气候变化领域集成服务门户(CCPortal): Linking drought impacts to drought severity at the state level

CCPortal

DOI	10.1175/BAMS-D-19-0067.1
	Linking drought impacts to drought severity at the state level
	Noel M.; Bathke D.; Fuchs B.; Gutzmer D.; Haigh T.; Hayes M.; Poděbradská M.; Shield C.; Smith K.; Svoboda M.
发表日期	2020
ISSN	00030007
卷号	101 期号:8
英文摘要	The U.S. Drought Monitor (USDM), a weekly map depicting severity and spatial extent of drought, is used to communicate about drought in state and federal decision-making, and as a trigger in response policies, including the distribution of hundreds of millions of dollars for agricultural financial relief in the United States annually. An accompanying classification table helps interpret the map and includes a column of possible impacts associated with each level of drought severity. However, the column describing potential drought impacts is generalized for the entire United States. To provide more geographically specific interpretation of drought, state and regionally specific drought impact classification tables were developed by linking impacts chronicled in the Drought Impact Reporter (DIR) to USDM severity levels across the United States and Puerto Rico and identifying recurrent themes at each level. After creating state-level tables of impacts observed for each level of drought, a nationwide survey was administered to drought experts and decision-makers (n = 89), including the USDM authors, to understand whether the tables provided accurate descriptions of drought impacts in their state. Seventy-six percent of respondents indicated the state table was an acceptable or good characterization of drought impacts for their respective state. This classification scheme was created with a reproducible qualitative methodology that used past observations to identify themes in drought impacts across multiple sectors to concisely describe expected impacts at different levels of drought in each state. © 2020 American Meteorological Society For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy.
语种	英语
scopus关键词	Agricultural robots; Decision making; Decision tables; Classification scheme; Decision makers; Drought severity; Puerto Rico; Qualitative methodologies; Spatial extent; State tables; Drought
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/177933
作者单位	School of Natural Resources, National Drought Mitigation Center, University of Nebraska-Lincoln, Lincoln, NE, United States; School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States
推荐引用方式 GB/T 7714	Noel M.,Bathke D.,Fuchs B.,et al. Linking drought impacts to drought severity at the state level[J],2020,101(8).
APA	Noel M..,Bathke D..,Fuchs B..,Gutzmer D..,Haigh T..,...&Svoboda M..(2020).Linking drought impacts to drought severity at the state level.Bulletin of the American Meteorological Society,101(8).
MLA	Noel M.,et al."Linking drought impacts to drought severity at the state level".Bulletin of the American Meteorological Society 101.8(2020).