Esther M. Pischel 2018 TIFF Portland, Oregon U.S. Geological Survey https://doi.org/10.5066/P9E548IN Esther M. Pischel Henry M. Johnson Stephen B. Gingerich 2018 Report Portland, Oregon U.S. Geological Survey This data set contains mean annual recharge due to infiltration of precipitation, in inches (x 1000), within the upper Umatilla River Basin, Oregon, for calendar years 1981 - 2010. Recharge due to infiltration of precipitation is estimated using a regression method developed by Bauer and Vaccaro (1990) that relates annual recharge to annual precipitation. Gridded mean annual precipitation for years 1981 - 2010 was provided by the Oregon State University PRISM Climate Group. References: Bauer, H.H., and Vaccaro, J.J., 1990, Estimates of ground-water recharge to the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho, for predevelopment and current land-use conditions: U.S. Geological Survey Water-Resources Investigations Report 88-4108, 37 p. PRISM Climate Group, 2016, Northwest Alliance for Computation Science and Engineering: Corvallis, Oregon State University, Northwest Alliance for Computation Science and Engineering, accessed September, 2016, at http://www.prism.oregonstate.edu/ These data were created in order to assess recharge on a finer scale than had previously been done before and to provide input data to assess deep percolation of recharge. 19810101 20101231 dates over which precipitation values were modeled by OSU PRISM Climate Group Complete None planned -118.89504415067 -118.01171082087 45.918867828551 45.335534497551 ISO 19115 Topic Categories inlandWaters USGS Thesaurus groundwater water cycle USGS Metadata Identifier USGS:5b50b8d8e4b06a6dd185e264 Geographic Names Information System (GNIS) Pendleton Umatilla County No access contraints as all data is open and non-proprietary The USGS shall not be held liable for improper or incorrect use of the data retrieved from the system. The USGS should be acknowledged as the data source in derived products. Esther M. Pischel NORTHWEST REGION Hydrologist mailing and physical

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Portland OR 97201 United States 503-251-3298 epischel@usgs.gov U.S. Bureau of Reclamation; Oregon State University PRISM Climate Group No formal attribute accuracy tests were conducted No formal logical accuracy tests were conducted Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. No formal positional accuracy tests were conducted No formal positional accuracy tests were conducted PRISM Climate Group, Oregon State University, Corvallis, Oregon 20120711 ASCII file Corvallis, Oregon PRISM Climate Group, Oregon State University http://prism.oregonstate.edu/normals/ Raster 19810101 20101231 Complete PRISM mean annual precipitation, 1981-2010 Provided precipitation input to regression method of Bauer and Vaccaro (1990) "Clipped" the precipitation data for the contiguous United States to the study area (including a 10 km buffer around the study area). Using ArcGIS 'Extract by Mask' tool: Input raster: PRISM_ppt_30yr_normal_800mM2_annual_asc.asc (800m precipitation data downloaded from http://prism.oregonstate.edu/normals/ Input raster or feature mask data: GroundwaterStudyAreaBuffer10k.shp Output raster: ppt_extract (mean annual 1981-2010 precipitation, in mm, for the buffered study area) 20180206 Converted the precipitation input for the buffered study area from millimeters to inches Using ArcGIS 'Raster Calculator' tool: Input data: ppt_extr Output data: ppt_extr_in (mean annual 1981-2010 precipitation, in inches, for the buffered study area) Raster Calculator statement: ppt_extr_in = "ppt_extr"/25.4 20180206 Using the clipped precipitation grid, in inches, calculated mean annual recharge for each grid cell using the regression method of Bauer and Vaccaro (1990) Using ArcGIS 'Raster Calculator' tool: Input data: ppt_extr_in Output data: bv_81_10 (mean annual 1981-2010 recharge from precipitation, in inches, for the buffered study area) Raster Calculator statement: bv_81_10 = (("PPT_extr_in" * "PPT_extr_in") * 0.00865) + ("PPT_extr_in" * 0.1416) - 1.28 20180206 Reprojected the mean annual recharge from precipitation grid from its original geographic coordinate system (GCS_North_American_1983) to a projected coordinate system (NAD_1983_UTM_Zone_11N). NOTE: At this time, the cell size of the grid was changed from 800 meter to 10 meter. Using ArcGIS 'Project Raster' tool: Input raster: bv_81_10 Output raster: bv_81_10_proj (mean annual 1981-2010 recharge from precipitation, in inches, for the buffered study area, projected to NAD_1983_UTM_Zone_11N) Resampling technique: Nearest Output cell size, x and y: 10 meters 20180206 NOTE: Subsequent process steps for these data detail conversion to GeoTIFF for purposes of data archival. Mean annual recharge grid was multiplied by 1,000 to prepare the data to be converted from floating point to integer number type. The data were multiplied by 1,000 so that when the data are integerized, there is no loss of precision through truncation. Using ArcGIS 'Raster Calculator' tool: Input data: bv_81_10_proj Output data: bv_81_10_projx (Mean annual 1981-2010 recharge from precipitation, in inches, for the study area and in the study projection, multiplied by 1000) Raster Calculator statement: bv_81_10_projx = bv_81_10_proj * 1000 20180216 Mean annual recharge grid (x1000) was integerized to create a value attribute table. Using ArcGIS 'Int' tool: Input raster: bv_81_10projx Output raster: bv_81_10projxi (integerized version of bv_81_10projx) 20180216 Exported bv_81_10projxi as TIFF Output data: bv_81_10projxi1.tif NOTE: To use these data, convert this grid first to floating point, then divide by 1,000 to obtain actual values of recharge. Data should be assumed accurate, at most, to the hundredth of an inch. 20180226 Raster Universal Transverse Mercator 11N 0.9996 -117.0 0.0 500000.0 0.0 row and column 10.0 10.0 METERS D_North_American_1983 GRS 80 6378137.0 298.257222101 bv_81_10projxi1.vat.dbf This data table contains the object ID (OID), each unique value of recharge, in inches X 1,000, and a count of each cell that contains that unique value of recharge The columns in this table were either conceived by ESRI or were producer-defined OID A unique identifier provided by ArcGIS for each record in the raster value attribute table. ESRI ArcMap 0 6382 none VALUE Mean annual recharge due to infiltration of precipitation, in inches X 1,000 for each 10 meter by 10 meter cell in the Upper Umatilla River Basin study area for calendar years 1981-2010 Producer defined 1398 33813 inches X 1000 COUNT Count of cells which contain the mean annual recharge from precipitation given in the "Value" column ESRI ArcMap 5966 36176 cells U.S. Geological Survey - ScienceBase mailing and physical

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Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations. This zip file contains data available in TIFF format. The user must have software capable of uncompressing the zip file and displaying the TIFF. 20200827 Esther M. Pischel NORTHWEST REGION Hydrologist mailing and physical

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Portland OR 97201 United States 503-251-3298 epischel@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998