Nujiang River Water Resources Temporal and Spatial Distribution Data Set (1998-2017)

Nujiang River Water Resources Temporal and Spatial Distribution Data Set (1998-2017)


This data is generated based on meteorological observation data, hydrological station data, combined with various assimilation data and remote sensing data, through the preparation of the Qinghai Tibet Plateau multi-level hydrological model system WEB-DHM (distributed hydrological model based on water and energy balance) coupling snow, glacier and frozen soil physical processes. The time resolution is monthly, the spatial resolution is 5km, and the original data format is ASCII text format, Data types include grid runoff and evaporation (if evaporation is less than 0, it means condensation; if runoff is less than 0, it means precipitation is less than evaporation in the month). If the asc cannot be opened normally in arcmap, please top the first 5 lines of the asc file.


File naming and required software

Data is in ASCII text format. Data naming method: observation item+year, month and day, such as Acc_ Q.199801.asc。
The unit of runoff is mm, and the unit of evaporation is mm, which can be opened with software such as arcgis.


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

Wang, L., Chai, C. (2022). Nujiang River Water Resources Temporal and Spatial Distribution Data Set (1998-2017). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272890. CSTR: 18406.11.Terre.tpdc.272890. (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.


References literature

1.Wang L, Koike T, Yang K, et al.(2009). Development of a distributed biosphere hydrological model and its evaluation with the Southern Great Plains Experiments (SGP97 and SGP99)[J]. Journal of Geophysical Research: Atmospheres, 114(D8). (View Details )

2.Wang, L., Zhou, J., Qi, J., Sun, L., Yang, K., & Tian, L., et al. (2017). Development of a land surface model with coupled snow and frozen soil physics. Water Resources Research, 53(6), 5085-5103. (View Details )

3.Chai, C., Wang, L., Chen, D., Zhou, J., Liu, H., Zhang, J., Wang, Y., Chen, T., & Liu, R. (2022). Future snow changes and their impact on the upstream runoff in Salween. Hydrol. Earth Syst. Sci. 26(18), 4657–4683. https://doi.org/10.5194/hess-26-4657-2022 (View Details )


Support Program

CASEarth:Big Earth Data for Three Poles(grant No. XDA19070000)"Spatial–temporal changes in the polar water and ecosystem" subproject (subproject No: XDA19070301)

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: 97.43 West: 90.98
South: 33.05 North: 30.03
Details
  • Temporal resolution: Monthly
  • Spatial resolution: 1km - 10km
  • File size: 24 MB
  • Views: 2929
  • Downloads: 152
  • Access: Open Access
  • Temporal coverage: 1998-01-01 To 2017-12-31
  • Updated time: 2022-11-02
Contacts
: WANG Lei   CHAI Chenhao   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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