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Lauren E. Hay, Steven L. Markstrom, and Christian Ward-Garrison

availability of water to satisfy PET. For this study, all PRMS configurations used the modified Jensen–Haise (JH) method to estimate PET ( Jensen and Haise 1963 ). The method uses mean near-surface air temperature and diurnal saturation vapor pressure differences (estimated from air temperature), elevation, and mean incoming solar radiation (solar radiation is estimated from air temperature and precipitation and is adjusted to account for aspect and slope of the HRU). The JH method, therefore, uses

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P. C. D. Milly and Krista A. Dunne

1. Introduction Climate-change experiments with numerical climate models produce projections of changes in the water cycle. These projections include changes in fluxes (precipitation, evapotranspiration, and runoff) and storage (snowpack, soil water, and groundwater). The value of these projections for long-term water-resource planning and risk analysis is compromised by many factors, but here we focus on three problems: 1) the biases in the modeled historical climates, 2) the coarse

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David M. Bjerklie, Thomas J. Trombley, and Roland J. Viger

1. Introduction Knowledge of historical and future hydrologic trends is needed to develop and evaluate regional water-management strategies. In New England, the amount of groundwater discharge to streams and rivers (base flow), the amount of snow, and the timing of snowmelt are especially important factors for evaluating, managing, and planning for the health of in-stream habitat and recreation. This knowledge needs to include patterns of hydrologic change in both time and space. Regional

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