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Information on the nature and distribution of permafrost is critical to assessing the response of Arctic ecosystems to climate change, because thawing permafrost under a warming climate will cause thaw settlement and affect micro-topography, surface water redistribution and groundwater movement, soil carbon balance, trace gas emissions, vegetation changes, and habitat use. While a small-scale regional permafrost map is available, as well as information from numerous site-specific large-scale mapping projects, landscape-level mapping of permafrost characteristics is needed for regional modeling and climate impact assessments. The project addresses this need by: (1) compiling existing soil/permafrost data from available...
The western coastline of Alaska spans over 10,000 km of diverse topography ranging from low lying tundra in the north to sharp volcanic relief in the south. Included in this range are areas highly susceptible to powerful storms which can cause coastal flooding, erosion and have many other negative effects on the environment and commercial efforts in the region. In order to better understand the multi-scale and interactive physics of the deep ocean,continental shelf, near shore, and coast, a large unstructured domain hydrodynamic model is being developed using the finite element, free surface circulation code ADCIRC.This model is a high resolution, accurate, and robust computational model of Alaska’s coastal environment...
The Integrated Ecosystem Model (IEM) for Alaska and Northwest Canada Project integrated existing models of vegetation, disturbance, and permafrost into one complete ecosystem model for the state of Alaska and Northwest Canada.The final synchronized model will integrate existing climate, vegetation, disturbance, hydrology, and permafrost models to improve understanding of potential landscape, habitat and ecosystem change. The project’s (September 1, 2011 through August 31, 2016) primary goal was to develop the IEM modeling framework to integrate the driving components for and the interactions among disturbance regimes, permafrost dynamics, hydrology, and vegetation succession/migration for Alaska and Northwest Canada....
This project resulted in an extensive mapping of coastal change along the entire coastline of the Western Alaska Landscape Conservation Cooperative (LCC). The work provides important baseline information on the distribution and magnitude of landscape changes over the past 41 years. The extent of change to the coastline and to coastal features, such as spits, barrier islands, estuaries, tidal guts and lagoons, was known to be substantial in some areas along the coast (e.g., portions of the Yukon–Kuskokwim Delta), although the extent of change along the full Bering Sea coast was not well documented. With this analysis, changes can be summarized for different land ownerships or other units to assess the extent of recent...
Categories: Data; Tags: BARRIER ISLANDS, BARRIER ISLANDS, BARRIER ISLANDS, BARRIER ISLANDS, COASTAL AREAS, All tags...
This project resulted in an extensive mapping of coastal change along the entire coastline of the Western Alaska Landscape Conservation Cooperative (LCC). The work provides important baseline information on the distribution and magnitude of landscape changes over the past 41 years. The extent of change to the coastline and to coastal features, such as spits, barrier islands, estuaries, tidal guts and lagoons, was known to be substantial in some areas along the coast (e.g., portions of the Yukon–Kuskokwim Delta), although the extent of change along the full Bering Sea coast was not well documented. With this analysis, changes can be summarized for different land ownerships or other units to assess the extent of recent...
Categories: Data; Tags: BARRIER ISLANDS, BARRIER ISLANDS, BARRIER ISLANDS, BARRIER ISLANDS, COASTAL AREAS, 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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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 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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The Integrated Ecosystem Model is designed to help resource managers understand the nature and expected rate of landscape change. Maps and other products generated by the IEM will illustrate how arctic and boreal landscapes are expected to alter due to climate-driven changes to vegetation, disturbance, hydrology, and permafrost. The products will also provide resource managers with an understanding of the uncertainty in the expected outcomes.
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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, Academics & scientific researchers, 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, Academics & scientific researchers, All tags...
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Information on the nature and distribution of permafrost is critical to assessing the response of Arctic ecosystems to climate change, because thawing permafrost under a warming climate will cause thaw settlement and affect micro-topography, surface water redistribution and groundwater movement, soil carbon balance, trace gas emissions, vegetation changes, and habitat use. While a small-scale regional permafrost map is available, as well as information from numerous site-specific large-scale mapping projects, landscape-level mapping of permafrost characteristics is needed for regional modeling and climate impact assessments. The project addresses this need by: (1) compiling existing soil/permafrost data from available...
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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)...
The ALCC has asked the U.S. Institute for Environmental Conflict Resolution (U.S. Institute) to assist them in engaging a third-party neutral facilitator who can work with the steering committee to identify key landscape scale resource management needs common to many of the ALCC partners. The overall goals of this project are twofold. One is to identify key future landscape scale resource management and science needs that are common to many of the ALCC partners, and in doing so, increase understanding of future landscape scale information needs among the ALCC steering committee members.
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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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Hydrologic processes greatly influence Alaska’s physical and biological resources and the human communities that depend upon them. These processes will also be greatly impacted by expected changes in climate, including warming temperatures and changing seasonal precipitation patterns and amounts. However, current understanding of those impacts is limited. Improving that understanding is a first step toward assessing how the likely changes in hydrology will impact other physical and biological processes. The Western Alaska LCC and the Alaska Climate Science Center, with support from other LCCs, hosted a workshop of 28 hydrologists, researchers, fisheries biologists, local experts and managers for a workshop structured...
Changes to the coastline and to coastal features, such as spits, barrier islands, estuaries, tidal guts and lagoons were mapped for over 22,000 km of coastline along the Bering Sea and Gulf of Alaska coasts in western Alaska. Changes to rivers and lakes near the coast were also captured. The analysis was based on time-series analysis of Landsat imagery, 1972–2013. An annual imeseries of suitable Landsat imagery was compiled and analyzed for changes in near-infrared reflectance to identify areas that transitioned from land to water, or vice-versa, over the study period. The timing of changes was also identified. Thousands of coastal changes over the 42-year study period exceeded the 60-m pixel resolution of the Multispectral...
Categories: Data; Tags: BARRIER ISLANDS, BARRIER ISLANDS, BARRIER ISLANDS, BARRIER ISLANDS, COASTAL AREAS, All tags...
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Alaska’s freshwater resources, vitally important for salmon and other species, are vulnerable to changes resulting from climate change. Though temperature is a critical element in the suitability of aquatic habitats, Alaska’s stream and lake temperature monitoring is occurring through independent agencies/partners without a means to link and share data. Because a coordinated network of monitoring data can help scientists and managers understand how aquatic systems are responding to climate change, conducting an inventory of past and present stream and lake temperature monitoring efforts has been identified as a priority science need for Alaska. This project consolidated existing monitoring site locations and attributes...


map background search result map search result map Permafrost Database Development, Characterization, and Mapping for Northern Alaska SNOWDATA GeoTIFF Annual Snow Free Date (year) SNOWDATA GeoTIFF Annual Snow Depth Alaskan Arctic Coastal Plain Polygonal Geomorphology Map Development and Application of an Integrated Ecosystem Model for Alaska Webinar (2015) AK-OATS Alaska Stream and Lake Temperature Monitoring Workshop November 2012 Integrated Ecosystem Model Reports IEM-CSC Factsheet with Supplement, 2015 Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Historical Stand Age 1960-1969 Historical Stand Age 1910-1919 Permafrost Database Development, Characterization, and Mapping for Northern Alaska Alaskan Arctic Coastal Plain Polygonal Geomorphology Map Permafrost Database Development, Characterization, and Mapping for Northern Alaska Permafrost Database Development, Characterization, and Mapping for Northern Alaska SNOWDATA GeoTIFF Annual Snow Free Date (year) SNOWDATA GeoTIFF Annual Snow Depth Alaska Stream and Lake Temperature Monitoring Workshop November 2012 Integrated Ecosystem Model Reports IEM-CSC Factsheet with Supplement, 2015 Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Historical Stand Age 1960-1969 Historical Stand Age 1910-1919 Webinar (2015) AK-OATS