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Modeling and Scaling Coupled Energy, Water, and Carbon Fluxes Based on Remote Sensing: An Application to Canada's Landmass
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chen, Baozhang Chen, Jiquan Mo, Gang Yuen, Chiu-Wai Margolis, Hank A. Higuchi, Kaz Chan, Douglas S. T. |
| Copyright Year | 2007 |
| Abstract | Abstract Land surface models (LSMs) need to be coupled with atmospheric general circulation models (GCMs) to adequately simulate the exchanges of energy, water, and carbon between the atmosphere and terrestrial surfaces. The heterogeneity of the land surface and its interaction with temporally and spatially varying meteorological conditions result in nonlinear effects on fluxes of energy, water, and carbon, making it challenging to scale these fluxes accurately. The issue of up-scaling remains one of the critical unsolved problems in the parameterization of subgrid-scale fluxes in coupled LSM and GCM models. A new distributed LSM, the Ecosystem–Atmosphere Simulation Scheme (EASS) was developed and coupled with the atmospheric Global Environmental Multiscale model (GEM) to simulate energy, water, and carbon fluxes over Canada’s landmass through the use of remote sensing and ancillary data. Two approaches (lumped case and distributed case) for handling subgrid heterogeneity were used to evaluate the effect ... |
| Starting Page | 123 |
| Ending Page | 143 |
| Page Count | 21 |
| File Format | PDF HTM / HTML |
| DOI | 10.1175/JHM566.1 |
| Volume Number | 8 |
| Alternate Webpage(s) | http://faculty.geog.utoronto.ca/Chen/Chen's%20homepage/PDFfiles/bchen_JH8_2_123_2007.pdf |
| Alternate Webpage(s) | https://doi.org/10.1175/JHM566.1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
