34 key nodes of Pan third pole historical extreme precipitation dataset (2000-2018)
The pan third pole historical extreme precipitation data set includes 2000-2018 extreme precipitation identification data. One belt, one road, was used to assess the rainfall in the important area along the GPM IMERG Final Run (GPM) daily rainfall. The extreme precipitation threshold of 34 important nodes was evaluated by percentile method. The daily precipitation period was identified by the calculated threshold, and the surface inundation area was produced on the basis of extreme precipitation.
The data range mainly includes 34 key nodes of Pan third pole (Vientiane, Alexandria, Yangon, Calcutta, Warsaw, Karachi, yekajerinburg, Chittagong, Djibouti, etc.)
The data set can provide the basis for local government decision-making, so as to correctly identify extreme precipitation and reduce the loss of life and property caused by extreme precipitation.
The data is stored in the format of TXT text. The file name is "historical extreme precipitation identification + country name. TXT". It can be opened and read by a text program (such as Notepad).
He, Y. (2020). 34 key nodes of Pan third pole historical extreme precipitation dataset (2000-2018). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )
Related Literatures:1. Huffman GJ, Bolvin DT, Nelkin EJ. (2017). Integrated Multi-satellitE Retrievals for GPM (IMERG) Technical Documentation. Available online at: https://pmm.nasa.gov/sites/default/files/document_files/IMERG_doc.pdf (Accessed on 18 Feb 2020)( View Details | Download | Bibtex)
2. Li, Q.L., Zhang, W.C., Yi, L., Liu, J.P., & Chen, H. (2018). Accuracy evaluation and comparison of GPM and TRMM precipitation product over Mainland China. Advances in Water Science, 29(3), 303-313.( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)
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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)
1.HiWATER: the albedo in the middle reaches of the Heihe River Basin (Jun. 29, 2012)
2.Long time series ecological background map of Qinghai Tibet Plateau (1990-2015)
3.HiWATER: Airborne CCD image data in Hulugou Catchment
6.Daily cloudless MODIS snow albedo dataset of Babaohe River basin (2008-2014)
7.Guangxi Province 1:100000 landuse dataset (1985)
8.HiWATER: Airborne CCD image data in the Shenshawo desert area of the Heihe River Basin
9.1:100000 topographic index of the Heihe River Basin
10.HiWATER: Airborne CCD image data in the middle reaches of the Heihe River Basin on July. 26, 2012
No record
No record
Current page automatically show English comments Show comments in all languages
| East: 109.00 | West: 11.00 |
|---|---|
| South: 2.00 | North: 51.00 |
Contact Support
Northwest Institute of Eco-Environment and Resources, CAS
0931-4967287
poles@itpcas.ac.cn
Links
National Tibetan Plateau Data CenterFollow Us
A Big Earth Data Platform for Three Poles © 2018-2020 No.05000491 | All Rights Reserved
｜ 
No.11010502040845
Tech Support: westdc.cn
