Dynamical predictability of monthly means

The concept of predictability which is conditioned by synoptic-scale disturbance instabilities is extended to that of time averages, which are determined by low-frequency planetary wave predictability, in an attempt to determine the theoretical upper limit of dynamical predictability of monthly mean...

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Main Author: Shukla, J.
Format: Other/Unknown Material
Language:unknown
Published: 1981
Subjects:
47
Online Access:http://ntrs.nasa.gov/search.jsp?R=19820041396
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:19820041396 2023-05-15T18:18:15+02:00 Dynamical predictability of monthly means Shukla, J. Unclassified, Unlimited, Publicly available Dec 1, 1981 http://ntrs.nasa.gov/search.jsp?R=19820041396 unknown http://ntrs.nasa.gov/search.jsp?R=19820041396 Accession ID: 82A24931 Copyright Other Sources 47 Journal of the Atmospheric Sciences; 38; Dec. 198 1981 ftnasantrs 2012-02-15T15:02:44Z The concept of predictability which is conditioned by synoptic-scale disturbance instabilities is extended to that of time averages, which are determined by low-frequency planetary wave predictability, in an attempt to determine the theoretical upper limit of dynamical predictability of monthly means for prescribed, nonfluctuating external forcings. Sixty-day integrations of a global general circulation model with nine different initial conditions but identical boundary conditions of sea surface temperatures, snow, sea ice and soil moisture are carried out, where the rms vector wind error between the observed initial conditions is greater than 15 m/sec. It is found that while the variances among the first 30-day means, predicted from mostly different initial conditions, are significantly different from the variances due to random perturbations in the initial conditions, variances for days 31-60 are not so distinguishable. These results suggest that the evolution of long waves remains predictable for between one month and 45 days. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic 47
spellingShingle 47
Shukla, J.
Dynamical predictability of monthly means
topic_facet 47
description The concept of predictability which is conditioned by synoptic-scale disturbance instabilities is extended to that of time averages, which are determined by low-frequency planetary wave predictability, in an attempt to determine the theoretical upper limit of dynamical predictability of monthly means for prescribed, nonfluctuating external forcings. Sixty-day integrations of a global general circulation model with nine different initial conditions but identical boundary conditions of sea surface temperatures, snow, sea ice and soil moisture are carried out, where the rms vector wind error between the observed initial conditions is greater than 15 m/sec. It is found that while the variances among the first 30-day means, predicted from mostly different initial conditions, are significantly different from the variances due to random perturbations in the initial conditions, variances for days 31-60 are not so distinguishable. These results suggest that the evolution of long waves remains predictable for between one month and 45 days.
format Other/Unknown Material
author Shukla, J.
author_facet Shukla, J.
author_sort Shukla, J.
title Dynamical predictability of monthly means
title_short Dynamical predictability of monthly means
title_full Dynamical predictability of monthly means
title_fullStr Dynamical predictability of monthly means
title_full_unstemmed Dynamical predictability of monthly means
title_sort dynamical predictability of monthly means
publishDate 1981
url http://ntrs.nasa.gov/search.jsp?R=19820041396
op_coverage Unclassified, Unlimited, Publicly available
genre Sea ice
genre_facet Sea ice
op_source Other Sources
op_relation http://ntrs.nasa.gov/search.jsp?R=19820041396
Accession ID: 82A24931
op_rights Copyright
_version_ 1766194768924114944