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Carlos Gaitan

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When climate models are developed, researchers test how well they replicate the climate system by using them to model past climate. Ideally, the model output will match the climate conditions that were actually recorded in the past, indicating that the model correctly characterizes how the climate system works and can be used to reliably project future conditions. However, this approach assumes that models that reliably project past climate conditions will accurately predict future climate conditions, even though the climate system might have changed. This research contributes to generating more reliable local-scale climate projections by testing the assumption that the climatological relationships which existed...
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The Red River Basin is a vital source of water in the South Central U.S., supporting ecosystems, drinking water, agriculture, tourism and recreation, and cultural ceremonies. Stretching from the High Plains of New Mexico eastward to the Mississippi River, the Red River Basin encompasses parts of five states – New Mexico, Texas, Oklahoma, Arkansas, and Louisiana. Further, 74% of the jurisdictional boundaries of the Chickasaw and Choctaw Tribes are located within the basin. Water resources in the basin have been stressed in recent years due to a multi-year drought and increasing demands for consumptive use by metropolitan areas in Oklahoma and Texas. Unfortunately, currently available projections of future precipitation...
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This collection contains three statistically downscaled time series (datasets) for the Red River Basin (South Central U.S.), and one dataset used as historical observations. In particular, three different Global Climate Models (MPI-ESM-LR, CCSM4 and MIROC5) were downscaled using three different quantile mapping methods (CDFt, EDQM and BCQM). We do not recommend the use of the BCQM method, as the CDFt method is considered an improvement of it. The datasets created using the BCQM method are published as a demonstration of the risks of using flawed methods. The variables of interest are: daily maximum and minimum temperature, and daily precipitation. The spatial resolution of the datasets in the collection is 1/10th...
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This collection contains three statistically downscaled time series (datasets) for the Red River Basin (South Central U.S.), and one dataset used as historical observations. In particular, three different Global Climate Models (MPI-ESM-LR, CCSM4 and MIROC5) were downscaled using three different quantile mapping methods (CDFt, EDQM and BCQM). We do not recommend the use of the BCQM method, as the CDFt method is considered an improvement of it. The datasets created using the BCQM method are published as a demonstration of the risks of using flawed methods. The variables of interest are: daily maximum and minimum temperature, and daily precipitation. The spatial resolution of the datasets in the collection is 1/10th...
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