The Optimal Precursor of El Niño in the GFDL CM2p1 Model

By applying the principal component analysis‐based particle swarm optimization algorithm, the conditional nonlinear optimal perturbation is firstly calculated in the Geophysical Fluid Dynamics Laboratory Climate Model version 2p1 (GFDL CM2p1) to identify the optimal precursor (OPR) of El Niño. Speci...

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Vydané v:	Journal of geophysical research. Oceans Ročník 125; číslo 3
Hlavní autori:	Yang, Zeyun, Fang, Xianghui, Mu, Mu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Washington Blackwell Publishing Ltd 01.03.2020
Predmet:	Algorithms Climate models CNOP Computational fluid dynamics El Nino El Nino phenomena ENSO Evolution Fluid dynamics fluid mechanics Geophysical fluids Geophysics GFDL CM2p1 Hydrodynamics Mathematical models Mixed layer Numerical models optimal precursor Optimization algorithms Particle swarm optimization Perturbation methods Positive feedback PPSO Precursors Principal components analysis Sea surface Sea surface temperature Southern Oscillation Surface temperature surface water temperature Surface wind wind
ISSN:	2169-9275, 2169-9291
On-line prístup:	Získať plný text
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