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SSMI(S) Hydrological Products


 (MI_Metadata)
    fileIdentifier:  gov.noaa.ncdc:C00789
    language:  eng; USA
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                electronicMailAddress:  ncei.info@noaa.gov
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    dateStamp:  2023-06-23
    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:  SSMI(S) Hydrological Products
            date:  (CI_Date)
                date:  2012-09-01
                dateType:  (CI_DateTypeCode) publication
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                date:  2017-11-01
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            edition:  Version 1
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                  Anchor:  DOI doi:10.7289/V5QF8R3K
            identifier:  (MD_Identifier)
                code:  NCEI DSI 3652_01
            identifier:  (MD_Identifier)
                code:  gov.noaa.ncdc:C00789
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                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:  Hilawe Semunegus
                organisationName:  DOC/NOAA/NESDIS/NCDC > National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce
                role:  (CI_RoleCode) principalInvestigator
            citedResponsibleParty:  (CI_ResponsibleParty)
                individualName:  Hilawe Semunegus
                organisationName:  DOC/NOAA/NESDIS/NCDC > National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce
                role:  (CI_RoleCode) author
            citedResponsibleParty:  (CI_ResponsibleParty)
                individualName:  Ralph Ferraro
                organisationName:  DOC/NOAA/NESDIS/STAR > Center for Satellite Applications and Research, NESDIS, NOAA, U.S. Department of Commerce
                role:  (CI_RoleCode) principalInvestigator
            citedResponsibleParty:  (CI_ResponsibleParty)
                individualName:  Ralph Ferraro
                organisationName:  DOC/NOAA/NESDIS/STAR > Center for Satellite Applications and Research, NESDIS, NOAA, U.S. Department of Commerce
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        abstract:  The Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager-Sounder (SSMIS) have been making measurements of earth-emitted microwave radiation for over two decades. Antenna temperature data from these sensors are used to derive both atmospheric and surface hydrological parameters and to generate these global monthly mean products. Specifically, this includes monthly or 5-day estimates of rainfall and its frequency, cloud liquid water and cloud frequency, water vapor, liquid water path, snow cover frequency, satellite sampling frequency and various imagery. The data collection consists of five different products: the Monthly 2.5 Degree Gridded Dataset, the Monthly 1.0 Degree Gridded Dataset, the Pentad 2.5 Degree Gridded Dataset, Imagery, and specially formatted files used in the Global Precipitation Climatology Project Dataset (GPCP). All data in this collection (except the Pentad and Imagery datasets) extend from July 1987 until present. Monthly 2.5 Degree Gridded Dataset Products included in this domain are taken from early orbits and include: mean cloud fraction (cfr), mean sea-ice cover (ice), liquid water path (lwp), mean rain fraction (pf2), rainfall (pr1), snow cover fraction (snw), mean sampling fraction (ssa), and mean total precipitable water (wvp). Products are averaged to 2.5 degree lat × 2.5 degree long grids. Imagery This dataset portrays monthly estimates of precipitable water (wvp), liquid water path (lwp), rainfall (pr1), and snow cover in both color and black and white. This domain of the SSM/I and SSMIS archive includes images of data from January 2006 to the present. GPCP Input files This time series domain of the SSM/I and SSMIS archive is formatted for the production of GPCP (Global Precipitation Climatology Project) datasets. The dataset is processed using early and late orbits plus a special "dual" orbit that combines the early and late satellite data. Products include rainfall (pr1 and pr2) and mean sampling fraction (ssa). The product is averaged to 2.5 degrees lat × 2.5 degrees long grids. Binary All data is also available in a legacy binary format, with the addition of a daily and pentad product. Products included in the daily domain are taken from early orbits and include: mean cloud fraction (cfr), mean sea-ice cover (ice), liquid water path (lwp), mean rain fraction (pf2), rainfall (pr1), snow cover fraction (snw), mean sampling fraction (ssa), and mean total precipitable water (wvp). Products are averaged to 1 lat x 1 long grids. Products included in Pentad domain are taken from specific satellite orbits and include: mean cloud fraction (cfr), mean sea-ice cover (ice), liquid water path (lwp), mean rain fraction (pf1 and pf2), rainfall (pr1 and pr2), snow cover fraction (snw), mean sampling fraction (ssa), and mean total precipitable water (wvp). Products are averaged to 2.5 lat x 2.5 long grids using 5-day estimates of rainfall and its frequency, cloud liquid water and cloud frequency, water vapor, liquid water path, snow cover frequency, satellite sampling frequency and various imagery. Pentad data only includes data from March 2008 to present. For a complete description of these products, please refer to all associated documentation.
        purpose:  This product is used to detect anomalies in precipitation patterns on a global scale. These products are useful for evaluating mean global precipitation, its interannual and seasonal variations, and the detection of anomalies associated with large-scale (e.g. ENSO, Arctic Oscillation) and regional climatic variations. Current users include members of the GPCP and the Climate Prediction Center, as well as various academic/government researchers nationally and internationally. It is a key input data source for the Global Precipitation Climatology Project (GPCP).
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            fileDescription:  SSMI-SSMIS Hydrological Products image example
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            keyword:  Earth Science > Cryosphere > Sea Ice > Ice Extent
            keyword:  Earth Science > Atmosphere > Clouds > Cloud Properties > Cloud Frequency
            keyword:  Earth Science > Atmosphere > Atmospheric Water Vapor
            keyword:  Earth Science > Atmosphere > Precipitation > Precipitation Rate
            keyword:  Earth Science > Atmosphere > Atmospheric Water Vapor > Water Vapor Indicators > Total Precipitable Water
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                    date:  2018
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                edition:  Version 8.6
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                    organisationName:  Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA)
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                            description:  The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords.
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            keyword:  Vertical Location > Land Surface
            keyword:  Vertical Location > Troposphere
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            keyword:  SSMIS > Special Sensor Microwave Imager/Sounder
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                            description:  The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords.
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            keyword:  DMSP 5D-2/F8 > Defense Meteorological Satellite Program-F8
            keyword:  DMSP 5D-2/F10 > Defense Meteorological Satellite Program-F10
            keyword:  DMSP 5D-2/F11 > Defense Meteorological Satellite Program-F11
            keyword:  DMSP 5D-2/F13 > Defense Meteorological Satellite Program-F13
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            keyword:  DMSP 5D-3/F16 > Defense Meteorological Satellite Program-F16
            keyword:  DMSP 5D-3/F17 > Defense Meteorological Satellite Program-F17
            keyword:  DMSP 5D-3/F18 > Defense Meteorological Satellite Program-F18
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            keyword:  Monthly Climatology
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                title:  Global Change Master Directory (GCMD) Temporal Data Resolution Keywords
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            keyword:  100 km - < 250 km or approximately 1 degree - < 2.5 degrees
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                title:  Global Change Master Directory (GCMD) Horizontal Data Resolution Keywords
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                            description:  The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords.
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            keyword:  DOC/NOAA/NESDIS/NCDC > National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce
            keyword:  DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
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        resourceConstraints:  (MD_Constraints)
            useLimitation:  In October 2017, 2.5 degree and gpcp-input data files were identified as having the incorrect data date encoded in the netCDF. These files have been replaced in the archive. Users are encouraged to use data files with a create date later than October 18, 2017 to ensure they are using the best quality file.
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            otherConstraints:  Cite as: Semunegus, Hilawe; Ferraro, Ralph: (2012) SSMI(S) Hydrological Products [indicate subset used]. NOAA National Climatic Data Center. doi:10.7289/V5QF8R3K[indicate access date]
        resourceConstraints:  (MD_LegalConstraints)
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Please also cite the following science paper when using this dataset: Vila, D., C. Hernandez, R. Ferraro, and H. Semunegus, 2013: The Performance of Hydrological Monthly Products Using SSM/I-SSMI/S Sensors. J. Hydrometeor., 14, 266-274, https://doi.org/10.1175/JHM-D-12-056.1
        resourceConstraints:  (MD_LegalConstraints)
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            otherConstraints:  Please also cite the following science paper when using this dataset: Ferraro, R.R., N.C. Grody, F. Weng, and A. Basist, 1996: An Eight-Year (1987-1994) Time Series of Rainfall, Clouds, Water Vapor, Snow Cover, and Sea Ice Derived from SSM/I Measurements. Bull. Amer. Meteor. Soc., 77, 891-905, https://doi.org/10.1175/1520-0477(1996)077<0891:AEYTSO>2.0.CO;2
        resourceConstraints:  (MD_LegalConstraints)
            accessConstraints:  (MD_RestrictionCode) otherRestrictions
            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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            otherConstraints:  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.
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                title:  An Eight-Year (1987-1994) Time Series of Rainfall, Clouds, Water Vapor, Snow Cover, and Sea Ice Derived from SSM/I Measurements.
                date:  (CI_Date)
                    date:  1996-01-01
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                    code:  Issue 77, pp. 891-905
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                    organisationName:  Bull. Amer. Meteor. Soc.
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                            linkage: https://doi.org/10.1175/1520-0477(1996)077%3C0891:AEYTSO%3E2.0.CO;2
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                            name:  An Eight-Year (1987-1994) Time Series of Rainfall, Clouds, Water Vapor, Snow Cover, and Sea Ice Derived from SSM/I Measurements.
                            description:  Published paper associated with dataset. DOI: http://dx.doi.org/10.1175/1520-0477(1996)077<0891:AEYTSO>>2.0.CO;2
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                title:  Improved Global Rainfall Retrieval Using the Special Sensor Microwave Imager (SSM/I).
                date:  (CI_Date)
                    date:  2010-01-01
                    dateType:  (CI_DateTypeCode) publication
                identifier:  (MD_Identifier)
                    code:  49, 10321043; doi: http://dx.doi.org/10.1175/2009JAMC2294.1
                citedResponsibleParty:  (CI_ResponsibleParty)
                    organisationName:  J. Appl. Meteor. Climatol.
                    role:  (CI_RoleCode) publisher
                citedResponsibleParty:  (CI_ResponsibleParty)
                    organisationName: (missing)
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://doi.org/10.1175/2009JAMC2294.1
                            applicationProfile:  Web Browser
                            name:  Improved Global Rainfall Retrieval Using the Special Sensor Microwave Imager (SSM/I).
                            description:  Published paper associated with dataset. DOI: http://dx.doi.org/10.1175/2009JAMC2294.1
                            function:  (CI_OnLineFunctionCode) information
                    role: (missing)
            associationType:  (DS_AssociationTypeCode) largerWorkCitation
            initiativeType:  (DS_InitiativeTypeCode) collection
        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  The Performance of Hydrological Monthly Products Using SSM/I - SSMI/S Sensors
                date:  (CI_Date)
                    date:  2012-01-01
                    dateType:  (CI_DateTypeCode) publication
                identifier:  (MD_Identifier)
                    code:  49, 10321043; doi: http://dx.doi.org/10.1175/JHM-D-12-056.1
                citedResponsibleParty:  (CI_ResponsibleParty)
                    organisationName:  Journal of Hydrometeorology
                    role:  (CI_RoleCode) publisher
                citedResponsibleParty:  (CI_ResponsibleParty)
                    organisationName: (missing)
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://doi.org/10.1175/JHM-D-12-056.1
                            applicationProfile:  Web Browser
                            name:  The Performance of Hydrological Monthly Products Using SSM/I - SSMI/S Sensors
                            description:  Published paper associated with dataset. DOI: http://dx.doi.org/10.1175/JHM-D-12-056.1
                            function:  (CI_OnLineFunctionCode) information
                    role: (missing)
            associationType:  (DS_AssociationTypeCode) largerWorkCitation
            initiativeType:  (DS_InitiativeTypeCode) collection
        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  GPCP Monthly V2.3
                date:  (CI_Date)
                    date:  2017-02-21
                    dateType:  (CI_DateTypeCode) publication
                identifier:  (MD_Identifier)
                    code:  DOI: 10.7289/V56971M6
                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)
                    organisationName: (missing)
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://doi.org/10.7289/V56971M6
                            applicationProfile:  Web Browser
                            name:  GPCP Monthly V2.3
                            description:  Related dataset.
                            function:  (CI_OnLineFunctionCode) information
                    role: (missing)
            associationType:  (DS_AssociationTypeCode) largerWorkCitation
            initiativeType:  (DS_InitiativeTypeCode) collection
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) grid
        language:  eng; USA
        topicCategory:  (MD_TopicCategoryCode) climatologyMeteorologyAtmosphere
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                extentTypeCode:  1
                westBoundLongitude:  -180.0
                eastBoundLongitude:  180.0
                southBoundLatitude:  -90.0
                northBoundLatitude:  90.0
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:  ground condition
                    beginPosition:  1987-07-01
                    endPosition:
                    timeInterval:  1
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    distributionInfo:  (MD_Distribution)
        distributor:  (MD_Distributor)
            distributorContact:  (CI_ResponsibleParty)
                organisationName:  NOAA National Centers for Environmental Information
                contactInfo:  (CI_Contact)
                    address:  (CI_Address)
                        electronicMailAddress:  ncei.info@noaa.gov
                    onlineResource:  (CI_OnlineResource)
                        linkage: https://www.ncei.noaa.gov/contact
                        name:  NCEI Contact Information
                        description:  Information for contacts at NCEI.
                        function:  (CI_OnLineFunctionCode) information
                role:  (CI_RoleCode) distributor
            distributionOrderProcess:  (MD_StandardOrderProcess)
                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.
                orderingInstructions:  Contact NCEI for other distribution options and instructions.
            distributorFormat:  (MD_Format)
                name:  netCDF
                version:  4
                specification:  The NetCDF data files comply with the Climate and Forecast (CF) Metadata Conventions and the NetCDF Attribute Convention for Dataset Discovery (ACDD).
            distributorFormat:  (MD_Format)
                name:  Binary
                version: (missing)
            distributorTransferOptions:  (MD_DigitalTransferOptions)
                onLine:  (CI_OnlineResource)
                    linkage: https://doi.org/10.7289/V5QF8R3K
                    protocol:  HTTPS
                    applicationProfile:  Landing Page
                    name:  NCEI Dataset Landing Page
                    description:  Landing page for the dataset.
                    function:  (CI_OnLineFunctionCode) information
            distributorTransferOptions:  (MD_DigitalTransferOptions)
                transferSize: (missing)
                onLine:  (CI_OnlineResource)
                    linkage: https://www.ncei.noaa.gov/data/ssmi-ssmis-hydrological-products/
                    protocol:  HTTPS
                    applicationProfile:  Download
                    name:  NCEI Direct Download
                    description:  Direct Download links for dataset files.
                    function:  (CI_OnLineFunctionCode) download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
            extent:  #boundingExtent
        lineage:  (LI_Lineage)
            statement:  For more information about the production of this dataset, users should review the published science papers associated with the dataset.
            processStep:  (LE_ProcessStep)
                description:  NetCDF files are produced from the binary files.
                dateTime: (missing)
                processor:  (CI_ResponsibleParty)
                    organisationName: (missing)
                    role:  (CI_RoleCode) processor
                source:  sd001
            processStep:  (LE_ProcessStep)
                description:  In October 2017, 2.5 degree and gpcp-input data files were identified as having the incorrect data date encoded in the netCDF. These files have been replaced in the archive. Users are encouraged to use data files with a create date later than October 18, 2017, to ensure they are using the best quality file.
                dateTime: (missing)
                processor:  (CI_ResponsibleParty)
                    organisationName: (missing)
                    role:  (CI_RoleCode) processor
            source:  (LE_Source)
                description:  Defense Meteorological Satellite Program
                sourceCitation:  (CI_Citation)
                    title:  CLASS Search Page for DMSP data
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  DOC/NOAA/CLASS > Comprehensive Large Array-data Stewardship System, NOAA, U.S. Department of Commerce
                        role:  (CI_RoleCode) distributor
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName: (missing)
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://www.class.noaa.gov/saa/products/search?datatype_family=DMSP
                                applicationProfile:  Web Browser
                                name:  CLASS Search Page for DMSP data
                                description:  Search for SSMI/SSMIS data from the DMSP CLASS data family.
                                function:  (CI_OnLineFunctionCode) information
                        role: (missing)
                sourceExtent:  (EX_Extent)
                    geographicElement:  (EX_GeographicBoundingBox)
                        extentTypeCode:  1
                        westBoundLongitude:  -180.0
                        eastBoundLongitude:  180.0
                        southBoundLatitude:  -90.0
                        northBoundLatitude:  90.0
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimePeriod:
                            beginPosition:  1987-07-01
                            endPosition:
                sourceStep:  ps001
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) repository
            levelDescription:  (MD_ScopeDescription)
                other:  NOAA National Centers for Environmental Information
        lineage:  (LI_Lineage)
            processStep:  (LE_ProcessStep)
                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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    metadataMaintenance:  (MD_MaintenanceInformation)
        maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) asNeeded
        maintenanceNote:  Bulk metadata change applied on 2023-06-23. See version control repository history for metadata change details.