8,214 results returned
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Title: Rainfall Totals, greater Green Bay, WI area 2017
Contributors:- Polygon data
- 2017
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2017 (from 01/04 to 12/05) at various time intervals. [Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2016
Contributors:- Polygon data
- 2016
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2016 (from 01/10 to 12/26) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2015
Contributors:- Polygon data
- 2015
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2015 (from 03/25 to 12/30) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2014
Contributors:- Polygon data
- 2014
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2014 (from 03/28 to 09/21) at various time intervals. [Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2013
Contributors:- Polygon data
- 2013
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2013 (from 04/10 to 10/06) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2012
Contributors:- Polygon data
- 2012
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2012 (from 04/16 to 10/15) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2011
Contributors:- Polygon data
- 2011
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2011 (from 04/11 to 11/08) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2010
Contributors:- Polygon data
- 2010
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2010 (from 04/09 to 09/03) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2009
Contributors:- Polygon data
- 2009
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2009 (from 03/25 to 10/24) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2008
Contributors:- Polygon data
- 2008
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2008 (from 04/09 to 08/29) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2007
Contributors:- Polygon data
- 2007
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2007 (from 01/01 to 10/16) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2006
Contributors:- Polygon data
- 2006
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2006 (from 05/19 to 10/03) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2005
Contributors:- Polygon data
- 2005
Summary: This data represents rainfall totals for the greater Green Bay, Wisconsin area in the year 2005 (from 04/20 to 09/26) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2004
Contributors:- Polygon data
- 2004
Summary: This data represents rainfall totals for the greater Green Bay, WI area in the year 2004 (from 05/11 to 08/27) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: Rainfall Totals, greater Green Bay, WI area 2003
Contributors:- Polygon data
- 2003
Summary: This data represents rainfall totals for the Green Bay, Wisconsin area in the year 2003 (from 03/29 to 09/16) at various time intervals.[Rainfall patterns for large storm events within 230 kilometers of the Green Bay, WI Next-Generation Radar (NEXRAD) station (KGRB). The files are Storm Total Precipitation (NTP) for 2003 to 2014 and Storm Total Accumulation (PTA) for 2015 to 2017 downloaded from the NEXRAD Inventory at the NOAA National Climatic Data Center and visualized through the Fox-Wolf Hydrologic Dashboard.]
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Title: World (Earthquakes, 2003)
Contributors:- Point data
- 2003
Summary: This data base provides information on earthquakes from2100 B.C. to the present. The data base containsearthquakes with known magnitude values between 0.1 and9.9. Earthquakes that have no computed magnitude values arealso included in the data base. Users of micro-earthquakedata (magnitude less than or equal to 0.0) should contactinstitutions that operate seismograph networks in theirarea of interest. In reality, there are very few eventswith magnitude less than 2.0 in the data base.
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Title: Great Lakes Shoreline (CUSP), Wisconsin 2024
Contributors:- Line data
- 2024
Summary: This data represents Great Lakes Shoreline (CUSP) for Wisconsin in 2024. [Shoreline is a dynamic interface between land and water. The cartographic depiction of shoreline is a representation at the time of survey. Continually Updated Shoreline Product (CUSP) provides the most up-to-date shoreline of the United States and its territories. CUSP will identify the most up-to-date surveys for inclusion, employ state-of-the-art technology for cartographic review, attribute shoreline features, and develop a strategy to replace shoreline as it becomes available. CUSP is a separate product from the project-based national shoreline mapped by the National Geodetic Survey (NGS). The national shoreline from the Coastal Mapping Program provides accurate tidal referenced shoreline, aids to navigation, hazards to navigation, and associated cultural and topographic reference data primarily for nautical chart applications. CUSP will only include shoreline and alongshore features that represent shoreline (groin, breakwater, and jetty). CUSP has less stringent data acquisition requirements and quality control measures compared to the Coastal Mapping Program's National Shoreline. Where applicable, CUSP will reference a mean high water shoreline based on vertical (VDatum) modeling or image interpretation using water level stations and/or shoreline indicators. CUSP is built upon contemporary NGS's National Shoreline which comprises approximately one-third of our nation's shoreline and focuses primarily on the most navigational significant areas. CUSP uses and incorporates both NOAA and non-NOAA contemporary sources (Lidar, imagery, and external shoreline vectors) to replace shoreline areas of older vintage. Shoreline continues to be reviewed with contemporary imagery and additional data is being included with the goal of providing a continuous shoreline of our nation and its territories. For additional information, please see the CUSP One Pager.]
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Title: Average Monthly Precipitation for March (Inches & Millimeters): California, 1981-2010 (800m)
Contributors:- Raster data
- 2007
- Daly, Chris
- Taylor, George
- Patterson, Will
- National Climatic Data Center (U.S.)
- National Water and Climate Center (U.S.)
- United States. Defense Mapping Agency
Summary: This raster layer contains the average monthly precipitation levels in millimeters and inches for March 1981-2010. This dataset incorporates a conceptual framework that uniquely addresses the spatial scale and pattern of orographic precipitation. The original PRISM dataset covered the United States. This is a California-only version subsetted from the original data set and converted to California Teale Albers NAD83 using bilinear interpolation by the California Department of Fish and Game (CDFG) at 800m resolution. The grid units are presented in inches with floating point. Care should be taken in estimating precipitation values at any single point on the map. Precipitation estimated for each grid cell is an average over the entire area of that cell; thus, point precipitation can be estimated at a spatial precision no better than half the resolution of a cell. Accuracy of this data set is based on the original specification of the Defense Mapping Agency (DMA) 1 degree digital elevation models (DEMs). The stated accuracy of the original DEMs is 130m circular error with 90% probability. The Parameter-elevation Regressions on Independent Slopes Model (PRISM) Climate Group works on a range of projects, some of which support the development of spatial climate datasets. These PRISM datasets provide estimates of the basic climate element of precipitation (ppt), or the Daily total precipitation averaged over a month for both rain and melted snow. These datasets are modeled with PRISM using a digital elevation model (DEM) as the predictor grid and provide baselines describing average monthly precipitation between 1981 and 2000 to be used for display and/or analyses requiring spatially distributed monthly or annual precipitation. Grids were modeled on a monthly basis. Annual grids were produced by averaging (temperatures) or summing (precipitation) the monthly grids. California Department of Fish and Wildlife. (2007). Average Monthly Precipitation for March (Inches & Millimeters): California, 1981-2010 (800m). California Department of Fish and Wildlife. Available at: http://purl.stanford.edu/hr974vj4583. There are many methods of interpolating precipitation 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 precipitation 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 a digital elevation model (DEM) to generate gridded estimates of monthly and annual precipitation (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 precipitation. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Average Annual Precipitation (Inches & Millimeters): California, 1981-2010 (800m)
Contributors:- Raster data
- 2007
- Daly, Chris
- Taylor, George
- National Climatic Data Center (U.S.)
- National Water and Climate Center (U.S.)
- United States. Defense Mapping Agency
Summary: This raster layer contains the average annual precipitation levels in millimeters and inches for 1981-2010. This raster dataset incorporates a conceptual framework that uniquely addresses the spatial scale and pattern of orographic precipitation. The original PRISM dataset covered the United States. This is a California-only version subsetted from the original data set and converted to California Teale Albers NAD83 using bilinear interpolation by the California Department of Fish and Game (CDFG) at 800m resolution. The grid units are presented in millimeters and inches with integers. Care should be taken in estimating precipitation values at any single point on the map. Precipitation estimated for each grid cell is an average over the entire area of that cell; thus, point precipitation can be estimated at a spatial precision no better than half the resolution of a cell. Accuracy of this data set is based on the original specification of the Defense Mapping Agency (DMA) 1 degree digital elevation models (DEMs). The stated accuracy of the original DEMs is 130m circular error with 90% probability. The Parameter-elevation Regressions on Independent Slopes Model (PRISM) Climate Group works on a range of projects, some of which support the development of spatial climate datasets. These PRISM datasets provide estimates of the basic climate element of precipitation (ppt), or the daily total precipitation averaged over a month for both rain and melted snow. These datasets are modeled with PRISM using a digital elevation model (DEM) as the predictor grid and provide baselines describing average annual precipitation between 1981 and 2000 to be used for display and/or analyses requiring spatially distributed annual precipitation. Annual grids were produced by averaging (temperatures) or summing (precipitation) the monthly grids. California Department of Fish and Wildlife. (2007). Average Annual Precipitation (Inches & Millimeters): California, 1981-2010 (800m). California Department of Fish and Wildlife. Available at: http://purl.stanford.edu/qd450mp3166. There are many methods of interpolating precipitation 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 precipitation 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 a digital elevation model (DEM) to generate gridded estimates of monthly and annual precipitation (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 precipitation. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Average Monthly Precipitation for February: California, 1961-1990 (4km)
Contributors:- Raster data
- 2007
- Daly, Chris
- Taylor, George
- Patterson, Will
- National Climatic Data Center (U.S.)
- National Water and Climate Center (U.S.)
- United States. Defense Mapping Agency
Summary: This raster dataset incorporates a conceptual framework that uniquely addresses the spatial scale and pattern of orographic precipitation. The original PRISM dataset covered the United States. This is a California-only version subsetted from the original data set and converted to California Teale Albers NAD83 using bilinear interpolation by the California Department of Fish and Game (CDFG) at 2.5 arc-minutes resolution (approximately 4km). Care should be taken in estimating precipitation values at any single point on the map. Precipitation estimated for each grid cell is an average over the entire area of that cell; thus, point precipitation can be estimated at a spatial precision no better than half the resolution of a cell. Accuracy of this data set is based on the original specification of the Defense Mapping Agency (DMA) 1 degree digital elevation models (DEMs). The stated accuracy of the original DEMs is 130m circular error with 90% probability. The Parameter-elevation Regressions on Independent Slopes Model (PRISM) Climate Group works on a range of projects, some of which support the development of spatial climate datasets. These PRISM datasets provide estimates of the basic climate element of precipitation (ppt), or the Daily total precipitation averaged over a month for both rain and melted snow. These datasets are modeled with PRISM using a digital elevation model (DEM) as the predictor grid and provide baselines describing average monthly precipitation between 1961 and 1990 to be used for display and/or analyses requiring spatially distributed monthly or annual precipitation. California Department of Fish and Wildlife. (2007). Average Monthly Precipitation for February: California, 1961-1990 (4km). California Department of Fish and Wildlife. Available at: http://purl.stanford.edu/bs206hr1420. There are many methods of interpolating precipitation 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 precipitation 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 a digital elevation model (DEM) to generate gridded estimates of monthly and annual precipitation (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 precipitation. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.