Projections of Water Resources in Southeast Asian countries (2010-2100)

Projections of Water Resources in Southeast Asian countries (2010-2100)


The data contains the grid-scale future water resources forecast data (2010-2100) of the five South Asian countries (Myanmar, Thailand, Laos, Vietnam, and Cambodia). The data comes from the output of the DBH model in the Inter-Domain International Impact Model Comparison Program (ISIMIP), which takes meteorological data from multiple climate models as input, and finally obtains the average value of each model under the high emission scenario (RCP8.5) . The spatial interpolation method is used to downscale the 0.5 degree water resource data to 0.25 degree water resource estimate data. The data provided by ISIMIP has undergone good data quality testing and control, and there is no further verification after data interpolation. The data can be used for water resource assessment in five countries in South Asia.


File naming and required software

The data is saved in netCDF format. The file name includes model name, multi-model mean, future climate scenario, variable name, spatial range, time step and range: dbh_ensemblemean_rcp8p5_qtot_Sea5countries_monthly_2010_2100.nc. Use netCDF file reading and writing software to view file attributes and variable information, and read and use the data. The data covers five countries in Southeast Asia.


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Cite as:

Liu, X. (2021). Projections of Water Resources in Southeast Asian countries (2010-2100). A Big Earth Data Platform for Three Poles, (Download the reference: RIS | Bibtex )

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


Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

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


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Keywords
Geographic coverage
East: 110.00 West: 90.00
South: 5.00 North: 30.00
Details
  • Temporal resolution: Monthly
  • Spatial resolution: 10km - 100km
  • File size: 33 MB
  • Views: 841
  • Downloads: 177
  • Access: Open Access
  • Temporal coverage: 2010-01-01 To 2100-12-31
  • Updated time: 2021-12-01
Contacts
: LIU Xingcai  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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