气候变化领域集成服务门户(CCPortal): The NASA hydrological forecast system for food and water security applications

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DOI	10.1175/BAMS-D-18-0264.1
	The NASA hydrological forecast system for food and water security applications
	Arsenault K.R.; Shukla S.; Hazra A.; Getirana A.; McNally A.; Kumar S.V.; Koster R.D.; Peters-Lidard C.D.; Zaitchik B.F.; Badr H.; Jung H.C.; Narapusetty B.; Navari M.; Wang S.; Mocko D.M.; Funk C.; Harrison L.; Husak G.J.; Adoum A.; Galu G.; Magadzire T.; Roningen J.; Shaw M.; Eylander J.; Bergaoui K.; McDonnell R.A.; Verdin J.P.
发表日期	2020
ISSN	00030007
起始页码	E1007
结束页码	E1025
卷号	101 期号:7
英文摘要	Many regions in Africa and the Middle East are vulnerable to drought and to water and food insecurity, motivating agency efforts such as the U.S. Agency for International Development's (USAID) Famine Early Warning Systems Network (FEWS NET) to provide early warning of drought events in the region. Each year these warnings guide life-saving assistance that reaches millions of people. A new NASA multimodel, remote sensing-based hydrological forecasting and analysis system, NHyFAS, has been developed to support such efforts by improving the FEWS NET's current early warning capabilities. NHyFAS derives its skill from two sources: (i) accurate initial conditions, as produced by an offline land modeling system through the application and/or assimilation of various satellite data (precipitation, soil moisture, and terrestrial water storage), and (ii) meteorological forcing data during the forecast period as produced by a state-of-the-art ocean-land-atmosphere forecast system. The land modeling framework used is the Land Information System (LIS), which employs a suite of land surface models, allowing multimodel ensembles and multiple data assimilation strategies to better estimate land surface conditions. An evaluation of NHyFAS shows that its 1-5-month hindcasts successfully capture known historic drought events, and it has improved skill over benchmark-type hindcasts. The system also benefits from strong collaboration with end-user partners in Africa and the Middle East, who provide insights on strategies to formulate and communicate early warning indicators to water and food security communities. The additional lead time provided by this system will increase the speed, accuracy, and efficacy of humanitarian disaster relief, helping to save lives and livelihoods. © 2020 American Meteorological Society.
语种	英语
scopus关键词	Digital storage; Disaster prevention; Drought; Food supply; NASA; Remote sensing; Soil moisture; Surface measurement; Early warning indicators; Hydrological forecast; Hydrological forecasting; International development; Land information systems; Land surface conditions; Meteorological forcing; Terrestrial water storage; Forecasting
来源期刊	Bulletin of the American Meteorological Society
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/177846
作者单位	NASA Goddard Space Flight Center, Greenbelt, MD, United States; Science Applications International Corporation, Reston, VA, United States; Climate Hazards Center, University of California, Santa Barbara, Santa Barbara, CA, United States; Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, MD, United States; Office of Food for Peace, U.S. Agency for International Development, Washington, DC, United States; Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, United States; Science Systems and Applications, Inc., Lanham, MD, United States; INNOVIM, NOAA/Climate Prediction Center, College Park, MD, United States; Center for Earth Resources Observations and Science, U.S. Geological Survey, Sioux Fall, SD, United States; Famine Early Warning Systems Network, Niamey, Niger; Famine Early Warning Systems Network, Nairobi, Kenya; Famine Early Warning Systems Network, Gaborone, Botswana; New Hampshire Department of Information Technology...
推荐引用方式 GB/T 7714	Arsenault K.R.,Shukla S.,Hazra A.,et al. The NASA hydrological forecast system for food and water security applications[J],2020,101(7).
APA	Arsenault K.R..,Shukla S..,Hazra A..,Getirana A..,McNally A..,...&Verdin J.P..(2020).The NASA hydrological forecast system for food and water security applications.Bulletin of the American Meteorological Society,101(7).
MLA	Arsenault K.R.,et al."The NASA hydrological forecast system for food and water security applications".Bulletin of the American Meteorological Society 101.7(2020).