Dataset of reconstructed terrestrial water storage in China based on precipitation(2002-2019)


This data set takes China as the research area, and the data set includes "decimal_ time”, "lat”, "lon”, "time”, "time_ bounds”, "TWSA_ REC" and "uncertainty" 7 parameters in total. Among them, "decimal_ time” corresponds to decimal time. There are 191 months (163 months for grace data, 17 months for grace-fo data, and 11 months for grace-fo interval) from April 2002 to December 2019. We have not made up for the missing data of individual months between grace or grace-fo data; "LAT" corresponds to the latitude range of the data; "lon" corresponds to the longitude range of the data; "time" corresponds to the annual product day of the data from January 1, 2002; and "time" corresponds to the annual product day of the data from January 1, 2002_ Bounds "; corresponding to the product day of the year corresponding to the start date and end date of each data month. “TWSA_ "REC" is the monthly change of China's regional land water reserves from April 2002 to December 2019; "uncertainty" is the uncertainty between the data and CSR rl06 mascon products. Using grace satellite gravity data CSR grace / grace-fo rl06 mascon solutions (version 02), China Daily grid precipitation real-time analysis system (version 1.0) data, and cn05.1 temperature data sets, the precipitation reconstruction model was established, and the seasonal and trend terms of CSR rl06 mascon products were considered to obtain the data set of land water storage change based on precipitation reconstruction in China. The data quality is good as a whole, and the error of most regions in China is within 5cm. This data set complements the more than one year data gap between grace and grace-fo satellites, and provides a complete time series for long-term land water storage change analysis in China. As the CSR rl06 mascon product, the average value between 2004.0000 and 2009.999 is deducted from this data set. Therefore, the data of 164-174 months (i.e. July 2017 to may 2018) of this data set can be directly extracted as the estimation of land water storage change in the intermittent period.


Data file naming and use method

TWSA is named as "TWSA_Rec2002_2019.nc", the data is stored in NetCDF format.
Data reading method: the dataset can be viewed and read by using Matlab/Python/ArcGIS.


Required Data Citation View Data Cite Help About Data Citation
Cite as:

ZHONG Yulong, FENG Wei, ZHONG Min, MING Zutao. Dataset of reconstructed terrestrial water storage in China based on precipitation(2002-2019). National Tibetan Plateau Data Center, 2020. doi: 10.11888/Hydro.tpdc.270990. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Zhong, Y., Feng, W., Humphrey, V., Zhong, M. (2019). Human-Induced and Climate-Driven Contributions to Water Storage Variations in the Haihe River Basin, China. Remote Sensing. 11, 3050.( View Details | Download | Bibtex)

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


Support Program

National Natural Science Foundation of China (No:42004073)

Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (No:26420190050)

the Second Tibetan Plateau Scientific Expedition and Research Program (STEP)

User Limit

To respect the intellectual property rights, protect the rights of data authors,expand servglacials 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.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


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


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Keywords
Geographic coverage
East: 136.00 West: 72.00
South: 18.00 North: 54.00
Detail
  • Temporal resolution: Monthly
  • Spatial resolution: 10km - 100km
  • File size: 54 MB
  • Browse count: 965 Times
  • Apply count: 84 Times
  • Share mode: online
  • Temporal coverage: 2002-05-04 To 2020-01-29
  • Updated time: 2021-01-31
Contact Information
: ZHONG Yulong   FENG Wei   ZHONG Min   MING Zutao  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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