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Dataset Overview | National Centers for Environmental Information (NCEI)

NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates, Version 1

Precipitation - CMORPH

browse graphicGlobal daily precipitation (mm) for 4 July, 2018, derived from the bias corrected CMORPH satellite precipitation estimates
This data set is for the bias-corrected, reprocessed CPC Morphing technique (CMORPH) high-resolution global satellite precipitation estimates. The CMORPH satellite precipitation estimates are created in two steps. First, the purely satellite-based global fields of precipitation are constructed through integrating Level 2 retrievals of instantaneous precipitation rates from all available passive microwave (PMW_ measurements aboard low earth orbiting platforms. Bias in these integrated satellite precipitation estimates is then removed through comparison against CPC daily gauge analysis over land and adjustment against the Global Precipitation Climatology Project (GPCP) merged analysis of pentad precipitation over ocean. The bias corrected CMORPH satellite precipitation estimates are created on an 8kmx8km grid over the global domain from 60deg S to 60deg N and in a 30-minute interval from January 1, 1998. Due to the delay of some input data sets, this formal version (Version 1) bias corrected CMORPH is produced manually once a month at a latency of 3-4 months.

For the CDR production, the bias corrected CMORPH generated at its native resolution of 8kmx8km / 30-minute is upscaled to form THREE sets of data files of different time/space resolution for improved user experience:

a) the full-resolution CMORPH data
Output variable: precipitation rate in mm/hour
spatial resolution: 8kmx8km (at equator)
spatial coverage: global (60S-60N)
temporal resolution: 30min
data period: January 1, 1998 to the present

b) Hourly CMORPH
Output variable: precipitation rate in mm/hour
spatial resolution: 0.25deg lat/lon
spatial coverage: global (60S-60N)
temporal resolution: hourly
data period: January 1, 1998 to the present

c) Daily CMORPH
Output variable: daily precipitation in mm/day
Printed 2015-06-08 - Verify Document Currency Before Use 1
spatial resolution: 0.25deg lat/lon
spatial coverage: global (60S-60N)
temporal resolution: hourly
data period: January 1, 1998 to the present

(b) and (c) are derived from and quantitatively consistent with the CMORPH at its original resolution (a).
  • Cite as: Xie, Pingping; Joyce, Robert; Wu, Shaorong; Yoo, S.-H.; Yarosh, Yelena; Sun, Fengying; Lin, Roger, NOAA CDR Program (2019): NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates, Version 1 [indicate subset]. NOAA National Centers for Environmental Information. https://doi.org/10.25921/w9va-q159 [access date]
gov.noaa.ncdc:C00948
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Distribution Formats
  • netCDF-4
Ordering Instructions Contact NCEI for other distribution options and instructions.
Distributor NOAA National Centers for Environmental Information
ncei.info@noaa.gov
Dataset Point of Contact NOAA Climate Data Record Program Office
+1 (828) 271-4800
cdr-ipt-cmorph@noaa.gov
Time Period 1998-01-01 to Present (time interval: 1-hour)
Spatial Bounding Box Coordinates
West: -180.0
East: 180.0
South: -90.0
North: 90.0
Spatial Coverage Map
General Documentation
Processing Documents
  • Source Code Package
    • Source Code Package
      This source code is for reference only. The source code is provided to maintain transparency of the algorithm and processes used in creating the Climate Data Record (CDR). The source code is not *****
  • CDR Data Flow Diagram
  • Climate Algorithm Theoretical Basis Document
Associated Resources
Publication Dates
  • publication: 2018-08-01
Edition Version 1
Data Presentation Form mapDigital
Dataset Progress Status Ongoing - data is continually being updated
Data Update Frequency Monthly
Purpose This data set is intended for the quantification of precipitation on a very high time / space resolution over a quasi global domain (60S-60N) and for an extended period from 1998. It is suited for the examination of precipitation and its temporal / spatial variations across a wide spectrum of scales from meso-scale to inter-annual.
Use Limitations
  • The quality of this version CMORPH is compromised for snowfall and cold season precipitation. In particular, it tends to under-estimate the precipitation amount during cold seasons over mid- and high latitudes.
Dataset Citation
  • Cite as: Xie, Pingping; Joyce, Robert; Wu, Shaorong; Yoo, S.-H.; Yarosh, Yelena; Sun, Fengying; Lin, Roger, NOAA CDR Program (2019): NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates, Version 1 [indicate subset]. NOAA National Centers for Environmental Information. https://doi.org/10.25921/w9va-q159 [access date]
Cited Authors
  • Pingping Xie
    DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
  • Robert Joyce
    DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
  • Shaorong Wu
    DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
  • S._h. Yoo
    DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
  • Yelena Yarosh
    DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
  • Fengying Sun
    DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
  • Robert Lin
    DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
  • NOAA CDR Program
Publishers
  • DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
Theme keywords Global Change Master Directory (GCMD) Science Keywords
  • Earth Science > Atmosphere > Precipitation > Precipitation Amount
Global Climate Observing System (GCOS) Essential Climate Variables (ECVs)
  • Atmospheric - Surface - Precipitation
Data Center keywords Global Change Master Directory (GCMD) Data Center Keywords
  • DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
Platform keywords Global Change Master Directory (GCMD) Platform Keywords
  • DMSP 5D-3/F16 > Defense Meteorological Satellite Program-F16
  • DMSP 5D-3/F17 > Defense Meteorological Satellite Program-F17
  • DMSP 5D-3/F18 > Defense Meteorological Satellite Program-F18
  • DMSP 5D-2/F13 > Defense Meteorological Satellite Program-F13
  • DMSP 5D-2/F14 > Defense Meteorological Satellite Program-F14
  • DMSP 5D-2/F15 > Defense Meteorological Satellite Program-F15
  • NOAA-18 > National Oceanic & Atmospheric Administration-18
  • NOAA-19 > National Oceanic & Atmospheric Administration-19
  • METOP-A > Meteorological Operational Satellite - A
  • METOP-B
  • NOAA-15 > National Oceanic & Atmospheric Administration-15
  • NOAA-16 > National Oceanic & Atmospheric Administration-16
  • NOAA-17 > National Oceanic & Atmospheric Administration-17
  • AQUA > Earth Observing System, AQUA
  • FY-3B > FengYun-3B
Instrument keywords Global Change Master Directory (GCMD) Instrument Keywords
  • Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > TMI > TRMM Microwave Imager
  • Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > AMSR > Advanced Microwave Scanning Radiometer
  • Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > SSMIS > Special Sensor Microwave Imager/Sounder
  • Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > SSM/I > Special Sensor Microwave/Imager
  • Earth Remote Sensing Instruments > Passive Remote Sensing > Profilers/Sounders > > MHS > Microwave Humidity Sounder
  • Earth Remote Sensing Instruments > Passive Remote Sensing > Profilers/Sounders > > AMSU-A > Advanced Microwave Sounding Unit-A
  • Earth Remote Sensing Instruments > Passive Remote Sensing > Profilers/Sounders > > AMSU-B > Advanced Microwave Sounding Unit-B
  • Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > MWRI > MicroWave Radiation Imager
Place keywords Global Change Master Directory (GCMD) Location Keywords
  • Geographic Region > Global
Project keywords Global Change Master Directory (GCMD) Project Keywords
  • TRMM > Tropical Rainfall Measuring Mission Project
Data Resolution keywords Global Change Master Directory (GCMD) Horizontal Data Resolution Keywords
  • 10 km - < 50 km or approximately .09 degree - < .5 degree
Global Change Master Directory (GCMD) Vertical Data Resolution Keywords
  • > 1 km
Global Change Master Directory (GCMD) Temporal Data Resolution Keywords
  • Hourly - < Daily
Stratum keywords Global Change Master Directory (GCMD) Location Keywords
  • Vertical Location > Land Surface
  • Vertical Location > Sea Surface
Use Constraints
  • Cite as: Xie, Pingping; Joyce, Robert; Wu, Shaorong; Yoo, S.-H.; Yarosh, Yelena; Sun, Fengying; Lin, Roger, NOAA CDR Program (2019): NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates, Version 1 [indicate subset]. NOAA National Centers for Environmental Information. https://doi.org/10.25921/w9va-q159 [access date]
  • Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Access Constraints
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Fees
  • In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
Lineage information for: dataset
Lineage Statement Bias corrected CMORPH is created using information from five categories of space-borne and in situ measurements. A complete description is available in the Algorithm Theoretical Basis Document.
Processing Steps
  • For a complete description of the processing steps, see the Algorithm Theoretical Basis Document and Data Flow Diagram.
Processing Documents
    • Source Code Package
      • Source Code Package
        This source code is for reference only. The source code is provided to maintain transparency of the algorithm and processes used in creating the Climate Data Record (CDR). The source code is not *****
Lineage information for: repository
Processing Steps
  • 2015-04-22T00:00:00 - NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015.
Last Modified: 2023-08-10
For questions about the information on this page, please email: ncei.info@noaa.gov