen, A., Verhoef, A., and Verspeek, J.: Numerical Weather Prediction Ocean Calibration for the Chinese‐French Oceanography Satellite Wind Scatterometer and Wind Retrieval Evaluation, Earth and Space Science, 8, 1–17, https://doi.org/10.1029/2020ea001606, 2021. a, b, c
Liu, J., Lin, W., Dong, X., Lang, S., Yun, R., Zhu, D., Zhang, K., Sun, C., Mu, B., Ma, J., He, Y., Wang, Z., Li, X., Zhao, X., Jiang, X., and Lin, W.: First Results from the Rotating Fan Beam Scatterometer Onboard CFOSAT, IEEE T. Geosci. Remote, 58, 8793–8806, https://doi.org/10.1109/TGRS.2020.2990708, 2020. a
Pierson, W. J.: Probabilities and statistics for backscatter estimates obtained by a scatterometer, J. Geophys. Res., 94, 9743–9759, https://doi.org/10.1029/JC094iC07p09743, 1989. a
Portabella, M. and Stoffelen, A.: Rain Detection and Quality Control of SeaWinds, J. Atmos. Ocean. Tech., 18, 1171–1183, https://doi.org/10.1175/1520-0426(2001)018<1171:RDAQCO>2.0.CO;2, 2001. a
Portabella, M. and Stoffelen, A.: Characterization of Residual Information for SeaWinds Quality Control, IEEE T. Geosci. Remote, 40, 2747–2759, 2002. a
SCAT-DP team: Oceansat-2 Scatterometer algorithms for sigma-0, processing and products format, Space applications centre, India, Technical report no. 1.1, 32 pp., 2010. a
Shang, J., Yin, H., and Yuan, M.: Technical report on operational software change application of FY-3E WindRAD, National Satellite Meteorological Center, Beijing, Technical report no. 3E_D07_001, 16 pp., 2023. a
Stoffelen, A.: Toward the true near-surface wind speed: Error modeling and calibration using triple collocation, J. Geophys. Res.-Oceans, 103, 7755–7766, https://doi.org/10.1029/97jc03180, 1998. a
Stoffelen, A. and Anderson, D.: Scatterometer data interpretation: Measurement space and inversion, J. Atmos. Ocean. Tech., 14, 1298–1313, https://doi.org/10.1175/1520-0426(1997)014<1298:SDIMSA>2.0.CO;2, 1997. a, b
Stoffelen, A. and Portabella, M.: On Bayesian Scatterometer Wind Inversion, IEEE T. Geosci. Remote, 44, 1–11, https://doi.org/10.1109/TGRS.2005.862502, 2006. a
Stoffelen, A., Verspeek, J. A., Vogelzang, J., and Verhoef, A.: The CMOD7 Geophysical Model Function for ASCAT and ERS Wind Retrievals, IEEE J. Sel. Top. Appl., 10, 2123–2134, https://doi.org/10.1109/JSTARS.2017.2681806, 2017. a, b
Stofflen, A.: A Simple Method for Calibration of a Scatterometer over the Ocean, J. Atmos. Ocean. Tech., 16, 275–282, https://doi.org/10.1175/1520-0426(1999)016<0275, 1999. a
Verspeek, J., Stoffelen, A., Verhoef, A., and Portabella, M.: Improved ASCAT wind retrieval using NWP ocean calibration, IEEE T. Geosci. Remote, 50, 2488–2494, https://doi.org/10.1109/TGRS.2011.2180730, 2012. a, b
Vogelzang, J. and Stoffelen, A.: Improvements in Ku-band scatterometer wind ambiguity removal using ASCAT-based empirical background error correlations, Q. J. Roy. Meteor. Soc., 144, 2245–2259, https://doi.org/10.1002/qj.3349, 2018. a
Vogelzang, J. and Stoffelen, A.: On the Accuracy and Consistency of Quintuple Collocation Analysis of In Situ, Scatterometer, and NWP Winds, Remote Sens.-Basel, 14, 4552, https://doi.org/10.3390/rs14184552, 2022. a, b
Vogelzang, J., Verhoef, A., De Vries, J., and Bonekamp, H.: Validation of Two-Dimensional Variational Ambiguity Removal on SeaWinds Scatterometer Data, J. Atmos. Ocean. Tech., 26, 1229–1245, https://doi.org/10.1175/2008JTECHA1232.1, 2009. a, b
Wang, Z., Stoffelen, A., Zhao, C., Vogelzang, J., Verhoef, A., Verspeek, J., Lin, M., and Chen, G.: An SST-dependent Ku-band geophysical model function for RapidScat, J. Geophys. Res.-Oceans, 122, 3461–3480, https://doi.org/10.1002/2016JC012619, 2017. a, b
Wang, Z., Zou, J., Zhang, Y., Stoffelen, A., Lin, W., He, Y., Feng, Q., Zhang, Y., Mu, B., and Lin, M.: Intercalibration of backscatter measurements among Ku-band scatterometers onboard the Chinese Hy-2 satellite constellation, Remote Sens.-Basel, 13, 4783, https://doi.org/10.3390/rs13234783, 2021. a
Wentz, F. J. and Smith, D. K.: A model function for the ocean-nornalized radar cross section at 14 GHz derived from NSCAT observatioen, J. Geophys. Res., 104, 11499–11514, https://doi.org/10.1029/98JC02148, 1999. a
Yun, R., Stofflen, A., Verspeek, J., and Verhoef, A.: NWP ocean calibration of Ku-band scatterometers, in: IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, 22–27 July 2012, IEEE, https://doi.org/10.1109/IGARSS.2012.6350970, 2012. a, b
Zhang, P., Hu, X., Lu, Q., Zhu, A., Lin, M., Sun, L., Chen, L., and Xu, N.: FY-3E: The First Operational Meteorological Satellite Mission in an Early Morning Orbit, Adv. Atmos. Sci., 39, 1–8, https://doi.org/10.1007/s00376-021-1304-7, 2022. a
Short summary
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.
WindRAD (Wind Radar) is the first dual-frequency rotating fan-beam scatterometer in orbit. We...