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Jason C. Senkbeil, Meganne S. Rockman, and John B. Mason

an actual tornado event. Respondents were presented with a tornado-at-home scenario and a tornado-while-driving scenario. For the at-home scenario, most respondents (82%) preferred to stay in the home, and for the driving scenario most respondents (72%) indicated that they would leave their vehicles to seek shelter. No previous research has been directly devoted to changes in individual shelter-seeking plans of residents after a significant tornado event. Using Tuscaloosa, Alabama, as a case

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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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Maurice E. Graves and Morris Perlmutter

OCTOB~~ 1976 MAURICE E. GRAVES AND MORRIS PERLMUTTER 1041An Application of Markov Theory to Spacecraft Launch Planning M^URm~ E. G~AV~S~ Atqn Mo~IS PERLMr. ITTER2 ~rorthrop Services, Inc., Huntsville, Ala. 35805(Manuscript received 30 April 1975, in revised form 26 July 1975)ABSTRACT To illustrate the effective use of meteorological data in the planning of spacecraft launchings, certainstatistical relationships

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Erin Towler and David Yates

1. Introduction Multiyear climate prediction is a rapidly evolving field that aims to inform society of potential climate variability and change years to a decade in advance. Also called decadal prediction, outlooks at this time scale fill the gap between short-term (subseasonal to seasonal) and long-term (multidecadal to centennial) planning horizons. These decadal predictions are being informed by global climate models (GCMs) that are initialized based on current observations and run with

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A. Ono, F. Sakuma, K. Arai, Y. Yamaguchi, H. Fujisada, P. N. Slater, K. J. Thome, F. D. Palluconi, and H. H. Kieffer

AeR~t 1996 ONO ET AL. 321Preflight and In-Flight Calibration Plan for ASTER A. ONO AND F. $AKUMA National Research Laboratory of Metrology, Tsukuba, Japan K. ARAISaga University, Saga, Japan Y. YAMAGUCHIGeological Survey of Japan, Tsukuba, Japan H. FUJISADAElectro-technical Laboratory, Tsukuba, Japan P. N

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D. A. Wilhite

Recent droughts, calls for action by regional, national, and international organizations, and the availability of model plans have stimulated considerable activity in the development of drought contingency plans by state government in the United States. In 1982 only three states had prepared formal drought plans; currently 23 states have completed plans. These planning efforts have often been conducted in conjunction with a state's overall water management planning initiative. Clearly, states can now be labeled as policy innovators in the field of drought planning. The atmospheric science community should play a prominent role in the planning process at all levels of government.

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Kyle Andrew Poyar and Nancy Beller-Simms

overall effectiveness. Far less attention has been paid, however, on whether and how these government bodies are planning to adapt to the impacts of climate change ( Moser 2009 ; Betsill and Bulkeley 2007 ). Meanwhile, as Moser (2009) writes, “adaptation has finally, and explosively, emerged on the political agenda … [but] the current policy rush is not underlain by widespread public engagement and mobilization nor does it rest on a solid research foundation.” This paper presents a case

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

1. Introduction This paper describes a methodological approach to stakeholder-driven climate hazard assessment developed for the New York, New York, metropolitan region ( Fig. 1 ). The methods were developed in support of the New York City Panel on Climate Change (NPCC; Rosenzweig and Solecki 2010 ). The NPCC is an advisory body to New York City’s Climate Change Adaptation Task Force (CCATF), formed by Mayor Michael Bloomberg in 2008 and overseen by the Mayor’s Office of Long Term Planning and

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Samuel Tang and Suraje Dessai

currency in evidence-based policy-making ( Young et al. 2002 ; Sutcliffe and Court 2005 ). Therefore, the need to produce and disseminate comprehensive, robust, and trustworthy scientific information to inform policy design is essential ( Dilling and Lemos 2011 ). An emerging policy priority where scientific information is considered to be particularly important for decision-making is adaptation planning (or governance), which, in contrast to mitigation, aims to deal with the consequences rather than

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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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