2020
DOI: 10.5194/gmd-2020-374
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A Mechanistic Analysis of Tropical Pacific Dynamic Sea Level in GFDL-OM4 under OMIP-I and OMIP-II Forcings

Abstract: Abstract. The sea level over the tropical Pacific is a key indicator reflecting vertically integrated heat distribution over the ocean. Here we use the Geophysical Fluid Dynamics Laboratory OM4 (GFDL-OM4) global ocean-sea ice model forced by both the CORE and JRA55-do atmospheric states (OMIP-I and OMIP-II) to evaluate the model performance and biases compared against available observations. We find persisting mean state dynamic sea level (DSL) bias along 9° N even with updated wind forcing in JRA55-do relativ… Show more

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Cited by 3 publications
(3 citation statements)
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“…However, we find minor biases in both reference configurations that are most likely due to the forcing. Hsu et al (2021) report a wind stress curl bias in JRA55-do in the Pacific between 4 and 9 • N that acts to diminish the meridional SSH gradient and flatten the SSH trough at this latitude. This is consistent with the warm bias we found at this latitudinal band.…”
Section: Discussionmentioning
confidence: 95%
“…However, we find minor biases in both reference configurations that are most likely due to the forcing. Hsu et al (2021) report a wind stress curl bias in JRA55-do in the Pacific between 4 and 9 • N that acts to diminish the meridional SSH gradient and flatten the SSH trough at this latitude. This is consistent with the warm bias we found at this latitudinal band.…”
Section: Discussionmentioning
confidence: 95%
“…However, we find minor biases in both reference configurations that are most likely due to the forcing. Hsu et al (2021) reported a wind stress curl bias in JRA55-do in the Pacific between 4-9 • N that acts to diminish the meridional SSH gradient and flatten the SSH trough at this latitude. This is consistent with the warm bias we found at this latitudinal band.…”
Section: Discussionmentioning
confidence: 99%
“…There is a related problem with coupled oceanatmosphere models which fail to generate realistic El Niños (Guilyardi et al, 2009;Ham and Kug, 2012;Flato et al, 2013;Hsu et al, 2021). This again may be due to the resolution of the atmospheric component being insufficient to accurately represent features such as the ITCZ.…”
Section: El Niño Models and Theoriesmentioning
confidence: 99%