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6. Biases’ Characteristics Assessment of the HY-2B Scanning Microwave Radiometer (SMR)’s Observations

Author

Li, Zeting, Han, Wei, Xu, Haiming, Xie, Hejun, and Zou, Juhong

Subjects
bias characterization, RFI, RTTOV, SMR, HY-2B, O-B
Abstract

The second Chinese ocean dynamic environment satellite Haiyang-2B (HY-2B), carrying a scanning microwave radiometer (SMR) to provide information on the ocean and atmosphere, was successfully launched on 25 October 2018. Before the data assimilation, it is necessary to characterize and evaluate the biases of the HY-2B SMR observations. This study is the first to conduct a systematic assessment of the SMR radiance data based on observation minus background simulation (O-B). Three types of numerical weather prediction (NWP) datasets, including ECMWF Reanalysis v5 (ERA5), the analysis fields from the NCEP Global Forecast System (NCEP-GFS), and the analysis fields from the Global Regional Assimilation and Prediction System-Global Forecast System (GRAPES-GFS), were used as input information for RTTOV v12.3 to simulate the SMR’s observed brightness temperature (TB) under clear-sky conditions. Study results showed that the O-B biases and IQR of the SMR for most channels were within −2.5–0.4 K and smaller than 4 K, respectively. The SMR observations were generally consistent with the RTTOV simulations, even based on the different NWP fields. These results indicate a good prospect for the assimilated application of HY-2B SMR radiance data. However, due to the impact of RFI, the SMR’s descending data for two 10.7 GHz channels showed some significant positive biases larger than 50 K over the seas of the European region. In addition, it seems that the bias characteristics of the SMR’s ascending data were obviously different from those of the descending data. It was also found that the variation trend of scan-position-dependent bias was generally stable for the SMR’s ascending data but fluctuates significantly for the descending data, with a maximum amplitude greater than 0.7 K for some channels.

Published
2023
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16. Blending Sea Surface Winds from the HY-2 Satellite Scatterometers Based on a 2D-Var Method.

Author

Lv, Sirui, Lin, Wenming, Wang, Zhixiong, and Zou, Juhong

Subjects
OCEAN-atmosphere interaction, WIND pressure, ERROR functions, STATISTICAL correlation, REMOTE sensing
Abstract

The launch of the Haiyang-2 (HY-2) satellite constellation fosters the quick acquisition of global sea surface vector winds from the perspective of remote sensing. This study intends to develop a six-hourly mesoscale analysis of sea surface winds based on the microwave scatterometers onboard the HY-2 satellite series, with the objective of meeting the considerable demand for accurate and gap-free ocean wind forcing products. First, the accuracy of HY-2 scatterometers (HSCATs) in measuring wind is evaluated. In particular, the standard deviation (SD) errors of HSCATs data are assessed using the collocated buoy measurements with different temporal windows in order to account for the temporal representativeness errors in the blending analysis. Afterwards, a two-dimensional variational (2D-Var) method is implemented to blend the HSCATs measured winds and the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis winds over the global ocean surface. This approach is different from existing methods in that it takes both wind error and background error correlation into account. The results show that the blended wind product is of a promising quality compared with independent wind references. Interestingly, the blended winds derived from 2D-Var in combination with an empirical background error correlation show smaller SD errors than those using a Gaussian error correlation function. Overall, the blended wind product should be valuable for forcing global ocean models or describing air-sea interaction processes on a scale close to the scatterometer measurements. [ABSTRACT FROM AUTHOR]

Published
2023
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20. Overview of the standards and metrics of ocean surface vector wind by spaceborne microwave remote sensing

Author

Dong, Xiao-long, Chang, Paul, Stoffelen, Ad, Portabella, Marcos, Kumar, Raj, Linow, Stefanie, Zou, Juhong, Lin, Wenming, Xu, Xueqing, Dong, Xiao-long, Chang, Paul, Stoffelen, Ad, Portabella, Marcos, Kumar, Raj, Linow, Stefanie, Zou, Juhong, Lin, Wenming, and Xu, Xueqing

Abstract

Decades of ocean surface vector wind (OSVW) data acquired from space-based radar scatterometry have been providing short and long-term researches and applications information about ocean surfaces. The main objective of the project, stands and metrics of ocean surface vector wind by space-borne microwave remote sensing, of W orking Group on Calibration and Validation of the Committee on Earth Observation Satellites (CEOS WGCV), is to develop the standard and guideline for the requirement, procedure, processing and assessment for the space borne radar scatterometer measurement calibration, wind retrieval approaches, wind data validation and assessment for OSVW, which will be used to assure the consistency of the data quality of these satellites and instruments are the prerequisite for related scientific researches and applications. This synthesizes calibration, standardized practices of retrieval approaches for ocean surface winds, development of guidelines/standards of validation of ocean surface winds, and identifying and organizing collocation related data. This presentation will provide an overview of the proj ect and the recent progresses

Published
2021

21. Erratum to: Vol. 35 No. 1 Publisher’s Erratum

Author

He, Shuangyan / 贺双颜, He, Mingxia / 贺明霞, Fischer, Jürgen, Yuan, Dongliang / 袁东亮, Xu, Peng / 徐鹏, Xu, Tengfei / 徐腾飞, Yang, Xianping / 杨宪平, Sokoletsky, Leonid, Wei, Xiaodao / 魏小岛, Shen, Fang / 沈芳, Zou, Juhong / 邹巨洪, Guo, Maohua / 郭茂华, Cui, Songxue / 崔松雪, Zhou, Wu / 周武, Gao, Dalu / 高大鲁, Jin, Guangzhen / 靳光震, Lü, Xianqing / 吕咸青, Qiu, Fuwen / 丘福文, Fang, Wendong / 方文东, Pan, Aijun / 潘爱军, Cha, Jing / 查晶, Zhang, Shanwu / 张善武, Huang, Jiang / 黄奖, Wang, Tao / 王涛, Cheng, Yongzhou / 成永洲, Chen, Xiaoyan / 陈晓艳, Liu, Zhaopu / 刘兆普, Long, Xiaohua / 隆小华, Hou, Zhishuai / 侯志帅, Wen, Haishen / 温海深, Li, Jifang / 李吉方, He, Feng / 何峰, Liu, Qun / 刘群, Wang, Jinhuan / 王金环, Guan, Biao / 管标, Wang, Qinglong / 王庆龙, Shahjahan, Md., Kabir, Md. Farajul, Sumon, Kizar Ahmed, Bhowmik, Lipi Rani, Rashid, Harunur, Li, Shu / 李淑, Yu, Kefu / 余克服, Zhao, Jianxin / 赵建新, Feng, Yuexing / 俸月星, Chen, Tianran / 陈天然, Zhou, Shun / 周顺, Ren, Yichao / 任贻超, Pearce, Christopher M., Dong, Shuanglin / 董双林, Tian, Xiangli / 田相利, Gao, Qinfeng / 高勤峰, Wang, Fang / 王芳, Liu, Liming / 刘立明, Du, Rongbin / 杜荣斌, Zhang, Xiaoling / 张晓凌, Dong, Shuanglin / 董双林, Sun, Shichun / 孙世春, Feng, Song / 冯颂, Lin, Jianing / 林佳宁, Sun, Song / 孙松, Zhang, Fang / 张芳, Zhang, Zhipeng / 张智鹏, Tang, Xuexi / 唐学玺, Tang, Haitian / 唐海田, Song, Jingjing / 宋静静, Zhou, Jian / 周健, Liu, Hongjun / 刘洪军, Wang, Qixiang / 王其翔, Qian, Kuimei / 钱奎梅, Liu, Xia / 刘霞, Chen, Yuwei / 陈宇炜, Sun, Chengjun / 孙承君, Jiang, Fenghua / 蒋凤华, Gao, Wei / 高伟, Li, Xiaoyun / 李小云, Yu, Yanzhen / 于延珍, Yin, Xiaofei / 尹晓斐, Wang, Yong / 王勇, Ding, Haibing / 丁海兵, Sun, Zhongmin / 孙忠民, Wang, Yongqiang / 王永强, Yan, Pengcheng / 严鹏程, Guo, Hui / 郭辉, Yao, Jianting / 姚建亭, Tanaka, Jiro / 田中次郎, Kawai, Hiroshi / 川井浩史, Song, Na / 宋娜, Chen, Muyan / 陈慕雁, Gao, Tianxiang / 高天翔, Yanagimoto, Takashi, Lu, Xia / 卢霞, Luan, Sheng / 栾生, Kong, Jie / 孔杰, Hu, Longyang / 胡龙洋, Mao, Yong / 毛勇, Zhong, Shengping / 钟声平, Liu, Yan / 刘艳, Zhao, Weihong / 赵卫红, Li, Caiyan / 李彩艳, and Miao, Hui / 苗辉

Published
2017
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25. Analysis of the High-Latitude Sea Surface Wind Acquisition Ability of Seven Satellite Scatterometers.

Author

Zou, Juhong, Wang, Zhixiong, and Lin, Mingsen

Abstract

Seven satellite scatterometers, namely, the C-band MetOp-A/Advanced Scatterometer (ASCAT), MetOp-B/ASCAT, MetOp-C/ASCAT, Ku-band HY-2A/SCAT, HY-2B/SCAT, Chinese-French Oceanography Satellite (CFOSAT)/SCAT, and SCATSAT-1/OceanSat Satellite Scatterometer (OSCAT2), are operating in orbits. These satellites make a high-frequency observation of sea surface winds possible, particularly at high latitudes. This work analyzes the passing time, passing frequency, coverage of these seven scatterometers, and the quality of high-latitude surface wind products. All the scatterometer wind products were reproduced with the same processing procedures, in terms of backscatter calibration, wind retrieval, numerical weather prediction (NWP) wind, and quality control. The target region (74–78 N, 167°–171 W) was chosen to analyze the passing frequency. A spatial grid of $0.25^{\circ } \times 0$.25° in the range of 60° N–88° N was chosen to analyze the spatial coverage of the scatterometers. The results show that more than 40 observation times can be provided daily by all the seven scatterometers; however, there is a 9-h gap between UTC 9:00 and UTC 18:00, suggesting that international cooperation is needed for optimizing the equatorial crossing time in future scatterometer missions, such that an optimal virtual scatterometer constellation can be achieved. The scatterometer winds are compared with the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis 5th Generation (ERA5) winds, and with each other. The comparison results confirmed noticeable wind speed biases due to sea surface temperature (SST) in all Ku-band scatterometer winds with respect to the C-band scatterometer and ERA5 winds. [ABSTRACT FROM AUTHOR]

Published
2022
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32. Erratum to : Performance evaluation of operational atmospheric correction algorithms over the East China Seas (Chinese Journal of Oceanology and Limnology, (2017), 35, 1, (1-22), 10.1007/s00343-016-5170-6)

Author

He, Shuangyan, He, Mingxia, Fischer, Jürgen, Yuan, Dongliang, Xu, Peng, Xu, Tengfei, Yang, Xianping, Sokoletsky, Leonid, Wei, Xiaodao, Shen, Fang, Zou, Juhong, Guo, Maohua, Cui, Songxue, Zhou, Wu, Gao, Dalu, Jin, Guangzhen, Lü, Xianqing, Qiu, Fuwen, Fang, Wendong, Pan, Aijun, Cha, Jing, Zhang, Shanwu, Huang, Jiang, Wang, Tao, Cheng, Yongzhou, Chen, Xiaoyan, Liu, Zhaopu, Long, Xiaohua, Hou, Zhishuai, Wen, Haishen, Li, Jifang, He, Feng, Liu, Qun, Wang, Jinhuan, Guan, Biao, Wang, Qinglong, Shahjahan, Md, Kabir, Md Farajul, Sumon, Kizar Ahmed, Bhowmik, Lipi Rani, Rashid, Harunur, Li, Shu, Yu, Kefu, Zhao, Jianxin, Feng, Yuexing, Chen, Tianran, Zhou, Shun, Ren, Yichao, Pearce, Christopher M., Dong, Shuanglin, Tian, Xiangli, Gao, Qinfeng, Wang, Fang, Liu, Liming, Du, Rongbin, Zhang, Xiaoling, Sun, Shichun, Feng, Song, Lin, Jianing, Sun, Song, Zhang, Fang, Zhang, Zhipeng, Tang, Xuexi, Tang, Haitian, Song, Jingjing, Zhou, Jian, Liu, Hongjun, Wang, Qixiang, Qian, Kuimei, Liu, Xia, Chen, Yuwei, Sun, Chengjun, Jiang, Fenghua, Gao, Wei, Li, Xiaoyun, Yu, Yanzhen, Yin, Xiaofei, Wang, Yong, Ding, Haibing, Sun, Zhongmin, Wang, Yongqiang, Yan, Pengcheng, Guo, Hui, Yao, Jianting, Tanaka, Jiro, Kawai, Hiroshi, Song, Na, Chen, Muyan, Gao, Tianxiang, Yanagimoto, Takashi, Lu, Xia, Luan, Sheng, Kong, Jie, Hu, Longyang, Mao, Yong, Zhong, Shengping, Liu, Yan, Zhao, Weihong, Li, Caiyan, and Miao, Hui

Subjects
Aquatic Ecology and Water Quality Management, Life Science, Aquatische Ecologie en Waterkwaliteitsbeheer
Abstract

Unfortunately for all articles of Vol. 35 No. 1 the future journal title “Journal of Oceanology and Limnology” was used instead of the current journal title “Chinese Journal of Oceanology and Limnology”. All articles in the issue are aff ected. Please make sure to cite the articles with the following Vol. and No. info: Chinese Journal of Oceanology and Limnology, Vol. 35 No. 1, [page range].

Published
2017

34. On the Quality of HY-2A Scatterometer Wind

Author

Lin, Wenming, Portabella, Marcos, Stoffelen, Ad, Verhoef, Anton, Zhang, Youguang, Lin, Mingsen, Zou, Juhong, and Lang, Shuyan

Abstract

Presentación para el International Ocean Vector Winds Science Team (2015 IOVWST) Meeting, 19-21 May 2015, Portland, Oregon.-- 39 pages

Published
2015

36. Intercomparison between ASCAT, HY-2A and RapidScat

Author

Portabella, Marcos, Lin, Wenming, Stoffelen, Ad, Verhoef, Anton, Zhang, Youguang, Lin, Mingsen, Lang, Shuyan, and Zou, Juhong

Abstract

RapidScat Cal/Val Workshop, 18 May 2015, Portland, USA

Published
2015

37. Toward an improved HY-2A scatterometer wind product

Author

Lin, Wenming, Portabella, Marcos, Stoffelen, Ad, Verhoef, Anton, Zhang, Youguang, Lin, Mingsen, Zou, Juhong, and Lang, Shuyan

Abstract

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2015), Remote Sensing: Understanding the Earth for a Safer World, 26-31 July 2015, Milan, Italy

Published
2015

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