全球PML_V2陆地蒸散发与总初级生产力数据集（2002.07-2019.08）

PML_V2陆地蒸散发与总初级生产力数据集，包括总初级生产力（gross primary product, GPP），植被蒸腾（vegetation transpiration, Ec），土壤蒸发（soil evaporation, Es），冠层截流蒸发（vaporization of intercepted rainfall, Ei）和水体、冰雪蒸发（ET_water），共5个要素。数据格式为tiff，时空分辨率为8天、0.05°，时间跨度为2002.07-2019.08。

PML_V2在Penman-Monteith-Leuning (PML) 模型的基础上，根据气孔导度理论，耦合了GPP过程。GPP与ET相互制约、相互限制，使得PML_V2在ET模拟精度，相对于以往的模型有很大的提升。PML_V2的参数分不同的植被类型，在全球95个涡度相关通量站上率定。其后根据MODIS MCD12Q2.006 IGBP分类，将参数移植至全球。PML_V2采用GLDAS 2.1的气象驱动和MODIS 叶面积指数(LAI)、反射率(Albedo)，发射率(Emissivity)为输入，最终得到PML_V2陆地蒸散发与总初级生产力数据集。

The PML_V2 Terrestrial Evapotranspiration and Gross Primary Productivity Dataset includes five core variables: gross primary productivity (GPP), vegetation transpiration (Ec), soil evaporation (Es), vaporization of intercepted rainfall (Ei), and evaporation from water bodies, snow and ice (ET_water). The data is stored in TIFF format, with a spatiotemporal resolution of 8 days and 0.05°, covering the period from July 2002 to August 2019.

Based on the Penman-Monteith-Leuning (PML) model, PML_V2 couples the GPP process according to the stomatal conductance theory. Since GPP and ET are mutually constrained and regulated, the simulation accuracy of ET by PML_V2 has been greatly improved compared with prior models. The parameters of PML_V2 are categorized by vegetation types, and calibrated using data from 95 global eddy covariance flux towers. Subsequently, the parameters were globally extrapolated based on the MODIS MCD12Q2.006 IGBP land cover classification. PML_V2 uses meteorological forcing data from GLDAS 2.1, as well as MODIS Leaf Area Index (LAI), Albedo and Emissivity as input variables, to finally generate the PML_V2 Terrestrial Evapotranspiration and Gross Primary Productivity Dataset.

搜集汇总

背景与挑战

背景概述

该数据集提供全球陆地蒸散发与总初级生产力的8天、0.05度分辨率数据，时间跨度为2002年7月至2019年8月，包含总初级生产力、植被蒸腾、土壤蒸发、冠层截流蒸发和水体冰雪蒸发共5个要素。基于Penman-Monteith-Leuning模型耦合GPP过程，通过全球通量站率定参数，利用GLDAS和MODIS数据驱动，显著提升了蒸散发模拟精度。