Filters: Tags: pacific northwest (X)
435 results (56ms)|
Filters
Date Range
Extensions Types Contacts
Categories Tag Types
|
ClimateWNA was used to downscale historical data and future climate projections to a 1-km 2 grid. ClimateWNA is a program that generates both directly calculated and derived climate variables for specific locations across western North America (Wang et al. 2012) using Parameter-elevation Regressions on Independent Slopes Model (PRISM). We generated annual, seasonal and monthly climate data for the period 1961 to 1990. For future climate projections, we used the SRES A2 greenhouse-gas emissions scenario from the IPCC Fourth Assessment Report. We generated five sets of future climate projections averaged for the time period 2070-2099: BCCR BCM2.0, CCCMA CGCM3, CSIRO MK 3.0, INMCM 3.0, MIROC3.2 MEDRES. Downloads:...
For his MS thesis, Brendan Rogers used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was run from 1895 to 2100 assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased. Future climate change scenarios were generated through statistical...
Nashville Warbler - VizBand/Land AIC Model Selection Created: 17-May-2011 Nashville Warbler annual capture rate of adult (ADULT) individuals (log transformed) ranged between -0.233 and +2.357 with a mean value of +1.062 and a median value of +1.045. ________________________________________ Model 1 (3 parameters) Nashville Warbler annual capture rate of adult (ADULT) individuals (log transformed) was a function of: a) NLCD06CO2KP (-0.03933) - percent coniferous forest cover, 990m-resolution in a landscape context of 2km radius, ranged between +9.653 and +23.455 (95% CL) with a mean value of +16.554 and a median value of +18.030, b) STRMNET5K (+0.04352) - stream density (percent of pixels), 990m-resolution in a landscape...
Pacific-slope Flycatcher station lifetime productivity (STAPI) (log transformed) ranged between -0.034 and +0.606 with a mean value of +0.286 and a median value of +0.247. ________________________________________ Model 1 (3 parameters) Pacific-slope Flycatcher station lifetime productivity (STAPI) (log transformed) was a function of: a) INTERCEPT (0.3022), b) NLCD06AF90P (+0.01874) - percent all forest cover, 90m-resolution(3x aggregation of 30m-resolution), ranged between -1.901 and +6.011 (95% CL) with a mean value of +2.055 and a median value of +2.494, c) NLCD06IM33P (-0.02730) - percent impervious cover, 990m-resolution (33x aggregation of 30m-resolution), ranged between -1.057 and +5.084 (95% CL) with...
Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial...
Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial...
Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial...
Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial...
Soil residual water corresponds to the model variable "total streamflow." In the model Mc1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), Water leached in the subsoil (baseflow) and also includes runoff. the output is prsented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain....
For a description of each map layer, select the Details tab, then select a Layer Name. This GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the Washington Department of Fish and Wildlife (WDFW) and the Washington Department of Transportation (WSDOT). This dataset quantifies current wildlife habitat connectivity patterns for the Columbia Plateau Ecoregion in Washington, Oregon, and Idaho. Available WHCWG raster data include model base layers, resistance,...
The dataset contains 3 maps that show the current and predicted range of Engelmann spruce (Picea engelmannii) in the Pacific Northwest region. The layers include: 1) the species range modeled under current climate conditions for 1950-75 2) a continuous model of the predicted range for 1950-2006 and 3) potential range expansion and contraction from 2000-2009.
The dataset contains 3 maps that show the current and predicted range of Pacific Silver Fir (Abies amabilis) in the Pacific Northwest region. The layers include: 1) the species range modeled under current climate conditions for 1950-75 2) a continuous model of the predicted range for 1950-2006 and 3) potential range expansion and contraction from 2000-2009.
Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.There is no widely accepted standard for analyzing shoreline...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Accretion,
CMGP,
Coastal and Marine Geology Program,
Columbia River,
DSAS,
For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
The paper geologic map of the east part of the Pullman 1 x 2 -degree quadrangle, Idaho (Rember and Bennett, 1979) was scanned and initially attributed by Optronics Speciality Corp. Inc. (Northride, CA) and remitted to the U.S. Geological Survey for furter attribution and publication of the geospatial digital files. The resulting digital geologic map GIS can be queried in many ways to produce a variety of geological maps.
Categories: Web Site;
Tags: 16035 = Clearwater,
16049 = Idaho,
16057 = Latah,
16061 = Lewis,
16069 = Nez Perce,
This GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the Washington Department of Fish and Wildlife (WDFW) and the Washington Department of Transportation (WSDOT). This dataset quantifies current wildlife habitat connectivity patterns for the Columbia Plateau Ecoregion in Washington, Oregon, and Idaho. Available WHCWG raster data include model base layers, resistance, habitat, cost-weighted distance, and landscape integrity. Grid cell size is 90 m...
For a description of each map layer, select the Details tab, then select a Layer Name. This GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the Washington Department of Fish and Wildlife (WDFW) and the Washington Department of Transportation (WSDOT). This dataset quantifies current wildlife habitat connectivity patterns for the Columbia Plateau Ecoregion in Washington, Oregon, and Idaho. Available WHCWG raster data include model base layers, resistance,...
For a description of each map layer, select the Details tab, then select a Layer Name. This GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the Washington Department of Fish and Wildlife (WDFW) and the Washington Department of Transportation (WSDOT). This dataset quantifies current wildlife habitat connectivity patterns for the Columbia Plateau Ecoregion in Washington, Oregon, and Idaho. Available WHCWG raster data include model base layers, resistance,...
|
|
