Accounting for Satellite Sampling Bias in the Validation of CESM2 Sea Surface Temperature and Chlorophyll

Abstract Satellite observations of sea surface temperature (SST) and ocean chlorophyll are critical for validating Earth system models (ESMs). However, missing satellite data due to cloud cover, sea ice, and low solar angle can introduce sampling bias that distorts model–observation comparisons. Her...

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Detalhes bibliográficos

Principais autores:	Genevieve L. Clow, Nicole S. Lovenduski, Michael N. Levy, Keith Lindsay, Jennifer E. Kay, Isaac Davis, Brian Medeiros
Formato:	Artigo
Idioma:	Inglês
Publicado em:	American Geophysical Union (AGU) 2025-12-01
coleção:	Journal of Advances in Modeling Earth Systems
Assuntos:	Earth system model model validation simulated observations
Acesso em linha:	https://doi.org/10.1029/2024MS004908
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