2000-2022年ETMonitor全球逐日1公里地表实际蒸散发

地表实际蒸散发是陆表水循环的关键环节，同时也是能量平衡的重要支出项，且与地表碳收支密切相关，其准确估算不仅对于研究地球系统和全球气候变化具有重要意义，而且对于水资源有效开发利用、农作物需水生产管理、旱情监测和预测、天气预报等方面具有十分重要的应用价值。ETMonitor全球逐日1公里分辨率地表实际蒸散发数据集是基于多参数化、适用于不同土地覆盖类型的地表蒸散发遥感估算模型ETMonitor计算得到，输入数据主要采用的遥感数据包括全球陆表特征参量数据产品（GLASS）叶面积指数、植被覆盖度和反照率数据、以及MODIS地表覆盖和积雪覆盖数据、动态地表水体覆盖、ESA CCI土壤水分、GPM降水和欧洲中期天气预报中心ERA5全球大气再分析数据等。利用ETMonitor模型在日尺度上估算1公里分辨率像元尺度的植被蒸腾、土壤蒸发、冠层降水截留蒸发、水面蒸发和冰雪升华，并对各分量求和获得逐像元逐日蒸散发量。利用FLUXNET等地面观测数据进行直接验证，估算结果与地面实测数据一致性较好，逐日蒸散发验证RMSE为0.93mm/d，误差为0.08 mm/d，相关系数为0.75。本次发布的ETMonitor全球1公里分辨率地表实际蒸散发数据集覆盖全球，时间步长为每日，空间分辨率为1公里，单位为mm/d，数据类型为整型，缩放系数为0.01，无效值填充-1。使用该数据集时请引用参考文献: Zheng C., Jia L., Hu G. Global Land Surface Evapotranspiration Monitoring by ETMonitor Model Driven by Multi-source Satellite Earth Observations. Journal of Hydrology, 2022, 128444; https://doi.org/10.1016/j.jhydrol.2022.128444.

Actual land surface evapotranspiration (ET) is a critical component of the terrestrial water cycle, a major term in the energy balance, and closely linked to surface carbon budgets. Accurate estimation of ET is not only of great significance for studying the Earth system and global climate change, but also holds vital application value in efficient water resource development and utilization, crop water demand management, drought monitoring and forecasting, weather forecasting, and other related fields. The ETMonitor Global Daily 1-kilometer Resolution Actual Land Surface Evapotranspiration Dataset is calculated using the ETMonitor remote sensing-based ET estimation model, which adopts multi-parameterization and is applicable to various land cover types. The main input remote sensing datasets include Global Land Surface Satellite (GLASS) products of leaf area index, vegetation fraction and albedo, MODIS land cover and snow cover products, dynamic surface water cover data, ESA CCI soil moisture data, GPM precipitation data, and ECMWF ERA5 global atmospheric reanalysis data, among others. The ETMonitor model estimates five ET components at daily scale and 1-kilometer pixel resolution, namely vegetation transpiration, soil evaporation, canopy precipitation interception evaporation, open water evaporation and snow/ice sublimation, and the sum of these components yields the pixel-wise daily actual evapotranspiration. Direct validation using in-situ observational datasets including FLUXNET shows that the estimated results have good consistency with ground measured data: the validation RMSE of daily evapotranspiration is 0.93 mm/d, the mean bias is 0.08 mm/d, and the correlation coefficient is 0.75. The newly released ETMonitor global 1-kilometer resolution actual land surface evapotranspiration dataset covers the entire globe, with a daily temporal step, 1-kilometer spatial resolution, unit of mm/d, stored as integer data with a scaling factor of 0.01, and invalid values are filled with -1. Please cite the following reference when using this dataset: Zheng C., Jia L., Hu G. Global Land Surface Evapotranspiration Monitoring by ETMonitor Model Driven by Multi-source Satellite Earth Observations. Journal of Hydrology, 2022, 128444; https://doi.org/10.1016/j.jhydrol.2022.128444.

搜集汇总

背景与挑战

背景概述

该数据集是基于ETMonitor模型生成的全球地表实际蒸散发产品，覆盖2000年至2022年，提供逐日、1公里分辨率的数据，用于估算植被蒸腾、土壤蒸发等分量，在水循环和气候变化研究中具有重要应用。数据集利用多源遥感数据驱动，经过地面观测验证，准确性较高（RMSE 0.93mm/d，相关系数0.75），并以hdf5格式存储，总容量1.07 TB。