Analog Ensemble Methods for Improving Satellite-Based Intensity Estimates of Tropical Cyclones

Accurate, reliable estimates of tropical cyclone (TC) intensity are a crucial element in the warning and forecast process worldwide, and for the better part of 50 years, estimates made from geostationary satellite observations have been indispensable to forecasters for this purpose. One such method,...

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Published in:Atmosphere
Main Authors: William E. Lewis, Timothy L. Olander, Christopher S. Velden, Christopher Rozoff, Stefano Alessandrini
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
Online Access:https://doi.org/10.3390/atmos12070830
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spelling ftmdpi:oai:mdpi.com:/2073-4433/12/7/830/ 2023-08-20T04:08:24+02:00 Analog Ensemble Methods for Improving Satellite-Based Intensity Estimates of Tropical Cyclones William E. Lewis Timothy L. Olander Christopher S. Velden Christopher Rozoff Stefano Alessandrini agris 2021-06-28 application/pdf https://doi.org/10.3390/atmos12070830 EN eng Multidisciplinary Digital Publishing Institute Meteorology https://dx.doi.org/10.3390/atmos12070830 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 12; Issue 7; Pages: 830 tropical cyclones intensity Dvorak method analog ensemble satellites Text 2021 ftmdpi https://doi.org/10.3390/atmos12070830 2023-08-01T02:03:46Z Accurate, reliable estimates of tropical cyclone (TC) intensity are a crucial element in the warning and forecast process worldwide, and for the better part of 50 years, estimates made from geostationary satellite observations have been indispensable to forecasters for this purpose. One such method, the Advanced Dvorak Technique (ADT), was used to develop analog ensemble (AnEn) techniques that provide more precise estimates of TC intensity with instant access to information on the reliability of the estimate. The resulting methods, ADT-AnEn and ADT-based Error Analog Ensemble (ADTE-AnEn), were trained and tested using seventeen years of historical ADT intensity estimates using k-fold cross-validation with 10 folds. Using only two predictors, ADT-estimated current intensity (maximum wind speed) and TC center latitude, both AnEn techniques produced significant reductions in mean absolute error and bias for all TC intensity classes in the North Atlantic and for most intensity classes in the Eastern Pacific. The ADTE-AnEn performed better for extreme intensities in both basins (significantly so in the Eastern Pacific) and will be incorporated in the University of Wisconsin’s Cooperative Institute for Meteorological Satellite Studies (UW-CIMSS) workflow for further testing during operations in 2021. Text North Atlantic MDPI Open Access Publishing Pacific Atmosphere 12 7 830
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic tropical cyclones
intensity
Dvorak method
analog ensemble
satellites
spellingShingle tropical cyclones
intensity
Dvorak method
analog ensemble
satellites
William E. Lewis
Timothy L. Olander
Christopher S. Velden
Christopher Rozoff
Stefano Alessandrini
Analog Ensemble Methods for Improving Satellite-Based Intensity Estimates of Tropical Cyclones
topic_facet tropical cyclones
intensity
Dvorak method
analog ensemble
satellites
description Accurate, reliable estimates of tropical cyclone (TC) intensity are a crucial element in the warning and forecast process worldwide, and for the better part of 50 years, estimates made from geostationary satellite observations have been indispensable to forecasters for this purpose. One such method, the Advanced Dvorak Technique (ADT), was used to develop analog ensemble (AnEn) techniques that provide more precise estimates of TC intensity with instant access to information on the reliability of the estimate. The resulting methods, ADT-AnEn and ADT-based Error Analog Ensemble (ADTE-AnEn), were trained and tested using seventeen years of historical ADT intensity estimates using k-fold cross-validation with 10 folds. Using only two predictors, ADT-estimated current intensity (maximum wind speed) and TC center latitude, both AnEn techniques produced significant reductions in mean absolute error and bias for all TC intensity classes in the North Atlantic and for most intensity classes in the Eastern Pacific. The ADTE-AnEn performed better for extreme intensities in both basins (significantly so in the Eastern Pacific) and will be incorporated in the University of Wisconsin’s Cooperative Institute for Meteorological Satellite Studies (UW-CIMSS) workflow for further testing during operations in 2021.
format Text
author William E. Lewis
Timothy L. Olander
Christopher S. Velden
Christopher Rozoff
Stefano Alessandrini
author_facet William E. Lewis
Timothy L. Olander
Christopher S. Velden
Christopher Rozoff
Stefano Alessandrini
author_sort William E. Lewis
title Analog Ensemble Methods for Improving Satellite-Based Intensity Estimates of Tropical Cyclones
title_short Analog Ensemble Methods for Improving Satellite-Based Intensity Estimates of Tropical Cyclones
title_full Analog Ensemble Methods for Improving Satellite-Based Intensity Estimates of Tropical Cyclones
title_fullStr Analog Ensemble Methods for Improving Satellite-Based Intensity Estimates of Tropical Cyclones
title_full_unstemmed Analog Ensemble Methods for Improving Satellite-Based Intensity Estimates of Tropical Cyclones
title_sort analog ensemble methods for improving satellite-based intensity estimates of tropical cyclones
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/atmos12070830
op_coverage agris
geographic Pacific
geographic_facet Pacific
genre North Atlantic
genre_facet North Atlantic
op_source Atmosphere; Volume 12; Issue 7; Pages: 830
op_relation Meteorology
https://dx.doi.org/10.3390/atmos12070830
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/atmos12070830
container_title Atmosphere
container_volume 12
container_issue 7
container_start_page 830
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