This data set contains spatially gridded precipitation of average monthly and annual precipitation for the climatological period 1971-2000. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Chris Daly of SCAS/OSU. UNITS ARE MM x 100 for gridded precipitation of average monthly and average annual precipitation for the climatological period 1971-2000
Display and/or analyses requiring spatially distributed monthly or annual precipitation for the climatological period 1971-2000. For use with the GEOSTAC database, this data set has been compiled to simplify pesticide risk assessment and to provide a common data set for vested interests.
There are many methods of interpolating climate from monitoring stations to grid points. Some provide estimates of acceptable accuracy in flat terrain, but few have been able to adequately explain the extreme, complex variations in climate that occur in mountainous regions. Significant progress in this area has been achieved through the development of PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM is an analytical model that uses point data and an underlying grid such as a digital elevation model (DEM) or a 30 yr climatological average (e.g. 1961-1990 average) to generate gridded estimates of monthly and annual precipitation and temperature (as well as other climatic parameters). PRISM is well suited to regions with mountainous terrain, because it incorporates a conceptual framework that addresses the spatial scale and pattern of orographic processes. Grids were modeled on a monthly basis. Annual grids of temperature are produced by averaging the monthly grids, and summed for precipitation. For additional information, please visit: http://www.ocs.orst.edu/prism/ Precip evelvations are MM x 100
Climatological period from which the point observations were taken.
Acknowledgement of the following agencies in products derived from these data: Spatial Climate Analysis Service at Oregon State University.
For additional data set credits, please visit: http://www.ocs.orst.edu/prism/
All data were based on the same averaging period (1971-2000). Similar quality assurance procedures were used with all input data sets.
Point estimates of precipitation originated from the following sources: National Weather Service Cooperative (COOP) stations, and 2) Natural Resources Conservation Service (NRCS) SNOTEL. All COOP station data were subjected to quality control checks by the National Climatic Data Center (NCDC). All COOP and SNOTEL data were subjected to further quality control checks by the Spatial Climate Analysis Service.
Accuracy of this data set is based on the original specification of the Defense Mapping Agency (DMA) 1 degree digital elevation models (DEM). The stated accuracy of the original DEMs are 130 m circular error with 90% probability.
The broad DMA production objective for 1-degree DEM's.
Precip evelvations are MM x 100
Location and values of known average monthly and annual precipitation
Location and values of known 30 year average daily precipitation
Terrain surface input to PRISM model for estimation of precipitaion between known points.
PRISM was used to create gridded estimates of precipitation from point observations and an underlying grid (e.g. DEM, 30 year climatological average).
Process 30 year daily averages of SNOTEL data into monthly averages
Processed 30 years of monthly COOP DSI3220 data into 1971-2000 monthly averages
All the station data was combined into one master data set.
Combined station data set CLIM2000 was incorporated into the PRISM model and combined with the climatological grid to produce the initial 4 km-resolution PRISM model output.
Downloaded source data sets in ASCII Grid File format, and converted ESRI Grid file format.
Projected grids to Albers Equal Area and referenced to NAD 83 datum.
Metadata imported.
no data available
Spatial Climate Analysis Service PRISM Project
spatially gridded average precipitation (mm x 100)
897 B Harrison St SE