Climate data--including 30-Year-normal data--provided by PRISM Climate Group at Oregon State University. Data is in raster formats.

This is a dataset download, not a document. The Open button will start the download.This data layer is an element of the Oregon GIS Framework. Monthly 30-year "normal" dataset covering Oregon, averaged over the climatological period 1991-2020. Contains spatially gridded average annual total precipitation at 800m (30 arc-second) grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website.

Monthly PRISM datasets covering the conterminous U.S., from 1981-2019 were used to calculate yearly average air temperature and spatially averaged yearly precipitation for selected counties in and near the Permian Basin. Distribution of the measurements was accomplished using the PRISM, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. The aggregated data was used to display and/or analyze spatially distributed yearly average air temperature and spatially averaged yearly precipitation for select counties in and near the Permian Basin from 1981-2019.

Spatially distributed monthly and annual temperature. Each file represents 1 month of 1 year for the period 1895-1997. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Christopher Daly, Director, The PRISM Climate Group, Oregon State University. Care should be taken in estimating temperature values at any single point on the map. Temperature estimated for each grid cell is an average over the entire area of that cell; thus, point temperature can be estimated at a spatial precision no better than half the resolution of a cell. For example, the temperature data were distributed at a resolution of approximately 4km. Therefore, point temperature can be estimated at a spatial precision no better than 2km. However, the overall distribution of temperature features is thought to be accurate. For further information, the online PRISM homepage can be found at URL:http://prism.oregonstate.edu. Further information on the current state of this project can be found at URL:ftp://ftp.ncdc.noaa.gov/pub/data/prism100

This is a dataset download, not a document. The Open button will start the download.This data layer is an element of the Oregon GIS Framework. Monthly 30-year "normal" dataset covering Oregon, averaged over the climatological period 1991-2020. Contains spatially gridded average daily minimum temperature at 800m grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website.

Monthly 30-year "normal" dataset covering the conterminous U.S., including the Russian River watershed, averaged over the climatological period 1981-2010. Contains spatially gridded average monthly and average annual precipitation, maximum temperature, and minimum temperature at 800m grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset was heavily peer reviewed, and is available free-of-charge on the PRISM website. The dataset was downloaded from the PRISM website in 2019

Spatially distributed monthly and annual average maximum/minimum/dew point temperature. Each file represents 1 month of 1 year for the period January 1997 to the present. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Christopher Daly, Director, The PRISM Climate Group, Oregon State University. Care should be taken in estimating temperature values at any single point on the map. Temperature estimated for each grid cell is an average over the entire area of that cell; thus, point temperature can be estimated at a spatial precision no better than half the resolution of a cell. For example, the temperature data were distributed at a resolution of approximately 4km. Therefore, point temperature can be estimated at a spatial precision no better than 2km. However, the overall distribution of temperature features is thought to be accurate. For further information, the online PRISM homepage can be found at URL:http://prism.oregonstate.edu.

Annual dataset covering the conterminous U.S., from 1981 to now. Contains spatially gridded annual average daily mean temperature at 4km grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University.

This feature layer contains the gridded seasonal (three month) PRISM Temperature Normals from Oregon State University on a 0.5 x 0.5 degree grid for the contiguous United States. The data was originally created in February 2018. These climatologies will be updated along with the drought outlook tools.The seasonal climatology has the same time period as the one month lead for the Climate Prediction Center's Seasonal Outlook. This climatology is for the current seasonal forecast released on the third Thursday of every month for the following three month period. This is a tool for the Drought Outlook Interactive Web Map and Drought Outlook Interactive Experience.Climate Prediction Center uses climatologies with a base period from 1981 to 2010. For more information visit the PRISM Climate Group, Oregon State University, https://prism.oregonstate.edu

These files are spatially gridded precipitation of average monthly and annual precipitation for the climatological periods 1971-2000 and 1980-89, Andrews Experimental Forest. The original 1980-89 grids were updated for a greater time span and also the extent of the coverage is increased. Interpolation of point station measurements to a spatial grid was done using the PRISM model, developed by Christopher Daly of the PRISM Group at Oregon State University. PRISM interpolation accounts for the effects of elevation on the spatial patterns of precipitation. Grid resolution is 100 meters. Station data used in the interpolation were obtained from current and historic rain gauge stations within the forest. These grids represent the first significant effort to map climatological precipitation in the Andrews Forest. Further information on PRISM can be found at http://prism.oregonstate.edu/

Historical Past (1895-1980) - Time series datasets prior to 1981 are modeled using climatologically-aided interpolation (CAI), which uses the long-term average pattern (i.e., the 30-year normals) as first-guess of the spatial pattern of climatic conditions for a given month or day. CAI is robust to wide variations in station data density, which is necessary when modeling long time series. Data is based on Monthly and Annual dataset covering the conterminous U.S. from 1981 to now. Contains spatially gridded monthly and annual total precipitation at 4km grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University.

This data release provides the underlying data for Kampf et al., in review: "Rethinking the role of the water balance in hydrologic research." Mean annual climatic variables based on the Northern Hemisphere water year (October 1 to September 30) and several watershed properties are provided for 121 USGS reference watersheds smaller than 1,000 square kilometers. For each climatic variable, mean annual values were derived from watershed average annual values.

The columns of the dataset are as follows:

SP- watershed averaged January 1 to July 1 snow persistence as in Hammond et al., 2018 P_mm - watershed averaged total water year precipitation from PRISM, Daly, 2013 Q_mm - total water year water yield from USGS NWIS QdivP - runoff ratio, total water year water yield divided by total water year precipitation PET - watershed averaged total water year potential evapotranspiration from gridMET - Abatzoglou, 2013 PdivPET - the ratio of total water year precipitation to total water year potential evapotranspiration from the sources above. Elev_mean_m - GAGES-II, Falcone, 2011 Area_km2 - GAGES-II, Falcone, 2011

Abatzoglou, J. T. (2013). Development of gridded surface meteorological data for ecological applications and modelling. International Journal of Climatology, 33(1), 121–131.

Daly, C. (2013). Descriptions of PRISM spatial climate datasets for the conterminous United States (PRISM Doc., 14 p.). Corvallis, OR: PRISM Climate Group, Oregon State University.

Falcone, J. A. (2011). GAGES-II: Geospatial attributes of gages for evaluating streamflow (Digit. Spat. Data set). Reston, VA: U.S. Geological Survey.

Hammond, J. C., Saavedra, F. A., & Kampf, S. K. (2018). How does snow persistence relate to annual streamflow in mountain watersheds of the Western U.S. with wet maritime and dry continental climates? Water Resources Research, 54, 2605–2623. https://doi.org/10.1002/ 2017WR021899

Monthly 30-year "normal" dataset covering the conterminous U.S., averaged over the climatological period 1991-2020. Contains spatially gridded average annual total precipitation at 4km grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website.

These datasets are continuous parameter grids (CPG) of total annual precipitation data for the years 2000 through 2016 in the Pacific Northwest. Source precipitation data was produced by the PRISM Climate Group at Oregon State University.

This data layer is an element of the Oregon GIS Framework. Monthly 30-year normal dataset covering Oregon, averaged over the climatological period 1991-2020. Contains spatially gridded average daily mean temperature at 800m grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website. ""

Spatially distributed monthly and annual average maximum/minimum/dew point temperature. Each file represents 1 month of 1 year for the period January 1997 to the present. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Christopher Daly, Director, The PRISM Climate Group, Oregon State University. Care should be taken in estimating temperature values at any single point on the map. Temperature estimated for each grid cell is an average over the entire area of that cell; thus, point temperature can be estimated at a spatial precision no better than half the resolution of a cell. For example, the temperature data were distributed at a resolution of approximately 4km. Therefore, point temperature can be estimated at a spatial precision no better than 2km. However, the overall distribution of temperature features is thought to be accurate. For further information, the online PRISM homepage can be found at URL:http://prism.oregonstate.edu.

Data from moorings that were in place for at least 6 months in deep water and include meteorological data, pressure records and temperature records gathered by the Oregon State University (OSU) Buoy Group over a span of more than 35 years. In addition, included are a number of electronic (i.e., browser-formatted) data reports.

This dataset relates to current meter records from the PRISM experiment at the Ross Ice Shelf.

Other links available on this site will take you to the collection of data reports, an historical retrospective of the Buoy Group and instructions on how to download the data for the following:

• Atlantic Ocean data
• Pacific Ocean data
• Indian Ocean data
• Southern Ocean data
• Electronic data reports
• History of the Group
• How to use this disk

This metadata record provides the latitude, longitude, and a unique ID value (PRISMID) for all raster cells used by the PRISM group at Oregon State University to characterize climate throughout the conterminous United States. The three column format of comma-separated data can be readily joined to the comma-separated climate and water-balance variables described in the associated metadata file "Water Balance Model Inputs and Outputs for the Conterminous United States".

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

The downloadable ZIP file contains an Esri grid. These data were created as part of a graduate thesis at the University of Idaho. The Koppen Climate Classification was produced using gridded estimates of precipitation, temperature, and elevation from the PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM was developed at Oregon State University and information about the gridded ASCII data sets can be obtained from: https://prism.oregonstate.edu/.These data were created as part of this thesis: https://alliance-primo.hosted.exlibrisgroup.com/permalink/f/m1uotc/CP71174200670001451These data were contributed to INSIDE Idaho at the University of Idaho Library in 1999.