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These data were compiled as a supplement to a previously published journal article (Bradford et al., 2019), that employed a ecosystem water balance model to characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America. Also, these data are associated with a published USGS data release (Bradford and Schlaepfer, 2019). The objectives of our study were to (1) characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America, (2) evaluate the impact of these changes on estimation of resilience and resistance among a representative set of climate scenarios. These data represent geographic patterns...
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The permafrost module of the Alaska Integrated Ecosystem Model (AIEM) is used to establish high spatial resolution scenario of changes in permafrost characteristics in the Alaskan Arctic in response to projected climate change. Retrospective modeling was performed for the 1901-2009 period using the high resolution CRU TS3.1 climate forcing from the Scenario Network for Alaska Planning (SNAP). To predict future changes in permafrost in natural conditions, a five model composite climate forcing (2006-2100) under the Representative Concentration Pathways (RCP) 4.5 scenario is utilized. In particular, the temperature and precipitation of models (NCAR-CCSM4, GFDL-CM3, GISS-E2R, IPSL-CM5A-LR, and MRI-CGCM3) are considered....
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These rasters represent output from the Boreal ALFRESCO (Alaska Frame Based Ecosystem Code) model. Boreal ALFRESCO operates on an annual time step, in a landscape composed of 1 x 1 km pixels, a scale appropriate for interfacing with mesoscale climate and carbon models. 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. Coverage of this dataset includes much of the state of Alaska (but does exclude Southeastern AK, Kodiak Island, portions of the Alaska Peninsula, and the Aleutian Islands)....
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Potential Evapotranspiration (PET): These data represent decadal mean totals of potential evapotranspiration estimates (mm). The file name specifies the decade the raster represents. For example, a file named pet_mean_mm_decadal_CCCMA_CGCM31_A1B_annual_2000-2009.tif represents the decade spanning 2000-2009. The data were generated by using the Hamon equation and output from CCCMA (also CGCM3.1), a third generation coupled global climate model created by the Canadian Centre for Climate Modeling and Analysis. Data are at 2km x 2km resolution, and all data are stored in geotiffs. Calculations were performed using R 2.12.1 and 2.12.2 for Mac OS Leopard, and data were formatted into geotiffs using the raster and rgdal...
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Potential Evapotranspiration (PET): These data represent decadal mean totals of potential evapotranspiration estimates (mm). The file name specifies the decade the raster represents. For example, a file named pet_mean_mm_decadal_MPI_ECHAM5_A1B_annual_2000-2009.tif represents the decade spanning 2000-2009. The data were generated by using the Hamon equation and output from ECHAM5, a fifth generation general circulation model created by the Max Planck Institute for Meteorology in Hamburg Germany. Data are at 2km x 2km resolution, and all data are stored in geotiffs. Calculations were performed using R 2.12.1 and 2.12.2 for Mac OS Leopard, and data were formatted into geotiffs using the raster and rgdal packages. Users...
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Potential Evapotranspiration (PET): These data represent decadal mean totals of potential evapotranspiration estimates (mm). The file name specifies the decade the raster represents. For example, a file named pet_mean_mm_decadal_CRU_Historical_annual_1930-1939.tif represents the decade spanning 1930-1939. The data were generated by using the Hamon equation and output from a statistically downscaled version of the Hadley Centre’s CRU TS3.0 observational dataset. Data are at 2km x 2km resolution, and all data are stored in geotiffs. Calculations were performed using R 2.12.1 and 2.12.2 for Mac OS Leopard, and data were formatted into geotiffs using the raster and rgdal packages. Users are reminded that the PET estimates...
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This raster, created in 2010, is output from the Geophysical Institute Permafrost Lab (GIPL) model and represents simulated active layer thickness (ALT) in meters averaged across a decade. The file name specifies the decade the raster represents. For example, a file named ALT_1980_1989.tif represents the decade spanning 1980-1989. Cell values represent simulated maximum depth (in meters) of thaw penetration (for areas with permafrost) or frost penetration (for areas without permafrost). If the value of the cell is positive, the area is underlain by permafrost and the cell value specifies the depth of the seasonally thawing layer above permafrost. If the value of the cell is negative, the ground is only seasonally...
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The Imiq Hydroclimate Database houses hydrologic, climatologic, and soils data collected in Alaska and Western Canada from the early 1900s to the present. This database unifies and preserves numerous data collections that have, until now, been stored in field notebooks, on desktop computers, as well as in disparate databases. Synthesizing and analyzing the large-scale hydroclimate characteristics of this important climatic region have been made easier with this searchable database. The data, originally collected in a Microsoft SQL Server 2008 relational database, has been migrated to an open source PostgreSQL and PostGIS environment. The Imiq Data Portal provides public access to portions of the Imiq Hydroclimate...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ABLATION, ABLATION, ACTIVE LAYER, ACTIVE LAYER, ALBEDO, All tags...
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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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We mosaicked twelve LandSat-8 OLI satellite images taken during the summer of 2014, which were used in an object based image analysis (OBIA) to classify the landscape. We mapped seventeen of the most dominant geomorphic land cover classes on the ACP: (1) Coastal saline waters, (2) Large lakes, (3) Medium lakes, (4) Small lakes, (5) Ponds, (6) Rivers, (7) Meadows, (8) Coalescent low-center polygons, (9) Low-center polygons, (10) Flat-center polygons, (11) High-center polygons, (12) Drained slope, (13) Sandy barrens, (14) Sand dunes, (15) Riparian shrub, (16) Ice, and (17) Urban (i.e. towns and roads). Mapped products were validated with an array of oblique aerial/ground based photography (Jorgenson et al., 2011)...
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This raster, created in 2010, is output from the Geophysical Institute Permafrost Lab (GIPL) model and represents simulated mean annual ground temperature (MAGT) in Celsius, averaged across a decade, at the base of active layer or at the base of the seasonally frozen soil column. The file name specifies the decade the raster represents. For example, a file named MAGT_1980_1989.tif represents the decade spanning 1980-1989. Cell values represent simulated mean annual ground temperature (degree C) at the base of the active layer (for areas with permafrost) or at the base of the soil column that is seasonally frozen (for areas without permafrost). If the value of the cell is negative,the area has permafrost and the...
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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 Terrestrial Environmental Observation Network (TEON) is intended to meet the need for a sustainable environmental observing network for northern Alaska. The TEON plan proposes collection of a time series of specific environmental variables in seven representative watersheds across northern Alaska. The Kuparuk River watershed is central to this plan both because of its location that bisects Alaska’s North Slope and its record of hydroclimatic data and research now surpassing 30-yrs. Nested catchments within and adjacent to this sentinel Arctic river system integrate climate and landscape responses from the Brooks Range foothills (Imnavait Creek and Upper Kuparuk River) to the Arctic Coastal Plain (Putuligayuk...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ATMOSPHERE, ATMOSPHERE, Academics & scientific researchers, All tags...
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Map of the Upper Koyukuk River Area and location of proposed observation sites (numbered circles). This large area drains the southern Brooks Range ecoregion and extends downstream into the Kobuk Ridges and Valleys outside of the Arctic LCC boundary. Compared to other sites in TEON, these rivers are larger basins and reflect higher relief landscapes. Inset shows the location of the seven TEON focal watersheds. Image by Arctic LCC staff.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ATMOSPHERE, ATMOSPHERE, Academics & scientific researchers, All tags...
Presented by Don Spalinger & Nathan WolfThis seminar focuses on our concepts of regulation of nutrient flows through tundra ecosystems and the effect that climate (or weather) has on these processes. Nutrient flow and climate, in turn, should regulate plant phenology and production, and thus caribou behavior and nutrition. We will present some ideas for assessing the landscape patterns of these processes and monitoring their impacts. Finally, we will provide examples of such assessment and monitoring processes from our work in Western Alaska over the past two years.​
Categories: Data; Tags: ALPINE/TUNDRA, ALPINE/TUNDRA, CARBON, CARBON, CARBON CYCLE/CARBON BUDGET MODELS, All tags...
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Time-series measurements of waves, currents, water levels, sea surface temperatures, ocean salinity, and water, air, and ground temperatures were collected in July through September 2011 in and around Arey Lagoon, near Barter Island, Alaska. Directional wave spectra, currents, water levels, salinity, and bottom and surface water temperatures were measured with a bottom-mounted 1MHz Nortek AWAC, HOBO temperature loggers, and a Solinst Levelogger in ~5m water depth offshore of Arey Island. Within Arey Lagoon, a bottom-mounted frame equipped with a Nortek 1MHz Aquadopp, Solinst Levelogger, and HOBO temperature loggers measured currents, water levels, and water temperatures. Ground temperatures (maximum depth 3 meters...
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Evaluating technologies and approaches to identify the movement of fine sediment over coarser substrate has implications for monitoring the condition of habitat restoration sites. This goal motivated testing the efficacy of Fiber Optic Distributed Temperature Sensing (FO-DTS) as a technique for detecting the migration of sand bedforms over coarser bed material. Experiments were conducted in a laboratory flume at the USGS Geomorphology and Sediment Transport Laboratory (GSTL) in Golden, Colorado. An approximately 20-meter length of fiber optic cable was placed in the flume. The first 5 meter segment of cable was buried in approximately 5 centimeters of gravel substrate and extended from the upstream (top) to the...
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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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These rasters represent output from the Boreal ALFRESCO (Alaska Frame Based Ecosystem Code) model. Boreal ALFRESCO operates on an annual time step, in a landscape composed of 1 x 1 km pixels, a scale appropriate for interfacing with mesoscale climate and carbon models. 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. Coverage of this dataset includes much of the state of Alaska (but does exclude Southeastern AK, Kodiak Island, portions of the Alaska Peninsula, and the Aleutian Islands)....


map background search result map search result map Simulated permafrost dynamics across the Alaskan North Slope region in the 20th and 21st centuries TEON: Terrestrial Environmental Observation Network Imiq - Hydroclimate Database and Data Portal Alaskan Arctic Coastal Plain Polygonal Geomorphology Map Integrated Ecosystem Model Reports Stand Age Projections 2060-2069 Mean Annual Ground Temperature 2060-2069 Stand Age Projections 2080-2089 Active Layer Thickness 1990-1999 Potential Evapotranspiration 1920-1929: CRU Historical Dataset Potential Evapotranspiration 2020-2029: ECHAM5 - A1B Scenario TEON Watersheds and Observation Sites map Upper Koyukuk River Watershed map Historical Stand Age 1940-1949 Potential Evapotranspiration 2000-2009: CCCMA - A1B Scenario Historical Stand Age 1960-1969 Wave time-series data collected in 2011 in the vicinity of Arey Lagoon and Barter Island, Alaska Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, fall 2019 High-resolution maps of historical and 21st century soil temperature and moisture data using multivariate matching algorithms for drylands of western U.S. and Canada Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, fall 2019 Wave time-series data collected in 2011 in the vicinity of Arey Lagoon and Barter Island, Alaska TEON: Terrestrial Environmental Observation Network TEON Watersheds and Observation Sites map Upper Koyukuk River Watershed map Alaskan Arctic Coastal Plain Polygonal Geomorphology Map Simulated permafrost dynamics across the Alaskan North Slope region in the 20th and 21st centuries Imiq - Hydroclimate Database and Data Portal High-resolution maps of historical and 21st century soil temperature and moisture data using multivariate matching algorithms for drylands of western U.S. and Canada Integrated Ecosystem Model Reports Stand Age Projections 2060-2069 Mean Annual Ground Temperature 2060-2069 Stand Age Projections 2080-2089 Active Layer Thickness 1990-1999 Potential Evapotranspiration 1920-1929: CRU Historical Dataset Potential Evapotranspiration 2020-2029: ECHAM5 - A1B Scenario Historical Stand Age 1940-1949 Potential Evapotranspiration 2000-2009: CCCMA - A1B Scenario Historical Stand Age 1960-1969