Steric Sea Level Rise and Relationships with Model Drift and Water Mass Representation in GFDL CM4 and ESM4
[1];
- a NOAA/OAR/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
- a NOAA/OAR/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, b Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey
- c Cooperative Institute for Modeling the Earth System, Princeton University, Princeton, New Jersey
- c Cooperative Institute for Modeling the Earth System, Princeton University, Princeton, New Jersey, d School of Earth and Environmental Science, University of St Andrews, St Andrews, United Kingdom
- e Department of Earth and Environmental Science, Temple University, Philadelphia, Pennsylvania
- f Verisk/Atmospheric and Environmental Research, Lexington, Massachusetts
Abstract Density-driven steric seawater changes are a leading-order contributor to global mean sea level rise. However, intermodel differences in the magnitude and spatial patterns of steric sea level rise exist at regional scales and often emerge during the spinup and preindustrial control integrations of climate models. Steric sea level results from an eddy-permitting climate model, GFDL CM4, are compared with a lower-resolution counterpart, GFDL-ESM4. The results from both models are examined through basin-scale heat budgets and watermass analysis, and we compare the patterns of ocean heat uptake, redistribution, and sea level differ in ocean-only [i.e., Ocean Model Intercomparison Project (OMIP)] and coupled climate configurations. After correcting for model drift, both GFDL CM4 and GFDL-ESM4 simulate nearly equivalent ocean heat content change and global sea level rise during the historical period. However, the GFDL CM4 model exhibits as much as a 40% increase in surface ocean heat uptake in the Southern Ocean and subsequent increases in horizontal export to other ocean basins after bias correction. The results suggest regional differences in the processes governing Southern Ocean heat export, such as the formation of Antarctic Intermediate Water (AAIW), Subpolar Mode Water (SPMW), and gyre transport between the two models, and that sea level changes in these models cannot be fully bias-corrected. Since the process-level differences between the two models are evident in the preindustrial control simulations of both models, these results suggest that the control simulations are important for identifying and correcting sea level–related model biases.
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Grant/Contract Number:
- NONE; AC52-07NA27344
- OSTI ID:
- 2478319
- Journal Information:
- Journal of Climate, Journal Name: Journal of Climate Journal Issue: 24 Vol. 37; ISSN 0894-8755
- Publisher:
- American Meteorological SocietyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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