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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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More than 35,000 lakes larger than 0.01 sq. km. were extracted from an airborne interferometric synthetic aperture radar (IfSAR) derived digital surface model acquired between 2002 and 2006 for the Western Arctic Coastal Plain of northern Alaska. The IfSAR derived lake data layer provides an improvement over previously available datasets for the study area since it is more comprehensive and contemporary. Attributes assigned to the IfSAR-derived lake dataset include: area, lake elevation, elevation in 10, 25, 50, and 100 m buffers around a lake perimeter, the difference in elevation between the lake and these various buffers, whether a particular lake had a detectable drainage gradient exceeding 1.2 m, whether a...
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This dataset includes Snow Free Date(sfdy) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Free Date is defined as day of the end of the core snow period(day of year). The core snow season is defined to be the longest period of continuous snow cover in each year. The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.“Day-of-year” (doy) output is expressed in Ordinal dates (“1” on 1 January, and “365” on 31 December). Dates have not been corrected for leap years. This output is appropriate for display purposes, as it is readily interpreted as calendar day of year. It is not recommended as input for analysis, as it may produce incorrect...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Arctic Landscape Conservation Cooperative data.gov, All tags...
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This dataset includes Snow Depth(snod) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Depth is defined as depth on 1 March(m). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The dataset is delivered in the ZIP archive file format. Each year is output in a separate GeoTiff file, where the year is indicated by the filename.Over the last 20 years, under a variety of NOAA, NSF, and NASA research programs, a snow-evolution modeling system has been developed that includes the MicroMet micrometeorological model, the SnowModel snow-process model, and the SnowAssim data assimilation model. These modeling tools can be thought of as...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Arctic Landscape Conservation Cooperative data.gov, All tags...
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Baseline (1961-1990) average winter temperature in and projected change in temperature for for the northern portion of Alaska. For the purposes of these maps, ‘winter’ is defined as December - February. The Alaska portion of the Arctic LCC’s terrestrial boundary is depicted by the black line. Baseline results for 1961-1990 are derived from Climate Research Unit (CRU) TS3.1 data and downscaled to 2km grids; results for the other time periods (2010-2039, 2040-2069, 2070-2099) are based on the SNAP 5-GCM composite using the AR5-RCP 8.5, downscaled to 2km grids.
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Stream physical parameter time series files for six or more beaded streams on the North Slope of Alaska in the Fish Creek Watershed near Nuiqsut. These include time series of water temperature (pool bed and surface and channel runs) and pool stage and correspond stream discharge developed from a rating curve.
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The Gyrfalcon, the largest falcon, is an iconic bird of the circumpolar arctic and subarctic. Thisspecies nests primarily on precipitous cliff faces and typically utilizes nests built by other species(particularly Common Raven, Golden Eagle, and Rough-legged Hawk) (Booms et al. 2008).Gyrfalcon main prey includes bird species ranging in size from passerines to geese whileptarmigan are the preferred prey. Although not well documented, in winter this species movessouth throughout Canada and sometimes into the northern lower 48. Current population on theNorth Slope (tundrius subspecies) is estimated at 250 breeding pairs (USFWS 2000).
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The Pectoral Sandpiper is one of the most abundant breeding birds on the Arctic Coastal Plain ofAlaska. They typically have low nest site fidelity which is likely related to their promiscuousmating strategy, thus nest densities are highly variable from year to year at a given site (Holmesand Pitelka 1998). In Arctic Alaska, primary breeding habitat includes low-lying ponds in a mixof marshy to hummocky tundra and nests are typically placed in slightly raised or better drainedsites (Holmes and Pitelka 1998). Pectoral Sandpipers spend their winters primarily in southernSouth America (Holmes and Pitelka 1998). The current North American population estimate is500,000 and they are believed to be declining (Morrison et...
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The Wildlife Conservation Society will assess the climate change vulnerability of bird species that regularly breed in substantial populations in Alaska using the NatureServe Climate Change Vulnerability Index (CCVI) tool. Initial work will focus on breeding birds in Arctic Alaska including shorebirds, waterfowl and waterbird species (loons, gulls, terns, jaegers), and land bird species (passerines, raptors, ptarmigan).
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This dataset represents a species distribution model for least tern (Sternula antillarum) on New Jersey's Atlantic coast and was created as part of the Protection of Critical Beach Habitat project. In addition to least tern, this project includes species distribution models for piping plover (Charadrius melodus), American oystercatcher (Haematopus palliatus), and black skimmer (Rynchops niger). All species models can be found in the Data Basin gallery Protection of Critical Beach-nesting Bird Habitats in the Wake of Severe Coastal Storms. Species distribution modeling was conducted to examine the influence of landscape scale variables and beach management strategies on bird breeding habitat suitability. The probability...
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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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Map of the Fish and Judy Creek Area and location of proposed observation sites (numbered circles). Fish Creek, Judy Creek, and the Ublutuoch River are almost entirely within the Beaufort Coastal Plain Ecoregion, though a small portion of Judy Creek extends into the Brooks Foothills. Inset shows the location of the seven TEON focal watersheds. Image by Arctic LCC staff.
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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This pilot project has initiated a long-term integrated modeling project that aims todevelop a dynamically linked model framework focused on climate driven changes tovegetation, disturbance, hydrology, and permafrost, and their interactions and feedbacks.This pilot phase has developed a conceptual framework for linking current state-of-thesciencemodels of ecosystem processes in Alaska – ALFRESCO, TEM, GIPL-1 – and theprimary processes of vegetation, disturbance, hydrology, and permafrost that theysimulate. A framework that dynamically links these models has been defined and primaryinput datasets required by the models have been developed.
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The U.S. Great Plains is known for frequent hazardous convective weather and climate extremes. Across this region, climate change is expected to cause more severe droughts, more intense heavy rainfall events, and subsequently more flooding episodes. These potential changes in climate will adversely affect habitats, ecosystems, and landscapes as well as the fish and wildlife they support. Better understanding and simulation of regional precipitation can help natural resource managers mitigate and adapt to these adverse impacts. In this project, we aim to achieve a better precipitation downscaling in the Great Plains with the Weather Research and Forecast (WRF) model and use the high quality dynamic downscaling results...
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More than 35,000 lakes larger than 0.01 sq. km. were extracted from an airborne interferometric synthetic aperture radar (IfSAR) derived digital surface model acquired between 2002 and 2006 for the Western Arctic Coastal Plain of northern Alaska. The IfSAR derived lake data layer provides an improvement over previously available datasets for the study area since it is more comprehensive and contemporary. Attributes assigned to the IfSAR-derived lake dataset include: area, lake elevation, elevation in 10, 25, 50, and 100 m buffers around a lake perimeter, the difference in elevation between the lake and these various buffers, whether a particular lake had a detectable drainage gradient exceeding 1.2 m, whether a...
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Average historical annual total precipitation (mm) and projected relative change in total precipitation (% change from baseline) for Northern Alaska. 30-year averages. Handout format. Maps created using the SNAP 5-GCM composite (AR5-RCP 8.5) and CRU TS3.1.01 datasets.


map background search result map search result map CoSMoS 3.0 Phase 2 ocean-currents hazards: 1-year storm in Santa Barbara County CoSMoS 3.0 Phase 2 ocean-currents hazards: 1-year storm in Ventura County CoSMoS 3.0 Phase 2 water level projections: average conditions in Orange County SNOWDATA GeoTIFF Annual Snow Free Date (year) Western Arctic Coastal Plain, IfSAR DSM Mosaic Footprint SNOWDATA GeoTIFF Annual Snow Depth Western Arctic Coastal Plain, Coastline and Coastal Features Pectoral Sandpiper Fish/Judy Creek Watershed map Alaska Integrated Ecosystem Model Pilot Year Final Report Fish Creek Watershed Data Annual Temperature Maps - RCP 6.0, Fahrenheit Gyrfalcon Climate Change Vulnerability of Migrating Bird Species Breeding in Arctic Alaska Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Annual Precipitation Maps - RCP 8.5, Millimeters CoSMoS v3.0 water level projections: 100-year storm in Channel Islands Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System Species distribution model for least tern on New Jersey’s Atlantic Coast, 2007-2012 CoSMoS 3.0 Phase 2 ocean-currents hazards: 1-year storm in Ventura County Species distribution model for least tern on New Jersey’s Atlantic Coast, 2007-2012 CoSMoS v3.0 water level projections: 100-year storm in Channel Islands Fish Creek Watershed Data Western Arctic Coastal Plain, IfSAR DSM Mosaic Footprint Western Arctic Coastal Plain, Coastline and Coastal Features Fish/Judy Creek Watershed map Pectoral Sandpiper Gyrfalcon Climate Change Vulnerability of Migrating Bird Species Breeding in Arctic Alaska SNOWDATA GeoTIFF Annual Snow Free Date (year) SNOWDATA GeoTIFF Annual Snow Depth Alaska Integrated Ecosystem Model Pilot Year Final Report Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System Annual Temperature Maps - RCP 6.0, Fahrenheit Annual Precipitation Maps - RCP 8.5, Millimeters