During the winters of 1965/66 through 1976/77, NOAA/Great Lakes Environmental Research Laboratory (GLERL) collected weekly ice thickness and stratigraphy data at up to 90 stations per year on the Great Lakes. Data include station name, latitude, longitude and period of record as well as thickness of up to six ice layers, total ice thickness, snow depth (on top of ice), snow condition, ice condition, and ice type code. The data are useful for site-specific shoreline engineering studies, winter navigation projects and remote sensing ground truth. Constraints on the data include the relatively short period of record (eleven seasons maximum for any one station). Additionally, the time series may not reflect the full winter severity range. Nearshore data may not be valid for nearby locations or representative of offshore conditions, and ice type codes (the visual observation code) changed in 1974/75. Both old and new code lists are available.
DOWNLOADING DATA VIA FTP
Data can be downloaded through a Web browser or command line via FTP. When using a Web browser, the FTP link first directs you to an Optional Registration Form that if filled out, will allow you to receive notifications about updates or processing changes related to that specific data set. After completing the Optional Registration Form, the FTP directory becomes available. For additional help downloading data through an FTP client, go to the How to access data using an FTP client support page.
GLERL Great Lakes Ice Thickness Data Base, 1966-1979, Version 1
|Spatial Resolution:||Not Specified|
|Temporal Resolution:||Not specified|
|Sensor(s):||ICE AUGERS, VISUAL OBSERVATIONS|
|Data Contributor(s):||Frederick Sleator|
|Metadata XML:||View Metadata Record|
As a condition of using these data, you must cite the use of this data set using the following citation. For more information, see our Use and Copyright Web page.Sleator, F. E. 1995. GLERL Great Lakes Ice Thickness Data Base, 1966-1979, Version 1. [Indicate subset used]. Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center. doi: http://dx.doi.org/10.7265/N5KW5CXG. [Date Accessed].