Diagnosing Errors in Climate Forecast Models Using Forced Autoregressive Models
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DOI: 10.1029/2024ms004926
Abstract: Climate models initialized near the observed state typically drift toward their own climatology as the forecast evolves. This drift is commonly corrected through a lead‐time and start‐month dependent bias adjustment, derived from a hindcast data… read more here.
Keywords: climate forecast; diagnosing errors; forecast; autoregressive models ... See more keywords