Quantifying uncertainty in Gulf of Mexico forecasts stemming from uncertain initial conditions

Mohamed Iskandarani, Matthieu Le Hénaff, William Carlisle Thacker, Ashwanth Srinivasan, Omar M. Knio

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Polynomial Chaos (PC) methods are used to quantify the impacts of initial conditions uncertainties on oceanic forecasts of the Gulf of Mexico circulation. Empirical Orthogonal Functions are used as initial conditions perturbations with their modal amplitudes considered as uniformly distributed uncertain random variables. These perturbations impact primarily the Loop Current system and several frontal eddies located in its vicinity. A small ensemble is used to sample the space of the modal amplitudes and to construct a surrogate for the evolution of the model predictions via a nonintrusive Galerkin projection. The analysis of the surrogate yields verification measures for the surrogate's reliability and statistical information for the model output. A variance analysis indicates that the sea surface height predictability in the vicinity of the Loop Current is limited to about 20 days.

Original languageEnglish (US)
Pages (from-to)4819-4832
Number of pages14
JournalJournal of Geophysical Research C: Oceans
Volume121
Issue number7
DOIs
StatePublished - Jul 1 2016

Fingerprint

Gulf of Mexico
forecasting
uncertainty
perturbation
Orthogonal functions
orthogonal functions
sea surface height
random variables
chaotic dynamics
Random variables
variance analysis
Chaos theory
chaos
eddy
polynomials
analysis of variance
projection
Polynomials
vortices
prediction

Keywords

  • Gulf of Mexico Circulation
  • polynomial chaos
  • uncertainty quantification

ASJC Scopus subject areas

  • Geophysics
  • Forestry
  • Oceanography
  • Aquatic Science
  • Ecology
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Palaeontology

Cite this

Quantifying uncertainty in Gulf of Mexico forecasts stemming from uncertain initial conditions. / Iskandarani, Mohamed; Le Hénaff, Matthieu; Thacker, William Carlisle; Srinivasan, Ashwanth; Knio, Omar M.

In: Journal of Geophysical Research C: Oceans, Vol. 121, No. 7, 01.07.2016, p. 4819-4832.

Research output: Contribution to journalArticle

Iskandarani, Mohamed ; Le Hénaff, Matthieu ; Thacker, William Carlisle ; Srinivasan, Ashwanth ; Knio, Omar M. / Quantifying uncertainty in Gulf of Mexico forecasts stemming from uncertain initial conditions. In: Journal of Geophysical Research C: Oceans. 2016 ; Vol. 121, No. 7. pp. 4819-4832.
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