Information used to reference the data.
Title: Eastern Snake Plain Model Grid
Originators: Idaho Department of Water Resources
Publisher: Idaho Department of Water Resources
Publication place: Boise, ID
Publication date: 20000202
Data type: vector digital data
A characterization of the data, including its intended use and limitations.
Abstract:
This dataset shows the model grid cells that are used in the Eastern Snake Plain Modeling effort. For more information contact IDWR at (208) 287-4800.
The existing Eastern Snake Plain Aquifer (ESPA) model is increasingly being used for water management decisions, and the Idaho Department of Water Resources (IDWR) intends to further use the model for conjunctive administration of surface and groundwater. The present calibration of the ESPA model is based on hydrologic conditions representative of a single year (1980). This results in some uncertainty when the model is used to represent hydrologic conditions that are different from the conditions under which it was calibrated. Calibration using multi-year data sets will include a wider range of Snake Plain hydrologic conditions and will improve the confidence in the ESPA model.
The purpose of the work described by the workplan herein is to improve the ESPA model and estimate confidence limits on parameters used in the model. Specific objectives include the following:
Establish a coordinated approach to improve the groundwater modeling of the ESPA to address the demands of current and emerging water resource issues within a reasonable cost and timeframe;
Collect and analyze data that will enable more reliable simulations of groundwater flow in the Eastern Snake Plain to improve quantification of ground- and surface water interaction;
Enhance, refine, re-calibrate, and document the existing model based on new data and improved calibration techniques; and
Refine simulations of response to groundwater stresses on the basis of the recalibrated ESPA model.
This workplan describes a multi-year effort that will be accomplished through collaborative partnerships, with technical advice provided by the Eastern Snake Hydrologic Modeling Committee. The committee is composed of experts and technical representatives from participating organizations and interested stakeholders.
The ESPA model enhancement will be accomplished through collaborative partnerships between IDWR, Idaho Power Company (IPCo), the University of Idaho (UI), the Idaho Water Resources Research Institute (IWRRI), the U.S. Bureau of Reclamation (USBR), and the U.S. Geological Survey (USGS).
Purpose:
The existing Eastern Snake Plain Aquifer (ESPA) model is increasingly being used for water management decisions, and the Idaho Department of Water Resources (IDWR) intends to further use the model for conjunctive administration of surface and groundwater. The present calibration of the ESPA model is based on hydrologic conditions representative of a single year (1980). This results in some uncertainty when the model is used to represent hydrologic conditions that are different from the conditions under which it was calibrated. Calibration using multi-year data sets will include a wider range of Snake Plain hydrologic conditions and will improve the confidence in the ESPA model.
The purpose of the work described by the workplan herein is to improve the ESPA model and estimate confidence limits on parameters used in the model. Specific objectives include the following:
Establish a coordinated approach to improve the groundwater modeling of the ESPA to address the demands of current and emerging water resource issues within a reasonable cost and timeframe;
Collect and analyze data that will enable more reliable simulations of groundwater flow in the Eastern Snake Plain to improve quantification of ground- and surface water interaction;
Enhance, refine, re-calibrate, and document the existing model based on new data and improved calibration techniques; and
Refine simulations of response to groundwater stresses on the basis of the recalibrated ESPA model.
This workplan describes a multi-year effort that will be accomplished through collaborative partnerships, with technical advice provided by the Eastern Snake Hydrologic Modeling Committee. The committee is composed of experts and technical representatives from participating organizations and interested stakeholders.
The ESPA model enhancement will be accomplished through collaborative partnerships between IDWR, Idaho Power Company (IPCo), the University of Idaho (UI), the Idaho Water Resources Research Institute (IWRRI), the U.S. Bureau of Reclamation (USBR), and the U.S. Geological Survey (USGS).
Language of dataset: en
Contact information for the individual or organization that is knowledgeable about the data.
Organization: Idaho Department of Water Resources
Person: Geospatial Technology
Position: GIS Analyst
Phone: (208) 287-4800
Fax: (208) 287-6700
Email: gisinfo@idwr.idaho.gov
Hours of service: 8:00 to 5:00
Address type: mailing
Address:
322 East Front Street
City: Boise
State or Province: Idaho
Postal code: 83720
Country: USA
How the data are represented, formatted and maintained by the data producing organization.
File or table name: modelgrid
Data type: vector digital data
Data format: Shapefile
Native dataset environment: Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.0.1324
Time period(s) for which the data corresponds to the currentness reference.
Date: 20030101
Currentness reference:
ground condition
The state of and maintenance information for the data.
Data status: Complete
Update frequency: As needed
Words or phrases that summarize certain aspects of the data.
Theme:
Keywords: boundaries
Keyword thesaurus: ESRI Geography Network Thesaurus
Place:
Keywords: Snake River Plain
Keyword thesaurus: None
Restrictions and legal prerequisites for accessing or using the data after access is granted.
Access constraints:
Public
Use constraints:
Persons using information from this site for official purposes, or other purposes, for which accuracy and completeness are required, are hereby notified that they should first verify the information with the public records or other primary sources from which the information was obtained.