The dynamic general vegetation model MC1 over the United States and Canada at a 5-Arc-minute resolution : model Inputs and outputs / Raymond J. Drapek, John B. Kim, and Ronald P. Neilson.

Format:

Book

Government document

Author/Creator:

Drapek, Raymond J., author.

Kim, John B., author.

Neilson, Ronald P., author.

Contributor:

Pacific Northwest Research Station (Portland, Or.), issuing body.

Series:

General technical report PNW ; 904.

General technical report PNW ; 904

Language:

English

Subjects (All):

Vegetation and climate--United States--Forecasting.

Vegetation and climate.

Vegetation and climate--Canada--Forecasting.

Vegetation and climate--United States--Mathematical models.

Vegetation and climate--Canada--Mathematical models.

Phytogeography--Climatic factors--United States--Forecasting.

Phytogeography.

Phytogeography--Climatic factors--Canada--Forecasting.

Plants--Climatic factors--United States--Mathematical models.

Plants.

Plants--Climatic factors--Canada--Mathematical models.

Vegetation and climate--Mathematical models.

United States.

Canada.

North America.

Genre:

Online resources.

technical reports.

Technical reports

Technical reports.

Physical Description:

1 online resource (57 pages) : illustrations (some color), color maps

Place of Publication:

Portland, OR : United States Department of Agriculture, Forest Service, Pacific Northwest Research Station, November 2015.

Summary:

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.

Notes:

"November, 2015."

Includes bibliographical references (pages 46-53).

Online resource, PDF version; title from title page (USFS, viewed July 23, 2018).

Other Format:

Print version: Drapek, Raymond J. Dynamic general vegetation model MC1 over the United States and Canada at a 5-arc-minute resolution

OCLC:

931610873