基于PEW模型的全球陆地蒸散发数据集（1982-2018）

本数据集为基于PEW模型的全球地表蒸散发产品， PEW模型是基于等比例假设建立的水-能平衡蒸散发模型（Proportionality hypothesis-based surface Energy-Water balance model），其原理是在Priestley Taylor（PT）蒸散发算法的基础上，耦合基于等比例假设构造的水热平衡框架。PEW模型可以同时考虑水量平衡约束和能量收支过程的影响，使得PEW模型模拟精度相较于以往的模型有一定程度的提升。PEW的输入数据包括ERA5-land数据集气象和土壤含水量变化等数据，本数据集时间跨度为1982年-2018年，蒸散发单位为mm/month，时间分辨率为逐月，空间分辨率为0.1°。本数据集可为研究长时间尺度水循环和气候变化提供基础。This dataset is a global surface evapotranspiration product based on the PEW model. The PEW model is a water-energy balance evapotranspiration model developed based on the proportionality hypothesis, with its full name being the Proportionality hypothesis-based surface Energy-Water balance model. Its core principle is to couple the water-heat balance framework constructed based on the proportionality hypothesis with the Priestley-Taylor (PT) evapotranspiration algorithm. The PEW model can simultaneously consider both water balance constraints and energy budget processes, thereby enhancing the simulation accuracy to a certain extent compared with prior models. The input data of the PEW model includes meteorological data and soil moisture variation data sourced from the ERA5-land dataset. This dataset spans from 1982 to 2018, with evapotranspiration values measured in mm/month, a monthly temporal resolution, and a spatial resolution of 0.1 degrees. This dataset provides fundamental data support for research on long-term water cycles and climate change.

搜集汇总

背景与挑战

背景概述

该数据集是基于PEW模型的全球陆地蒸散发数据，时间跨度为1982-2018年，时间分辨率为逐月，空间分辨率为0.1°。PEW模型结合了Priestley-Taylor算法和水热平衡框架，提高了蒸散发的模拟精度，适用于研究长时间尺度的水循环和气候变化。