1. General Model Information
Name: Carnegie-Ames-Stanford Approach (CASA) Biosphere model
Main medium: terrestrial
Main subject: biogeochemistry
Organization level: global
Type of model: compartment model
Keywords: carbon dynamics, global change, nitrogen, NPP, satellite data, up-scaling
Carnegie Institution of Washington
Department of Plant Biology
290 Panama Street
Stanford, CA 94305
16 Divinity Avenue
Cambridge, MA 02138
Tel.: +1 617 496 3580
Fax: +1 617 496 5854
The CASA2 Biosphere Model is a spatially-resolved modeling environment
designed to extrapolate ecophysiological and biogeochemical principles
to the global scale. Its main advantage is its reliance on both satellite
data and a mechanistic plant and soil carbon model to model the flow of
carbon through terrestrial ecosystems. A number of interesting applications
of the model have been developed recently with the aim of exploring, among
- The use of satellite NDVI data to parameterize models of net primary
production (NPP) at the global scale (Field et al. 1995).
- The compatibility and novel benefits of combining satellite driven
NPP estimates with a mechanistic model of soil carbon dynamics (Potter
et al. 1993).
- The relationship between changes in terrestrial NPP and the terrestrial
atmospheric carbon sink (Thompson et al. 1996).
- The importance of litter dynamics on the seasonal cycle of atmospheric
CO2 (Randerson et al. 1996).
- The effects of the use of different processing algorithms for satellite
NDVI data on estimates of terrestrial NPP, as well as the use of agricultural
yield data to validate satellite- based models of NPP (Malmström et
al. in review).
- Simplifications of terrestrial plant and soil carbon models that provide
enhanced means of comparison and validation (Thompson and Randerson in
CASA calculates the seasonal flow of carbon between the atmosphere and
the terrestrial biosphere on a number of different time steps and a multitude
of spatial resolutions. The main strength of the CASA model is its ability
to use remote sensing data to calculate net primary production (NPP) and
carbon turnover mechanistically through a CENTURY-like plant and soil carbon
Author of this abstract: Matthew Thompson
II. Technical Information
Programming Language(s): ANSI C and C-shell scripts
III. Mathematical Information
Field, Christopher B., James T. Randerson, Carolyn M. Malmström(1995) Global net primary production: combining ecology and remote sensing,
REMOTE SENS. ENVIRON. 51(1): 74-97 (abstract).
Potter, Christopher S., James T. Randerson, Christopher B. Field, PamelaA. Matson, Peter M. Vitousek, Harold A. Mooney, Steven A. Klooster (1993)Terrestrial ecosystem production: a process model based on global satelliteand surface data,
GLOBAL BIOGEOCHEM. CYCLES 7(4): 811-841. (abstract)
Randerson, James T., Matthew V. Thompson, Carolyn M. Malmström,Christopher B. Field (1996)Substrate limitation for heterotrophs: Implications for models that estimatethe seasonality of atmospheric CO2,
GLOBAL BIOGEOCHEM. CYCLES. 1996. IN PRESS, (abstract)
Thompson, Matthew V., James T. Randerson, Carolyn M. Malmström,Christopher B. Field (1996)Change in net primary production and heterotrophic respiration: How muchis necessary to sustain the terrestrial carbon sink,
GLOBAL BIOGEOCHEM. CYCLES 10(4): 711-726, (abstract).
V. Further information in the World-Wide-Web
Home page of CASA.
VI. Additional remarks
Last review of this document by: MatthewThompson (address above): April, 15th 1997
Status of the document:
last modified by
Tobias Gabele Wed Aug 21 21:44:40 CEST 2002