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20250702
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20250702
12225900
FGDC
dataset
Christopher Daly
PRISM Climate Group
(541) 737-2531
NACSE, 2001 Kelley Engr Center
Oregon State University
Corvallis
OR
97331
US
daly@nacse.org
20221110
ArcGIS Metadata
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Enterprise Geodatabase Feature Class
Oregon 50-year Snow Load Recurrence Interval
2012-12-04
PRISM Climate Group at Oregon State University
PRISM Climate Group at Oregon State University
Corvallis, OR, USA
maps and data
This dataset contains 50-year mean recurrence interval (MRI) ground snow loads for the state of Oregon. The map was developed with the aid of PRISM (Parameter-Elevation Regressions on Independent Slopes Model), developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University.
Display and/or analysis requiring spatially distributed snow load data for Oregon.
Oregon
US Census Bureau
snow load
PRISM Climate Group
snow load
Oregon
Acknowledgement of the following agencies in products derived from these data: PRISM Climate Group at Oregon State University.
none
Access pursuant to license agreement
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observed
1960-01-01
2010-12-31
In determining the ground snow loads occurring within the state of Oregon, PRISM divides the state into a grid of 2.5-arc-minute square cells, approximately 4 km in length, or slightly larger than 2-1/2 mile increments. The snow load for each of the grid cells is determined by calculating a regression curve and a load value for each cell. The calculation includes many topographical and meteorological relationships between the grid cell and the nearby snow reporting stations. PRISM accounts for the effects of elevation, rain shadows, coastal proximity, terrain configuration, temperature inversions, and cold-air pooling on precipitation and temperature. More information on PRISM can be obtained from https://prism.oregonstate.edu.
In a significant departure from previous snow load mapping work, the independent variable used in the regression curve calculation was average annual snowfall, rather than elevation. A mean annual snowfall grid was available for Oregon as part of the new Climate Atlas for the United States, developed by the PRISM Climate Group for the National Climatic Data Center. This grid of average annual snowfall values was used as the independent variable in the calculation of the 50-year snow loads. More information on this can be found in the Oregon Snow Loading website (http://snowload.seao.org).
In order to improve the resolution of the map created by PRISM, the 4 km grid cells were divided into 25 cells of 800 meters, or about a 1/2 miles square. The 800 meter grid cell snow load values were calculated by adjusting the snow load values based on the difference between the average elevation of each individual 800 meter cell and the 4km cell containing it. This resulted in a map that better approximates the variations in in snow load due to the local terrain.
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Similar quality assurance procedures are used with all input data sets.
Contributing weather station point estimates were provided by the Structural Engineers Association of Oregon (SEAO). All station data were subjected to quality control checks by the PRISM Climate Group at Oregon State University.
This dataset is considered complete. Please view the logic section of this document for further information.
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.
This dataset was created via the PRISM modeling process. Please view the abstract section of this document for more information.
2012-12-04
PRISM Climate Group
Please view the logic section of this document for further information.
Oregon Snow Load
PRISM Climate Group
2012-12-04
PRISM Climate Group
publication date
1981-01-01
2010-12-31
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Raster data representing snow load
Spatially gridded values
PRISM Climate Group/NACSE. 2012. An Updated Snow Load Map and Internet Map Server for Oregon. Final report submitted to Oregon Building Codes Division in May 2012. Available online at: http://snowload.seao.org/doc/SEAO_snow_load_final_report_May2012.pdf
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