Evaluation of upper ocean mixing parameterizations for use in coupled models

S. Daniel Jacob, D. M. Le Vine, Lynn K Shay, G. R. Halliwell, C. Lozano, A. Mehra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Simulations of upper ocean response to hurricanes Gilbert, Isidore and Lili are performed for the different upper ocean mixing schemes as more than 80% of the observed upper ocean cooling is due to entrainment mixing parameterized by the models. While comparisons of the simulated results to observations in the Gilbert case indicate a better fit for higher order KPP and MY schemes, MY and to a lesser extent GISS schemes are seen to be more consistent for all the three storms. In general, all the higher order schemes seem to perform better than the KT and PWP schemes. Due to the inaccurate initial conditions, the statistics are only preliminary in the Isidore and Lili cases. Additionally, while the computational speeds for all the schemes are comparable, the GISS scheme is the fastest in our experiments. Based on the comparison statistics the MY scheme would be the more appropriate scheme for use in the ocean component of the coupled system followed by the GISS scheme. Ocean model initial conditions need to be validated on a regular basis for a better representation of the ocean in the coupled intensity prediction models as the oceanic thermal structure also significantly affects the observed cooling. These conclusions are constrained by the inaccurate initial conditions during Isidore and Lili. Even with satisfactory initial conditions for Isidore and Lili we have only considered three storms and the sample size is still small. Evaluation of these schemes also requires ocean only simulations due to the other uncertainties that are introduced because of inaccurate forcing from the atmospheric component. Past observations may be used with realistic forcing and initial conditions to further improve the statistical base of comparisons along with routine future observations to evaluate the ocean component on a post-hurricane season basis.

Original languageEnglish (US)
Title of host publication27th Conference on Hurricanes and Tropical Meteorology
StatePublished - 2006
Event27th Conference on Hurricanes and Tropical Meteorology - Monterey, CA, United States
Duration: Apr 24 2006Apr 26 2006

Other

Other27th Conference on Hurricanes and Tropical Meteorology
CountryUnited States
CityMonterey, CA
Period4/24/064/26/06

Fingerprint

upper ocean
Parameterization
parameterization
Hurricanes
ocean
Statistics
Cooling
hurricane
cooling
thermal structure
entrainment
simulation
evaluation
Experiments
prediction
comparison
experiment
statistics

ASJC Scopus subject areas

  • Environmental Engineering
  • Global and Planetary Change

Cite this

Jacob, S. D., Le Vine, D. M., Shay, L. K., Halliwell, G. R., Lozano, C., & Mehra, A. (2006). Evaluation of upper ocean mixing parameterizations for use in coupled models. In 27th Conference on Hurricanes and Tropical Meteorology

Evaluation of upper ocean mixing parameterizations for use in coupled models. / Jacob, S. Daniel; Le Vine, D. M.; Shay, Lynn K; Halliwell, G. R.; Lozano, C.; Mehra, A.

27th Conference on Hurricanes and Tropical Meteorology. 2006.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jacob, SD, Le Vine, DM, Shay, LK, Halliwell, GR, Lozano, C & Mehra, A 2006, Evaluation of upper ocean mixing parameterizations for use in coupled models. in 27th Conference on Hurricanes and Tropical Meteorology. 27th Conference on Hurricanes and Tropical Meteorology, Monterey, CA, United States, 4/24/06.
Jacob SD, Le Vine DM, Shay LK, Halliwell GR, Lozano C, Mehra A. Evaluation of upper ocean mixing parameterizations for use in coupled models. In 27th Conference on Hurricanes and Tropical Meteorology. 2006
Jacob, S. Daniel ; Le Vine, D. M. ; Shay, Lynn K ; Halliwell, G. R. ; Lozano, C. ; Mehra, A. / Evaluation of upper ocean mixing parameterizations for use in coupled models. 27th Conference on Hurricanes and Tropical Meteorology. 2006.
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