Construct · 1 fields · 1 citations

signal-to-noise paradox: a standalone construct

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Climate prediction

the finding that some climate models predict real-world variability better than they predict their own ensemble members, implying the modeled predictable signal is too weak.

In climate prediction, signal-to-noise paradox refers to the finding that some climate models predict real-world variability better than they predict their own ensemble members, implying the modeled predictable signal is too weak. This meaning comes from Scaife (2018) in npj Climate and Atmospheric Science.[1]

Unit
Recovery means
Measured by

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Nearby constructs

climate3 fields · 3 citationsjingle · one word, three constructs ensemble3 fields · 6 citationsjingle · one word, three constructs paradox3 fields · 4 citationsjingle · one word, three constructs

References

Scaife, A. A., & Smith, D. (2018). A signal-to-noise paradox in climate science. npj Climate and Atmospheric Science, 1(1). https://doi.org/10.1038/s41612-018-0038-4

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