nkn:C6B6D1A6-C26C-43D4-8C80-8129822F375D
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 Accumulated Precipitation for the Snake River Basin, Idaho from WCRP CMIP3 IPCC AR4 Center MIUB-METRI-MD, Model ECHO-G, Scenario A1B, Years 2010-2099, Run 3
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 - Prcp, and Run Number - 3. 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=C45D794E-4AF1-410F-93C9-3C7924F19D71/C6B6D1A6-C26C-43D4-8C80-8129822F375D
http://thredds.northwestknowledge.net:8080/thredds/catalog/NKN_PUBLISHED_DATA/C45D794E-4AF1-410F-93C9-3C7924F19D71/C6B6D1A6-C26C-43D4-8C80-8129822F375D/catalog.html?dataset=NKN_DATA_ALL_SCAN/C45D794E-4AF1-410F-93C9-3C7924F19D71/C6B6D1A6-C26C-43D4-8C80-8129822F375D/dcsdelta_MIUB-METRI-MD_ECHO-G_A1B_20102099_prec_run3_salmon_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: prec
Run: 3online
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