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Andrea J. Ray, Gregg M. Garfin, Margaret Wilder, Marcela Vásquez-León, Melanie Lenart, and Andrew C. Comrie

. In the cases of agriculturalists and individual water managers, the stakeholders themselves have been the focus of detailed social science assessments. In each sector, however, applications researchers have found contexts in which improved monsoon information may be useful to reduce vulnerability and to enhance society’s ability to cope with climate variability. a. Natural hazards: Drought, floods, and fire Natural hazards risk management is one of the most climate-affected sectors. The monsoon

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Wanqiu Wang and Pingping Xie

Western Hemisphere (30°S–60°N, 180°–30°W). This paper focuses on 15 May–30 September 2004, the period of the North American Monsoon Experiment (NAME) Model Assessment Project 2 (NAMAP2; Gutzler et al. 2005 ). We will describe the input SST observations, document the algorithms used to construct the analysis, and present a preliminary comparison with existing SST analyses. 2. Input data and preprocessing Construction of an SST analysis of high spatial and temporal resolution requires the utilization

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Michelle Hallack-Alegria and David W. Watkins Jr.

hypothesized distribution at a confidence level of 90% ( Hosking and Wallis 1997 ). It is recognized that use of a single statistic to select a frequency distribution could give misleading results. For this reason a qualitative (visual) assessment of the goodness of fit, particularly in the lower tail of the distribution corresponding to drought events, is also used. e. Parameter and quantile estimates In estimating frequency distribution parameters for each climate region, it was convenient to first scale

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