1) MODEL AND VERSION: Glo-PEM 4.0
Full Model Name: Global Production Efficiency Model
Host Institution: Biogeography Group, University of Maryland
Key References:
Prince, S. D. and S. J. Goward. 1995. Global primary production: a remote sensing approach, Journal of Biogeography 22 : 316-336
2) MODEL TYPE (E.G. ECOSYSTEM, BIOGEOGRAPHY, DGVM):
Ecosystem, with remotely-sensed forcing
3) PRIMARY MODEL PURPOSE:
Net Primary Production
4) MODELING APPROACH:
Production efficiency model
5) RESOLUTION (SPATIAL, TEMPORAL):
8-km, 10-15 days
6) SPACIAL AND TEMPORAL SCALE(S) AT WHICH THE MODEL RESULTS SHOULD BE CONSIDERED:
0.5º, 10-15 days.
7) PROCESS AND PROCESS COMPONENTS SIMULATED (E.G. CARBON: GPP, NPP, NEP)
Carbon: GPP, Rh, NPP
Water: Soil moisture and vapor pressure deficit stress
Nitrogen: N/A
8) SIMULATED RESERVOIR:
Carbon:
a) Vegetation: above ground and below ground biomass
b) Litter: N/A
c) SOC: N/A
Nitrogen: N/A
Soil water:
Root zone moisture "bucket" model
9) CALIBRATION VARIABLE(S) AND METHOD:
Stress = f(VPD, soil moisture, Ta)
Comparison of NPP with field measurements
10) SCALING OF THE PROCESSES TO THE GRID CELL:
Remotely sensed inputs, hence, it is intrinsically gridded
11) DISTURBANCE (FIRE, GRAZING, HARVEST, TREE REMOVAL, ETC.):
As detected by satellite radiances
12) VEGETATION I/O (E.G. POTENTIAL, ACTUAL):
None
13) INPUT DRIVERS (CLIMATIC, SITE, VEG, SOILS) AND RESOLUTION (E.G. DAILY, MONTHLY) REQUIRED FOR MODEL INITIALIZATION:
Solar radiation (PAR, 1º x 1º), water vapor (2.5º x 2º), AVHRR channels 1,2,4, and 5 (8 km), climatological mean air temperature (1º x 1º)
14) ADDITIONAL COMMENTS: