Global large reservoirs evaporation dataset (1985-2016)

Global large reservoirs evaporation dataset (1985-2016)


This dataset contains the monthly evaporation rate and volumes for 7242 reservoirs from March 1984 to December 2016 across the world. The evaporation rate was calculated using the three datasets viz. (1) TerraClimate; (2) ERA5; (3) Princeton Global Forcings. The surface area of these reservoirs is obtained from the Global reservoir surface area dataset (GRSAD). The detailed descriptions for this dataset are presented in Tian et al (2021,2022). The basic information of the global reservoirs was provided by the Global Reservoir and Dam Database (GRanD).


File naming and required software

File name: the reservoir evaporation data is stored in text format, and the file name is "sta.txt", where sta is the reservoir site number, and the number source is the information in GRanD v1.3.
Data reading method: all ASCII files in the data set can be directly opened with text programs (such as Notepad). Except for the header file, the main content is numerical representation of the evaporation rate and evaporation volume of the corresponding reservoir under the three meteorological forcing.


Data Citations Data citation guideline What's data citation?
Cite as:

Tian, W., Liu, X., Wang, K., Bai, P., Liu, C. (2022). Global large reservoirs evaporation dataset (1985-2016). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272727. CSTR: 18406.11.Terre.tpdc.272727. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Tian, W., Liu, X., Wang, K., Bai, P., Liu, C., & Liang, X. (2022). Estimation of Global Reservoir Evaporation Losses. Journal of Hydrology, 127524.( View Details | Bibtex)

2. Tian, W., Liu, X., Wang, K., Bai, P., & Liu, C. (2021). Estimation of reservoir evaporation losses for China. Journal of Hydrology, 596, 126142.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 180.00 West: 180.00
South: 90.00 North: 90.00
Details
  • Temporal resolution: Monthly
  • Spatial resolution: --
  • File size: 66 MB
  • Views: 1731
  • Downloads: 265
  • Access: Open Access
  • Temporal coverage: 1985-01-01 To 2016-12-31
  • Updated time: 2022-07-05
Contacts
: TIAN Wei    LIU Xiaomang   WANG Kaiwen    BAI Peng    LIU Changming   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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