Skip to main content
Advanced Search

Filters: Tags: pacific northwest (X) > Types: GeoTIFF (X)

8 results (59ms)   

Filters
View Results as: JSON ATOM CSV
thumbnail
This data release contains the model inputs, outputs, and source code (written in R) for a redeveloped PRObability of Streamflow PERmanence (PROSPER) model (version 2.0) that had previously been developed for the Pacific Northwest Region (PROSPER_PNW_2), and a raster data set which shows where influential predictor values were outside the range of calibration data. The PROSPER-PNW model, a random forest model, was redeveloped in the Ranger R package using all the original model inputs consistent with PROSPER_PNW_2 to produce annual streamflow permanence probabilities for calendar years 2004-2016 at a 30-meter stream grid resolution that approximately corresponds to flowlines consistent with the National Hydrography...
thumbnail
In 2004, about 90 migrating elk drowned after attempting to cross thin ice on the Mores Creek arm of Lucky Peak Lake upstream of the Highway 21 bridge. To better understand the depths over a range of reservoir pool elevations in the Mores Creek Arm, the U.S. Geological Survey, in cooperation with the Lucky Peak Power Plant Project, conducted high-resolution multibeam echosounder (MBES) bathymetric surveys on the Mores Creek arm on Lucky Peak Lake. The MBES data will assist reservoir managers and wildlife biologists with regulating reservoir water surface elevations (WSE) to support successful big game migration across Mores Creek on Lucky Peak Lake. Data collection provided nearly 100 percent coverage of bed elevations...
thumbnail
This dataset includes inputs and results for parameterizing the USGS Thornthwaite Monthly Water Balance Model (MWBM) to simulate annual stream permanence on National Hydrography Dataset (NHD) stream reaches. Also included are results from sensitivity analysis of MWBM parameters to final stream permanence classification (permanent or nonpermanent). The dataset includes files that link PRISM climate grids to NHD catchments and flowlines. Data tables describe the sensitivity of MWBM stream permanence classifications to each of the altered MWBM parameters. Suitable MWBM parameter sets, which resulted in accuracy of at least 65% when compared to observed surface water conditions, for modeling stream permanence are presented...
thumbnail
Current (1980-2009) and future (2035-2064) bird abundance estimates from a boosted regression tree (BRT) model for 31 avian species in Oregon and Washington state based on avian point count data and eBird data (www.ebird.org) together with climate covariates, and vegetation covariates driven by MC2, a dynamic global vegetation model (DGVM). Current climate data was based on PRISM (www.prism.oregonstate.edu/). Future climate data was based on downscaled projections (4km) of the GCMUSED global climate model developed by the Multivariate Adaptive Constructed Analogs (MACA) project. This downscaled data is part of the MACAv1-METDATA dataset (maca.northwestknowledge.net/) for the Representative Concentration Pathway...
Categories: Data; Types: GeoTIFF, Raster; Tags: Birds, Brewer's Sparrow (Spizella breweri), Brown Creeper (Certhia americana), Chipping Sparrow (Spizella passerina), Data Visualization & Tools, All tags...
thumbnail
This digital terrain model represents historical elevations along the valley of the North Fork Toutle River upstream of its confluence with the Green River in Cowlitz and Skamania Counties, Washington. Most elevations were derived from U.S. Geological Survey 1:62,500 scale topographic quadrangle maps published from 1953 to 1958 that were derived from aerial photographs taken in 1951 and 1952. Elevations representing the bed of Spirit Lake, at the head of the valley, were derived from a bathymetric map based on survey data from 1974. Elevations are in units of meters and have been adjusted to the North American Vertical Datum of 1988.
thumbnail
In 2016, the U.S. Army Corps of Engineers (USACE) started collecting high-resolution multibeam echosounder (MBES) data on Lake Koocanusa. The survey originated near the International Boundary (River Mile (RM) 271.0) and extended down the reservoir, hereinafter referred to as downstream, about 1.4 miles downstream of the Montana 37 Highway Bridge near Boulder Creek (about RM 253). USACE continued the survey in 2017, completing a reach that extended from about RM 253 downstream to near Tweed Creek (RM 244.5). In 2018, the U.S. Geological Survey (USGS) Idaho Water Science Center completed the remaining portion of the reservoir from RM 244.5 downstream to Libby Dam (RM 219.9). The MBES data collected in 2016 and 2017...
thumbnail
In 2004, about 90 migrating elk drowned after attempting to cross thin ice on the Mores Creek arm of Lucky Peak Lake upstream of the Highway 21 bridge. To better understand the depths over a range of reservoir pool elevations in the Mores Creek Arm, the U.S. Geological Survey, in cooperation with the Lucky Peak Power Plant Project, conducted high-resolution multibeam echosounder (MBES) bathymetric surveys on the Mores Creek arm on Lucky Peak Lake. The MBES data will assist reservoir managers and wildlife biologists with regulating reservoir water surface elevations (WSE) to support successful big game migration across Mores Creek on Lucky Peak Lake. Data collection provided nearly 100 percent coverage of bed elevations...
thumbnail
Terrestrial ecosystems are vulnerable to future changes in the global climate, including increased temperatures, changing precipitation patterns, and changes in vegetation. Information on the potential effects of climate change on bird communities can help guide effective conservation and inform land management decisions. We used output from MC2, a dynamic global vegetation model (DGVM), and climate models to inform the potential distribution of vegetation types based on hybrid vegetation maps dervied from the GAP vegetation classification system. These hybrid vegetation models were then used to inform bird distribution models0. The data covers three time periods (1970-1999), (2035-2064), and (2070-2099) for 59...
Categories: Data; Types: GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: Birds, Birds, California Central Valley Mixed Oak Savanna, California Central Valley Riparian Woodland and Shrubland, California Coastal Live Oak Woodland and Savanna, All tags...


    map background search result map search result map Vegetation data for 1970-1999, 2035-2064, and 2070-2099 for 59 vegetation types Avian Abundance Data for Current (1980-2009) and Future (2035-2064) time periods in Oregon and Washington Lake Koocanusa Digital Elevation Model (DEM), Lincoln County, Montana Sensitivity and precision of stream permanence estimates (1977-2019) from the USGS Thornthwaite Monthly Water Balance Model in the Pacific Northwest, USA Mores Creek Arm Bathymetric Survey - Depth DEM, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 Mores Creek Arm Bathymetric Survey - Elevation DEM, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 Digital terrain model of upper North Fork Toutle River valley, Washington, derived from historical topographic maps Updated Probability of Streamflow Permanence (PROSPER) Model Output Layers for the Pacific Northwest region, 2004 - 2016 Mores Creek Arm Bathymetric Survey - Depth DEM, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 Mores Creek Arm Bathymetric Survey - Elevation DEM, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 Digital terrain model of upper North Fork Toutle River valley, Washington, derived from historical topographic maps Lake Koocanusa Digital Elevation Model (DEM), Lincoln County, Montana Avian Abundance Data for Current (1980-2009) and Future (2035-2064) time periods in Oregon and Washington Sensitivity and precision of stream permanence estimates (1977-2019) from the USGS Thornthwaite Monthly Water Balance Model in the Pacific Northwest, USA Updated Probability of Streamflow Permanence (PROSPER) Model Output Layers for the Pacific Northwest region, 2004 - 2016 Vegetation data for 1970-1999, 2035-2064, and 2070-2099 for 59 vegetation types