基于Shuttleworth-Wallace模型的全球5km逐月潜在蒸散发数据集（1982–2015）

作为蒸散发（ET）的理论上限，潜在蒸散发（PET）一直以来都是各个学科重点关注的一个关键变量。然而，由于非真实的下垫面设置和不合理的模型参数化，目前PET数据集及主要PET模型依然存在诸多不确定性。因此，研究充分考虑植被参数（如植被气孔导度、CO2效应对植被气孔导度的影响）的种间差异，并应用经过严格筛选的全球96个通量塔观测的PET（即不受水分胁迫的ET）数据，对Shuttleworth-Wallace（SW）双源模型进行了率定和参数化。评估结果显示，无论是在模型率定期和验证期，率定后的模型均可以较好地模拟出PET。基于1982–2015年四套气象数据（MSWX-Past、CRU TS4.06、ERA-5和MERRA-2）、重制的全球植被冠层高度、土地利用/覆盖数据集（GLASS-GLC）、叶面积指数数据（GLASS AVHRR LAI）以及格点化的全球CO2浓度数据，生产了全球（60oS–85oN，180oW–180oE）逐月5km的PET、潜在蒸腾（PT）和潜在土壤蒸发（PE）产品；需要注意的是，考虑气象数据的不确定性，最终提供PET、PT和PE的集合产品。该数据集的主要特点如下：（1）估算的PET更加贴近现实情况；（2）给出了PET的二组分PT和PE；（3）考虑了植被CO2生理效应对PET过程的影响。该数据集将为全球气候变化研究、水文模拟、干旱指数计算以及农业用水估算等相关领域的研究提供新的数据选择。

As the theoretical upper limit of evapotranspiration (ET), potential evapotranspiration (PET) has long been a critical variable receiving extensive attention across various disciplines. However, due to unrealistic underlying surface settings and unreasonable model parameterization, current PET datasets and major PET models still face considerable uncertainties. Therefore, this study fully considered the interspecific differences in vegetation parameters (e.g., vegetation stomatal conductance and the effects of CO2 on vegetation stomatal conductance), and calibrated and parameterized the Shuttleworth-Wallace (SW) two-source model using the strictly screened global PET data (i.e., ET without water stress) collected from 96 flux towers. Evaluation results show that the calibrated model can well simulate PET in both the model calibration and validation periods. Based on four sets of meteorological data from 1982–2015 (MSWX-Past, CRU TS4.06, ERA-5, and MERRA-2), reprocessed global vegetation canopy height, land use/cover dataset (GLASS-GLC), leaf area index data (GLASS AVHRR LAI), and gridded global CO2 concentration data, this study produced global 5-km monthly PET, potential transpiration (PT), and potential soil evaporation (PE) products covering the region of 60°S–85°N, 180°W–180°E; It is worth noting that, considering the uncertainties in meteorological data, the final ensemble products of PET, PT, and PE are provided. The main characteristics of this dataset are as follows: (1) The estimated PET is more consistent with real-world conditions; (2) The two components of PET, PT and PE, are provided; (3) The physiological effects of vegetation CO2 on the PET process are considered. This dataset will provide a new data option for research in related fields such as global climate change studies, hydrological simulation, drought index calculation, and agricultural water use estimation.

搜集汇总

背景与挑战

背景概述

该数据集是基于Shuttleworth-Wallace模型生成的全球5km逐月潜在蒸散发数据（1982-2015），包含潜在蒸散发（PET）、潜在蒸腾（PT）和潜在土壤蒸发（PE）三个变量，考虑了植被CO2生理效应，数据格式为NetCDF，适用于全球气候变化研究、水文模拟等领域。