Estimating the refractivity bias of FORMOSAT-7/COSMIC-2 Global Navigation Satellite System (GNSS) radio occultation in the deep troposphere
Abstract FORMOSAT-7/COSMIC-2 radio occultation (RO) measurements show promise for observing the deep troposphere and for providing critical information on the Earth's planetary boundary layer (PBL). However, refractivity retrieved in the low troposphere can have severe biases under certain thermodynamic conditions. This research examines the characteristics of the deep tropospheric biases and presents methods for estimating the region-dependent refractivity bias using statistical regression models. The results show that the biases have characteristics that vary over land and oceans. With substantial correlation between local spectral width (LSW) and bias, the LSW-based bias estimation model can explain the general pattern of the refractivity bias but with deficiencies in measuring the bias in the ducting regions and in certain areas over land. The estimation model involving the relationship with temperature and specific humidity (TQ) can capture the large biases associated with ducting. Finally, a minimum variance estimation that combines the LSW and TQ provides the most accurate estimation of the refractivity bias.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Estimating the refractivity bias of FORMOSAT-7/COSMIC-2 Global Navigation Satellite System (GNSS) radio occultation in the deep troposphere ; volume:17 ; number:11 ; year:2024 ; pages:3605-3623 ; extent:19
Atmospheric measurement techniques ; 17, Heft 11 (2024), 3605-3623 (gesamt 19)
- Creator
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Pham, Gia Huan
Yang, Shu-Chih
Chang, Chih-Chien
Chen, Shu-Ya
Huang, Cheng Yung
- DOI
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10.5194/amt-17-3605-2024
- URN
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urn:nbn:de:101:1-2408051454126.782867282378
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:58 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Pham, Gia Huan
- Yang, Shu-Chih
- Chang, Chih-Chien
- Chen, Shu-Ya
- Huang, Cheng Yung
Other Objects (12)
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Impact of assimilating Formosat-7/COSMIC-II GNSS radio occultation data on heavy rainfall prediction in Taiwan
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Estimating the refractivity bias of Formosat-7/COSMIC-II GNSS Radio Occultation in the planetary boundary layer
An Overview on GNSS Radio Occultation
GNSS troposphere tomography based on two-step reconstructions using GPS observations and COSMIC profiles
Comparison of three retrievals of COSMIC GPS radio occultation results in the tropical upper troposphere and lower stratosphere
Impact of assimilating Formosat-7/COSMIC-II GNSS radio occultation data on heavy rainfall prediction in Taiwan
Observing atmospheric rivers using GNSS radio occultation data
Assimilation of GNSS radio occultation observations in GRAPES
Wave-optics uncertainty propagation and regression-based bias model in GNSS radio occultation bending angle retrievals
Wave-optics uncertainty propagation and regression-based bias model in GNSS radio occultation bending angle retrievals
Characteristics of the tropical tropopause inversion layer using high-resolution temperature profiles retrieved from COSMIC GNSS Radio Occultation
Ionospheric correction of GPS radio occultation data in the troposphere
Assessment of GNSS radio occultation refractivity under heavy precipitation
Estimating the refractivity bias of Formosat-7/COSMIC-II GNSS Radio Occultation in the planetary boundary layer
An Overview on GNSS Radio Occultation
GNSS troposphere tomography based on two-step reconstructions using GPS observations and COSMIC profiles
Comparison of three retrievals of COSMIC GPS radio occultation results in the tropical upper troposphere and lower stratosphere
Impact of assimilating Formosat-7/COSMIC-II GNSS radio occultation data on heavy rainfall prediction in Taiwan
Observing atmospheric rivers using GNSS radio occultation data
Assimilation of GNSS radio occultation observations in GRAPES
Wave-optics uncertainty propagation and regression-based bias model in GNSS radio occultation bending angle retrievals
Wave-optics uncertainty propagation and regression-based bias model in GNSS radio occultation bending angle retrievals
Characteristics of the tropical tropopause inversion layer using high-resolution temperature profiles retrieved from COSMIC GNSS Radio Occultation
Ionospheric correction of GPS radio occultation data in the troposphere