Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Sci Data. 2020 Oct 27;7(1):369. doi: 10.1038/s41597-020-00693-x.
The ratio of plant transpiration to total terrestrial evapotranspiration (T/ET) captures the role of vegetation in surface-atmosphere interactions. However, several studies have documented a large variability in T/ET. In this paper, we present a new T/ET dataset (also including transpiration, evapotranspiration data) for China from 1981 to 2015 with spatial and temporal resolutions of 0.05° and 8 days, respectively. The T/ET dataset is based on a model-data fusion method that integrates the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model with multivariate observational datasets (transpiration and evapotranspiration). The dataset is driven by satellite-based leaf area index (LAI) data from GLASS and GLOBMAP, and climate data from the Chinese Ecosystem Research Network (CERN). Observational annual T/ET were used to validate the model, with R and RMSE values were 0.73 and 0.07 (12.41%), respectively. The dataset provides significant insight into T/ET and its changes over the Chinese terrestrial ecosystem and will be beneficial for understanding the hydrological cycle and energy budgets between the land and the atmosphere.
植物蒸腾与总陆面蒸散（T/ET）之比反映了植被在地表-大气相互作用中的作用。然而，有几项研究记录了 T/ET 的很大变异性。本文提供了一个新的中国 T/ET 数据集（也包括蒸腾和蒸散数据），时间分辨率为 8 天，空间分辨率为 0.05°。T/ET 数据集基于模型-数据融合方法，该方法将 Priestley-Taylor 喷气推进实验室（PT-JPL）模型与多变量观测数据集（蒸腾和蒸散）相结合。数据集由 GLASS 和 GLOBMAP 的基于卫星的叶面积指数（LAI）数据以及中国生态系统研究网络（CERN）的气候数据驱动。观测到的年 T/ET 被用来验证模型，R 和 RMSE 值分别为 0.73 和 0.07（12.41%）。该数据集提供了对中国陆地生态系统中 T/ET 及其变化的深入了解，有助于理解陆地和大气之间的水文循环和能量收支。
