Idealized atmospheric modeling

Brian Medeiros; Kevin A. Reed

doi:10.1016/B978-0-443-15748-6.00006-X

Idealized atmospheric modeling

Brian Medeiros, Kevin A. Reed

Climate Analysis

Stony Brook University

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Reduced complexity modeling has had a long history in climate science. Scientists and students alike turn to numerical models to better understand and simulate the climate system. Recent efforts have continued to support the implementation of hierarchies in atmospheric general circulation model (GCM) frameworks, that span from numerical tests, to aquaplanet experiments, to comprehensive climate simulations. In this chapter, we provide an overview of recent advances in idealized modeling. We focus on advances in reduced complexity applications within global models, primarily atmospheric GCMs.

Original language	American English
Title of host publication	Reference Module in Earth Systems and Environmental Sciences
Publisher	Elsevier
ISBN (Electronic)	9780124095489
DOIs	https://doi.org/10.1016/B978-0-443-15748-6.00006-X
State	Published - 2025

Keywords

Aquaplanet
Climate dynamics
Dynamical core
General circulation model
parameterization
Radiative convective equilibrium
Reduced complexity

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10.1016/B978-0-443-15748-6.00006-XLicense: Unspecified

Cite this

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title = "Idealized atmospheric modeling",

abstract = "Reduced complexity modeling has had a long history in climate science. Scientists and students alike turn to numerical models to better understand and simulate the climate system. Recent efforts have continued to support the implementation of hierarchies in atmospheric general circulation model (GCM) frameworks, that span from numerical tests, to aquaplanet experiments, to comprehensive climate simulations. In this chapter, we provide an overview of recent advances in idealized modeling. We focus on advances in reduced complexity applications within global models, primarily atmospheric GCMs.",

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AU - Reed, Kevin A.

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AB - Reduced complexity modeling has had a long history in climate science. Scientists and students alike turn to numerical models to better understand and simulate the climate system. Recent efforts have continued to support the implementation of hierarchies in atmospheric general circulation model (GCM) frameworks, that span from numerical tests, to aquaplanet experiments, to comprehensive climate simulations. In this chapter, we provide an overview of recent advances in idealized modeling. We focus on advances in reduced complexity applications within global models, primarily atmospheric GCMs.

KW - Aquaplanet

KW - Climate dynamics

KW - Dynamical core

KW - General circulation model

KW - parameterization

KW - Radiative convective equilibrium

KW - Reduced complexity

U2 - 10.1016/B978-0-443-15748-6.00006-X

DO - 10.1016/B978-0-443-15748-6.00006-X

M3 - Chapter

BT - Reference Module in Earth Systems and Environmental Sciences

PB - Elsevier

ER -

Idealized atmospheric modeling

Abstract

Keywords

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