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This study analyzed the linkages between large-scale climate patterns and regional precipitation variability, in particular the interannual variation of seasonal precipitation in the Colorado River Basin. Two climate indices, the Southern Oscillation Index (SOI) and the Pacific Decadal Oscillation (PDO), were selected to represent climate patterns. Conceptual influence indices, which quantify the strength of linkages between climate patterns and precipitation variability, were developed based on the Standardized Precipitation Index (SPI). In turn, the spatial variability of the influence indices within the Colorado River Basin was examined for different combinations of SOI and PDO phases and lead times from zero...
A frequently encountered difficulty in assessing model-predicted land–atmosphere exchanges of moisture and energy is the absence of comprehensive observations to which model predictions can be compared at the spatial and temporal resolutions at which the models operate. Various methods have been used to evaluate the land surface schemes in coupled models, including comparisons of model-predicted evapotranspiration with values derived from atmospheric water balances, comparison of model-predicted energy and radiative fluxes with tower measurements during periods of intensive observations, comparison of model-predicted runoff with observed streamflow, and comparison of model predictions of soil moisture with spatial...
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/hyp.10964/abstract): While the effects of land use change in urban areas have been widely examined, the combined effects of climate and land use change on the quality of urban and urbanizing streams have received much less attention. We describe a modelling framework that is applicable to the evaluation of potential changes in urban water quality and associated hydrologic changes in response to ongoing climate and landscape alteration. The grid-based spatially distributed model, Distributed Hydrology Soil Vegetation Model-Water Quality (DHSVM-WQ), is an outgrowth of DHSVM that incorporates modules for assessing hydrology and water quality in urbanized watersheds...
We assessed the performance of the MTCLIM scheme for estimating downward shortwave (SWdown) radiation and surface humidity from daily temperature range (DTR), as well as several schemes for estimating downward longwave radiation (LWdown), at 50 Baseline Solar Radiation Network stations globally. All of the algorithms performed reasonably well under most climate conditions, with biases and mean absolute errors generally less than 3% and 20%, respectively, over more than 70% of the global land surface. However, estimated SWdown had a bias of −26% at coastal sites, due to the ocean's moderating influence on DTR, and in continental interiors, SWdown had an average bias of −15% in the presence of snow, which was reduced...
This recorded presentation is from the April 17, 2014 workshop for the "Integrated Scenarios of the Future Northwest Environment" project. The recording is available on YouTube. The Integrated Scenarios project is an effort to understand and predict the effects of climate change on the Northwest's climate, hydrology, and vegetation. The project was funded by the Northwest Climate Science Center and the Climate Impacts Research Consortium.
This paper describes a publicly available, long-term (1915–2011), hydrologically consistent dataset for the conterminous United States, intended to aid in studies of water and energy exchanges at the land surface. These data are gridded at a spatial resolution of latitude/longitude and are derived from daily temperature and precipitation observations from approximately 20 000 NOAA Cooperative Observer (COOP) stations. The available meteorological data include temperature, precipitation, and wind, as well as derived humidity and downwelling solar and infrared radiation estimated via algorithms that index these quantities to the daily mean temperature, temperature range, and precipitation, and disaggregate them...
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Projected change from historical (1950-2005) in several hydrometerological variables under three Global Circulation Models for two time periods (2050s and 2080s) under RCP 8.5. This metadata record documents multiple individual datasets, specifically the change from historical (1950-2005) for 12 hydrometerological variables projected by 3 Global Circulation Models (GCM) over 2 future time periods, for one Representative Concentration Pathway (RCP 8.5) The variables are: Water Deficit, Spring (March-May) Water Deficit, Summer (July-September) Potential Evapotranspiration, Spring (March-May) Potential Evapotranspiration, Summer (July-September) Total Runoff, Summer (June-August) Total Runoff, Spring (March-May)...
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In the Pacific Northwest, temperatures are projected to increase 2-15°F by 2100. Winters are expected to become wetter and summers could become drier. Snowpack will likely decrease substantially, and snowmelt runoff may occur earlier in the year. Wildfires are projected to become more frequent and severe, and forest types are expected to change from maritime evergreen to subtropical mixed-woodlands. Because the impacts of climate change vary from place to place, regionally-specific climate projections are critical to help farmers, foresters, city planners, public utility providers, and fish and wildlife managers plan for how to best manage resources. However, the models that are used to project changes in climate...
    map background search result map search result map Projecting Future Climate, Vegetation, and Hydrology in the Pacific Northwest Integrated scenarios of the future Northwest U.S. environment: hydrometerological projections for 2050s and 2080s, CMIP5 models, RCP 8.5 Integrated scenarios of the future Northwest U.S. environment: hydrometerological projections for 2050s and 2080s, CMIP5 models, RCP 8.5 Projecting Future Climate, Vegetation, and Hydrology in the Pacific Northwest