{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T21:25:56Z","timestamp":1772227556874,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2013,12,9]],"date-time":"2013-12-09T00:00:00Z","timestamp":1386547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs5126838","type":"journal-article","created":{"date-parts":[[2013,12,9]],"date-time":"2013-12-09T12:47:59Z","timestamp":1386593279000},"page":"6838-6856","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes"],"prefix":"10.3390","volume":"5","author":[{"given":"Hyun","family":"Choi","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, Yeungnam University, 214-1 Dae-dong, Gyeongsan-si,  Gyeongbuk-do 712-749, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2013,12,9]]},"reference":[{"key":"ref_1","unstructured":"Bates, B.C., Kundzewicz, Z.W., Wu, S., and Palutikof, J.P. 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