Proper orthogonal decomposition reduced-order model of the global oceans

被引：2

作者：

Kitsios, Vassili ^{[1
,2
]}

Cordier, Laurent ^{[3
]}

O'Kane, Terence J. ^{[4
]}

机构：

[1] CSIRO, Environment, 107-121 Stn St, Aspendale, Vic 3195, Australia

[2] Monash Univ, Dept Mech & Aerosp Engn, Lab Turbulence Res Aerosp & Combust, Clayton, Vic 3800, Australia

[3] Univ Poitiers, ENSMA Inst Pprime, Dept Fluides Therm & Combust, ENSMA,CNRS, F-86360 Futuroscope, France

[4] CSIRO, Environment, Castray Esplanade, Battery Point, Tas 7004, Australia

来源：

THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS | 2024年 / 38卷 / 05期

关键词：

Reduced-order modelling; Ocean; Climate; DYNAMICAL-SYSTEMS; PART I; REDUCTION;

D O I：

10.1007/s00162-024-00719-9

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

A reduced-order model (ROM) of the global oceans is developed by projecting the hydrostatic Boussinesq equations of motion onto a proper orthogonal decomposition (POD) basis. Three-dimensional POD modes are calculated from the ocean fields of an ensemble climate reanalysis dataset. The coefficients in the POD ROM are calculated using a regression approach. The performance of various POD ROM configurations are assessed. Each configuration is derived from an alternate sea-water equation of state, linking the density and temperature fields. POD ROM variants incorporating an equation of state in which density is a quadratic function of temperature, are able to reproduce the statistics of the large-scale structures at a fraction of the computational cost required to numerically simulate this flow. Due to the speed and efficiency of calculation, such reduced-order models of the global geophysical system will enable researchers and policy makers to assess the physical risk for a broader range of potential future climate scenarios.

引用

页码：707 / 727

页数：21

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