Coupled Ocean-Atmosphere Models: Physical Processes

Minghua Zhang

doi:10.1016/B978-0-323-96026-7.00125-9

Coupled Ocean-Atmosphere Models: Physical Processes

Minghua Zhang

Office of the Dean SOMAS

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This article describes the physical processes that are parameterized in coupled ocean-atmospheric models. These include radiative transfer, cloud macro and microphysics, precipitation, turbulence, surface fluxes, convection, and gravity waves. It also briefly introduces super-parameterizations and machine learning models, land surface models, and sea-ice models. Performances and biases of current coupled ocean-atmosphere models are discussed.

Original language	English
Title of host publication	Encyclopedia of Atmospheric Sciences
Publisher	Elsevier
Pages	V1:194-V1:204
ISBN (Electronic)	9780323960267
ISBN (Print)	9780323958219
DOIs	https://doi.org/10.1016/B978-0-323-96026-7.00125-9
State	Published - Jan 1 2025

Keywords

Aerosols
Clouds
Convection
Gravity waves
Precipitation
Radiative transfer
Surface fluxes
Turbulent mixing

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10.1016/B978-0-323-96026-7.00125-9

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abstract = "This article describes the physical processes that are parameterized in coupled ocean-atmospheric models. These include radiative transfer, cloud macro and microphysics, precipitation, turbulence, surface fluxes, convection, and gravity waves. It also briefly introduces super-parameterizations and machine learning models, land surface models, and sea-ice models. Performances and biases of current coupled ocean-atmosphere models are discussed.",

keywords = "Aerosols, Clouds, Convection, Gravity waves, Precipitation, Radiative transfer, Surface fluxes, Turbulent mixing",

author = "Minghua Zhang",

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AB - This article describes the physical processes that are parameterized in coupled ocean-atmospheric models. These include radiative transfer, cloud macro and microphysics, precipitation, turbulence, surface fluxes, convection, and gravity waves. It also briefly introduces super-parameterizations and machine learning models, land surface models, and sea-ice models. Performances and biases of current coupled ocean-atmosphere models are discussed.

KW - Aerosols

KW - Clouds

KW - Convection

KW - Gravity waves

KW - Precipitation

KW - Radiative transfer

KW - Surface fluxes

KW - Turbulent mixing

UR - https://www.scopus.com/pages/publications/105028815338

U2 - 10.1016/B978-0-323-96026-7.00125-9

DO - 10.1016/B978-0-323-96026-7.00125-9

M3 - Chapter

AN - SCOPUS:105028815338

SN - 9780323958219

SP - V1:194-V1:204

BT - Encyclopedia of Atmospheric Sciences

PB - Elsevier

ER -

Coupled Ocean-Atmosphere Models: Physical Processes

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Keywords

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