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


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    fileIdentifier:  gov.noaa.ncdc:C00948
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                electronicMailAddress:  ncei.info@noaa.gov
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    dateStamp:  2023-08-10
    metadataStandardName:  ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
    metadataStandardVersion:  ISO 19115-2:2009(E)
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates, Version 1
            alternateTitle:  Precipitation - CMORPH
            date:  (CI_Date)
                date:  2018-08-01
                dateType:  (CI_DateTypeCode) publication
            edition:  Version 1
            identifier:  (MD_Identifier)
                code:
                  Anchor:  DOI doi:10.25921/w9va-q159
            identifier:  (MD_Identifier)
                code:  NCEI DSI 3618_01
            identifier:  (MD_Identifier)
                code:  gov.noaa.ncdc:C00948
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName:  DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
                role:  (CI_RoleCode) publisher
            citedResponsibleParty:  (CI_ResponsibleParty)
                individualName:  Pingping Xie
                organisationName:  DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
                role:  (CI_RoleCode) author
            citedResponsibleParty:  (CI_ResponsibleParty)
                individualName:  Robert Joyce
                organisationName:  DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
                role:  (CI_RoleCode) author
            citedResponsibleParty:  (CI_ResponsibleParty)
                individualName:  Shaorong Wu
                organisationName:  DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
                role:  (CI_RoleCode) author
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                individualName:  S._h. Yoo
                organisationName:  DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
                role:  (CI_RoleCode) author
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                individualName:  Yelena Yarosh
                organisationName:  DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
                role:  (CI_RoleCode) author
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                individualName:  Fengying Sun
                organisationName:  DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
                role:  (CI_RoleCode) author
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                individualName:  Robert Lin
                organisationName:  DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
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                organisationName:  NOAA CDR Program
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        abstract:  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).
        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.
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            fileName: https://www.ncei.noaa.gov/pub/data/metadata/images/C00948_CMORPH.gif
            fileDescription:  Global daily precipitation (mm) for 4 July, 2018, derived from the bias corrected CMORPH satellite precipitation estimates
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            keyword:  10 km - < 50 km or approximately .09 degree - < .5 degree
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            keyword:  DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
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                title:  Global Change Master Directory (GCMD) Data Center Keywords
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        resourceConstraints:  (MD_Constraints)
            useLimitation:  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.
        resourceConstraints:  (MD_LegalConstraints)
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  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]
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            otherConstraints:  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.
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                title:  Reprocessed, bias-corrected CMORPH global high-resolution precipitation estimates
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                    date:  2017
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                            linkage: https://doi.org/10.1175/JHM-D-16-0168.1
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                            name:  Reprocessed, bias-corrected CMORPH global high-resolution precipitation estimates
                            description:  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: http://dx.doi.org
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        language:  eng; USA
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            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.
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                description:  For a complete description of the processing steps, see the Algorithm Theoretical Basis Document and Data Flow Diagram.
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                                    name:  Source Code Package
                                    description:  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 *****
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                                        name:  Climate Algorithm Theoretical Basis Document
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                                role: (missing)
                        description:  See Algorithm Citation
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    dataQualityInfo:  (DQ_DataQuality)
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                description:  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.
                dateTime:
                  DateTime:  2015-04-22T00:00:00
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        maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) asNeeded
        maintenanceNote:  Bulk metadata change applied on 2023-07-06. See version control repository history for metadata change details.