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.
Highlights
Regional climate models (RCMs) can provide the scientific information for climate variability, changes, and impacts at local and regional scales
This study has assessed the performance of the Common Land Model (CoLM) in a set of offline simulations of daily runoff and land surface temperatures for a small natural basin, the Yongjeon River
The high-resolution simulations from the CoLM were feasible with the high resolution surface boundary conditions (SBCs) from remote sensing data and meteorological forcings constructed for the study basin at 1-km horizontal spacing
Summary
Regional climate models (RCMs) can provide the scientific information for climate variability, changes, and impacts at local and regional scales. The CoLM can simulate the comprehensive land state variables of soil moisture, soil temperature, snow water equivalent, runoff, and energy fluxes such as net radiation, latent and sensible heat, etc It has been, found that an application of the CoLM requires improvements in predicting the terrestrial hydrologic cycle [8,19]. This paper is composed five sections as follows: Section 2 presents the key parameterizations for runoff and temperature predictions in the CoLM, Section 3 describes study basin, data, and methods for the CoLM implementations at a finer (1-km) and a coarser (30-km) resolution, Section 4 evaluates the CoLM simulation results at different resolutions against observations over the study basin, and Section 5 addresses the final conclusions with a summary and discussion on limitations and future studies
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
