Identification and inter‐comparison of appropriate long‐term precipitation datasets using decision tree model and statistical matrix over China-Reference-Cited by-同舟云学术

Identification and inter‐comparison of appropriate long‐term precipitation datasets using decision tree model and statistical matrix over China

Published:2021-04-06 Issue:10 Volume:41 Page:5003-5021
ISSN:0899-8418
Container-title:International Journal of Climatology
language:en
Short-container-title:Int J Climatol

Author:

Faiz Muhammad Abrar¹^ORCID,Zhang Yongqiang¹^ORCID,Baig Faisal²³,Wrzesiński Dariusz⁴,Naz Farah⁵

Affiliation:

1. Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences Beijing China

2. Department of Civil and Environmental Engineering United Arab Emirates University Al Ain United Arab Emirates

3. National Water Center United Arab Emirates University Al Ain United Arab Emirates

4. Institute of Physical Geography and Environmental Planning Adam Mickiewicz University Poznań Poland

5. Department of Civil Engineering Khawaja Fareed University Rahim Yar Khan Pakistan

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/joc.7113

Reference83 articles.

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3. Performance evaluation of latest integrated multi-satellite retrievals for Global Precipitation Measurement (IMERG) over the northern highlands of Pakistan

4. PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies

5. Evaluation of NCEP–CFSR, NCEP–NCAR, ERA-Interim, and ERA-40 Reanalysis Datasets against Independent Sounding Observations over the Tibetan Plateau

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