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Alaska is an expansive state with abundant water resources. The complex landscape is defined by water and ice, but Alaska lacks quality mapping of its surface water features. The Alaska Hydrography Technical Working Group and Alaska Hydrography Database have worked to establish the Alaska Hydrography Strategic Plan to promote and guide a core mission to efficiently serve the current and future hydrography needs of Alaska for the next five years. This work will update the state’s hydrography in the National Hydrography Database from its current condition to meet national 1:24,000-scale standards. This work has focused on coordination of hydrography needs with partners and land managers, planning for the future hydrography...
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The Arctic Landscape Conservation Cooperative (LCC) and the North Slope Science Initiative have both identified the importance of synthesizing and disseminating existing climate and hydrology data as well as improving the design of climate and hydrologic monitoring networks to meet management and research needs. We have partnered with the Arctic LCC to address this issue. During this project we designed a geodatabase called Imiq, inventoried hydrologic, climate, and related datasets, and populated the Imiq database with both data and metadata. Finally, we analyzed some of the spatial characteristics of the existing hydroclimate data and the observational network structure, in an effort to inform the development...
Categories: Data; 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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Rural Arctic communities are vulnerable to climate change and residents seek adaptive strategies that will protect public health. In the Inupiat community of Selawik, climate change is impacting the weather, land, river, wildlife, plants, and the lives of the people who live there. This report identifies health concerns related to food and water security and community infrastructure. This report documents these issues as described by the local people and interpreted through the lens of public health. It is the fifth report in a series describing climate change in Northwest Alaska.
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This dataset includes Snow Water Equivalent Depth(swed) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Water Equivalent 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...
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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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 data are the result of a geospatial analysis involving multi-year SAR-based lake ice regime classification using sigma-naught backscatter intensity from calibrated space-borne C-band SAR for thousands of lakes in 7 lake districts in Alaska, USA, detailed in Engram et al., (in review). Historically, radar backscatter from space-borne and airborne platforms shows a lower backscatter return from bedfast lake ice and a higher backscatter return from floating ice (where liquid phase water exists under the ice) (Jeffries, Morris, Weeks, & Wakabayashi, 1994; Weeks, 1977). We used a threshold method where the threshold to differentiate floating and bedfast ice regimes was determined for each year from the frequency...
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Average historical total precipitation (mm) in summer (June - August) 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.
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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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The Snowy Owl, a conspicuous and majestic bird of the circumpolar arctic, is an efficient hunterof small mammals in tundra environs. In years of high lemming numbers they will focus on thisabundant food source but will readily switch to a wide variety of other prey when lemmings arescarce (Parmelee 1992). Their breeding range in Alaska is generally restricted to the ArcticCoastal Plain, typically nesting in more upland tundra habitats, although they often, though notexclusively, forage in wetter tundra (Parmelee 1992). Snowy Owls are unpredictable migrantsand will sometimes “invade” portions of southern Canada and the northern contiguous US, inwinters when lemmings are scarce in the Arctic. The current global population...
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The Common Eider, a large sea duck, is more closely tied to marine environments than are manyother sea ducks. On the Arctic Coastal Plain of Alaska this species nests primarily on barrierislands and peninsulas of the Arctic Coastal Plain (a small proportion of the total area) while inother parts of its range they select quite varied nesting sites (Goudie et al. 2000). Common eidersdepend on a marine prey base, eating invertebrates (primarily mollusks and crustaceans) bydiving to the sea floor. Alaskan breeders spend their winters nearby in the Bering Sea, Gulf ofAlaska, and off Russia’s Chukotka Peninsula (SDJV 2004). Current Arctic Coastal Plainpopulation is estimated at approximately 2,000 (Dau and Bollinger 2009).
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Baseline (1961-1990) average summer total precipitation and projected change in precipitation for the northern portion of Alaska. For the purposes of these maps, ‘summer’ is defined as June - August. 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) TS 3.1.01 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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The Fish Creek Watershed encompasses diverse aquatic habitats representative of much of the Arctic Coastal Plain of northern Alaska. Beyond surface water and permafrost responses caused by changes in climate, this landscape is also subject to potential land-use impacts related to petroleum development in the National Petroleum Reserve – Alaska (NPR-A). Thus, this region is an ideal setting to address aquatic habitat questions of longstanding interest to Arctic resource managers, scientists, and other stakeholders. Our multidisciplinary team is focusing on broad hypothesis that surface-water availability, connectivity, and temperature mediate aquatic habitats and trophic dynamics. We are working to understand and...
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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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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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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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Final report detailing the results of the climate change vulnerability assessment conducted by the Wildlife Conservation Society.The specific goals of this assessment were to: provide a climate change vulnerability ranking for selected Arctic Alaskan breeding bird species; evaluate the relative contribution of specific sensitivity and exposure factors to individual species rankings; consider how this assessment may be integrated with other approaches; and appraise the effectiveness of the NatureServe Climate Change Vulnerability Index (CCVI) tool.
The USGS St. Petersburg Coastal and Marine Science Center (USGS St. Pete) processed lidar topographic data in Alaska. Raw lidar data are not in a format that is generally usable by resource managers and scientists for scientific analysis. Converting dense lidar elevation data into a readily usable format without loss of essential information requires specialized processing. Project included processing of lidar data acquired in Summer 2010 along the North Slope of Alaska between Colville River and Hulahula River.
Over the last 3 years, high-resolution LiDAR elevation data has been acquired for much of the northern coast of Alaska in support of the USGS Coastal and Marine Geology Program’s National Assessment of Shoreline Change project. Because of funding limitations, LiDAR data were not collected over most river deltas and embayments. Subsequent discussions with scientists and managers from both public agencies and private organizations indicated a need and desire to fill the gaps in the coastal elevation data set, specifically over the low-lying deltas and estuaries that provide important habitat for migratory birds and other wildlife. The Arctic LCC provided support to help cover costs associated with acquiring and processing...


map background search result map search result map SNOWDATA GeoTIFF Annual Snow Water Equivalent Depth Fish CAFE Project Information Handout Summer Precipitation Maps - RCP 6.0, Millimeters Bringing Alaska’s Freshwater Hydrography into the 21st Century North Slope Alaska Admiralty Bay LiDAR Mean Annual Ground Temperature 2080-2089 Snowy Owl Summer Temperature Maps - RCP 6.0, Celsius Hydroclimatological Data Rescue Project Final Report Winter Temperature Maps - RCP 6.0, Celsius Potential Evapotranspiration 2090-2099: CCCMA - A1B Scenario Assessing Climate Change Vulnerability of Breeding Birds in Arctic Alaska Climate Change in Selawik, Alaska.  Strategies for Community Health Summer Precipitation Maps - RCP 8.5, Millimeters Historical Stand Age 1990-1999 Common Eider Lake Ice Regime Classification Alaska LiDAR Data Processing - Colville to Staines River Fish CAFE Project Information Handout North Slope Alaska Admiralty Bay LiDAR Alaska LiDAR Data Processing - Colville to Staines River Lake Ice Regime Classification Snowy Owl Assessing Climate Change Vulnerability of Breeding Birds in Arctic Alaska Common Eider SNOWDATA GeoTIFF Annual Snow Water Equivalent Depth Hydroclimatological Data Rescue Project Final Report Climate Change in Selawik, Alaska.  Strategies for Community Health Mean Annual Ground Temperature 2080-2089 Potential Evapotranspiration 2090-2099: CCCMA - A1B Scenario Historical Stand Age 1990-1999 Bringing Alaska’s Freshwater Hydrography into the 21st Century Summer Precipitation Maps - RCP 6.0, Millimeters Summer Temperature Maps - RCP 6.0, Celsius Winter Temperature Maps - RCP 6.0, Celsius Summer Precipitation Maps - RCP 8.5, Millimeters