data

A gridded hourly database at 0.01 degree spacing for the northern Gulf of Mexico, the CONCORDE Meteorological Analysis (CMA), was developed from April 2015 to December 2016. It combines 4 data sources to create 13 meteorological parameters in NetCDF format. Data sources include: the Real-Time Mesoscale Analysis (RTMA), the North American Mesoscale Forecast System (NAM), the Next Generation Weather Radar (NEXRAD), and the Advanced Very High Resolution Radiometer (AVHRR). These data sources provide 2-meter temperature, relative humidity, surface pressure, 10-meter u and v wind components, sea surface temperature, cloud fraction, downward shortwave radiation flux, downward longwave radiation flux and one hour precipitation total. Additional parameters including the surface u and v momentum stresses, and sensible heat flux, were calculated using the Florida State University’s Coupled Ocean-Atmosphere Response Experiment (COARE) algorithm.

The necessity of high-resolution atmospheric forcing for the ocean model development motivated the creation of a long-term dataset known as the CONCORDE Meteorological Analysis (CMA). CMA consists of hourly reanalysis of 2-m temperature, relative humidity, surface pressure, 10-m u and v wind components, sea surface temperature, cloud fraction, downward shortwave radiation flux, downward longwave radiation flux, 1-h precipitation total, surface u and v momentum stresses, and sensible heat flux at 0.01° grid spacing. The surface momentum and thermodynamic fields are processed from the Real-Time Mesoscale Analysis (RTMA). RTMA (De Pondeca et al. 2011) is a 2.5-km 2DVAR product which uses the High Resolution Rapid Refresh (HRRR) model forecast (Benjamin et al. 2016) for the background field, adjusted with surface observations with a non-isotropic recursive filter (Purser et al. 2003). The RTMA data assimilation procedure matches observed surface data, captures mesoscale and diurnal patterns, and provides a coherent field that best matches the geographically-related features. Fitzpatrick and Lau (2017) performed a validation study of CMA versus buoys and inland observations for spring, summer, and fall 2015, and noted speed errors of 0.5-1.5 ms-1, wind direction errors of 14-21 deg, and temperature errors of 0.5-1.0°C. CMA’s radiation parameters and total cloud cover percentage are from North American Mesoscale Forecast System (NAM) forecast fields. The Next Generation Weather Radar Level-III provides the hourly precipitation totals on a 0.24-km by 1° grid based on a dual polarization Quantitative Precipitation Estimate (QPE) algorithm. Radar data from top of each hour are used from Slidell, LA or Mobile, AL are used based on closer proximity to the analysis grid point, then interpolated by nearest neighbor. The Advanced Very High Resolution Radiometer provides daily sea surface temperature in 1.09 km resolution. Quality control is applied and a 5-day running mean was used. The Florida State University’s Coupled Ocean-Atmosphere Response Experiment flux algorithm calculates the sensible heat flux and surface momentum stresses. All data is either bilinearly interpolated or uses near-neighbor. The CMA dataset begins in April 2015, and covers through Dec. 2016.

Atmospheric Forcing, Meteorological Analysis

netcdf

Formatted Raw

Meteorological Analysis (CMA) Data along the Northern Gulf Coast between April 2015 and December 2016

Identification Information
Distribution Information
Metadata Maintenance Information

---

Metadata: 
  File identifier: 
      R4.x260.000-0048-metadata.xml
  Language: 
      eng; USA
  Character set: 
    Character set code: 
      utf8
  Hierarchy level: 
    Scope code: 
      dataset
  Metadata author: 
    Responsible party: 
      Individual name: 
          Yee H. Lau
      Organisation name: 
          Mississippi State University / Geosystems Research Institute
      Position name: 
          Research Associate
      Contact info: 
        Contact: 
          Phone: 
            Telephone: 
              Voice: 
                  2286883477
              Facsimile: 
          Address: 
            Address: 
              Delivery point: 
                  1021 Balch Blvd
              City: 
                  Stennis Space Center
              Administrative area: 
                  Mississippi
              Postal code: 
                  39529
              Country: 
                  USA
              Electronic mail address: 
                  lau@gri.msstate.edu
      Role: 
        Role code: 
          pointOfContact
  Date stamp: 
      2017-05-10T14:34:09+00:00
  Metadata standard name: 
      ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
  Metadata standard version: 
      ISO 19115-2:2009(E)
  Dataset URI: 
      https://data.gulfresearchinitiative.org/metadata/R4.x260.000:0048
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  Identification info: 
    Data identification: 
      Citation: 
        Citation: 
          Title: 
              Meteorological Analysis (CMA) Data along the Northern Gulf Coast between April 2015 and December 2016
          Alternate title: 
          Date: 
            Date: 
              Date: 
                  2017-02-01
              Date type: 
                Date type code: 
                  creation
      Abstract: 
          A gridded hourly database at 0.01 degree spacing for the northern Gulf of Mexico, the CONCORDE Meteorological 
          Analysis (CMA), was developed from April 2015 to December 2016. It combines 4 data sources to create 13 
          meteorological parameters in NetCDF format. Data sources include: the Real-Time Mesoscale Analysis (RTMA), 
          the North American Mesoscale Forecast System (NAM), the Next Generation Weather Radar (NEXRAD), and the 
          Advanced Very High Resolution Radiometer (AVHRR). These data sources provide 2-meter temperature, relative 
          humidity, surface pressure, 10-meter u and v wind components, sea surface temperature, cloud fraction, 
          downward shortwave radiation flux, downward longwave radiation flux and one hour precipitation total. 
          Additional parameters including the surface u and v momentum stresses, and sensible heat flux, were 
          calculated using the Florida State University’s Coupled Ocean-Atmosphere Response Experiment (COARE) 
          algorithm.
      Purpose: 
          The necessity of high-resolution atmospheric forcing for the ocean model development motivated the creation of 
          a long-term dataset known as the CONCORDE Meteorological Analysis (CMA). CMA consists of hourly reanalysis 
          of 2-m temperature, relative humidity, surface pressure, 10-m u and v wind components, sea surface 
          temperature, cloud fraction, downward shortwave radiation flux, downward longwave radiation flux, 1-h 
          precipitation total, surface u and v momentum stresses, and sensible heat flux at 0.01° grid spacing. The 
          surface momentum and thermodynamic fields are processed from the Real-Time Mesoscale Analysis (RTMA). RTMA 
          (De Pondeca et al. 2011) is a 2.5-km 2DVAR product which uses the High Resolution Rapid Refresh (HRRR) model 
          forecast (Benjamin et al. 2016) for the background field, adjusted with surface observations with a 
          non-isotropic recursive filter (Purser et al. 2003). The RTMA data assimilation procedure matches observed 
          surface data, captures mesoscale and diurnal patterns, and provides a coherent field that best matches the 
          geographically-related features. Fitzpatrick and Lau (2017) performed a validation study of CMA versus buoys 
          and inland observations for spring, summer, and fall 2015, and noted speed errors of 0.5-1.5 ms-1, wind 
          direction errors of 14-21 deg, and temperature errors of 0.5-1.0°C.
          CMA’s radiation parameters and total cloud cover percentage are from North American Mesoscale Forecast System 
          (NAM) forecast fields. The Next Generation Weather Radar Level-III provides the hourly precipitation totals 
          on a 0.24-km by 1° grid based on a dual polarization Quantitative Precipitation Estimate (QPE) algorithm. 
          Radar data from top of each hour are used from Slidell, LA or Mobile, AL are used based on closer proximity 
          to the analysis grid point, then interpolated by nearest neighbor. The Advanced Very High Resolution 
          Radiometer provides daily sea surface temperature in 1.09 km resolution. Quality control is applied and a 
          5-day running mean was used. The Florida State University’s Coupled Ocean-Atmosphere Response Experiment 
          flux algorithm calculates the sensible heat flux and surface momentum stresses. All data is either 
          bilinearly interpolated or uses near-neighbor. The CMA dataset begins in April 2015, and covers through Dec. 
          2016.
      Status: 
        Progress code: 
          completed
      Point of contact: 
        Responsible party: 
          Individual name: 
              Patrick Fitzpatrick
          Organisation name: 
              Mississippi State University / Geosystems Research Institute
          Position name: 
              Associate Research Professor
          Contact info: 
            Contact: 
              Phone: 
                Telephone: 
                  Voice: 
                      2286881157
                  Facsimile: 
              Address: 
                Address: 
                  Delivery point: 
                      1021 Balch Blvd
                  City: 
                      Stennis Space Center
                  Administrative area: 
                      Mississippi
                  Postal code: 
                      39529
                  Country: 
                      USA
                  Electronic mail address: 
                      fitz@gri.msstate.edu
          Role: 
            Role code: 
              principalInvestigator
      Descriptive keywords: 
        Keywords: 
          Keyword: 
              Atmospheric Forcing
          Keyword: 
              Meteorological Analysis
          Type: 
            Keyword type code: 
              theme
      Descriptive keywords: 
        Keywords: 
          Keyword: 
              Gulf of Mexico
          Type: 
            Keyword type code: 
              place
      Language: 
          eng; USA
      Topic category: 
        Topic category code: 
          climatologyMeteorologyAtmosphere
      Extent: 
        Extent: 
          Geographic element: 
            Geographic bounding box: 
              West bound longitude: 
                  -90.13
              East bound longitude: 
                  -87.05
              South bound latitude: 
                  29
              North bound latitude: 
                  30.94
          Geographic element: 
            BoundingPolygon: 
              Polygon: 
                Polygon: 
                  Outer boundary: 
                    Linear ring: 
                      gml:posList: 
                        29 -90.13 30.94 -90.13 30.94 -87.05 29 -87.05 29 -90.13
          Temporal element: 
            Temporal extent: 
              Extent: 
                Time period: 
                  Description: 
                    ground condition and modeled period
                  Begin date: 
                    2015-04-01
                  End date: 
                    2016-12-31
      Supplemental Information: 
          latitude (decimal degrees), longitude (decimal degrees), time (seconds since 1970-1-1 00:00:00), 2-meter 
          temperature (Celsius), relative humidity (rha, Percentage), surface pressure (mb), 10-meter u and v wind 
          components (m/s), sea surface temperature (sst, Celsius), cloud fraction (decimal), downward shortwave 
          radiation flux (DSWRF, Watts/m2), downward longwave radiation flux (DLWRF, Watts/m2), one hour precipitation 
          total (precip1Hr, mm/hr), surface u and v momentum stresses (N/m2), and sensible heat flux (Watts/m2)|||||
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  Distribution info: 
    Distribution: 
      Distributor: 
        Distributor: 
          Distributor contact: 
            Responsible party: 
              Organisation name: 
                  Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC)
              Contact info: 
                Contact: 
                  Phone: 
                    Telephone: 
                      Voice: 
                          +1-361-825-3604
                      Facsimile: 
                          +1-361-825-2050
                  Address: 
                    Address: 
                      Delivery point: 
                          6300 Ocean Drive
                          Unit 5869
                      City: 
                          Corpus Christi
                      Administrative area: 
                          Texas
                      Postal code: 
                          78412-5869
                      Country: 
                          USA
                      Electronic mail address: 
                          griidc@gomri.org
                  Online Resource: 
                    Online Resource: 
                      Linkage: 
                        URL: 
                          https://data.gulfresearchinitiative.org
              Role: 
                Role code: 
                  distributor
          Distributor format: 
            Format: 
              Name: 
                  netcdf
              Version: 
                inapplicable
              File decompression technique: 
                  tar and gzip
          Distributor transfer options: 
            Digital transfer options: 
              Transfer size: 
                  49473.7408
              Online: 
                Online Resource: 
                  Linkage: 
                    URL: 
                      https://data.gulfresearchinitiative.org/data/R4.x260.000:0048
                  Protocol: 
                      https
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  Metadata maintenance: 
    Maintenance information: 
      Maintenance and update frequency: 
        unknown
      Maintenance note: 
          This ISO metadata record was automatically generated from information provided to GRIIDC for dataset: 
          R4.x260.000:0048 on 2017-03-03T15:15:16+00:00
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