Remote Sens. 2013, 5(12), 6838-6856; doi:10.3390/rs5126838
Article

Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes

Department of Civil Engineering, Yeungnam University, 214-1 Dae-dong, Gyeongsan-si, Gyeongbuk-do 712-749, Korea
Received: 10 October 2013; in revised form: 1 December 2013 / Accepted: 3 December 2013 / Published: 9 December 2013
(This article belongs to the Special Issue Remote Sensing in Geomorphology)
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Abstract: Most current land surface models (LSMs) coupled to regional climate models (RCMs) have been implemented at the several tens of kilometer spatial scales. Modeling land surface processes in LSMs at a finer resolution is necessary for improvements in terrestrial water and energy predictions especially for small catchments. This study has therefore assessed the applicability of high-resolution simulations for terrestrial processes to a small study basin from the Common Land Model (CoLM) using 1-km surface boundary conditions (SBCs) based on remote sensing products. The performance of the CoLM simulations at finer (1-km) and coarser (30-km) resolutions are evaluated for daily runoff and land surface temperature results which have a significant influence on the terrestrial water and energy cycles. The daily stream water temperature is also estimated by a linear regression function of the 1-km daily land surface temperature prediction. The daily stream runoff and temperature results are compared with observations from a stream gauge station, and the daily land surface temperature prediction is compared with the 1-km remote sensing product. It is observed that the high-resolution CoLM results can reasonably capture seasonal variations in both daily runoff and temperatures crucial to the terrestrial water and energy budget.
Keywords: land surface model; remote sensing data; surface boundary conditions; runoff; land surface temperature; stream water temperature

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MDPI and ACS Style

Choi, H.I. Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes. Remote Sens. 2013, 5, 6838-6856.

AMA Style

Choi HI. Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes. Remote Sensing. 2013; 5(12):6838-6856.

Chicago/Turabian Style

Choi, Hyun I. 2013. "Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes." Remote Sens. 5, no. 12: 6838-6856.

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