Author(s): Hui LU, Toshio KOIKE, Kun YANG, Xiangde Xu, Xin LI, Hiroyuki TSUTSUI, Yueqing LI, Xingbing ZHAO, Katsunori TAMAGAWA
This paper reports an application of a Land Data Assimilation System (LDAS) to the Wenjiang site located near Chengdu, China, for the period from January to March, 2008. The LDAS was first driven by in-situ observed micrometeorological data. Simulated energy fluxes were compared to hourly direct measurements and simulated soil moisture content was compared to the in-situ soil moisture observations at a depth of 4 cm. The results show that the LDAS well simulated those variables and thus validated the capability of LDAS. To check the possibility of applying LDAS globally and simulating surface energy and water budget worldwide, two sets of model output data were used as the driving data of the LDAS: the Japan Meteorology Agency (JMA) Model Output Local Time Series (MOLTS), and the Modified JMA MOLTS. The LDAS performance was not so good when driven by the original JMA MOLTS data, but improved after we used modified MOLTS data with some simple linear regression equations. This result demonstrated the feasibility of reliably simulating land surface fluxes with a LDAS driven by model outputs.