基于全球陆地蒸散的地表能量平衡

本数据集是通过卫星数据和地表能量平衡法得到的全球陆地地表每天和每月的蒸散发量。该数据集的空间分辨率是5公里。ET数据生产的算法主要采用Chen et al. 2019 JGR 和Chen et al. 2013 (JAMC)最新修订的SEBS 算法。MODIS LST,NDVI,全球森林高度,GlobAlbedo都已经用于此ET数据集的计算中。模型产生的全球地表感热通量、净辐射通量和潜热通量可以联系作者获得。

遥感蒸散,能量平衡,MODIS,地表通量
:陈学龙 :北京市朝阳区林萃路16号院3号楼
:x.chen@itpcas.ac.cn : 010-84097108

数据内容:基于卫星数据和能量平衡方法的全球日/月蒸散量数据

数据来源:荷兰特温特大学

建设目的:水循环和气候变化

时间范围:从2000-03到2017-06

空间范围:-90 ~ 90°N,-180 ~ 180°E

空间分辨率: 0.05x0.05 度

数据格式:Matlab *.mat

学科:陆地表面水平衡

日蒸散发文件命名规则: 20001201-ET-V1.mat, 2000-year, 12-month,01-day, ET-Evapotranspiration, V1-version 1;蒸发单位: 毫米每天 (数据存储采用unit8格式,需转成单精度或双精度,转换后需要除10再使用);数据类型: 为了减小数据保存空间,采用unit8的数据保存格式,海洋和陆地水体象元为固定值255.

月蒸散发文件命名规则: ETm200012-ET-V1.mat, 2000-year, 12-month, ET-Evapotranspiration, V1-version 1; 蒸发单位:毫米每月 (数据存储采用int16格式,转成单精度或双精度使用,另外转换后需要除10); 数据类型:为减少存储空间采用int16的数据格式,海洋和陆地水体象元为固定值0.

负责人:陈学龙

机构:中国科学院青藏高原研究所; ITC, University of Twente, the Netherlands

The daily ET dataset is produced with a similar method and satellite data as in Chen, X., et al., 2014: Development of a 10 year (2001–2010) 0.1° dataset of land-surface energy balance for mainland China, Atmos. Chem. Phys., 14, 13097–13117, doi:10.5194/acp-14-13097-2014. The calculation of roughness length and kB_1 for global land were updated by the method in Chen, X., et al, 2019, A Column Canopy‐Air Turbulent Diffusion Method for Different Canopy Structures, Journal of Geophysical Research: Atmospheres, 2019.01.15, 124. Most of the satellite input data were from MODIS. Meteorological data was from ERA-Interim. Global canopy height information was derived from GLAS and MODIS NDVI. 

The daily ET has a mean bias (MB) of 0.04 mm/day, RMSE is 1.56 (±0.25) mm/day.

ET for Amazon river basin:

Paca, V. H. d. M., et al. (2019). The spatial variability of actual evapotranspiration across the Amazon River Basin based on remote sensing products validated with flux towers.Ecological Processes 8(1): 6.

 

ET for Red River basin in Vietnam:

Ha, L. T., Bastiaanssen, W. G. M., van Griensven, A., van Dijk, A. I. J. M., and Senay, G. B.: SWAT-CUP for Calibration of Spatially Distributed Hydrological Processes and Ecosystem Services in a Vietnamese River Basin Using Remote Sensing, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-251, 2017. 

Simons, G., et al. (2016). Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin. Remote Sensing 8(4): 279

 

Water balance of western Tibetan Plateau basin and Tarim basin:

Behrangi, A., et al. (2017). Using GRACE to constrain precipitation amount over cold mountainous basins. Geophysical Research Letters 44(1): 219-227.

Peng, J., Loew, A., Chen, X., Ma, Y., and Su, Z.: Comparison of satellite-based evapotranspiration estimates over the Tibetan Plateau, Hydrol. Earth Syst. Sci., 20, 3167-3182, doi:10.5194/hess-20-3167-2016, 2016.

该数据仅供学术研究使用。禁止用于其它目的(如商业用途)。 任何用户都不得将数据交于第三方使用。

建议用户标注以下出版物:

1. Chen, X. et al., 2019, A Column Canopy‐Air Turbulent Diffusion Method for Different Canopy Structures, Journal of Geophysical Research: Atmospheres, 2019.01.15, 124

2. Chen, X. et al., 2014: Development of a 10 year (2001–2010) 0.1° dataset of land-surface energy balance for mainland China, Atmos. Chem. Phys., 14, 13097–13117, doi:10.5194/acp-14-13097-2014.             

3. Chen, X. et. al., 2012: An Improvement of Roughness Height Parameterization of the Surface Energy Balance System (SEBS) over the Tibetan Plateau, Journal of Applied Meteorology and Climatology,52(3): 623-633. DOI: 10.5194/acp-14-13097-2014.

DOI: 10.5194/acp-14-13097-2014
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Surface energy balance based global land evapotranspiration          (您还未登录,请先登录后查看     登录)