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Overcoming the Challenges of Ocean Data Uncertainty

Source
EOS

Publication Date
2022-01-12

Data characterizing the ocean are inherently estimates and are therefore uncertain. This is true of all in situ and remotely sensed observations—of, say, sea surface temperature or sea level—as well as of outputs and forecasts from numerical models and of analysis products resulting from the synthesis of observations and models.

Content
https://eos.org/opinions/overcoming-the-challenges-of-ocean-data-uncertainty