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Abstract
Author(s) -
Chittapon Nowarit,
Nuttapol Pattamin,
Nowarit Chittapon,
Supawadee Suppadungsuk,
Kulapong Jayanama,
Somnuek Sungkanuparph,
Adisorn Pathumarak,
Ittikorn Spanuchart,
Eakkapat Chanrat,
Pannawat Mongkolrattanakul,
Kittiphan Chienwichai,
Kanin Thammavaranucupt,
Veerapatr Nimkietkajorn,
Sadudee Peerapornratana,
Kamol Khositrangsikun,
Theerapon Sukmark,
Petchdee Oranrigsupak,
Thathsalang Keobounma,
Wanjak Pongsittisak,
Watanyu Parapiboon,
Nuttha Lumlertgul,
; Sea-Rrt,
Jeerath Phannajit,
Anan Chuasuwan,
Ratapum Champunot,
Sadudee Peerapornrattana,
Kearkiat Praditpornsipa,
Kriang Tungsanga,
Chamanant Satja,
Napun Sutharattanapong,
Akharawait Pulsombat,
Bunyong Phakdeekitcharoen,
Arkom gnuch,
Weerapat Papanrueng
Publication year - 2020
Publication title -
nephrology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 61
eISSN - 1440-1797
pISSN - 1320-5358
DOI - 10.1111/nep.13823
Subject(s) - medicine
Central Weather Bureau (CWB) of Taiwan has conducted impact study for the FORMOSAT7/COSMIC-2 Global Navigation Satellite System (GNSS) Radio Occultation (RO) data with its operational CWB Global Forecast System (CWBGFS). A parallel semi-operational experiment assimilating the FORMOSAT-7/COSMIC-2 bending angle data in addition to all other operational data stream has been conducted in near real time for more than seven months since only one month after the satellite launch. Consistent positive impacts on the global forecast skills have been observed since the start of the parallel experiment, with the largest impact found in the tropical region, well reflecting the low-inclination orbital design of the satellites. The Ensemble Forecast Sensitivity to Observation Impact (EFSOI) method is applied to the FORMOSAT-7/COSMIC-2 assimilation, estimating an average positive impact per observation datum similar to the other existing GNSS RO products, while the total impact of the FORMOSAT-7/COSMIC-2 data is impressive due to its large amount. In addition, sensitivity experiments suggest that the current quality control processes built in the Gridpoint Statistical Interpolation (GSI) system for GNSS RO data work reasonably well to deal with the FORMOSAT-7/COSMIC-2 data down to the surface. This study concludes the usefulness of the FORMOSAT-7/COSMIC-2 data in global numerical weather prediction during the calibration/validation period and leads to the operational use of the data at CWB.