Impact of FORMOSAT-3/COSMIC radio occultation data on the prediction of super cyclone Gonu (2007): A case study

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Title:	Impact of FORMOSAT-3/COSMIC radio occultation data on the prediction of super cyclone Gonu (2007): A case study
Authors:	陳舒雅;Anisetty, S. K. A. V. Prasad Rao;Huang, Ching-Yuang;Chen, Shu-Ya
Contributors:	全球大氣觀測與資料應用研究中心
Keywords:	Assimilation;Case studies;Civil Engineering;Cyclones;Data assimilation;Data collection;Earth and Environmental Science;Earth Sciences;Earth, ocean, space;Engineering and environment geology. Geothermics;Environmental conditions;Environmental impact;Environmental Management;Exact sciences and technology;Geophysics/Geodesy;Geotechnical Engineering & Applied Earth Sciences;Global positioning systems;GPS;Hydrogeology;Mathematical models;Natural Hazards;Natural hazards: prediction, damages, etc;Original Paper;Predictions;Radio frequency;Refractivity;Sounding;Three dimensional models;Variational methods;Weather
Date:	2014-01-01
Issue Date:	2026-04-23 11:24:09 (UTC+8)
Publisher:	Springer Netherlands;Dordrecht: Springer Netherlands
Abstract:	摘要： This study aims to present an encouraging example of prediction of super cyclone Gonu over the northern Indian Ocean in 2007. A series of experiments are conducted using the advanced Weather Research and Forecasting model with three-dimensional variational method to assimilate GPS RO refractivity from FORMOSAT-3/COSMIC (hereafter referred as GPS) and radiosonde sounding (GTS) to highlight the relative impact of GPS RO data on model prediction. Significant differences in cyclone track and intensity prediction are exhibited in various experiments with and without cyclic assimilations. Both cold-start (non-cyclic) and hot-start (cyclic) runs with GPS RO data exhibit improvement on later track prediction compared to the control run without data assimilation. GPS experiment outperforms other experiments including GTS in track prediction with the smallest cross-track error. Sensitivity tests were also conducted to identify which GPS RO sounding gives more impact on track prediction. We found that the sounding closest to the cyclone exhibits the largest contribution to track prediction. Assimilation of the RO soundings in the vicinity of Gonu cyclone appears to modify the environmental conditions that result in a later development of a couplet of high and low pressure, leading to a positive impact on track prediction. Sensitivity experiments indicate that the initial information retrieved by GPS data at upper levels that produce colder temperature increments indeed contributes more improvement to track prediction. 其他題名： Nat Hazards 出版者： Dordrecht: Springer Netherlands 出版日期： 2014-01 出處： Natural hazards (Dordrecht), 2014-01, Vol.70 (2), p.1209-1230 資源來源： Agricultural & Environmental Science Collection 版權： Springer Science+Business Media Dordrecht 2013 版權： 2015 INIST-CNRS 版權： Springer Science+Business Media Dordrecht 2014 識別號： ISSN: 0921-030X 識別號： EISSN: 1573-0840 識別號： DOI: 10.1007/s11069-013-0870-0
Appears in Collections:	[Global Atmosphere Observation and Data Application Research Center] journal & Dissertation

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