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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....
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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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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...
Research on coastal change in Western Alaska has increased rapidly in recent years, making it challenging to track existing projects, understand their cumulative insights, gauge remaining research gaps, and prioritize future research. This project identified existing coastal change projects in Western Alaska that were happening in 2014, scheduled for 2015 or occured in 2012-2014. The report (below) provides a synthesis of information about each project category, and an associated online database (see ACCAP project page link below) describes individual projects and information on how to contact the project leader. These products document the project landscape for communities facing change, decision-makers navigating...
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This dataset includes Snow Up Date(sudt) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Up Date is defined as day of the start of the core snow period(day of simulation). 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.The simulation period runs from 1 September – 31 August. “Day-of-simulation” takes the value of “1” on 1 September, “123” on 1 January, and “365” on 31 August. “Day-of-simulation” files should be used for analysis (trend, mean, etc.).The dataset is delivered in the ZIP archive file format. Each year is output in a...
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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Our overarching questions are: (1) How much of the river water and water-borne constituents (i.e. sediment, nutrients, organic matter) from the Jago, Okpilak and Hulahula rivers are coming from glacier melt? (2) How do inputs from these rivers affect the downstream ecosystems? (3) How will loss of glaciers affect these ecosystems? The study will help elucidate how inputs from glacier-dominated arctic rivers differ from unglaciated rivers, through a combination of ground work, boat work, and remote sensing. In Phase One of this study, we intend to explore the relationship between glaciers and coastal ecosystems. Our goal in this phase-one study is not to answer these questions conclusively but rather improve our...
The western coastline of Alaska is highly susceptible to coastal storms, which can cause coastal erosion, flooding, and have other pernicious effects to the environment and commercial efforts. The reduction in ice coverage due to climate change could potentially increase the frequency and degree of coastal flooding and erosion. Further, estuaries and delta systems act as conduits for storm surges, so when there is less nearshore ice coverage, these systems could introduce storm surge into terrestrial environments unaccustomed to saline intrusion, flooding, or other alien biogeochemical factors.This project quantified the effect of reduced nearshore ice coverage on coastal flooding. The project developed a large...
Categories: Collection, Data; Tags: Academics & scientific researchers, COASTAL AREAS, COASTAL AREAS, COASTAL PROCESSES, COASTAL PROCESSES, All tags...
An integrated high resolution tide and storm surge model has been developedfor all of coastal Alaska. The model uses the ADCIRC basin-to-channelscale unstructured grid circulation code. Tidal forcing from global tidal modelsand meteorological forcing from the Climate Forecast System Reanalysisare used. The model’s tidal solution has been validated at 121 shelf andnearshore stations. The model’s skill has been investigated for summer, falland winter storms. Sea ice has been incorporated through a parameterizedwind drag coefficient which modifies the air-sea drag under ice coverage.Three large storms with distinctly different ice coverages were chosen to exhibitthe effect of sea ice on the resulting storm surge. The...
Categories: Data, Publication; Types: Citation; Tags: Academics & scientific researchers, COASTAL AREAS, COASTAL AREAS, COASTAL PROCESSES, COASTAL PROCESSES, All tags...
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The Integrated Ecosystem Model for Alaska project (IEM) uses down-scaled climate models as the drivers of ecosystem change to produce forecasts of future fire, vegetation, permafrost and hydrology regimes at a resolution of 1km. This effort is the first to model ecosystem change on a statewide scale, using climate change input as a major driving variable. The objectives of the IEM project are as follows; to better understand and predict effects of climate change and other stressors on landscape level physical and ecosystem processes, and to provide support for resource conservation planning.The IEM will provide resource managers with a decision support tool to visualize future landscapes in Alaska. Model outputs...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, DYNAMIC VEGETATION/ECOSYSTEM MODELS, DYNAMIC VEGETATION/ECOSYSTEM MODELS, Datasets/Database, Federal resource managers, All tags...
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This paper explores the impacts of shrinking glaciers on downstream ecosystems in the Arctic National Wildlife Refuge. Glaciers here are losing mass at an accelerating rate and will largely disappear in the next 50–100 years if current trends continue. We believe this will have a measurable and possibly important impact on the terrestrial and estuarine ecosystems and the associated bird and fish species within these glaciated watersheds.
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This dataset includes First Snow Date(fsdy) for northern Alaska in GeoTiff format, covering the years 1980-2012. First Snow Date is defined as day of first snow occurrence during the year(day of 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 statistics; “day-of-simulation” (dos) files should be used for that purpose.“Day-of-year”...
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 Annual Average 10-M Air Temperature(tair) for northern Alaska in GeoTiff format, covering the years 1980-2012. Annual Average 10-M Air Temperature is defined as (degrees Celsius). 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...
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 Last Snow Date(lsdy) for northern Alaska in GeoTiff format, covering the years 1980-2012. Last Snow Date is defined as day of last snow occurrence during the year(day of 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 statistics; “day-of-simulation” (dos) files should be used for that purpose.“Day-of-year”...
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 First Snow Date(fsdt) for northern Alaska in GeoTiff format, covering the years 1980-2012. First Snow Date is defined as day of first snow occurrence during the year(day of simulation). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The simulation period runs from 1 September – 31 August. “Day-of-simulation” takes the value of “1” on 1 September, “123” on 1 January, and “365” on 31 August. “Day-of-simulation” files should be used for analysis (trend, mean, etc.).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,...
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 Solid Precipitation(spre) for northern Alaska in GeoTiff format, covering the years 1980-2012. Solid Precipitation is defined as snowfall(m/yr). 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...
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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The western coastline of Alaska is highly susceptible to coastal storms, which can cause coastal erosion, flooding, and have other pernicious effects to the environment and commercial efforts. The reduction in ice coverage due to climate change could potentially increase the frequency and degree of coastal flooding and erosion. Further, estuaries and delta systems act as conduits for storm surges, so when there is less nearshore ice coverage, these systems could introduce storm surge into terrestrial environments unaccustomed to saline intrusion, flooding, or other alien biogeochemical factors.​This project quantified the effect of reduced nearshore ice coverage on coastal flooding. The project developed a large...
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Through a grant from the US Fish and Wildlife Service on behalf of the Western Alaska Landscape Conservation Cooperative (WALCC), we have developed a comprehensive statewide inventory of current and historic continuous monitoring locations for stream and lake temperature. This project is one component of the LCC’s strategy to help partners understand and prepare for potential climate impacts to freshwater systems across Alaska.This project compiled a statewide catalog of monitoring locations using a common set of attributes. The inventory is fully accessible via an online mapping interface or it can be viewed and queried directly within commercial GIS software. Future LCC projects will entail gathering the aquatic...


map background search result map search result map Integrated Ecosystem Model (AIEM) for Alaska and Northwest Canada SNOWDATA GeoTIFF Annual First Snow Date (year) SNOWDATA GeoTIFF Annual Snow Free Date (year) SNOWDATA GeoTIFF Annual First Snow Date SNOWDATA GeoTIFF Annual Last Snow Date (year) SNOWDATA GeoTIFF Annual Snow Depth SNOWDATA GeoTIFF Annual Average 10-M Air Temperature SNOWDATA GeoTIFF Annual Snow Up Date SNOWDATA GeoTIFF Annual Solid Precipitation Development and Application of an Integrated Ecosystem Model for Alaska AKOATS - Alaska Online Aquatic Temperature Site: An inventory of continuous stream and lake temperature monitoring stations across Alaska Alaska Stream and Lake Temperature Monitoring Workshop November 2012 Potential Evapotranspiration: CCCMA - A1B Scenario Predicting the Impact of Glacier Loss Integrating studies of glacier dynamics and estuarine chemistry in the context of landscape change in the Arctic Refuge Predicting the Impact of Glacier Loss Integrating studies of glacier dynamics and estuarine chemistry in the context of landscape change in the Arctic Refuge SNOWDATA GeoTIFF Annual First Snow Date (year) SNOWDATA GeoTIFF Annual Snow Free Date (year) SNOWDATA GeoTIFF Annual First Snow Date SNOWDATA GeoTIFF Annual Last Snow Date (year) SNOWDATA GeoTIFF Annual Snow Depth SNOWDATA GeoTIFF Annual Average 10-M Air Temperature SNOWDATA GeoTIFF Annual Snow Up Date SNOWDATA GeoTIFF Annual Solid Precipitation Alaska Stream and Lake Temperature Monitoring Workshop November 2012 Integrated Ecosystem Model (AIEM) for Alaska and Northwest Canada Potential Evapotranspiration: CCCMA - A1B Scenario AKOATS - Alaska Online Aquatic Temperature Site: An inventory of continuous stream and lake temperature monitoring stations across Alaska