ensemble transform Kalman filter (ETKF)
ABSTRACT: The spatial characteristics of ensemble transform Kalman filter (ETKF) sensitive area predictions (SAPs) are explored using ensemble forecasts from the European Centre for Medium-Range Weather Forecasts for the period of the 2003 North Atlantic THORPEX Regional Campaign. The ensemble size...
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Text |
Language: | English |
Subjects: | |
Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.7875 http://enkf.nersc.no/Publications/pet07a.pdf |
id |
ftciteseerx:oai:CiteSeerX.psu:10.1.1.379.7875 |
---|---|
record_format |
openpolar |
spelling |
ftciteseerx:oai:CiteSeerX.psu:10.1.1.379.7875 2023-05-15T17:33:39+02:00 ensemble transform Kalman filter (ETKF) Published Online In Wiley Interscience G. N. Petersen A. J. Thorpe A The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.7875 http://enkf.nersc.no/Publications/pet07a.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.7875 http://enkf.nersc.no/Publications/pet07a.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://enkf.nersc.no/Publications/pet07a.pdf KEY WORDS text ftciteseerx 2016-09-18T00:17:22Z ABSTRACT: The spatial characteristics of ensemble transform Kalman filter (ETKF) sensitive area predictions (SAPs) are explored using ensemble forecasts from the European Centre for Medium-Range Weather Forecasts for the period of the 2003 North Atlantic THORPEX Regional Campaign. The ensemble size necessary for a robust sensitive area prediction is found to be surprisingly small: a 10-member ensemble is capable of replicating approximately the same sensitive area structure as a 50-member ensemble. This result is corroborated by the fact that the leading eigenvector of the ensemble perturbations explains over 70 % of the ensemble variance and possesses a nearly identical spatial structure regardless of the ensemble size. The structures of the SAPs were found to vary with the lead-time between the ensemble initialization and the adaptive observing time, indicating the necessity of using as recent an ensemble as possible in ensemble-based sensitive area predictions. The ETKF SAPs exhibit similar structures at different levels in the atmosphere and there is no indication of a vertical tilt. A relationship is found between the SAPs and the zonal wind, horizontal temperature gradient and the Eady index, indicating that the ETKF identifies regions with significant gradients in the mass-momentum field as regions of large initial error or large error growth. Copyright © 2007 Royal Meteorological Society Text North Atlantic Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
ftciteseerx |
language |
English |
topic |
KEY WORDS |
spellingShingle |
KEY WORDS Published Online In Wiley Interscience G. N. Petersen A. J. Thorpe A ensemble transform Kalman filter (ETKF) |
topic_facet |
KEY WORDS |
description |
ABSTRACT: The spatial characteristics of ensemble transform Kalman filter (ETKF) sensitive area predictions (SAPs) are explored using ensemble forecasts from the European Centre for Medium-Range Weather Forecasts for the period of the 2003 North Atlantic THORPEX Regional Campaign. The ensemble size necessary for a robust sensitive area prediction is found to be surprisingly small: a 10-member ensemble is capable of replicating approximately the same sensitive area structure as a 50-member ensemble. This result is corroborated by the fact that the leading eigenvector of the ensemble perturbations explains over 70 % of the ensemble variance and possesses a nearly identical spatial structure regardless of the ensemble size. The structures of the SAPs were found to vary with the lead-time between the ensemble initialization and the adaptive observing time, indicating the necessity of using as recent an ensemble as possible in ensemble-based sensitive area predictions. The ETKF SAPs exhibit similar structures at different levels in the atmosphere and there is no indication of a vertical tilt. A relationship is found between the SAPs and the zonal wind, horizontal temperature gradient and the Eady index, indicating that the ETKF identifies regions with significant gradients in the mass-momentum field as regions of large initial error or large error growth. Copyright © 2007 Royal Meteorological Society |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Published Online In Wiley Interscience G. N. Petersen A. J. Thorpe A |
author_facet |
Published Online In Wiley Interscience G. N. Petersen A. J. Thorpe A |
author_sort |
Published Online In Wiley Interscience |
title |
ensemble transform Kalman filter (ETKF) |
title_short |
ensemble transform Kalman filter (ETKF) |
title_full |
ensemble transform Kalman filter (ETKF) |
title_fullStr |
ensemble transform Kalman filter (ETKF) |
title_full_unstemmed |
ensemble transform Kalman filter (ETKF) |
title_sort |
ensemble transform kalman filter (etkf) |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.7875 http://enkf.nersc.no/Publications/pet07a.pdf |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
http://enkf.nersc.no/Publications/pet07a.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.7875 http://enkf.nersc.no/Publications/pet07a.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766132228317773824 |