Computer Simulation of Regional Evapotranspiration by Integrating Landscape Biophysical Attributes with Satellite Data

Evapotranspiration (ET) is an important link between the land-surface energy budget and hydrologic budget. The partitioning of incoming energy into sensible or latent heat substantially influences meteorology from local to global scales. The components of the hydrologie budget that control ET are fairly well understood at local scales (Shuttleworth, 1988). Measurement methods and models exist to describe adequately canopy interception, snowpack dynamics, soil water flux, and ET itself when treated as “point” processes. Even the biological control of ET, primarily manifested through leaf stomatal closure, is now understood reasonably well, and generalized treatment of environmental control functions is available (Jarvis and McNaughton, 1986). However, the challenge is to enlarge our perspective to GCM cell size, macrohydrology as termed by Shuttleworth (1988), which necessitates a new consideration of parameterization of large areas (Eagleson, 1986).

[1]  R. Pielke,et al.  Evaluation of vegetation effects on the generation and modification of mesoscale circulations , 1988 .

[2]  L. Band Topographic Partition of Watersheds with Digital Elevation Models , 1986 .

[3]  Pierre Bessemoulin,et al.  Evaporation over land surfaces - First results from HAPEX-MOBILHY Special Observing Period , 1988 .

[4]  C. R. Lloyd,et al.  The measurement and modelling of rainfall interception by Amazonian rain forest , 1988 .

[5]  Ramakrishna R. Nemani,et al.  Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation , 1989 .

[6]  Ramakrishna R. Nemani,et al.  Extrapolation of synoptic meteorological data in mountainous terrain and its use for simulating forest evapotranspiration and photosynthesis , 1987 .

[7]  K. G. McNaughton,et al.  Stomatal Control of Transpiration: Scaling Up from Leaf to Region , 1986 .

[8]  R. Myneni,et al.  Estimation of plant-canopy attributes from spectral reflectance measurements , 1989 .

[9]  R. Dickinson,et al.  A regional climate model for the western United States , 1989 .

[10]  S. Running Estimating Terrestrial Primary Productivity by Combining Remote Sensing and Ecosystem Simulation , 1990 .

[11]  P. Sellers Canopy reflectance, photosynthesis, and transpiration. II. the role of biophysics in the linearity of their interdependence , 1987 .

[12]  S. Running,et al.  Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data , 1989 .

[13]  S. Running,et al.  A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes , 1988 .

[14]  Ghassem R. Asrar,et al.  Theory and applications of optical remote sensing. , 1989 .

[15]  P. Sellers Canopy reflectance, photosynthesis and transpiration , 1985 .

[16]  Peter S. Eagleson The Emergence of Global‐Scale Hydrology , 1986 .

[17]  Ramakrishna R. Nemani,et al.  Testing a theoretical climate-soil-leaf area hydrologic equilibrium of forests using satellite data and ecosystem simulation , 1989 .

[18]  Ramakrishna R. Nemani,et al.  Relating seasonal patterns of the AVHRR vegetation index to simulated photosynthesis and transpiration of forests in different climates , 1988 .

[19]  G. Campbell,et al.  On the relationship between incoming solar radiation and daily maximum and minimum temperature , 1984 .

[20]  S. Running,et al.  Relationship of thematic mapper simulator data to leaf area index , 1987 .

[21]  P. Sellers,et al.  The First ISLSCP Field Experiment (FIFE) , 1988 .

[22]  B. J. Garnier,et al.  A Method of Calculating the Direct Shortwave Radiation Income of Slopes , 1968 .

[23]  W. Shuttleworth,et al.  Macrohydrology ― the new challenge for process hydrology , 1988 .

[24]  Harold A. Mooney,et al.  Remote Sensing of Biosphere Functioning , 1990 .

[25]  Jennifer L. Dungan,et al.  Forest ecosystem processes at the watershed scale: basis for distributed simulation , 1991 .