Skip to main content
Dataset Overview | National Centers for Environmental Information (NCEI)

Historical simulations of surface and subsurface thermal structure and ice conditions in the Laurentian Great Lakes from 1980-01-01 to 2021-12-31 (NCEI Accession 0276818)

browse graphicPreview graphic
This dataset includes daily time series (January 1, 1980 - December 31, 2021) of simulated lake- and bay-averaged lake surface temperature (LST; ºC), lake bottom temperature (LBT; ºC), ice cover concentration (ICC, %), ice thickness (ICT; m); ice volume (ICV; m3); and Schmidt stability index (SSI; J∙m2). Schmidt stability indices are included for full lakes (Superior, Huron, Michigan, Erie, Ontario), but not for other subregions. Model output covers all five Laurentian Great Lakes (Lakes Superior, Huron, Michigan, Erie, and Ontario) as well as several ecologically important bays in Lake Michigan and Lake Huron (Georgian Bay, Green Bay, Grand Traverse Bay, Little Traverse Bay, North Channel, Saginaw Bay, and the Straits of Mackinaw). Data were generated using the Great Lake Finite Volume Community Ocean Model (GL-FVCOM), developed as part of the Great Lakes Earth System Model project at NOAA GLERL.
  • Cite as: Cannon, David; Kessler, James; Fujisaki-Manome, Ayumi; Wang, Jia (2023). Historical simulations of surface and subsurface thermal structure and ice conditions in the Laurentian Great Lakes from 1980-01-01 to 2021-12-31 (NCEI Accession 0276818). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0276818. Accessed [date].
gov.noaa.nodc:0276818
Full Text · XML
Download Data
  • HTTPS (download)
    Navigate directly to the URL for data access and direct download.
  • FTP (download)
    These data are available through the File Transfer Protocol (FTP). FTP is no longer supported by most internet browsers. You may copy and paste the FTP link to the data into an FTP client (e.g., FileZilla or WinSCP).
Distribution Formats
  • Text File
  • PDF
Ordering Instructions Contact NCEI for other distribution options and instructions.
Distributor NOAA National Centers for Environmental Information
+1-301-713-3277
NCEI.Info@noaa.gov
Dataset Point of Contact NOAA National Centers for Environmental Information
ncei.info@noaa.gov
Time Period 1980-01-01 to 2021-12-31
Spatial Bounding Box Coordinates
West: -93
East: -75
South: 41
North: 49
Spatial Coverage Map
General Documentation
Publication Dates
  • publication: 2023-02-24
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Historical archive - data has been stored in an offline storage facility
Data Update Frequency As needed
Supplemental Information
Submission Package ID: LCMP37
Purpose Simulations were generated as part of a study investigating historical changes in subsurface thermal structure in the Laurentian Great Lakes.
Use Limitations
  • accessLevel: Public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Dataset Citation
  • Cite as: Cannon, David; Kessler, James; Fujisaki-Manome, Ayumi; Wang, Jia (2023). Historical simulations of surface and subsurface thermal structure and ice conditions in the Laurentian Great Lakes from 1980-01-01 to 2021-12-31 (NCEI Accession 0276818). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0276818. Accessed [date].
Cited Authors
Principal Investigators
Collaborators
Resource Providers
Points of Contact
Publishers
Acknowledgments
  • Related Funding Agency: US DOC; National Oceanic and Atmospheric Administration
Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • oceanography
Global Change Master Directory (GCMD) Science Keywords Provider Keywords
  • Day
  • Ice Cover Concentration (ICC)
  • Ice Thickness (ICT)
  • Ice Volume (ICV)
  • Lake Bottom Temperature (LBT)
  • Lake Surface Temperature (LST)
  • Month
  • Schmidt stability index (SSI)
  • Year
Data Center keywords NODC SUBMITTING INSTITUTION NAMES THESAURUS
Instrument keywords Provider Instruments
  • GL-FVCOM
Place keywords NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords
Project keywords Provider Project Names
  • NA17OAR4320152
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: Cannon, David; Kessler, James; Fujisaki-Manome, Ayumi; Wang, Jia (2023). Historical simulations of surface and subsurface thermal structure and ice conditions in the Laurentian Great Lakes from 1980-01-01 to 2021-12-31 (NCEI Accession 0276818). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0276818. Accessed [date].
Access Constraints
  • Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees
  • In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
Lineage information for: dataset
Processing Steps
  • 2023-02-24T14:59:33Z - NCEI Accession 0276818 v1.1 was published.
Output Datasets
Lineage information for: dataset
Processing Steps
  • Parameter or Variable: Lake Surface Temperature (LST) (calculated); Units: degrees C; Observation Category: model output; Sampling Instrument: GL-FVCOM; Sampling and Analyzing Method: area-averaged lake surface temperature computed over all grid cells in lake/bay (horizontal grid resolution: 4.75km). Model output (3 hourly) were daily averaged..
  • Parameter or Variable: Lake Bottom Temperature (LBT) (calculated); Units: degrees C; Observation Category: model output; Sampling Instrument: GL-FVCOM; Sampling and Analyzing Method: area-averaged lake bottom temperature computed over all grid cells in lake/bay (horizontal grid resolution: 4.75km). Bottom temperature was extracted from bottom sigma-layer in each grid cell. Model output (3 hourly) were daily averaged..
  • Parameter or Variable: Ice Cover Concentration (ICC) (calculated); Units: %; Observation Category: model output; Sampling Instrument: GL-FVCOM; Sampling and Analyzing Method: area-averaged ice cover concentration computed over all grid cells in lake/bay (horizontal grid resolution: 4.75km). Model output (3 hourly) were daily averaged..
  • Parameter or Variable: Ice Thickness (ICT) (calculated); Units: m; Observation Category: model output; Sampling Instrument: GL-FVCOM; Sampling and Analyzing Method: area-averaged ice thickness computed over all ice-covered grid cells in lake/bay (horizontal grid resolution: 4.75km). Average thickness is computed for the total ice-covered area, not the total surface area. Model output (3 hourly) were daily averaged..
  • Parameter or Variable: Ice Volume (ICV) (calculated); Units: m3; Observation Category: model output; Sampling Instrument: GL-FVCOM; Sampling and Analyzing Method: Total ice volume computed over all grid cells in lake/bay (horizontal grid resolution: 4.75km). Model output (3 hourly) were daily averaged..
  • Parameter or Variable: Schmidt stability index (SSI) (calculated); Units: Jm2; Observation Category: model output; Sampling Instrument: GL-FVCOM; Sampling and Analyzing Method: Schmidt stability index was calculated from subsurface temperatures (interpolated to a constant 5m vertical resolution) following Idso (1973). SSI estimates were computed lakewide using depth variable surface areas. The SSI provides an estimate of the strength of stratification, where higher SSI magnitudes indicate stronger vertical density gradients. Model output (3 hourly) were daily averaged..
  • Parameter or Variable: Year (calculated); Units: common year; Observation Category: model output; Sampling Instrument: GL-FVCOM; Sampling and Analyzing Method: Year of model output.
  • Parameter or Variable: Month (calculated); Units: month; Observation Category: model output; Sampling Instrument: GL-FVCOM; Sampling and Analyzing Method: month of model output.
  • Parameter or Variable: Day (calculated); Units: day; Observation Category: model output; Sampling Instrument: GL-FVCOM; Sampling and Analyzing Method: day of model output.
Last Modified: 2024-05-05T15:52:33Z
For questions about the information on this page, please email: ncei.info@noaa.gov