ODIN: Observational Data Interactive Navigation, an interactive map of all CO-OPS active stations

The CO-OPS Station Map has many features designed to provide a quick and easy way to find a CO-OPS station, and to view real-time observations as well as plot the last 48 hours of data

Data and Resources

Additional Info

Field Value
Last Updated December 20, 2019, 02:21
Created December 20, 2019, 02:21
access_constraints ["Access Constraints: None | Use Constraints: None | Distribution Liability: Preliminary data have not been subjected to the National Ocean Service's quality control or quality assurance procedures and do not meet the criteria and standards of official National Ocean Service data. They are released for limited public use as preliminary data to be used only with appropriate caution. Predicted Tidal DataThe accuracy of the tide predictions is different for each location. Periodically we do a comparison of the predicted tides vs the observed tides for a calendar year. The information generated is compiled in a Tide Prediction Accuracy Table. We work to insure that the predictions are as accurate as possible. However, we can only predict the astronomical tides, we cannot predict the effect that wind, rain, freshwater runoff, and other short-term meteorological events will have on the tides. In general, predictions for stations along the outer coast are more accurate than those for stations farther inland; along a river, or in a bay or other estuary. Inland stations tend to have a stronger non-tidal influence; that is, they are more susceptible to the effects of wind and other meteorological effects than stations along the outer coast. An example of an inland station which is difficult to predict is Baltimore, Maryland. This station is located at the northern end of Chesapeake Bay. Winds which blow along the length of the bay have been known to cause water levels to be 1-2 feet above or below the predicted tides. Stations in relatively shallow water, or with a small tidal range, are also highly susceptible to meteorological effects and thus difficult to accurately predict. At these stations, short-term weather events can completely mask the astronomical tides. Many of the stations along the western Gulf of Mexico fall into this category. An example is Galveston, Texas. This station is in a bay which is relatively shallow and has a small opening to the sea. At this station it is possible for meteorological events to delay or accelerate the arrival of the predicted tides by an hour or more."]
bbox-east-long 180
bbox-north-lat 70.4
bbox-south-lat -54.8
bbox-west-long -180
contact-email tide.predictions@noaa.gov
coupled-resource []
dataset-reference-date [{"type": "publication", "value": "2012-01-01"}]
frequency-of-update asNeeded
guid gov.noaa.nmfs.inport:37627
licence ["NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose."]
metadata-date 2019-10-22T00:00:00
metadata-language eng
progress underDevelopment
resource-type dataset
responsible-party [{"name": "", "roles": ["pointOfContact", "custodian"]}]
spatial {"type": "Polygon", "coordinates": [[[-180.0, -54.8], [180.0, -54.8], [180.0, 70.4], [-180.0, 70.4], [-180.0, -54.8]]]}
spatial-data-service-type
spatial-reference-system
spatial_harvester true
temporal-extent-begin 1800