{D90F2919-95E6-4BED-B821-7ECF05EA2FB2}2011010511090000TRUE 20110603 15403500 Dr. V. Sridhar Dr. X. Jin2011raster digital dataBoise, ID USAIdaho EPSCoR Officedatasethttp://cloud.insideidaho.org/data/epscor/dcs/ipccar4/delta/snake/CompleteNone plannedData will be provided to all who agree to appropriately acknowledge the National Science Foundation (NSF), Idaho EPSCoR and the individual investigators responsible for the data set. By downloading these data and using them to produce further analysis and/or products, users agree to appropriately acknowledge the National Science Foundation (NSF), Idaho EPSCoR and the individual investigators responsible for the data set.Acceptable uses of data provided by Idaho EPSCoR include any academic, research, educational, governmental, recreational, or other not-for-profit activities. Any use of data provided by the Idaho EPSCoR must acknowledge Idaho EPSCoR and the funding source(s) that contributed to the collection of the data. Users are expected to inform the Idaho EPSCoR Office and the PI(s) responsible for the data of any work or publications based on data provided.Assistant Professor, College of Engineering, Civil Engineeringmailing and physical address

1910 University Drive

BoiseID83725-2075208.426.3710vsridhar@boisestate.eduDr. V. SridharBoise State University IPCC AR4 Model - mri_cgcm2_3_2a, Scenario - A1B, Variable - Prcp, and Run Number - 1. The data in the associated netCDF files are climate model outputs, primarily precipitation and temperature. This has 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. The intended use of these data are for studies that require predictions of future temperature and precipitation conditions in the Snake River Basin, United States.ISO 19115 Topic CategoriesClimatologyMeteorologyAtmosphereIPCC AR4 ModelDownscaled Climate Scenariosmri_cgcm2_3_2aA1BXin Jin and V. Sridhar (Boise State University), Idaho EPSCoR, and National Science Foundation (NSF).-119.0625-109.062546.187541.062520102099ground conditionAssistant Professor, College of Engineering, Civil Engineeringmailing and physical address

1910 University Drive

BoiseID83725-2075208.426.3710vsridhar@boisestate.eduDr. V. SridharBoise State University 20110603 FGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998RasterGCS_WGS_1984Decimal degrees0.1250.125D_WGS_1984WGS_19846378137.000000298.257224No specific tests of logical consistency were performed on these data. However, the geographic distribution of the data, as stored in the netCDF files, has been checked."NaN" is used for missing data values.The USBR climate model output were downscaled using delta method developed by Wood et al (2002), Long-range experimental hydrologic forecasting for the eastern United States. Journal of Geophysical Research-Atmospheres 107: 4429-4443UIDCS201101IPCC-DDCDr. V. SridharUnpublished Materialcomputer program2010publication dateUIDCSDownscaled climate model scenario.Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP's Working Group on Coupled Modelling (WGCM)Unknownhttp://gdo-dcp.ucllnl.org/downscaled_cmip3_projections/raster digital dataonlineIPCC-DDCGlobal climate model output raster datasets. Center: MRI Model: CGCM232a Scenario: A1B Years: 2010-2099 Variable: prec Run: 1unknownpublication date20110105The data in the associated netCDF file are either temperatures or precipitation from USBR climate model output that have been downscaled to 12-km spatial resolution using the Bias Corrected Spatial Downscaling (BCSD) method and daily temporal resolution using delta method.Units of the daily Temperature are degrees Celsius. The complete description of the entity types, attributes, and attribute values are contained within the individual netCDF data files.Idaho Geospatial Data ClearinghouseBruce GodfreyGIS Specialistmailing and physical address

1031 N. Academic Way, Suite 242

Coeur d'AleneID83814-2277208.292.1407bgodfrey@uidaho.eduNonehttp://cloud.insideidaho.org/webApps/util/zip.ashx?fn=http://cloud.insideidaho.org/data/epscor/dcs/ipccar4/delta/snake/dcsdelta_MRI_CGCM232a_A1B_20102099_prec_run1_snake_epscor.ncNetCDF File DownloadOPeNDAP Service Layer Endpoint (HTML)http://cloud.insideidaho.org:8001/epscor/dcs/ipccar4/delta/snake/dcsdelta_MRI_CGCM232a_A1B_20102099_prec_run1_snake_epscor.nc.htmlAlthough these data have been processed successfully on a computer system at the Idaho Geospatial Data Clearinghouse, no warranty, expressed or implied, is made regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty.