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Improving the Scientific Foundation for Atmosphere-Land-Ocean Simulations: Report of a Workshop (2005)

Chapter: Appendix F Abbreviations and Acronyms

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Suggested Citation:"Appendix F Abbreviations and Acronyms." National Research Council. 2005. Improving the Scientific Foundation for Atmosphere-Land-Ocean Simulations: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11266.
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F
Abbreviations and Acronyms


ABL

atmospheric boundary layer

AGCM

Atmospheric General Circulation Model

A-L-O

atmosphere-land-ocean

AM2

Geophysical Fluid Dynamics Laboratory Atmospheric Model 2

AMS

American Meteorological Society

AO

Arctic Oscillation

ARM

Atmospheric Radiation Measurement


BASC

Board on Atmospheric Sciences and Climate


CAM

Community Atmosphere Model

CCM2

Community Climate Model-2

CCSM

Community Climate System Model

CLIVAR

Climate Variability and Predictability

CO2

carbon dioxide

CPT

Climate Process and Modeling Team

CRM

Community Regional Model

CRYSTAL-FACE

Cirrus Regional Study of Tropical Anvils and Cirrus Layers-Florida Area Cirrus Experiment


DMS

dimethyl sulphide

DNS

direct numerical simulation

DYCOMS-II

Dynamics and Chemistry of Marine Stratocumulus Experiment

Page 69 Cite
Suggested Citation:"Appendix F Abbreviations and Acronyms." National Research Council. 2005. Improving the Scientific Foundation for Atmosphere-Land-Ocean Simulations: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11266.
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ECMWF

European Centre for Medium-Range Weather Forecasts

ENSO

El Niño-Southern Oscillation


GCM

General Circulation Model

GCSS

GEWEX Cloud Systems Study

GEWEX

Global Energy and Water Vapor Experiment

GFDL

Geophysical Fluid Dynamics Laboratory

GISS

NASA Goddard Institute for Space Studies


IR

infrared

ITCZ

intertropical convergence zone


LES

large-eddy simulation


NASA

National Aeronautics and Space Administration

NCAR

National Center for Atmospheric Research

NOAA

National Oceanic and Atmospheric Administration

NSF

National Science Foundation

NWP

numerical weather prediction


OBL

oceanic boundary layer

ONR

Office of Naval Research


PBL

planetary boundary layer


QBO

quasi-biennial oscillation


Re

Reynolds number

RICO

Rain in Cumulus over the Ocean Experiment


SOLAS

Surface Ocean Lower Atmosphere Study


TES

Tropospheric Emission Spectrometer

TKE

turbulent kinetic energy

TWP-ICE

ARM’s Tropical Warm Pool International Cloud Experiment

Page 68 Cite
Suggested Citation:"Appendix F Abbreviations and Acronyms." National Research Council. 2005. Improving the Scientific Foundation for Atmosphere-Land-Ocean Simulations: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11266.
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Page 69 Cite
Suggested Citation:"Appendix F Abbreviations and Acronyms." National Research Council. 2005. Improving the Scientific Foundation for Atmosphere-Land-Ocean Simulations: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11266.
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The National Academies' Board on Atmospheric Sciences and Climate (BASC) held a workshop to explore and evaluate current efforts to model physical processes of coupled atmosphere-land-ocean (A-L-O) models. Numerical models of the atmosphere and ocean are central to weather prediction, research, and education. Although great strides have been made over the past few decades in understanding the atmosphere and ocean, modeling capabilities, and numerical A-L-O simulations, some unresolved processes in the models do not adequately represent knowledge of the underlying physics. Moreover, there is evidence that further progress in numerical simulations is being impeded by the slow pace of improvement in the representation of key physical processes in the models and the fact that geophysical flow models are not receiving the attention needed to make these tools more useful and accurate. These models often are used to predict future events, so it is imperative that their underlying physical processes be represented as robustly as possible. During the workshop, the parameterization of physical processes in A-L-O models was addressed, including associated errors, testing, and efforts to improve the use of parameterizations. Participants also examined intellectual and scientific challenges in modeling and highlighted the idea that some of the key impediments to progress in representing physical processes are primarily cultural in nature.

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