Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2013-12-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/5/12/6838 |
| _version_ | 1819002969059753984 |
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| author | Hyun Il Choi |
| author_facet | Hyun Il Choi |
| author_sort | Hyun Il Choi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T23:13:33Z |
| format | Article |
| id | doaj.art-9879aee41a6c4c1fbed50f26a9af0287 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T23:13:33Z |
| publishDate | 2013-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9879aee41a6c4c1fbed50f26a9af02872022-12-21T19:23:41ZengMDPI AGRemote Sensing2072-42922013-12-015126838685610.3390/rs5126838rs5126838Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial ProcessesHyun Il Choi0Department of Civil Engineering, Yeungnam University, 214-1 Dae-dong, Gyeongsan-si, Gyeongbuk-do 712-749, KoreaMost 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.http://www.mdpi.com/2072-4292/5/12/6838land surface modelremote sensing datasurface boundary conditionsrunoffland surface temperaturestream water temperature |
| spellingShingle | Hyun Il Choi Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes Remote Sensing land surface model remote sensing data surface boundary conditions runoff land surface temperature stream water temperature |
| title | Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes |
| title_full | Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes |
| title_fullStr | Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes |
| title_full_unstemmed | Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes |
| title_short | Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes |
| title_sort | application of a land surface model using remote sensing data for high resolution simulations of terrestrial processes |
| topic | land surface model remote sensing data surface boundary conditions runoff land surface temperature stream water temperature |
| url | http://www.mdpi.com/2072-4292/5/12/6838 |
| work_keys_str_mv | AT hyunilchoi applicationofalandsurfacemodelusingremotesensingdataforhighresolutionsimulationsofterrestrialprocesses |