Biophysical effects of vegetation cover change from satellite and models

Vegetation cover changes associated with land use and land cover change (LULCC) can perturb the local surface energy balance, which in turn can affect the local climate. Land surface models (LSMs) can be used to simulate such land-climate interactions, but their capacity to model these biophysical effects accurately across the globe remain unclear due to the complexity of the phenomena. This dataset provides idealized simulations from four LSMs (JULES, ORCHIDEE, JSBACH and CLM) that are harmonized with estimations obtained from satellite observations, enabling the inter-comparison and benchmarking of LSM performances and which can serve to identify model limitations and prioritize efforts in model development. The dataset provides the change in latent heat flux, in combined sensible and ground heat flux and in net radiation caused by 15 specific vegetation cover transitions on a 1° by 1° grid at monthly time scale for a synthetic year based on data from 2008 until 2012. The dataset was generated from a collaborative effort lead by JRC within the FP7 LUC4C project (luc4c.eu).与土地利用与土地覆被变化（Land Use and Land Cover Change, LULCC）相关的植被覆被变化，会扰动局地地表能量平衡，进而对局地气候产生影响。地表模型（Land Surface Models, LSMs）可用于模拟此类陆-气相互作用，但由于该类现象的复杂性，目前尚不清楚这些模型能否在全球范围内准确模拟这些生物物理效应。 本数据集提供了4款地表模型（LSMs，即JULES、ORCHIDEE、JSBACH与CLM）的理想试验模拟结果，这些模拟结果已与卫星观测估算值完成协调统一，可用于开展LSM性能的相互比对与基准测试，同时有助于识别模型局限性并明确模型开发的优先方向。 本数据集基于2008至2012年的观测数据，针对15种特定植被覆被转换过程，提供了其在1°×1°网格、月尺度合成年下引发的潜热通量变化、感热与地面热通量综合变化，以及净辐射变化。 本数据集由欧盟联合研究中心（Joint Research Centre, JRC）主导，在第七框架计划（FP7）的LUC4C项目（luc4c.eu）框架下合作生成。