TY - JOUR
T1 - Uncertainty propagation in coupled atmosphere-wave-ocean prediction system
T2 - A study of Hurricane Earl (2010)
AU - Li, Guotu
AU - Curcic, Milan
AU - Iskandarani, Mohamed
AU - Chen, Shuyi S.
AU - Knio, Omar M.
N1 - Publisher Copyright:
© 2018 American Meteorological Society.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - This study focuses on understanding the evolution of Hurricane Earl (2010) with respect to random perturbations in the storm's initial strength, size, and asymmetry in wind distribution. We rely on the Unified Wave Interface-Coupled Model (UWIN-CM), a fully coupled atmosphere-wave-ocean system to generate a storm realization ensemble, and use polynomial chaos (PC) expansions to build surrogate models for time evolution of both the maximum wind speed and minimum sea level pressure in Earl. The resulting PC surrogate models provide statistical insights on probability distributions of model responses throughout the simulation time span. Statistical analysis of rapid intensification (RI) suggests that initial perturbations having intensified and counterclockwise-rotated winds are more likely to undergo RI. In addition, for the range of initial conditions considered RI seems mostly sensitive to azimuthally averaged maximum wind speed and asymmetry orientation, rather than storm size and asymmetry magnitude; this is consistent with global sensitivity analysis of PC surrogate models. Finally, we combine initial condition perturbations with a stochastic kinetic energy backscatter scheme (SKEBS) forcing in the UWIN-CM simulations and conclude that the storm tracks are substantially influenced by the SKEBS forcing perturbations, whereas the perturbations in initial conditions alone had only limited impact on the storm-track forecast.
AB - This study focuses on understanding the evolution of Hurricane Earl (2010) with respect to random perturbations in the storm's initial strength, size, and asymmetry in wind distribution. We rely on the Unified Wave Interface-Coupled Model (UWIN-CM), a fully coupled atmosphere-wave-ocean system to generate a storm realization ensemble, and use polynomial chaos (PC) expansions to build surrogate models for time evolution of both the maximum wind speed and minimum sea level pressure in Earl. The resulting PC surrogate models provide statistical insights on probability distributions of model responses throughout the simulation time span. Statistical analysis of rapid intensification (RI) suggests that initial perturbations having intensified and counterclockwise-rotated winds are more likely to undergo RI. In addition, for the range of initial conditions considered RI seems mostly sensitive to azimuthally averaged maximum wind speed and asymmetry orientation, rather than storm size and asymmetry magnitude; this is consistent with global sensitivity analysis of PC surrogate models. Finally, we combine initial condition perturbations with a stochastic kinetic energy backscatter scheme (SKEBS) forcing in the UWIN-CM simulations and conclude that the storm tracks are substantially influenced by the SKEBS forcing perturbations, whereas the perturbations in initial conditions alone had only limited impact on the storm-track forecast.
KW - Bayesian methods
KW - Empirical orthogonal functions
KW - General circulation models
KW - Statistical techniques
UR - http://www.scopus.com/inward/record.url?scp=85060229425&partnerID=8YFLogxK
U2 - 10.1175/MWR-D-17-0371.1
DO - 10.1175/MWR-D-17-0371.1
M3 - Article
AN - SCOPUS:85060229425
SN - 0027-0644
VL - 147
SP - 221
EP - 245
JO - Monthly Weather Review
JF - Monthly Weather Review
IS - 1
ER -