5 Works

Downscaled Climate Model Output for the Snake River Basin, Idaho from WCRP CMIP3 Scenarios used in IPCC AR4 [Delta Method]

This data series contains 336 temporal datasets. These data are are climate model outputs, primarily precipitation and temperature. They have been bias-corrected and spatially downscaled (BCSD) to 12-km by Maurer et al. (2007) using the CMIP3 climate model data. These monthly products are available from this link (http://gdo-dcp.ucllnl.org/downscaled_cmip3_projections/) which we temporally disaggregated to a daily time step using the Delta method. This temporal disaggregation involved the following steps. This included a random picking of a...

Downscaled Climate Model Output for the Contiguous United States from IPCC AR4 Scenarios [Bias Corrected Statistical Downscaling (BCSD) Method]

This data series contains 2868 temporal datasets. These data are climate model outputs that have been downscaled to 4-km spatial resolution using the Bias Corrected Statistical Downscaling (BCSD) method. Moore and Walden have modified the BCSD method described by Wood et al (2002), Long-range experimental hydrologic forecasting for the eastern United States. Journal of Geophysical Research-Atmospheres 107: 4429-4443 and Salathe (2005), Downscaling simulations of future global climate with application to hydrologic modeling. International Journal of...

Salmon River RCC Benthic Invertebrate Data

The data presented here represent the benthic macroinvertebrate data collected in 1976 and 1977 along the Salmon River mainstem. These data were part of the original river continuum concept (RCC) project. Seven sites were sampled seasonally over the two year period. Four sites on the upper Salmon River mainstem (i.e., Camp, Smiley, Obsidian, and Casino) were sampled in March and July of 1976. Four sites on the mid to lower Salmon River were sampled in...

Downscaled Climate Model Output for the Western United States from IPCC AR4 Scenarios [Multivariate Adaptive Constructed Analog (MACA) Method]

John Abatzoglou
This data series contains 540 temporal datasets. Wildfire adheres to meteorological enablers and drivers across a spectrum of timescales. However, a majority of downscaling methods are ill suited for wildfire application due the lack of daily timescales and variables such as humidity and winds that are important for fuel flammability and fire spread. Two statistical downscaling methods, the daily Bias-Corrected Spatial Downscaling (BCSD) and the Multivariate Adapted Constructed Analogs (MACA), that directly incorporate daily data...

Downscaled Climate Model Output for the Salmon River Basin, Idaho from WCRP CMIP3 Scenarios used in IPCC AR4 [Delta Method]

This data series contains 336 temporal datasets. These data are are climate model outputs, primarily precipitation and temperature. They have been bias-corrected and spatially downscaled (BCSD) to 12-km by Maurer et al. (2007) using the CMIP3 climate model data. These monthly products are available from this link (http://gdo-dcp.ucllnl.org/downscaled_cmip3_projections/) which we temporally disaggregated to a daily time step using the Delta method. This temporal disaggregation involved the following steps. This included a random picking of a...

Registration Year

  • 2013
    5

Resource Types

  • Dataset
    5