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The Impact of Dropwindsonde Observations on Typhoon Track Forecasts in DOTSTAR and T-PARC

Chou, Kun-Hsuan und Wu, Chun-Chieh und Lin, Po-Hsiung und Aberson, Sim und Weissmann, Martin und Harnisch, Florian und Nakazawa, Tetsuo (2011) The Impact of Dropwindsonde Observations on Typhoon Track Forecasts in DOTSTAR and T-PARC. Monthly Weather Review, 139, Seiten 1728-1743. American Meteorological Society. DOI: 10.1175/2010MWR3582.1.

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Offizielle URL: http://journals.ametsoc.org/doi/pdf/10.1175/2010MWR3582.1

Kurzfassung

The typhoon surveillance program DOTSTAR (Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region) has been conducted since 2003 to obtain dropwindsonde observations around tropical cyclones near Taiwan. In addition, an international field project (THORPEX Pacific Asian Regional Campaign, T-PARC) in which dropwindsonde observations were obtained by both surveillance and reconnaissance flights, was conducted in summer 2008 in the same region. In this study, the impact of the dropwindsonde data on track forecasts is investigated for DOTSTAR (2003-2009) and T-PARC (2008) experiments. Two operational global models from NCEP (National Centers for Environmental Prediction) and ECMWF (European Centre for Medium-Range Weather Forecasts) are used to evaluate the impact of dropwindsonde data. In addition, the impact on the two-model mean is assessed. The impact of dropwindsonde data on track forecasts is different in the NCEP and ECMWF model systems. Using the NCEP system, the assimilation of dropwindsonde data leads to improvements in 1- to 5-day track forecasts in about 60% of the cases. The differences between track forecasts with and without the dropwindsonde data is generally larger for cases in which the data improved the forecasts than in cases in which the forecasts were degraded. Overall, the mean 1- to 5-day track forecast error is reduced by about 10-20% for both DOTSTAR and T-PARC cases in the NCEP system. In the ECMWF system, the impact is not as beneficial as in the NCEP system, likely due to more extensive use of satellite data and more complex data assimilation used in the former, leading to better performance even without dropwnidsonde data. The stronger impacts of the dropwindsonde data are revealed for the 3- to 5-day forecast in the two-model mean of the NCEP and ECMWF systems than for each individual model.

Dokumentart:Zeitschriftenbeitrag
Titel:The Impact of Dropwindsonde Observations on Typhoon Track Forecasts in DOTSTAR and T-PARC
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Chou, Kun-HsuanChinese Culture Univ., Taipei, Taiwan
Wu, Chun-ChiehNational Taiwan Univ., Taipei, Taiwan
Lin, Po-HsiungNational Taiwan Univ., Taipei, Taiwan
Aberson, SimNOAA/AOML, Miami, FL, USA
Weissmann, MartinMartin.Weissmann@dlr.de
Harnisch, FlorianFlorian.Harnisch@dlr.de
Nakazawa, TetsuoJMA, Tsukuba, J
Datum:2011
Erschienen in:Monthly Weather Review
Referierte Publikation:Ja
In Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:139
DOI :10.1175/2010MWR3582.1
Seitenbereich:Seiten 1728-1743
Verlag:American Meteorological Society
Status:veröffentlicht
Stichwörter:Dropsonde, DOTSTAR
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Vorhaben ADM (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Physik der Atmosphäre > Lidar
Hinterlegt von: Florian Harnisch
Hinterlegt am:06 Dez 2010 15:07
Letzte Änderung:12 Dez 2013 21:07

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