This data is a simulated output data set of 5km monthly hydrological data obtained by establishing the WEB-DHM distributed hydrological model of the source regions of Yangtze River and Yellow River, using temperature, precipitation and pressure as input data, and GAME-TIBET data as verification data. The dataset includes grid runoff and evaporation (if the evaporation is less than 0, it means deposition; if the runoff is less than 0, it means that the precipitation in the month is less than evaporation). This data is a model based on the WEB-DHM distributed hydrological model, and established by using temperature, and precipitation (from itp-forcing and CMA) as input data, GLASS, MODIA, AVHRR as vegetation data, and SOILGRID and FAO as soil parameters. And by the calibration and verification of runoff，soil temperature and soil humidity, the 5 km monthly grid runoff and evaporation in the source regions of Yangtze River and Yellow River from 1998 to 2017 was obtained. If asc can't open normally in arcmap, please delete the blacks space of the top 5 lines of the asc file.

File naming and required software

Data is ASCII format, data naming method: observation item + date, such as: acc_et.199801.txt
The runoff unit is mm, and the evaporation unit is mm. It can be opened by software such as arcgis.

Data Citations Data citation guideline What's data citation?

Cite as:

Wang, L. (2019). The dataset of spatio-temporal water resources distribution in the source regions of Yangtze River and Yellow River (1998-2017). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Hydro.tpdc.270957. CSTR: 18406.11.Hydro.tpdc.270957. (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, et al.(2017). Development of a land surface model with coupled snow and frozen soil physics[J]. Water Resources Research, 53(6): 5085-5103. (View Details )

3.Qi J, Wang L, Zhou J, et al.(2019). Coupled snow and frozen ground physics improves cold region hydrological simulations: an evaluation at the upper Yangtze River Basin (Tibetan Plateau)[J]. Journal of Geophysical Research: Atmospheres, 124(23): 12985-13004. (View Details )

4.Song L, Wang L, Li X, et al.(2020). Improving permafrost physics in a distributed cryosphere‐hydrology model and its evaluations at the upper Yellow River Basin[J]. Journal of Geophysical Research: Atmospheres, 125(18): e2020JD032916. (View Details )

5.Wang L, Yao T, Chai C, et al. TP-River: Monitoring and quantifying total river runoff from the Third Pole[J]. Bulletin of the American Meteorological Society, 2021: 1-45. (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)