Loading…
Assessing the potential predictability of tropical cyclone activity in the Philippines on weekly timescales
This study investigates the potential predictability of tropical cyclone (TC) activity over the Philippine Area of Responsibility (PAR) on weekly timescales using the NCEP 16-day Global Ensemble Forecast System (NCEP-GEFS). An algorithm that uses information on selected dynamic and thermodynamic cri...
Saved in:
Published in: | TAO : Terrestrial, atmospheric, and oceanic sciences atmospheric, and oceanic sciences, 2021-10, Vol.32 (5), p.741-754 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 754 |
container_issue | 5 |
container_start_page | 741 |
container_title | TAO : Terrestrial, atmospheric, and oceanic sciences |
container_volume | 32 |
creator | II, Marcelino Q. Villafuerte Lo, Tzu-Ting Tsai, Hsiao-Chung Cayanan, Esperanza O. |
description | This study investigates the potential predictability of tropical cyclone (TC) activity over the Philippine Area of Responsibility (PAR) on weekly timescales using the NCEP 16-day Global Ensemble Forecast System (NCEP-GEFS). An algorithm that uses information on selected dynamic and thermodynamic criteria was utilized to detect and track TC-like vortices (TCLV) from the 6-hourly NCEP-GEFS model runs covering a two-year period from 1 January to 31 December in 2015 and 2017. A 2 × 2 contingency table was used to summarize the event forecast relative to the observed TC occurrence and subsequent tracks over the PAR on weekly timescales. A forecast hit was declared if there is at least 50% overlap between the polygons created from the drawn circles with 500 km radius centered at the identified forecast TCLV center and the observed TC track. The hindcast period covering the evaluation of NCEP-GEFS indicate a hit-rate of 0.49 and 0.19 for the 1- and 2-week TC forecasts, respectively in the PAR. It is also revealed that the stronger the TC and the farther it developed to the eastern boundary of the PAR, which typically occur during El Niño (as in the 2015 case), the higher chance it could be forecasted one week ahead of time. Furthermore, better TC predictability in the PAR is achieved when the Madden-Julian Oscillation's active convection phase is located over Africa and the western Indian Ocean (Phase 1) for the Week-1 forecast period and over the Maritime Continent (Phase 5) for the Week-2 forecast period. |
doi_str_mv | 10.3319/TAO.2021.08.23.03 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2705428103</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><airiti_id>10170839_202110_202204120010_202204120010_741_754</airiti_id><sourcerecordid>2705428103</sourcerecordid><originalsourceid>FETCH-LOGICAL-a290t-427e449a129d2ddcdc235370d5092e032122cc9362529ab8a4c68b1e447913463</originalsourceid><addsrcrecordid>eNpdkE1LAzEQhoMoWKs_wFvA866TSbabHEvxCwr1oOeQZlONrrtrkir992ZbQfA0DPM-78BDyCWDknOmrp_mqxIBWQmyRF4CPyIT5IwV9UzCMZkwYHUBkqtTchbjG4CoUMoJeZ_H6GL03QtNr44OfXJd8qalQ3CNt8msfevTjvYbmkI_eJtPdmfbvnPU2OS_xqPv9vDja84Og-9cpH1Hv517b3c0-Q8XM-biOTnZmDa6i985Jc-3N0-L-2K5untYzJeFQQWpEFg7IZRhqBpsGttY5BWvoalAoQOODNFaxWdYoTJraYSdyTXLTK0YFzM-JVeH3iH0n1sXk37rt6HLLzXWUAmUDHhOsUPKhj7G4DZ6CP7DhJ1moEenOjvVo1MNUiPXe-b-wBgffPJ_vaPe0e4-n_k8EARDgP9LLZiuK8F_AKqlffw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2705428103</pqid></control><display><type>article</type><title>Assessing the potential predictability of tropical cyclone activity in the Philippines on weekly timescales</title><source>Publicly Available Content Database</source><creator>II, Marcelino Q. Villafuerte ; Lo, Tzu-Ting ; Tsai, Hsiao-Chung ; Cayanan, Esperanza O.</creator><creatorcontrib>II, Marcelino Q. Villafuerte ; Lo, Tzu-Ting ; Tsai, Hsiao-Chung ; Cayanan, Esperanza O.</creatorcontrib><description>This study investigates the potential predictability of tropical cyclone (TC) activity over the Philippine Area of Responsibility (PAR) on weekly timescales using the NCEP 16-day Global Ensemble Forecast System (NCEP-GEFS). An algorithm that uses information on selected dynamic and thermodynamic criteria was utilized to detect and track TC-like vortices (TCLV) from the 6-hourly NCEP-GEFS model runs covering a two-year period from 1 January to 31 December in 2015 and 2017. A 2 × 2 contingency table was used to summarize the event forecast relative to the observed TC occurrence and subsequent tracks over the PAR on weekly timescales. A forecast hit was declared if there is at least 50% overlap between the polygons created from the drawn circles with 500 km radius centered at the identified forecast TCLV center and the observed TC track. The hindcast period covering the evaluation of NCEP-GEFS indicate a hit-rate of 0.49 and 0.19 for the 1- and 2-week TC forecasts, respectively in the PAR. It is also revealed that the stronger the TC and the farther it developed to the eastern boundary of the PAR, which typically occur during El Niño (as in the 2015 case), the higher chance it could be forecasted one week ahead of time. Furthermore, better TC predictability in the PAR is achieved when the Madden-Julian Oscillation's active convection phase is located over Africa and the western Indian Ocean (Phase 1) for the Week-1 forecast period and over the Maritime Continent (Phase 5) for the Week-2 forecast period.</description><identifier>ISSN: 1017-0839</identifier><identifier>EISSN: 2311-7680</identifier><identifier>DOI: 10.3319/TAO.2021.08.23.03</identifier><language>eng</language><publisher>Taiwan: 中華民國地球科學學會</publisher><subject>Algorithms ; Contingency ; Convection ; Cyclones ; Cyclonic activity ; El Nino ; El Nino events ; El Nino phenomena ; Ensemble forecasting ; Evaluation ; Hurricanes ; Madden-Julian oscillation ; Statistical analysis ; Tropical cyclone activity ; Tropical cyclones ; Weekly</subject><ispartof>TAO : Terrestrial, atmospheric, and oceanic sciences, 2021-10, Vol.32 (5), p.741-754</ispartof><rights>2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2705428103/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2705428103?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25752,27923,27924,37011,44589,74997</link.rule.ids></links><search><creatorcontrib>II, Marcelino Q. Villafuerte</creatorcontrib><creatorcontrib>Lo, Tzu-Ting</creatorcontrib><creatorcontrib>Tsai, Hsiao-Chung</creatorcontrib><creatorcontrib>Cayanan, Esperanza O.</creatorcontrib><title>Assessing the potential predictability of tropical cyclone activity in the Philippines on weekly timescales</title><title>TAO : Terrestrial, atmospheric, and oceanic sciences</title><description>This study investigates the potential predictability of tropical cyclone (TC) activity over the Philippine Area of Responsibility (PAR) on weekly timescales using the NCEP 16-day Global Ensemble Forecast System (NCEP-GEFS). An algorithm that uses information on selected dynamic and thermodynamic criteria was utilized to detect and track TC-like vortices (TCLV) from the 6-hourly NCEP-GEFS model runs covering a two-year period from 1 January to 31 December in 2015 and 2017. A 2 × 2 contingency table was used to summarize the event forecast relative to the observed TC occurrence and subsequent tracks over the PAR on weekly timescales. A forecast hit was declared if there is at least 50% overlap between the polygons created from the drawn circles with 500 km radius centered at the identified forecast TCLV center and the observed TC track. The hindcast period covering the evaluation of NCEP-GEFS indicate a hit-rate of 0.49 and 0.19 for the 1- and 2-week TC forecasts, respectively in the PAR. It is also revealed that the stronger the TC and the farther it developed to the eastern boundary of the PAR, which typically occur during El Niño (as in the 2015 case), the higher chance it could be forecasted one week ahead of time. Furthermore, better TC predictability in the PAR is achieved when the Madden-Julian Oscillation's active convection phase is located over Africa and the western Indian Ocean (Phase 1) for the Week-1 forecast period and over the Maritime Continent (Phase 5) for the Week-2 forecast period.</description><subject>Algorithms</subject><subject>Contingency</subject><subject>Convection</subject><subject>Cyclones</subject><subject>Cyclonic activity</subject><subject>El Nino</subject><subject>El Nino events</subject><subject>El Nino phenomena</subject><subject>Ensemble forecasting</subject><subject>Evaluation</subject><subject>Hurricanes</subject><subject>Madden-Julian oscillation</subject><subject>Statistical analysis</subject><subject>Tropical cyclone activity</subject><subject>Tropical cyclones</subject><subject>Weekly</subject><issn>1017-0839</issn><issn>2311-7680</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdkE1LAzEQhoMoWKs_wFvA866TSbabHEvxCwr1oOeQZlONrrtrkir992ZbQfA0DPM-78BDyCWDknOmrp_mqxIBWQmyRF4CPyIT5IwV9UzCMZkwYHUBkqtTchbjG4CoUMoJeZ_H6GL03QtNr44OfXJd8qalQ3CNt8msfevTjvYbmkI_eJtPdmfbvnPU2OS_xqPv9vDja84Og-9cpH1Hv517b3c0-Q8XM-biOTnZmDa6i985Jc-3N0-L-2K5untYzJeFQQWpEFg7IZRhqBpsGttY5BWvoalAoQOODNFaxWdYoTJraYSdyTXLTK0YFzM-JVeH3iH0n1sXk37rt6HLLzXWUAmUDHhOsUPKhj7G4DZ6CP7DhJ1moEenOjvVo1MNUiPXe-b-wBgffPJ_vaPe0e4-n_k8EARDgP9LLZiuK8F_AKqlffw</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>II, Marcelino Q. Villafuerte</creator><creator>Lo, Tzu-Ting</creator><creator>Tsai, Hsiao-Chung</creator><creator>Cayanan, Esperanza O.</creator><general>中華民國地球科學學會</general><general>Chinese Geoscience Union (Taiwan)</general><scope>188</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7X2</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>BVBZV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H95</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>LK8</scope><scope>M0K</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20211001</creationdate><title>Assessing the potential predictability of tropical cyclone activity in the Philippines on weekly timescales</title><author>II, Marcelino Q. Villafuerte ; Lo, Tzu-Ting ; Tsai, Hsiao-Chung ; Cayanan, Esperanza O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a290t-427e449a129d2ddcdc235370d5092e032122cc9362529ab8a4c68b1e447913463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Contingency</topic><topic>Convection</topic><topic>Cyclones</topic><topic>Cyclonic activity</topic><topic>El Nino</topic><topic>El Nino events</topic><topic>El Nino phenomena</topic><topic>Ensemble forecasting</topic><topic>Evaluation</topic><topic>Hurricanes</topic><topic>Madden-Julian oscillation</topic><topic>Statistical analysis</topic><topic>Tropical cyclone activity</topic><topic>Tropical cyclones</topic><topic>Weekly</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>II, Marcelino Q. Villafuerte</creatorcontrib><creatorcontrib>Lo, Tzu-Ting</creatorcontrib><creatorcontrib>Tsai, Hsiao-Chung</creatorcontrib><creatorcontrib>Cayanan, Esperanza O.</creatorcontrib><collection>Chinese Electronic Periodical Services (CEPS)</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>East & South Asia Database</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>TAO : Terrestrial, atmospheric, and oceanic sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>II, Marcelino Q. Villafuerte</au><au>Lo, Tzu-Ting</au><au>Tsai, Hsiao-Chung</au><au>Cayanan, Esperanza O.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing the potential predictability of tropical cyclone activity in the Philippines on weekly timescales</atitle><jtitle>TAO : Terrestrial, atmospheric, and oceanic sciences</jtitle><date>2021-10-01</date><risdate>2021</risdate><volume>32</volume><issue>5</issue><spage>741</spage><epage>754</epage><pages>741-754</pages><issn>1017-0839</issn><eissn>2311-7680</eissn><abstract>This study investigates the potential predictability of tropical cyclone (TC) activity over the Philippine Area of Responsibility (PAR) on weekly timescales using the NCEP 16-day Global Ensemble Forecast System (NCEP-GEFS). An algorithm that uses information on selected dynamic and thermodynamic criteria was utilized to detect and track TC-like vortices (TCLV) from the 6-hourly NCEP-GEFS model runs covering a two-year period from 1 January to 31 December in 2015 and 2017. A 2 × 2 contingency table was used to summarize the event forecast relative to the observed TC occurrence and subsequent tracks over the PAR on weekly timescales. A forecast hit was declared if there is at least 50% overlap between the polygons created from the drawn circles with 500 km radius centered at the identified forecast TCLV center and the observed TC track. The hindcast period covering the evaluation of NCEP-GEFS indicate a hit-rate of 0.49 and 0.19 for the 1- and 2-week TC forecasts, respectively in the PAR. It is also revealed that the stronger the TC and the farther it developed to the eastern boundary of the PAR, which typically occur during El Niño (as in the 2015 case), the higher chance it could be forecasted one week ahead of time. Furthermore, better TC predictability in the PAR is achieved when the Madden-Julian Oscillation's active convection phase is located over Africa and the western Indian Ocean (Phase 1) for the Week-1 forecast period and over the Maritime Continent (Phase 5) for the Week-2 forecast period.</abstract><cop>Taiwan</cop><pub>中華民國地球科學學會</pub><doi>10.3319/TAO.2021.08.23.03</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1017-0839 |
ispartof | TAO : Terrestrial, atmospheric, and oceanic sciences, 2021-10, Vol.32 (5), p.741-754 |
issn | 1017-0839 2311-7680 |
language | eng |
recordid | cdi_proquest_journals_2705428103 |
source | Publicly Available Content Database |
subjects | Algorithms Contingency Convection Cyclones Cyclonic activity El Nino El Nino events El Nino phenomena Ensemble forecasting Evaluation Hurricanes Madden-Julian oscillation Statistical analysis Tropical cyclone activity Tropical cyclones Weekly |
title | Assessing the potential predictability of tropical cyclone activity in the Philippines on weekly timescales |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T06%3A42%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessing%20the%20potential%20predictability%20of%20tropical%20cyclone%20activity%20in%20the%20Philippines%20on%20weekly%20timescales&rft.jtitle=TAO%20:%20Terrestrial,%20atmospheric,%20and%20oceanic%20sciences&rft.au=II,%20Marcelino%20Q.%20Villafuerte&rft.date=2021-10-01&rft.volume=32&rft.issue=5&rft.spage=741&rft.epage=754&rft.pages=741-754&rft.issn=1017-0839&rft.eissn=2311-7680&rft_id=info:doi/10.3319/TAO.2021.08.23.03&rft_dat=%3Cproquest_cross%3E2705428103%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a290t-427e449a129d2ddcdc235370d5092e032122cc9362529ab8a4c68b1e447913463%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2705428103&rft_id=info:pmid/&rft_airiti_id=10170839_202110_202204120010_202204120010_741_754&rfr_iscdi=true |