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HDF5_GLOBAL.ShortName: GPCPMON HDF5_GLOBAL.LongName: GPCP Precipitation Level 3 Monthly 0.5-Degree V3.1 HDF5_GLOBAL.VersionID: 3.1 HDF5_GLOBAL.GranuleID: GPCPMON_L3_201609_V3.1.nc4 HDF5_GLOBAL.Format: NetCDF-4 HDF5_GLOBAL.RangeBeginningDate: 2016-09-01 HDF5_GLOBAL.RangeBeginningTime: 00:00:00.000000 HDF5_GLOBAL.RangeEndingDate: 2016-09-30 HDF5_GLOBAL.RangeEndingTime: 23:59:59.999999 HDF5_GLOBAL.ProductionDateTime: 2020-06-25T15:48:00Z HDF5_GLOBAL.Conventions: CF-1.5 HDF5_GLOBAL.NorthernmostLatitude: 90.00000000 HDF5_GLOBAL.SouthernmostLatitude: -90.00000000 HDF5_GLOBAL.WesternmostLongitude: -180.0000000 HDF5_GLOBAL.EasternmostLongitude: 180.0000000 HDF5_GLOBAL.LatitudeResolution: 0.5000000000 HDF5_GLOBAL.LongitudeResolution: 0.5000000000 HDF5_GLOBAL.Entry_ID: GPCPMON_3.1 HDF5_GLOBAL.Entry_Title: GPCP Precipitation Level 3 Monthly 0.5-Degree V3.1 (GPCPMON) at GES DISC HDF5_GLOBAL.Title: GPCP Precipitation Level 3 Monthly 0.5-Degree V3.1 HDF5_GLOBAL.Science_Keywords: EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION RATE HDF5_GLOBAL.ISO_Topic_Category: Climatology/Meteorology/Atmosphere HDF5_GLOBAL.Data_Center_ShortName: NASA/GSFC/SED/ESD/GCDC/GESDISC HDF5_GLOBAL.Data_Center_LongName: Goddard Earth Sciences Data and Information Services Center formerly Goddard DAAC),Global Change Data Center, Earth Sciences Division,Science and Exploration Directorate, Goddard Space Flight Center,NASA HDF5_GLOBAL.Data_Center_URL: https://disc.gsfc.nasa.gov/ HDF5_GLOBAL.Data_Center_Role: DATA CENTER CONTACT HDF5_GLOBAL.Data_Center_Last_Name: GES DISC help Desk Support Group HDF5_GLOBAL.Data_Center_Email: gsfc-help-disc@lists.nasa.gov HDF5_GLOBAL.Data_Center_Phone: 301-614-5224 HDF5_GLOBAL.Data_Center_Fax: 301-614-5268 HDF5_GLOBAL.Data_Center_Address: Goddard Earth Sciences Data and Information Services Center, Code 610.2, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA HDF5_GLOBAL.Data_Set_Progress: Stable Version HDF5_GLOBAL.DataSetQuality: A rudimentary estimate of the quality of the precipitation estimates is provided in the combined satellite-gauge precipitation random error field. The method used to estimate the random error is based on the technique described in Huffman (1997). In general, estimating meaningful error is a difficult prospect and is currently the subject of intensive research. Since inception, the GPCP has strived to maintain CDR standards in all its data sets, despite not officially being a CDR. Homogeneity in the record takes precedence over instantaneous accuracy. Over the long-term, GPCP represents the current state of the art. GPCP estimates are most accurate in the tropics, and less so in the subtropics and mid-latitudes. Above 58N and below 58S, the estimates are more approximate. High-quality gauge analyses are incorporated to vastly improve the estimates over land. Note that the land estimates are of lesser quality in the more challenging regions such as complex terrain and snow and ice covered surfaces. The GPCP estimates are most appropriate for studies where a long record is necessary, but less useful for short-interval studies and the examination of extremes. HDF5_GLOBAL.Summary: The Global Precipitation Climatology Project (GPCP) is the precipitation component of an internationally coordinated set of (mainly) satellite-based global products dealing with the Earth's water and energy cycles, under the auspices of the Global Water and Energy Experiment (GEWEX) Data and Assessment Panel (GDAP) of the World Climate Research Program. As the follow on to the GPCP Version 2.X products, GPCP Version 3 (GPCP V3.1) seeks to continue the long, homogeneous precipitation record using modern merging techniques and input data sets. The GPCPV3 suite currently consists the 0.5-degree monthly. Follow-on products may be added, which consist of (1) 0.5-degree pentad, (2) 0.5-degree daily, and (3) 0.1-degree 3-hourly. All GPCPV3 products will be internally consistent. The monthly product spans 1983 - 2018. Inputs consist of the GPROF SSMI/SSMIS orbit files that are used to calibrate the PERSIANN-CDR IR-based precipitation in the span 60NS. The GPROF-adjusted PERSIANN-CDR IR estimates are then climatologically adjusted to the blended TCC/MCTG. Outside of 58NS, TOVS/AIRS estimates, adjusted climatologically to the MCTG, are used. The PERSIANN-CDR / TOVS/AIRS estimates are then merged in the region 35NS-58NS, which are then merged with GPCC gauge analyses over land to obtain the final product. In addition to the final precipitation field, ancillary precipitation and error estimates are provided. HDF5_GLOBAL.Validation_Data: Validation of the GPCPV3 data sets is currently in process. Previous validation efforts for GPCPV2.2 included comparisons with high-density rain gauge data sets (not part of the GPCC gauge analysis) and PACRAIN atoll gauges. HDF5_GLOBAL.Source: The input satellite data sources can be found in the satellite source index field. Note that gauge analyses are always included over land. HDF5_GLOBAL.MapProjection: Cylindrical Equidistant HDF5_GLOBAL.Dataset_Creator: George J. Huffman and David T. Bolvin HDF5_GLOBAL.Dataset_Title: GPCP Precipitation Level 3 Monthly 0.5-Degree V3.1 HDF5_GLOBAL.Dataset_Series_Name: GPCPMON HDF5_GLOBAL.Dataset_Release_Date: 2019-03-08 HDF5_GLOBAL.Dataset_Release_Place: Greenbelt,MD,USA HDF5_GLOBAL.Dataset_Publisher: Goddard Earth Sciences Data and Information Services Center (GES DISC) HDF5_GLOBAL.IdentifierProductDOI: 10.5067/DBVUO4KQHXTK HDF5_GLOBAL.Data_Presentation_Form: Digital Science Data HDF5_GLOBAL.RelatedURL: https://precip.gsfc.nasa.gov HDF5_GLOBAL.References: Data set references will be provided HDF5_GLOBAL.Role: INVESTIGATOR HDF5_GLOBAL.First_Name: George HDF5_GLOBAL.Last_Name: Huffman HDF5_GLOBAL.Phone: 301-614-6308 HDF5_GLOBAL.FAX: 301-614-5492 HDF5_GLOBAL.Email: george.j.huffman@nasa.gov HDF5_GLOBAL.Contact_Address: Mesoscale Atmospheric Proccesses Laboratory, Code 612.0, NASA Goddard Space Flight Center HDF5_GLOBAL.City: Greenbelt HDF5_GLOBAL.Provence_or_State: MD HDF5_GLOBAL.Postal_Code: 20771 HDF5_GLOBAL.Country: USA HDF5_GLOBAL.Use_Constraints: This data set is not yet fully validated. Before using it in any publication please contact George Huffman, email: george.j.huffman@nasa.gov, for current known problems and updates. HDF5_GLOBAL.Distribution_Media: Online Archive HDF5_GLOBAL.Distribution_Size: Approximately 7 MB per file HDF5_GLOBAL.Distribution_Format: NetCDF-4 HDF5_GLOBAL.IdentifierProductDOIAuthority: http://dx.doi.org/ HDF5_GLOBAL.Fees: None HDF5_GLOBAL.ProcessingLevel: Level 3 HDF5_GLOBAL.Institution: Mesoscale Atmospheric Processes Laboratory, NASA GSFC
Variables:
satellite_precip
: Array of 32 bit Reals [time = 0..0][lat = 0..359][lon = 0..719]
time:
lat:
lon:
units: mm/day long_name: multisatellite precipitation _FillValue: -99999.00000 valid_range: 0.000000000, 100.0000000 cell_methods: time: mean origname: satellite_precip fullnamepath: /satellite_precip
sat_gauge_precip
: Array of 32 bit Reals [time = 0..0][lat = 0..359][lon = 0..719]
time:
lat:
lon:
units: mm/day long_name: combined satellite-gauge precipitation _FillValue: -99999.00000 valid_range: 0.000000000, 100.0000000 cell_methods: time: mean origname: sat_gauge_precip fullnamepath: /sat_gauge_precip
sat_gauge_error
: Array of 32 bit Reals [time = 0..0][lat = 0..359][lon = 0..719]
time:
lat:
lon:
units: mm/day long_name: combined satellite-gauge precipitation random error _FillValue: -99999.00000 valid_range: 0.000000000, 100.0000000 cell_methods: time: mean origname: sat_gauge_error fullnamepath: /sat_gauge_error
gauge_precip
: Array of 32 bit Reals [time = 0..0][lat = 0..359][lon = 0..719]
time:
lat:
lon:
units: mm/day long_name: wind-loss adjusted gauge precipitation _FillValue: -99999.00000 valid_range: 0.000000000, 100.0000000 cell_methods: time: mean origname: gauge_precip fullnamepath: /gauge_precip
probability_liquid_precip
: Array of 16 bit Integers [time = 0..0][lat = 0..359][lon = 0..719]
time:
lat:
lon:
units: percent long_name: probability of liquid precipitation _FillValue: -9999 cell_methods: time: mean origname: probability_liquid_precip fullnamepath: /probability_liquid_precip
quality_index
: Array of 32 bit Reals [time = 0..0][lat = 0..359][lon = 0..719]
time:
lat:
lon:
units: 1 long_name: quality index _FillValue: -99999.00000 valid_range: 0.000000000, 700.0000000 cell_methods: time: mean origname: quality_index fullnamepath: /quality_index
time_bnds
: Array of 64 bit Reals [time = 0..0][bnds = 0..1]
time:
bnds:
long_name: time bounds origname: time_bnds fullnamepath: /time_bnds
gauge_relative_weight
: Array of 16 bit Integers [time = 0..0][lat = 0..359][lon = 0..719]
time:
lat:
lon:
units: percent long_name: gauge relative weighting _FillValue: -9999 valid_range: 0, 100 cell_methods: time: mean origname: gauge_relative_weight fullnamepath: /gauge_relative_weight
satellite_source
: Array of 16 bit Integers [time = 0..0][lat = 0..359][lon = 0..719]
time:
lat:
lon:
units: index value long_name: satellite source index _FillValue: -9999 valid_range: 0, 4 cell_methods: time: mean flag_values: 0, 2, 4 flag_meanings: IR IR_AIRS_blend AIRS origname: satellite_source fullnamepath: /satellite_source
bnds
: Array of 32 bit Reals [bnds = 0..1]
bnds:
lat
: Array of 32 bit Reals [lat = 0..359]
lat:
long_name: Latitude units: degrees_north description: Center latitude origname: lat fullnamepath: /lat
lon
: Array of 32 bit Reals [lon = 0..719]
lon:
long_name: Longitude units: degrees_east description: Center longitude origname: lon fullnamepath: /lon
time
: Array of 64 bit Reals [time = 0..0]
time:
long_name: Time units: minutes since 1979-01-01 00:00:00 description: Observation Time time_increment: one month begin_date: 20160901 begin_time: 000000 end_date: 20160930 end_time: 235959 bounds: time_bnds calendar: standard origname: time fullnamepath: /time
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