1. General Model Information
Main medium: terrestrial
Main subject: biogeochemistry
Type of model: not specified
Keywords: crop, leaf area index, biomass growth, grain yield
Cotton Research Station
17053 Shaffer Avenue
Shafter, CA 93263Telephone: 805-746-6391
GRAMI is a simulation model which estimates grain yield of sorghum, corn and
spring wheat. The model requires inputs of air temperature, total daily solar
radiation and planting date. The model simulates leaf area index, biomass
growth and grain yield at the end of the growing season. The temporal scale of
the model is a growing season. The spatial scale of the model is dependent on
the scale of the input data. Simulations can be run at individual field or
uses remotely sensed satellite observations as a component of data input.
Author of the abstract:
II. Technical Information
Operating System(s): PC-486 environment
Programming Language(s): FORTRAN with a version in Turbo Basic
III. Mathematical Information
Model Input Data Requirements: Air temperature, total daily solar radiation, planting date,Remote sensing observation of Leaf Area Index.
Model Input Data Source: Weather data - NWS. Remote sensing - Satellite observation.
Simulation of Leaf Area Index. Biomass growth and grain yield at season end.
Temporal Scale: Single growing season.Spatial Scale: Dependent on scale of input data. Individual fields-low resolution satellite on county level.
Two part paper Part I: Agronomy Journal. 1993. Parametrical Modelof Granimeous Crop Growth; in Leaf Area al Dry Mass Simulation. Part II: Within SeasonSimulation Calibration. Volume 85, pp. 353-357.
V. Further information in the World-Wide-Web
VI. Additional remarks
Model linkage with remotely sensed data and the variable spatial scale can provide a useful tool to examine the effect of climate variability on crop production.
Last review of this document by: 22.May 1997
Status of the document:
last modified by
Tobias Gabele Wed Aug 21 21:44:44 CEST 2002