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http://dx.doi.org/10.17663/JWR.2016.18.2.166

Estimation of Land Surface Energy Fluxes using CLM and VIC model  

Kim, Daeun (Department of Civil and Environmental Engineering, Hanyang University)
Ray, Ram L. (College of Agriculture and Human Sciences, Prairie View A&M University)
King, Seokkoo (Department of Civil and Environmental Engineering, Hanyang University)
Choi, Minha (Department of Water Resources, Graduate School of Water Resources, Sungkyunkwan University)
Publication Information
Journal of Wetlands Research / v.18, no.2, 2016 , pp. 166-172 More about this Journal
Abstract
Accurate understanding of land surface is essential to analyze energy exchanges between earth surface and atmosphere. For the quantization of energy fluxes, the various researches about Land Surface Model(LSM) have been progressed. Among the various LSMs, the researches using Common Land Model(CLM) and Variable Infiltration Capacity(VIC) model are performed briskly. The CLM which is advanced LSM can calculate realistic results with few user defined parameters. The VIC model which is also typical LSM is widely used for estimation of energy fluxes and runoff in various fields. In this study, the energy fluxes which are net radiation, sensible heat flux, and latent heat flux were estimated using CLM and VIC model at Southern Sierra-Critical Zone Observatory(SS-CZO) site in California, United States. In case of net radiation and sensible heat flux, both models showed good agreement with observations, however, the CLM showed underestimated patterns of net radiation and sensible heat flux during precipitation period. In case of latent heat flux, the CLM represented better estimation of latent heat flux than VIC model which underestimated the latent heat flux. Through the estimation of energy fluxes and analysis of models' pros and cons, the applicability of CLM and VIC models and need of multi-model application were identified.
Keywords
Common Land Model; Variable Infiltration Capacity; Energy fluxes;
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Times Cited By KSCI : 3  (Citation Analysis)
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