1. General Model Information

Name: Modified Budyko Global Vegetation Model

Acronym: GVM

Main medium: terrestrial
Main subject: biogeochemistry
Organization level: ecosphere
Type of model: not specified
Main application:
Keywords: crop, biomes, dryness indices, evaporation, evapotranspiration, climate, climate change


Robert A. Monserud
Forestry Sciences Lab
1221 S. Main Street Moscow, ID 83843
Phone: 208-883-2327
Fax: 208-883-2318
email: monserud@forest.moscowfsl.wsu.edu


Nadji Tchebakova, Bob Monserud and Rik Leemans


This Global Vegetation Model (GVM) predicts the geographic extent of biomes based on climate inputs from GCMs. The model is static and is developed for a coarse resolution (0.5deg. x 0.5deg.). The model was developed by Nadji Tchebakova, Bob Monserud (USDA-FS) and Rik Leemans. The model requires the IIASA global climate database as input.

Biomes are determined from sub-models which calculate dryness indices and potential evaporation using radiation balance equations. This model is based on an earlier model developed by Budyko which predicts vegetation patterns based on a radiation balance and dryness index.

Author of the abstract:


II. Technical Information

II.1 Executables:

Operating System(s): UNIX

II.2 Source-code:

Programming Language(s): FORTRAN 77

II.3 Manuals:

II.4 Data:

III. Mathematical Information

III.1 Mathematics

III.2 Quantities

Global climate database on 0.5 deg. X 0.5 deg. grid: Monthly

III.2.1 Input

Global climate database on 0.5 deg. X 0.5 deg. grid: Monthlyobservations of temperature, precipitation, cloudiness, vapor pressure (humidity), and albedo.

Model Input Data Source: IIASA Global climate database, and revised version from WolfgangCramer and Rik Leemans. Vegetation class (biome) for each 0.5 deg X 0.5 deg. pixel. (62,400

III.2.2 Output

Vegetation class (biome) for each 0.5 deg X 0.5 deg. pixel. (62,400terrestrial pixels)

Temporal Scale: Equilibrium model (static)

Spatial Scale: Global with .5 deg. X .5 deg. resolution. Resolution can be finer if climatic inputresolution is finer.Vegetation class (biome) for each 0.5 deg X 0.5 deg. pixel. (62,400terrestrial pixels)

IV. References

1993 J. Biogeography (August issue) 20: 129-144.
1993 Climatic Change(August issue) 25: 59-83.

V. Further information in the World-Wide-Web

VI. Additional remarks

This model has been used to study the possible effects of the doubling ofatmospheric CO2 on the distribution of the earth's biomes. This model showedthat similar types of biome shifts are predicted when the GFDL, GISS and OSUglobal climate models (GCMs) are used. The UKMO GCM, on the other hand,predicted slightly different biome patterns because it predicts warmer climatesin the future than the other three GCMs used.

In addition, this model predicted that the boreal and temperate zones will undergo the largest shifts in location and that the desert and ice/polar deserts which be the most stable in the future. The developers of this modelhave also compared existing vegetation patterns with that of the predicted patterns using a Kappa statistic of vegetation classes per pixel.

Source : CIESIN Report

Last review of this document by: T. Gabele: 10. 07. 1997 -
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:44 CEST 2002

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