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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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https://doi.org/10.5194/amt-2017-105
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
21 Apr 2017
Review status
This discussion paper is under review for the journal Atmospheric Measurement Techniques (AMT).
Correcting negatively-biased refractivity below ducts in GNSS radio occultation: An optimal estimation approach towards improving planetary boundary layer (PBL) characterization
Kuo-Nung Wang1, Manuel de la Torre Juarez1, Chi O. Ao1, and Feiqin Xie2 1Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
2Texas A & M University - Corpus Christi, 6300 Ocean Dr., Corpus Christi, TX 78412, USA
Abstract. GNSS radio occultation (RO) measurements are promising in sensing the vertical structure of the Earth’s planetary boundary layer (PBL). However, large refractivity changes near the top of PBL can cause ducting and lead to a negative bias in the retrieved refractivity within the PBL (below ~ 2 km). To remove the bias, a reconstruction method with assumption of linear structure inside the ducting layer models has been proposed by Xie et al. (2006). While the negative bias can be reduced drastically as demonstrated in the simulation, the lack of high-quality surface refractivity constraint makes its application to real RO data difficult. In this paper, we use the widely available precipitable water (PW) satellite observation as the external constraint for the bias correction. A new framework is proposed to incorporate optimization into the RO reconstruction retrievals in the presence of ducting condition. The new method uses optimal estimation to select the best refractivity solution whose precipitable water (PW) and PBL height best match the external PW measurements and the known a-priori, respectively. The near coincident PW measurements from AMSR-E microwave radiometer instruments are used as an external observational constraint. This new reconstruction method is tested on both the simulated GNSS-RO profiles and the actual GNSS-RO data. Our results show that the proposed method can greatly reduce the negative refractivity bias when compared to traditional Abel inversion.

Citation: Wang, K.-N., de la Torre Juarez, M., Ao, C. O., and Xie, F.: Correcting negatively-biased refractivity below ducts in GNSS radio occultation: An optimal estimation approach towards improving planetary boundary layer (PBL) characterization, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2017-105, in review, 2017.
Kuo-Nung Wang et al.
Kuo-Nung Wang et al.
Kuo-Nung Wang et al.

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Short summary
Refractivity retrievals from GNSS radio occultation (RO) are known to be negatively biased within the planetary boundary layer (PBL). We propose an optimization-based reconstruction method in this paper to correct the negative bias with external measurements of precipitable water (PW). Our results show that the proposed method can greatly reduce the bias and better characterize the PBL.
Refractivity retrievals from GNSS radio occultation (RO) are known to be negatively biased...
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