University of Alaska Fairbanks • Scenarios Network for Alaska + Arctic Planning

Alaska + Arctic Geospatial Data API

Built by the Scenarios Network for Alaska + Arctic Planning

Post-processed 1km ALFRESCO Data

The endpoints here provide access to data products derived from outputs from ALFRESCO simulations done using future (AR5/CMIP5) scenarios and historical (CRU TS 4.0) data completed for the Integrated Ecosystem Model (IEM) project. The current endpoints are described in the "Service Endpoints" section below, and are available for the following datasets:

Datasets

Endpoint Name Data Layer Description
flammability Flammability These data are derived from the fire scar outputs and are computed as the average number of times a pixel burned across all reps for all years of the summary year span. Pixels are 1km x 1km.
veg_type Vegetation Type These data are derived from the vegetation class data, the principal phenomena being modeled by ALFRESCO. They are computed as the average percentage of each vegetation type for a pixel, across all reps for all years of the summary year span. Pixels are 1km x 1km.

Service endpoints

Here are the existing endpoints for the above datasets.

Flammability

Results from flammability endpoints will look like this:

  {
    "1950-1979": {
      "MODEL-SPINUP": {
        "historical": 0.0065
      }
    },
    ...
    "2010-2039": {
      "5modelAvg": {
        "rcp45": 0.0014,
        "rcp60": 0.0007,
        "rcp85": 0.0007
      },
      ...
    },
    ...
  }

The above output is structured as such:

{
  <era>: {
    <model>: {
      <scenario>: <value>
    }
  }
  ...
}

Dimensions:

  • era: Summary era:
    • 1950-1979
    • 1980-2008
    • 2010-2039
    • 2040-2069
    • 2070-2099
  • model: AR5 model source, or 5-model average, or historical MODEL-SPINUP:
    • MODEL-SPINUP
    • NCAR-CCSM4
    • MRI-CGCM3
    • IPSL-CM5A-LR
    • GFDL-CM3
    • GISS-E2-R
    • 5modelAvg: the average of the above 5 models
  • scenario: RCP scenario for AR5, or "historical" for historical model spinup
    • rcp45
    • rcp60
    • rcp85
    • historical

Vegetation type

Results from vegetation type endpoints will look like this:

  {
    "1950-2008": {
      "MODEL-SPINUP": {
        "historical": {
          "barren_lichen_moss": 0,
          "black_spruce": 0,
          "deciduous_forest": 50.92,
          "graminoid_tundra": 0,
          "not_modeled": 0,
          "shrub_tundra": 0,
          "temperate_rainforest": 0,
          "wetland_tundra": 0,
          "white_spruce": 49.08
        }
      }
    },
    ...
    "NCAR-CCSM4": {
      "rcp45": {
        "barren_lichen_moss": 0,
        "black_spruce": 0,
        "deciduous_forest": 57.03,
        "graminoid_tundra": 0,
        "not_modeled": 0,
        "shrub_tundra": 0,
        "temperate_rainforest": 0,
        "wetland_tundra": 0,
        "white_spruce": 42.97
      },
      "rcp60": {
        "barren_lichen_moss": 0,
        "black_spruce": 0,
        "deciduous_forest": 58.07,
        "graminoid_tundra": 0,
        "not_modeled": 0,
        "shrub_tundra": 0,
        "temperate_rainforest": 0,
        "wetland_tundra": 0,
        "white_spruce": 41.93
      },
      "rcp85": {
        "barren_lichen_moss": 0,
        "black_spruce": 0,
        "deciduous_forest": 57.28,
        "graminoid_tundra": 0,
        "not_modeled": 0,
        "shrub_tundra": 0,
        "temperate_rainforest": 0,
        "wetland_tundra": 0,
        "white_spruce": 42.72
      }
    },
    ...
  }

The above output is structured as such:

{
  <era>: {
    <model>: {
      <scenario>: {
        <vegetation_type>: <value>
      }
    }
  }
  ...
}

Dimensions:

  • era: Summary era:
    • 1950-2008
    • 2010-2039
    • 2040-2069
    • 2070-2099
  • model: AR5 model source or historical MODEL-SPINUP:
    • MODEL-SPINUP
    • NCAR-CCSM4
    • MRI-CGCM3
    • IPSL-CM5A-LR
    • GFDL-CM3
    • GISS-E2-R
  • scenario: RCP scenario for AR5, or "historical" for historical model spinup
    • rcp45
    • rcp60
    • rcp85
    • historical

Source data

These data are derived from ALFRESCO model outputs created for the IEM project at a resolution of 1km. For access to the source data used here, please contact uaf-snap-data-tool@alaska.edu and ask about accessing these data. SNAP also has some similar datasets available for download at longer year spans and for fewer models and scenarios than available here: