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Category Text Publication
Reference Category Journals
DOI 10.5194/essd-13-5879-2021
Licence creative commons licence
Title (Primary) A harmonized global land evaporation dataset from model-based products covering 1980–2017
Author Lu, J.; Wang, G.; Chen, T.; Li, S.; Hagan, D.F.T.; Kattel, G.; Peng, J. ORCID logo ; Jiang, T.; Su, B.
Source Titel Earth System Science Data
Year 2021
Department RS
Volume 13
Issue 12
Page From 5879
Page To 5898
Language englisch
Topic T5 Future Landscapes
Data and Software links
Abstract Land evaporation (ET) plays a crucial role in hydrological and energy cycle. However, the widely used numerical products are still subject to great uncertainties due to imperfect model parameterizations and forcing data. Lack of available observed data has further complicated the estimation. Hence, there is an urgency to define the global benchmark land ET for climate-induced hydrology and energy change. In this study, we have used the coefficient of variation (CV) and carefully selected merging regions with high consistency of multiple data sets. Reliability Ensemble Averaging (REA) method has been used to generate a long-term (1980–2017) daily ET product with a spatial resolution of 0.25 degree by merging the selected three data sets, ERA5, GLDAS2 and MERRA2. GLEAM3.2a and flux tower observation data have been selected as the data for reference and evaluation, respectively. The results showed that the merged product performed well under a variety of vegetation cover conditions as the weights were distributed across the east-west direction banding manner, with greater differences near the equator. The merged product also captured well the trend of land evaporation over different areas, showing the significant decreasing trend in Amazon plain in South America and Congo Basin in central Africa, and the increasing trend in the east of North America, west of Europe, south of Asia and north of Oceania. In addition to model performance, REA method also successfully worked for the model convergence showing as an outstanding reference for data merging of other variables.
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Lu, J., Wang, G., Chen, T., Li, S., Hagan, D.F.T., Kattel, G., Peng, J., Jiang, T., Su, B. (2021):
A harmonized global land evaporation dataset from model-based products covering 1980–2017
Earth Syst. Sci. Data 13 (12), 5879 - 5898 10.5194/essd-13-5879-2021