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 historical year to compute the mean of the daily precipitation and temperature of the gridded observed record for the same month as the future year. Then, by calculating the difference between the future monthly mean temperature and historical mean of monthly mean temperature, "delta t" and by calculating the ratio between the future monthly mean precipitation and historical mean of monthly mean precipitation, "r", we obtained these two ratios, namely addition (for temperature) and multiplication (for precipitation) factors. Finally, we compute the temperature and precipitation by adding "delta t" to daily temperature of the month of a randomly selected year and multiplying daily precipitation by "r" for the month of a randomly selected year for the given month.