GSTDTAP  > 气候变化
DOI10.1002/2017JD027697
Added Value of Assimilating Himawari-8 AHI Water Vapor Radiances on Analyses and Forecasts for "7.19" Severe Storm Over North China
Wang, Yuanbing1; Liu, Zhiquan2; Yang, Sen3; Min, Jinzhong1; Chen, Liqiang3; Chen, Yaodeng1; Zhang, Tao4
2018-04-16
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2018
卷号123期号:7页码:3374-3394
文章类型Article
语种英语
国家Peoples R China; USA
英文摘要

Himawari-8 is the first launched and operational new-generation geostationary meteorological satellite. The Advanced Himawari Imager (AHI) on board Himawari-8 provides continuous high-resolution observations of severe weather phenomena in space and time. In this study, the capability to assimilate AHI radiances has been developed within the Weather Research and Forecasting (WRF) model's data assimilation system. As the first attempt to assimilate AHI using WRF data assimilation at convective scales, the added value of hourly AHI clear-sky radiances from three water vapor channels on convection-permitting (3km) analyses and forecasts of the 7.19 severe rainstorm that occurred over north China during 18-21 July 2016 was investigated. Analyses were produced hourly, and 24h forecasts were produced every 6h. The results showed that improved wind and humidity fields were obtained in analyses and forecasts verified against conventional observations after assimilating AHI water vapor radiances when compared to the control experiment which assimilated only conventional observations. It was also found that the assimilation of AHI water vapor radiances had a clearly positive impact on the rainfall forecast for the first 6h lead time, especially for heavy rainfall exceeding 100mm when verified against the observed rainfall. Furthermore, the horizontal and vertical distribution of features in the moisture fields were improved after assimilating AHI water vapor radiances, eventually contributing to a better forecast of the severe rainstorm.


英文关键词AHI radiances data assimilation convection-permitting WRFDA
领域气候变化
收录类别SCI-E
WOS记录号WOS:000430786500004
WOS关键词NUMERICAL WEATHER PREDICTION ; CLOUD MASK ALGORITHM ; BASE-LINE IMAGER ; BIAS CORRECTION ; GOES-R ; SATELLITE RADIANCES ; RADIATIVE-TRANSFER ; 2-SEASON IMPACT ; PART I ; MODEL
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/32702
专题气候变化
作者单位1.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Joint Int Res Lab Climate & Environm Change ILCEC, Key Lab Meteorol Disaster,Minist Educ KLME, Nanjing, Jiangsu, Peoples R China;
2.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA;
3.Inst Atmospher Environm, Shenyang, Liaoning, Peoples R China;
4.Natl Meteorol Informat Ctr, Beijing, Peoples R China
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GB/T 7714
Wang, Yuanbing,Liu, Zhiquan,Yang, Sen,et al. Added Value of Assimilating Himawari-8 AHI Water Vapor Radiances on Analyses and Forecasts for "7.19" Severe Storm Over North China[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(7):3374-3394.
APA Wang, Yuanbing.,Liu, Zhiquan.,Yang, Sen.,Min, Jinzhong.,Chen, Liqiang.,...&Zhang, Tao.(2018).Added Value of Assimilating Himawari-8 AHI Water Vapor Radiances on Analyses and Forecasts for "7.19" Severe Storm Over North China.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(7),3374-3394.
MLA Wang, Yuanbing,et al."Added Value of Assimilating Himawari-8 AHI Water Vapor Radiances on Analyses and Forecasts for "7.19" Severe Storm Over North China".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.7(2018):3374-3394.
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