Abstract
Land Surface Model (LSM) is an important tool used to understand the complicated hydro-meteorological flux interaction systems between the land surface and atmosphere in hydrological cycles. Over the past few decades, LSMs have further developed to more accurately estimate weather and climate hydrological processes. Common Land Model (CLM) and Noah Land Surface Model (Noah LSM) are used in this paper to estimate the hydro-meteorological fluxes for model applicability assessment at two different flux tower sites in Korea during the summer monsoon season. The estimated fluxes such as net radiation (RN), sensible heat flux (H), latent heat flux (LE), ground heat flux (G), and soil temperature (Ts) were compared with the observed data from flux towers. The simulated RN from both models corresponded well with the in situ data. The root-mean-square error (RMSE) values were 39 - 44 W m^(-2) for the CLM and 45 - 50 W m^(-2) for the Noah LSM while the H and LE showed relatively larger discrepancies with each observation. The estimated Ts from the CLM corresponded comparatively well with the observed soil temperature. The CLM estimations generally showed better statistical results than those from the Noah LSM, even though the estimated hydro-meteorological fluxes from both models corresponded reasonably with the observations. A sensitivity test indicated that differences according to different locations between the estimations from models and observations were caused by field conditions including the land-cover type and soil texture. In addition the estimated RN, H, LE, and G were more sensitive than the estimated Ts in both models.
Highlights
Land surface fluxes produced by Land Surface Models (LSMs) represent the physical processes that adjust the transfer of water and energy into the atmosphere after precipitation and solar radiation reach the land surface (Zeng et al 2002; Rodell et al 2005)
The sensitivity test results for the Noah LSM show a relatively large distinction depending on the soil-class number selection which was fixed in the model instead of entering the soil texture percentage
The results from this study showed that the Common Land Model (CLM) simulates more reasonable hydro-meteorological fluxes than the Noah LSM
Summary
Land surface fluxes produced by Land Surface Models (LSMs) represent the physical processes that adjust the transfer of water and energy into the atmosphere after precipitation and solar radiation reach the land surface (Zeng et al 2002; Rodell et al 2005). Yang et al (2009) employed LSMs including the CLM, Noah LSM, and Simple Biosphere Model 2 (SiB2) in the Tibetan Plateau to estimate soil water content. Patil et al (2011) employed the Noah LSM for land-surface variables under tropical conditions in Gujarat, India, whereby the simulated skin temperature and net radiation were in good agreement with observations under a dry condition. Radell and Rowe (2008) simulated land-surface fluxes using the Noah LSM at a sand hill and in wet and dry valleys in the Nebraska Sand Hills. Their results showed sound agreement between the Noah LSM and the in situ data for the mean diurnal and annual energy fluxes.
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
