1981-2019年全球逐日NPP模拟数据产品

本数据产品为1981-2019年逐日NPP数据，利用植被参数（叶面积指数、聚集度指数、地表覆盖）遥感数据、气象数据和大气CO2浓度等驱动日步长的机理性生态模型BEPS生成。覆盖全球有植被的陆地地区，空间分辨率为0.072727°×0.072727°，文件存储格式详见数据说明文档。

This data product consists of daily Net Primary Productivity (NPP) data spanning from 1981 to 2019. It was generated by running the daily-timestep mechanistic ecological model BEPS, which is driven by remote sensing data of vegetation parameters (Leaf Area Index, Aggregation Index, land cover), meteorological data, atmospheric CO₂ concentration, and other relevant datasets. This dataset covers all vegetated terrestrial regions globally, with a spatial resolution of 0.072727° × 0.072727°. Detailed file storage formats are specified in the data description document.