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
                  SSC 2035
              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: 
      2019-04-22T20:25:33+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: 
                  2019-04-22
              Date type: 
                Date type code: 
                  publication
          Identifier: 
            Identifier: 
              Code: 
                Anchor: xlink: https://dx.doi.org/10.7266/N72F7KHX title: DOI
                  doi:10.7266/N72F7KHX
      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).
      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
      Resource constraints:  title: Cite As
        Constraints: 
          Use limitation: 
              Patrick Fitzpatrick and Yee Lau. 2019. Meteorological Analysis (CMA) Data along the Northern Gulf Coast 
              between April 2015 and December 2016. Distributed by: Gulf of Mexico Research Initiative Information and 
              Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. 
              doi:10.7266/N72F7KHX
      Resource constraints:  title: CC0 License
        Legal constraints: 
          Use constraints: 
            Restriction code: 
              licenceUnrestricted
          Other constraints: 
              This information is released under the Creative Commons license - No Rights Reserved - CC0 1.0 Universal 
              (https://creativecommons.org/publicdomain/zero/1.0/). The person who associated a work with this deed 
              has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide 
              under copyright law, including all related and neighboring rights, to the extent allowed by law. You can 
              copy, modify, distribute and perform the work, even for commercial purposes, all without asking 
              permission.
      Resource constraints:  title: Liability and Warranty
        Legal constraints: 
          Other constraints: 
              All materials on this website are made available to GRIIDC and in turn to you "as-is." Content may only be 
              submitted by an individual who represents and warrants that s/he has sufficient rights to be able to 
              make the content available under a CC0 waiver. There is no warranty (expressed or implied) to these 
              materials, their title, accuracy, non-infringement of third party rights, or fitness for any particular 
              purpose, including the performance or results you may obtain from their use. Use these materials at your 
              own risk. Under no circumstances shall GRIIDC be liable for any direct, incidental, special, 
              consequential, indirect, or punitive damages that result from the use or the inability to use either 
              this website or the materials available via this website. If you are dissatisfied with any website 
              feature, content, or terms of use, your sole and exclusive remedy is to discontinue use.
      Aggregation Info: 
        AggregateInformation: 
          Aggregate Data Set Name:  title: Related Publication Citation
            Citation: 
              Title: 
                  Greer, A. T., Boyette, A. D., Cruz, V. J., Cambazoglu, M. K., Dzwonkowski, B., Chiaverano, L. M., … 
                  Wiggert, J. D. (2020). Contrasting fine‐scale distributional patterns of zooplankton driven by the 
                  formation of a diatom‐dominated thin layer. Limnology and Oceanography. doi:10.1002/lno.11450
              Date: 
                inapplicable
          Aggregate Data Set Identifier:  title: Related Publication DOI
            Identifier: 
              Code: 
                Anchor: xlink: https://dx.doi.org/10.1002/lno.11450 title: DOI
                  doi:10.1002/lno.11450
          Association Type: 
            Association type code: 
              crossReference
      Aggregation Info: 
        AggregateInformation: 
          Aggregate Data Set Name:  title: Related Publication Citation
            Citation: 
              Title: 
                  Parra, S. M., Sanial, V., Boyette, A. D., Cambazoglu, M. K., Soto, I. M., Greer, A. T., … Dinniman, M. 
                  S. (2020). Bonnet Carré Spillway freshwater transport and corresponding biochemical properties in 
                  the Mississippi Bight. Continental Shelf Research, 199, 104114. doi:10.1016/j.csr.2020.104114
              Date: 
                inapplicable
          Aggregate Data Set Identifier:  title: Related Publication DOI
            Identifier: 
              Code: 
                Anchor: xlink: https://dx.doi.org/10.1016/j.csr.2020.104114 title: DOI
                  doi:10.1016/j.csr.2020.104114
          Association Type: 
            Association type code: 
              crossReference
      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).|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. 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 10-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 December 2016.||||This dataset was initially accepted on 2019-02-11 and was updated 
          on 2019-02-28. The values in the variables "surfaceVMomentumStress" and "surfaceUMomentumStress" were 
          modified to correct an error in which the output was always absolute values.
          
          Benjamin, S.G., Weygandt, S.S., Brown, J.M., Hu, M., Alexander, C.R., Smirnova, T.G., Olson, J.B., James, 
          E.P., Dowell, D.C., Grell, G.A., Lin, H., Peckham, S.E., Smith, T.L., Moninger, W.R., & Kenyon, J.S. (2016). 
          A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh. Mon. Wea. Rev., 144, 
          1669-1694 doi: 10.1175/MWR-D-15-0242.1
          
          De Pondeca, M.S., Manikin, G.S., DiMego, G., Benjamin, S.G., Parrish, D.F., Purser, R.J., Wu, W., Horel, J.D., 
          Myrick, D.T., Lin, Y., Aune, R.M., Keyser, D., Colman, B., Mann, G., & Vavra, J. (2011). The Real-Time 
          Mesoscale Analysis at NOAA's National Centers for Environmental Prediction: Current Status and Development. 
          Wea. Forecasting, 26, 593-612 doi: 10.1175/WAF-D-10-05037.1
          
          Purser, R.J., Wu, W., Parrish, D.F., & Roberts, N.M. (2003). Numerical Aspects of the Application of Recursive 
          Filters to Variational Statistical Analysis, Part I: Spatially Homogeneous and Isotropic Gaussian 
          Covariances. Mon. Wea. Rev., 131, 1524-1535 doi: 10.1175//1520-0493(2003)131<1524:NAOTAO>2.0.CO;2
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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: 
                          3618253604
                  Address: 
                    Address: 
                      Delivery point: 
                          6300 Ocean Drive
                      City: 
                          Corpus Christi
                      Administrative area: 
                          TX
                      Postal code: 
                          78412
                      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.gz
          Distributor transfer options: 
            Digital transfer options: 
              Transfer size: 
                  25150.0146
              Online: 
                Online Resource: 
                  Linkage: 
                    URL: 
                      https://data.gulfresearchinitiative.org/data/R4.x260.000:0048
                  Protocol: 
                      https
                  Name: 
                      Data Landing Page
                  Description: 
                      GRIIDC dataset landing page
                  Function: 
                    Online function code: 
                      information
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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 2021-04-18T15:46:42-05:00
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