1. General Model Information
Name: Soybean simulation growth model
Main medium: air+terrestrial
Main subject: biogeochemistry
Organization level: ecosystem
Type of model: not specified
Keywords: crop growth, soybean, temperature, solar radiation, rainfallsoil, management
Dr. Basil Acock
USDA-ARS Systems Research LabBldg. 007, Rm. 008
Fax : 301-504-5823
GOYCIM is a soybean simulation growth model that is an extension of
GLYCIM. Its purpose is to predict how soybeans will grow given
weather, soils, and management strategies. It differs from GLYCIM in
that GOYCIM is designed to be run on larger scales (counties to regional).
- carbon partitioning;
- organ growth and development;
- water movement;
- plant response to temperature and soil moisture.
The model operates on a daily time step for a growing season. A typical
run is for 20 years.
Model input data requirements include:
- daily maximum and minimum temperature,
- wind run (if available),
- wet and dry bulb temperature (if available),
- soils data (e.g. depth, texture, bulk density, water content, nitrogen content),
- crop management strategies,
- CO2 concentration and
- solar radiation.
Model output contains over 25 variables related to plant yield, nitrogen
fixation, carbon storage per plant component and leaf area index.
Author of the abstract:
CIESIN (CONSORTIUM FOR INTERNATIONAL EARTH SCIENCE INFORMATION NETWORK) :
GOYCIM is no longer maintained under this name, for recent developments see GLYCIM
II. Technical Information
Operating System(s): Macintosh, PC or Cray computer
Programming Language(s): FORTRAN with Pascal extensions
III. Mathematical Information
USDA Journal. Model is documented in a 1991 University of Idaho miscellaneous series bulletin #145
V. Further information in the World-Wide-Web
VI. Additional remarks
Global change implications: The GOYCIM model will be usedfor global change research by Jonathan Haskett at ARS, Beltsville, MarylandThe model will be run at a regional level (state level) using a weathergenerator such as WGEN to simulate patterns predicted by Global CirculationModels (GCMs) at the regional level.
Last review of this document by: T. Gabele: 9. 7. 1997 -
Status of the document:
last modified by
Tobias Gabele Wed Aug 21 21:44:44 CEST 2002