Dependence of forecast limits on the spatial resolution of the measurements used to initialize a forecast model

A calculation of the dependence of forecast limits on the spatial resolution (that is, the effective observation density) of the meteorological data used to initialize a forecast model is demonstrated. The calculation uses the fact that the effective error-energy spectrum of meteorological measureme...

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Published in:Meteorologische Zeitschrift
Main Authors: R. M. Jones, J. M. Wilczak, T. M. Georges
Format: Article
Language:English
Published: Borntraeger 1993-10-01
Subjects:
Online Access:http://dx.doi.org/10.1127/metz/2/1993/244
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author R. M. Jones
J. M. Wilczak
T. M. Georges
author_facet R. M. Jones
J. M. Wilczak
T. M. Georges
author_sort R. M. Jones
collection DOAJ
container_title Meteorologische Zeitschrift
description A calculation of the dependence of forecast limits on the spatial resolution (that is, the effective observation density) of the meteorological data used to initialize a forecast model is demonstrated. The calculation uses the fact that the effective error-energy spectrum of meteorological measurements of a specific spatial resolution has a rapid transition from zero to 100 % of the background energy spectrum at a wavenumber corresponding to the smallest resolvable scale. For the forecast model of E. N. Lorenz (1969), doubling the data resolution by halving the smallest resolvable scale from 78 to 39 km, for example, extends the forecast limit by 1.4 h.
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spelling doaj-art-fb88fc01ad2f4e1d8fd7136e2eff0ed32025-08-19T22:25:07ZengBorntraegerMeteorologische Zeitschrift0941-29481993-10-012524424510.1127/metz/2/1993/24489610Dependence of forecast limits on the spatial resolution of the measurements used to initialize a forecast modelR. M. JonesJ. M. WilczakT. M. GeorgesA calculation of the dependence of forecast limits on the spatial resolution (that is, the effective observation density) of the meteorological data used to initialize a forecast model is demonstrated. The calculation uses the fact that the effective error-energy spectrum of meteorological measurements of a specific spatial resolution has a rapid transition from zero to 100 % of the background energy spectrum at a wavenumber corresponding to the smallest resolvable scale. For the forecast model of E. N. Lorenz (1969), doubling the data resolution by halving the smallest resolvable scale from 78 to 39 km, for example, extends the forecast limit by 1.4 h.http://dx.doi.org/10.1127/metz/2/1993/244meteorological measurementsforecast modelmeteorologische messungenvorhersagemodell
spellingShingle R. M. Jones
J. M. Wilczak
T. M. Georges
Dependence of forecast limits on the spatial resolution of the measurements used to initialize a forecast model
meteorological measurements
forecast model
meteorologische messungen
vorhersagemodell
title Dependence of forecast limits on the spatial resolution of the measurements used to initialize a forecast model
title_full Dependence of forecast limits on the spatial resolution of the measurements used to initialize a forecast model
title_fullStr Dependence of forecast limits on the spatial resolution of the measurements used to initialize a forecast model
title_full_unstemmed Dependence of forecast limits on the spatial resolution of the measurements used to initialize a forecast model
title_short Dependence of forecast limits on the spatial resolution of the measurements used to initialize a forecast model
title_sort dependence of forecast limits on the spatial resolution of the measurements used to initialize a forecast model
topic meteorological measurements
forecast model
meteorologische messungen
vorhersagemodell
url http://dx.doi.org/10.1127/metz/2/1993/244
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AT tmgeorges dependenceofforecastlimitsonthespatialresolutionofthemeasurementsusedtoinitializeaforecastmodel