CMORPH Precipitation
Half hourly bias-corrected and reprocessed CPC Morphing Technique (CMORPH) high-resolution global satellite precipitation estimates (on a global grid with 8km-by-8km spatial resolution) since 1998-01.
Use Agreement
The National Academy of Sciences has issued guidance for credit allocation in scientific work.
The CDR Program urges anyone using a NOAA CDR to honor this guidance by properly
recognizing the CDR scientists and the CDR Program following the acknowledgement and
citation examples below. In cases where a NOAA CDR becomes a fundamental part of a study,
publication, presentation or proposal, the CDR Program encourages users to offer coauthorship status to the original CDR developers. If the data are used we encourage the use of
the data citation to ensure data provenance and attribution.
Acknowledgement: The Precipitation - CMORPH Climate Data Record (CDR) used in this study
was acquired from the NOAA National Centers for Environmental Information (NCEI). This
CDR was developed by Pingping Xie of NOAA-CPC, Robert Joyce, Shaorong Wu Soo-Hyun
Yoo, Yelena Yarosh, Fengying Sun, and Roger Lin of Innovim, LLC.
Citation
Xie, P., R. Joyce, S. Wu, S.-H. Yoo, Y. Yarosh, F. Sun, R. Lin, NOAA CDR Program, 2019: NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates, Version 1. NOAA National Centers for Environmental Information. DOI: 10.25921/w9va-q159 [accessed 2022-01-12]
Xie, P., R. Joyce, S. Wu, S.-H. Yoo, Y. Yarosh, F. Sun, and R. Lin, 2017:
Reprocessed, bias-corrected CMORPH global high-resolution precipitation estimates. J. Hydrometeor., 18, DOI: 10.1175/JHM-D-16-0168.1.
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