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    Author(s): Ray DrapekJohn B. Kim; Ronald P. Neilson
    Date: 2015
    Source: Gen. Tech. Rep. PNW-GTR-904. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 57 p.
    Publication Series: General Technical Report (GTR)
    Station: Pacific Northwest Research Station
    PDF: View PDF  (3.0 MB)

    Description

    Land managers need to include climate change in their decisionmaking, but the climate models that project future climates operate at spatial scales that are too coarse to be of direct use. To create a dataset more useful to managers, soil and historical climate were assembled for the United States and Canada at a 5-arcminute grid resolution. Nine CMIP3 future climate projections were downscaled to this grid and the MC1 dynamic global vegetation model was run over the historical and future climates. Climate variables included monthly mean temperature, precipitation, minimum temperature, maximum temperature, and vapor pressure. Soil data included soil depth as well as percentages of sand, clay, and rockiness for three soil depths. Output variables included carbon pools and fluxes, fire variables, potential vegetation classes, and various water cycle variables. Climate and soil inputs as well as MC1 outputs are available publicly.

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Drapek, Raymond J.; Kim, John B.; Neilson, Ronald P. 2015. The Dynamic General Vegetation Model MC1 over the United States and Canada at a 5-arcminute resolution: model inputs and outputs. Gen. Tech. Rep. PNW-GTR-904. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 57 p.

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    Keywords

    MC1, Dynamic Global Vegetation Model, climate change, carbon, fire, streamflow.

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