基于日光诱导叶绿素荧光的全球陆表蒸散发产品（2010-2020）

该数据集为河海大学金佳鑫团队自主研发的空间分辨率0.25°逐日全球陆表蒸散发产品。原始数据包括GLDAS气象再分析资料、MODIS土地覆盖数据、GLASS LAI和FPAR数据、CSIF荧光遥感数据、CO2再分析数据以及FLUXNET2015通量站点观测数据。首先使用SIF和LAI指征植被生长状况，结合站点通量与气象等实测数据，建立“导度-光合”模型关键参数（导度斜率参数）估算方案；其次，基于优化的“导度-光合”模型和P-M方程，利用空间驱动数据估算植被冠层气孔导度和冠层蒸腾；再次，利用P-M模型计算植被土壤蒸发，采用Biome-BGC模型中的冠层截留模块计算截留蒸发；最后，结合三者计算得到2010-2020年全球陆表蒸散发产品。

This dataset is a daily global land surface evapotranspiration product with a spatial resolution of 0.25°, independently developed by the team led by Jin Jiaxin from Hohai University. The original data include GLDAS meteorological reanalysis data, MODIS land cover data, GLASS LAI and FPAR data, CSIF fluorescence remote sensing data, CO₂ reanalysis data, and FLUXNET2015 flux site observation data. First, SIF and LAI were used to indicate vegetation growth status, and combined with in-situ measured data such as site flux and meteorological data, an estimation scheme for the key parameters (conductance slope parameter) of the "conductance-photosynthesis" model was established. Second, based on the optimized "conductance-photosynthesis" model and the Penman-Monteith (P-M) equation, spatial driving data were utilized to estimate vegetation canopy stomatal conductance and canopy transpiration. Third, vegetation soil evaporation was calculated using the P-M model, and canopy interception evaporation was computed with the canopy interception module in the Biome-BGC model. Finally, the three components were integrated to generate the global land surface evapotranspiration product for the period 2010–2020.

搜集汇总

背景与挑战

背景概述

该数据集是河海大学金佳鑫团队研发的2010-2020年全球陆表蒸散发产品，空间分辨率0.25°、时间分辨率逐日，基于日光诱导叶绿素荧光和遥感数据，通过优化模型估算蒸散发。数据以NetCDF格式开放共享，需遵循引用规范。