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

Consortium for Oil Spill Exposure Pathways in Coastal River-Dominated Ecosystems (CONCORDE)

DOI:
10.7266/N72F7KHX
 
UDI:
R4.x260.000:0048
Last Update:
May 03 2017 18:11 UTC
 
Dataset Author(s):
Patrick Fitzpatrick and Yee Lau
Point of Contact:
Fitzpatrick, Patrick
Mississippi State University / Geosystems Research Institute
1021 Balch Blvd
Stennis Space Center, Mississippi  39529
USA
fitz@gri.msstate.edu
Funding Source:
RFP-IV
Data Collection Period:
2015-04-01 to 2016-12-31

Identified Submitted Metadata Available
3 3 3 3

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.

Theme Keywords:

Atmospheric Forcing, Meteorological Analysis

File Format:

netcdf

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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