nkn:19677020-6D99-41A7-AADE-C2C2F4BCB629 eng; USA utf8 dataset Dr. V. Sridhar Boise State University Assistant Professor, College of Engineering, Civil Engineering 208.426.3710 1910 University Drive Boise ID 83725-2075 vsridhar@boisestate.edu pointOfContact 20170417 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 2 column 0.125 row 0.125 false Downscaled Daily Minimum Temperature for the Snake River Basin, Idaho from WCRP CMIP3 IPCC AR4 Center MIUB-METRI-MD, Model ECHO-G, Scenario A1B, Years 2010-2099, Run 2 2011 publication University of Idaho (208) 885-4989 University of Idaho Office of Research & Economic Development 875 Perimeter Drive MS 3010 Moscow ID 83844-3010 USA vpresearch@uidaho.edu http://www.uidaho.edu/research owner Northwest Knowledge Network distributor Dr. V. Sridhar originator Dr. X. Jin originator Idaho EPSCoR Office Boise ID USA publisher mapDigital http://cloud.insideidaho.org/data/epscor/dcs/ipccar4/delta/snake/ dataset IPCC AR4 Model - echo, Scenario - A1B, Variable - Tmin, and Run Number - 2. 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. Xin Jin and V. Sridhar (Boise State University), Idaho EPSCoR, and National Science Foundation (NSF). completed Dr. V. Sridhar Boise State University Assistant Professor, College of Engineering, Civil Engineering 208.426.3710 1910 University Drive Boise ID 83725-2075 vsridhar@boisestate.edu pointOfContact notPlanned Downscaled Climate Scenarios echo A1B NSF EPSCoR EPS-0814387 Water Resources in a Changing Climate theme IPCC AR4 Model otherRestrictions otherRestrictions Access Constraints: Data 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. Use Constraints: 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. Distribution Liability: Although 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. grid eng; USA climatologyMeteorologyAtmosphere -119.0625 -109.0625 41.0625 46.1875 ground condition 2010 2099 false Entity and Attribute Information Entity and Attribute Overview: The 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. Entity and Attribute Detail Citation: 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. Network Common Data Form (NetCDF) Northwest Knowledge Network distributor None http://www.northwestknowledge.net/data/download.php?uuid=D355B53A-EC40-472F-919C-D822578FA316/19677020-6D99-41A7-AADE-C2C2F4BCB629 http://thredds.northwestknowledge.net:8080/thredds/catalog/NKN_PUBLISHED_DATA/D355B53A-EC40-472F-919C-D822578FA316/19677020-6D99-41A7-AADE-C2C2F4BCB629/catalog.html?dataset=NKN_DATA_ALL_SCAN/D355B53A-EC40-472F-919C-D822578FA316/19677020-6D99-41A7-AADE-C2C2F4BCB629/dcsdelta_MIUB-METRI-MD_ECHO-G_A1B_20102099_tmin_run2_snake_epscor.nc "NaN" is used for missing data values. No 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. 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: 4429-4443 UIDCS IPCC-DDC Source Contribution: Downscaled climate model scenario.computer program Bias-corrected, Statisically-Downscaled Climate Model Scenarios (Boise State University) UIDCS publication Dr. V. Sridhar resourceProvider publication date 2010 Source Contribution: Global climate model output raster datasets. Center: MIUB-METRI-MD Model: ECHO-G Scenario: A1B Years: 2010-2099 Variable: tmin Run: 2online Bias Corrected and Downscaled WCRP CMIP3 Climate Projections IPCC-DDC publication Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP's Working Group on Coupled Modelling (WGCM) resourceProvider mapDigital publication date This metadata was automatically generated from the FGDC Content Standards for Digital Geospatial Metadatastandard version FGDC-STD-001-1998 using the January 2013 version of the FGDC CSDGM to ISO 19115-2 transform. Dr. V. Sridhar Boise State University Assistant Professor, College of Engineering, Civil Engineering 208.426.3710 1910 University Drive Boise ID 83725-2075 vsridhar@boisestate.edu custodian