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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 6.0) and CRU TS3.1.01 datasets.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arctic Landscape Conservation Cooperative data.gov,
Interested public,
LCC Network Science Catalog,
PRECIPITATION,
PRECIPITATION,
Researchers from the University of Alaska Fairbanks (UAF) willinvestigate glacier-climate interactions within the ArcticNational Wildlife Refuge, including impacts of glacier change onthe downstream aquatic ecosystems. This work builds upon theonly long-term monitoring program of glaciers in Arctic Alaska.
There is a great deal of interest in whether and how Alaska’s precipitation is changing but little agreement in the existing peer-reviewed literature. To provide insight on this question, we have selected three commonly used 0.5° resolution gridded precipitation products that have long-term monthly data coverage (Climatic Research Unit TS3.10.1, Global Precipitation Climatology Centre Full Data Reanalysis version 5, and University of Delaware version 2.01) and evaluated their homogeneity and trends with multiple methods over two periods, 1950–2008 and 1980–2008. All three data sets displayed common broadscale features of Alaska’s precipitation climatology, but there were substantial differences between them in terms...
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.
Regional map showing the location of the TEON focal watersheds (colored polygons). White circles denote the locations of proposed observation sites. Collectively, these watersheds sample the major ecoregions (Nowacki et al., 2001) represented within the Alaska portion of the Arctic LCC.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AIR TEMPERATURE,
AIR TEMPERATURE,
ATMOSPHERE,
ATMOSPHERE,
Academics & scientific researchers,
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)...
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...
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.
The Beaufort Sea coast in arctic Alaska and neighboring northern Canada has recently experienced extreme and accelerated climate change, including a dramatic reduction in summer sea ice (Gildor and Tziperman 2003, Holland et al. 2006). This absence of ice allows increased wind and wave energy to directly affect the coast, resulting in island and mainland flooding, coastal erosion, and further movement of barrier islands and beaches. The period each year in which the arctic is free of summer ice is increasing and is predicted to increase non-linearly in the future. This suggests a “tipping point” has been reached, producing internal feedback mechanisms that will further accelerate coastal change (Comiso et al., 2008).These...
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,
This polygon feature class represent areas surveyed for yellow-billed loons (Gavia adamsii) and is one component of the Yellow-billed Loon Geodatabase. This database is intended to be a qualitative “first look” at where yellow-billed loons have been recorded and where surveys have been conducted. This spatial dataset is intended for general planning and mapping purposes rather than for deriving density estimates. The geodatabase is comprised of two feature classes (observations and survey_poly) and two tables (incidental_attributes and reference_information)
The Bureau of Land Management- Arctic Field Office has a requirement for coordinating research andmonitoring projects related to the effectiveness of stipulations and surface resource impacts in theNational Petroleum Reserve - Alaska. Yellow-billed Loons are among the least common breeding birdsin the mainland United States and the U.S. breeding population is concentrated largely within theNational Petroleum Reserve – Alaska (NPR-A). Interest in developing the oil and gas reserves withinNPR-A has increased within the last 10 years, along with a need for better information with which toprotect loon populations. Fundamental to protection strategies is a good understanding of distributionand abundance.
Permafrost is a unique characteristic of polar regions and high mountains and is fundamentalto geomorphic processes and ecological development in permafrost-affected environments.Because permafrost impedes drainage and ice-rich permafrost settles upon thawing, degradationof permafrost in response to climate change will have large consequences for tundra and borealecosystems (Osterkamp 2005, Jorgenson and Osterkamp 2005, Shur and Osterkamp 2007,Jorgenson et al. 2010, 2013). Thawing permafrost affects surface hydrology by impoundingwater in subsiding areas and enhances drainage of upland areas. Changes in soil drainage altersoil carbon dynamics, habitats for vegetation and wildlife, and emissions of greenhouse gases(Ping...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ACTIVE LAYER,
Arctic Landscape Conservation Cooperative data.gov,
CRYOSPHERE,
FROZEN GROUND,
GEOGRAPHIC INFORMATION SYSTEMS,
Interactions and feedbacks between abundant surface waters and permafrost fundamentally shapelowland Arctic landscapes. Sublake permafrost is maintained when the maximum ice thickness (MIT) exceedslake depth and mean annual bed temperatures (MABTs) remain below freezing. However, decliningMIT since the1970s is likely causing talik development below shallow lakes. Here we show high-temperature sensitivity towinter ice growth at the water-sediment interface of shallow lakes based on year-round lake sensor data.Empirical model experiments suggest that shallow (1m depth) lakes have warmed substantially over the last30years (2.4°C), withMABT above freezing5 of the last 7years.This is incomparison to slower ratesofwarming...
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.
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)....
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...
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...
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...
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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