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Meteorological Analysis (CMA) Data along the Northern Gulf Coast between April 2015 and December 2016Consortium for Oil Spill Exposure Pathways in Coastal River-Dominated Ecosystems (CONCORDE)
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Suggested Citation:
Patrick Fitzpatrick and Yee Lau (2017) 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
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 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 Dec. 2016.
Theme Keywords:
Atmospheric Forcing, Meteorological Analysis
File Format:
netcdf
Filename:
CMA_201504-201612.tar.bz2 (47 GB)
Dataset Downloads:
1
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
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:
2018-08-11T13:44:07+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 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 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:
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 and gzip
Distributor transfer options:
Digital transfer options:
Transfer size:
47226.9442
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 2019-01-21T03:38:46+00:00
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