Systematic biases in the microphysics and thermodynamics of numerical models that ignore subgrid-scale variability

A grid box in a numerical model that ignores subgrid variability has biases in certain microphysical and thermodynamic quantities relative to the values that would be obtained if subgrid-scale variability were taken into account. The biases are important because they are systematic and hence have cu...

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Veröffentlicht in:Journal of the atmospheric sciences 2001-05, Vol.58 (9), p.1117-1128
Hauptverfasser: LARSON, Vincent E, WOOD, Robert, FIELD, Paul R, GOLAZ, Jean-Christophe, HAAR, Thomas H, COTTON, William R
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container_end_page 1128
container_issue 9
container_start_page 1117
container_title Journal of the atmospheric sciences
container_volume 58
creator LARSON, Vincent E
WOOD, Robert
FIELD, Paul R
GOLAZ, Jean-Christophe
HAAR, Thomas H
COTTON, William R
description A grid box in a numerical model that ignores subgrid variability has biases in certain microphysical and thermodynamic quantities relative to the values that would be obtained if subgrid-scale variability were taken into account. The biases are important because they are systematic and hence have cumulative effects. Several types of biases are discussed in this paper.
doi_str_mv 10.1175/1520-0469(2001)058<1117:SBITMA>2.0.CO;2
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source American Meteorological Society; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Atmosphere
Earth, ocean, space
Exact sciences and technology
External geophysics
Geophysics. Techniques, methods, instrumentation and models
Mathematical models
Physics
Thermodynamics
Variables
title Systematic biases in the microphysics and thermodynamics of numerical models that ignore subgrid-scale variability
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