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Anne Steinemann, Sam F. Iacobellis, and Daniel R. Cayan

. 2005 ). They are the link between data and decision-making, often a component of drought plans. Indicators can help answer the following stakeholder questions: How do we know it’s a drought? How severe is it? When should we take action? How do we know we’re out of a drought? Indicators and indicator systems can present a number of limitations for decision-making. For instance, indicators are often based on metrics that are subjective, statistically inconsistent across different temporal and spatial

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Ibrahim Demir, Helen Conover, Witold F. Krajewski, Bong-Chul Seo, Radosław Goska, Yubin He, Michael F. McEniry, Sara J. Graves, and Walter Petersen

Center (GHRC) Distributed Active Archive Center (DAAC), a partnership between NASA’s Marshall Space Flight Center and the University of Alabama in Huntsville (UAH), have provided the GPM GV program with collaboration tools in order to facilitate the following: the exchange of planning information before each field campaign; collection of all data, mission science, project and instrument status reports, and other information during the campaign; and the provision of long-term archive and distribution

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Marketa M. Elsner, Subhrendu Gangopadhyay, Tom Pruitt, Levi D. Brekke, Naoki Mizukami, and Martyn P. Clark

1. Introduction Use of sophisticated physical process models informed by statistically or dynamically downscaled climate change scenarios is increasingly becoming an integral part of long-term natural resources planning. For example, the proposed listing of the North American wolverine in 2013 as threatened under the Endangered Species Act ( Office of the Federal Register 2013 ) relied, in part, on work done by McKelvey et al. (2011) to evaluate the impacts of climate change on this distinct

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Neil Debbage and J. Marshall Shepherd

characteristics of the flood were potentially modified by the urban environment. Section 3 presents the results of the numerical modeling experiments. Finally, section 4 summarizes the major findings and explores the potential urban planning implications of the study. 2. Data and methodology a. WRF Model configuration Because of the complexity of the 2009 Atlanta flood, it was difficult to conclusively discern the second-order influences of the urban environment from observational records. Therefore, this

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Jonathan Lala, Seifu Tilahun, and Paul Block

1. Introduction Ethiopia’s main rainy season, the Kiremt, occurs during the boreal summer and is responsible for 65%–95% of total annual rainfall in the country, making it the primary driver of agricultural production ( Segele et al. 2015 ). Agricultural planning, livestock herding, and reservoir management all rely on these rains, largely affecting national welfare. The tragically reoccurring droughts that have plagued East Africa’s most populous country for centuries are most often associated

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Susan Frankenstein, Maria Stevens, and Constance Scott

the latest analyses or forecasts through influence of assimilated information on model state evolution) and the resolution dilemma. This is how we plan on eventually using the SMAP products. The aim of this study was to investigate the differences in mobility predictions in data-sparse and/or denied areas when using the current Noah LIS–based soil moisture climatology method of Baylot et al. (2013) versus using simulated SMAP combined soil moisture products directly. To do this, we first compare

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Kelly Mahoney, F. Martin Ralph, Klaus Wolter, Nolan Doesken, Michael Dettinger, Daniel Gottas, Timothy Coleman, and Allen White

precipitation for both short- and long-term planning. On seasonal and subseasonal time scales, reservoir operations are modified to accommodate precipitation and runoff forecasts. Longer-term regulations and planning for structural and operational safety of dams and other water management infrastructure are commonly based on theoretical estimates of probable maximum precipitation (PMP) that might fall during each season of the year. While reference documents and procedures have existed for decades to

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Cristián Chadwick, Jorge Gironás, Sebastián Vicuña, and Francisco Meza

; King et al. 2015 ; King et al. 2016 ; Lopez et al. 2018 ), sea level ( Carson et al. 2016 ; Lyu et al. 2014 ), current system upwelling ( Brady et al. 2017 ), and different ocean properties ( Keller et al. 2014 ; Henson et al. 2017 ). Finding ToE is relevant as it serves as a marker of human-induced climate change. Recent studies also mention its importance for decision-making, especially when implementing adaptation and mitigation plans ( Nguyen et al. 2018 ; Zhou et al. 2018 ). ToE is most

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Guoyu Ren, Hongbin Liu, Ziying Chu, Li Zhang, Xiang Li, Weijing Li, Yu Chen, Ge Gao, and Yan Zhang
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Jamie Dyer and Andrew Mercer

erosional or biological processes, especially if those changes coincide with harvesting or critical crop growing phases ( Rosenzweig et al. 2002 ). Based on the concerns related to water resources management and precipitation, the primary objective of this research is to quantify the spatial patterns of rainfall over the LMRAV using high-resolution multisensor rainfall estimates. This information is critical to the generation of water resource planning and mitigation strategies since it will provide

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