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Ross N. Hoffman, Peter Dailey, Susanna Hopsch, Rui M. Ponte, Katherine Quinn, Emma M. Hill, and Brian Zachry

1. Introduction Sea level is projected to continue to rise, and some studies suggest that the rate of rise is accelerating (e.g., Church and White 2006 ). Since even a difference on the order of 10 cm in the astronomical tide can have a significant impact on storm surge risk to life and property, sea level rise is directly connected to storm surge risk. Furthermore, although consideration of local sea level involves several complicating factors as described in section 2 , the connection

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Jason Senkbeil, Jennifer Collins, and Jacob Reed

1. Introduction Understanding the myriad reasons why people do or do not evacuate from hurricanes is a complicated puzzle with different information and forms of messaging interacting with physical and social stimuli ( Morss et al. 2016 ). In a statistical meta-analysis of 49 studies, Huang et al. (2016) found that official warnings, mobile home residence, risk area residence, storm conditions, social cues, and expected impacts all consistently influence evacuation. Developing a deeper

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Clement Guilloteau, Marielle Gosset, Cecile Vignolles, Matias Alcoba, Yves M. Tourre, and Jean-Pierre Lacaux

RVF vector risk assessment can be improved. Section 2 presents the dataset used for this study. It includes satellite rainfall products and a dense rain gauge network in Niger. In section 3 , a newly developed model is presented. Section 4 quantifies the sensitivity of the model to rainfall variability within 45 km × 45 km. It investigates high-resolution satellite rainfall as a forcing field and compares it with using a single rain gauge. Finally, the model-estimated water bodies are

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Peter H. Gleick

; Barnett and Adgerb 2007 ; Schmidhuber and Tubiello 2007 ; Malone 2013 ). Recently, the U.S. Department of Defense assessed these risks as part of the Quadrennial Defense Review Report ( U.S. Department of Defense 2010 ; Parthemore and Rogers 2010 ). Among their conclusions, “assessments conducted by the intelligence community indicate that climate change could have significant geopolitical impacts around the world, contributing to poverty, environmental degradation, and the further weakening of

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Kathleen Sherman-Morris, Karla B. Antonelli, and Carrick C. Williams

1. Introduction The loss of life caused by storm surge from Hurricane Sandy in 2012 ( Blake et al. 2013 ) combined with reports noting residents underestimated their level of risk from storm surge ( Baker et al. 2012 ) help demonstrate a need to focus on the communication of storm surge potential. When computerized hurricane path/forecast track graphics were first released in 1996, the National Hurricane Center’s goal was to help provide “a ready, unambiguous description of what’s going on

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Robert V. Rohli, Jennifer M. Collins, Robin L. Ersing, G. Douglas Lunsford, and Ashley M. Ludwig

and Morrow 2006 ). While less research has been devoted to understanding the impact of a priori knowledge and experience on hazard perception, management, and preparedness, some important research along these lines exists. The association between disaster experience, risk perception, and preparedness is complex ( Donahue et al. 2014 ). One’s risk perception has been generally thought to be influenced by past experience. Several studies have noted this influence to be a positive relationship, such

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Julie L. Demuth, Rebecca E. Morss, Jeffrey K. Lazo, and Douglas C. Hilderbrand

2011 ) but also because it can have economic implications ( Sutter and Erickson 2010 ). Thus, explicitly indicating when a weather threat is in effect can help people understand and respond during the time period that they are actually at risk. In summary, the research reported upon here illustrates that, in general, the design of forecast information influences how recipients attend to and interpret the information, which has implications for their weather risk assessment. More specifically

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Jared LeClerc and Susan Joslyn

orders and personal opinions: Household strategies for hurricane risk assessment . Environ. Hazards , 2 , 143 – 155 . Drobot, S. D. , 2007 : Evaluation of winter storm warnings: A case study of the Colorado Front Range December 20-21, 2006, winter storm. Quick Response Research Rep. 192, University of Colorado Natural Hazards Center, 9 pp. [Available online at www.colorado.edu/hazards/research/qr/qr192/qr192.html .] Edwards, A. , Elwyn G. , Covey J. , Matthews E. , and Pill R. , 2001

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Radley M. Horton, Vivien Gornitz, Daniel A. Bader, Alex C. Ruane, Richard Goldberg, and Cynthia Rosenzweig

issues of vulnerability and adaptation, developing, for example, an eight-step adaptation assessment process and templates for ranking relative risk and prioritizing adaptation strategies ( Rosenzweig and Solecki 2010 ). This paper focuses on the provision of stakeholder-relevant climate information in support of the broader NPCC assessment. Section 2 describes the method used for the NPCC’s climate hazard assessment. Section 3 compares climate-model hindcasts with observational results for the

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Erwan Koch, Jonathan Koh, Anthony C. Davison, Chiara Lepore, and Michael K. Tippett

and Roebber 2009 ) and are relevant to rainfall extremes ( Lepore et al. 2015 ), but have not previously been observed over the United States. April and May are important months for PROD, as severe thunderstorms are frequent at this period. The corresponding time slope is positive in regions of the United States where severe thunderstorms are already common, which may have implications for risk assessment and management. Our study also reveals that ENSO can explain variation in the GEV location

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