气候变化领域集成服务门户(CCPortal): Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events

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DOI	10.1029/2019MS001618
	Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events
	Li X.; Mecikalski J.R.; Srikishen J.; Zavodsky B.; Petersen W.A.
发表日期	2020
ISSN	19422466
卷号	12 期号:5
英文摘要	The National Aeronautics and Space Administration-Japan Aerospace Exploration Agency Global Precipitation Measurement (GPM) mission consists of a multisatellite constellation that provides real-time or near-real-time global observations of rain and snow. In this study, GPM Level 3 Integrated Multi-satellitE Retrievals for GPM (IMERG) and Level 2 GPM Microwave Imager Goddard Profiling rainfall products have been assimilated into the Weather Research and Forecasting model using the community Gridpoint Statistical Interpolation (GSI) data assimilation system. Experiments have been conducted and compared to demonstrate the impact of rain rate data assimilation on forecasts of heavy rainfall related to Hurricane Harvey (2017) and moderate to light rainfall observed during the GPM Integrated Precipitation and Hydrology Experiment field campaign. The results indicate that both GPM Microwave Imager Goddard Profiling and IMERG data could generate apparent increments in moisture, temperature, wind, and pressure fields for Hurricane Harvey, which led to significant improvement in the precipitation forecast. Frequent (every 3 hr) assimilation of IMERG data also positively impacted the short-term precipitation forecast skill for the Integrated Precipitation and Hydrology Experiment moderate to light rain events. However, results also indicate that the impact of rain data assimilation was limited for a system that had a small horizontal dimension with low rain rates and within a relatively stable synoptic environment. ©2020. The Authors.
英文关键词	data assimilation; numerical modeling; quantitative precipitation forecast
语种	英语
scopus关键词	Hurricanes; Hydrology; Image enhancement; NASA; Soil moisture; Weather forecasting; Data assimilation systems; Global precipitation measurement missions; GPM Microwave Imager; Japan Aerospace Exploration Agency; Precipitation events; Precipitation forecast; Statistical interpolation; Weather research and forecasting models; Rain; data assimilation; EOS; hurricane event; imaging method; microwave radiation; precipitation assessment; precipitation intensity; rainstorm; satellite altimetry; Japan
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156712
作者单位	Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL, United States; Department of Atmospheric and Earth Science, University of Alabama in Huntsville, Huntsville, AL, United States; Universities Space Research Association, Huntsville, AL, United States; NASA Marshall Space Flight Center, Huntsville, AL, United States
推荐引用方式 GB/T 7714	Li X.,Mecikalski J.R.,Srikishen J.,et al. Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events[J],2020,12(5).
APA	Li X.,Mecikalski J.R.,Srikishen J.,Zavodsky B.,&Petersen W.A..(2020).Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events.Journal of Advances in Modeling Earth Systems,12(5).
MLA	Li X.,et al."Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events".Journal of Advances in Modeling Earth Systems 12.5(2020).