当前位置：
X-MOL 学术
›
J. Hydrol.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Evaluating three evapotranspiration estimates from model of different complexity over China using the ILAMB benchmarking system
Journal of Hydrology ( IF 5.9 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.jhydrol.2020.125553 Genan Wu , Xitian Cai , Trevor F. Keenan , Shenggong Li , Xiangzhong Luo , Joshua B. Fisher , Ruochen Cao , Fa Li , Adam J Purdy , Wei Zhao , Xiaomin Sun , Zhongmin Hu
Journal of Hydrology ( IF 5.9 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.jhydrol.2020.125553 Genan Wu , Xitian Cai , Trevor F. Keenan , Shenggong Li , Xiangzhong Luo , Joshua B. Fisher , Ruochen Cao , Fa Li , Adam J Purdy , Wei Zhao , Xiaomin Sun , Zhongmin Hu
Abstract Land surface models range in complexity of terrestrial evapotranspiration, yet it is unknown how model complexity translates to accuracy of modeled evapotranspiration estimates. Here, we use the International Land Model Benchmarking system to assess ET estimates from three models of varying complexity driven by the same forcing datasets: an earth system model, a terrestrial biosphere model, and a stand-alone ET model. The performance assessment includes both temporal and spatial evaluation, and different plant functional types across China. Our results indicate that the most complex model, an earth system model, performed best against the benchmarking datasets and metrics. Terrestrial biosphere model performed best in simulating inter-annual variability of ET, while earth system model performed best in simulating the seasonal cycle. The more complex models (earth system model and terrestrial biosphere model) perform better in forest, shrub and crop ecosystems, while the simpler model (stand-alone ET model) perform better in grass ecosystems. Our study demonstrates the impact of model complexity on ET estimates and highlights directions for future ET model improvements.
更新日期：2020-11-01
京公网安备 11010802027423号