Analysis of selected Solar events with Mars Express radio occultation data 

2021 ◽  
Author(s):  
Özgür Karatekin ◽  
Ananya Krishnan ◽  
Nayeem Ebrahimkutty ◽  
Greg Henry ◽  
Ahmed El Fadhel ◽  
...  
Keyword(s):  
Radio Occultation ◽  
Mars Express ◽  
Solar Events ◽  
Occultation Data ◽  
Radio Occultation Data

Analysis of solar events with Mars Express radio occultation data

2020 ◽  
Author(s):  
Özgür Karatekin ◽  
Ananya Krishnan ◽  
Julien Drevon ◽  
Ahmed El Fadhel ◽  
Nicolas Bergeot ◽  
...  
Keyword(s):  
Radio Occultation ◽  
Mars Express ◽  
Solar Events ◽  
Occultation Data ◽  
Radio Occultation Data

scholarly journals Mars Express radio‐occultation data: A novel analysis approach

2014 ◽  
Vol 119 (12) ◽  
Author(s):  
M. Grandin ◽  
P.‐L. Blelly ◽  
O. Witasse ◽  
A. Marchaudon
Keyword(s):  
Radio Occultation ◽  
Analysis Approach ◽  
Mars Express ◽  
Occultation Data ◽  
Radio Occultation Data

scholarly journals Reply to comment by Pätzold et al. on “Mars Express radio-occultation data: A novel analysis approach”

2016 ◽  
Vol 121 (10) ◽  
pp. 10,592-10,598 ◽  
Author(s):  
M. Grandin ◽  
P.-L. Blelly ◽  
O. Witasse ◽  
A. Marchaudon
Keyword(s):  
Radio Occultation ◽  
Analysis Approach ◽  
Mars Express ◽  
Occultation Data ◽  
Radio Occultation Data

Comment on the paper “Mars Express radio occultation data: A novel analysis approach” by Grandin et al. (2014)

2016 ◽  
Vol 121 (10) ◽  
pp. 10,578-10,591
Author(s):  
M. Pätzold ◽  
M. K. Bird ◽  
B. Häusler ◽  
K. Peter ◽  
S. Tellmann ◽  
...  
Keyword(s):  
Radio Occultation ◽  
Analysis Approach ◽  
Mars Express ◽  
Occultation Data ◽  
Radio Occultation Data

A global 3-D electron density reconstruction model based on radio occultation data and neural networks

2021 ◽  
pp. 105702
Author(s):  
John Bosco Habarulema ◽  
Daniel Okoh ◽  
Dalia Burešová ◽  
Babatunde Rabiu ◽  
Mpho Tshisaphungo ◽  
...  
Keyword(s):  
Neural Networks ◽  
Electron Density ◽  
Radio Occultation ◽  
Model Based ◽  
Occultation Data ◽  
Reconstruction Model ◽  
Radio Occultation Data

Plasmaspheric scale height modeling based on COSMIC radio occultation data

2021 ◽  
pp. 105555
Author(s):  
Mengjie Wu ◽  
Xu Xu ◽  
Fenghui Li ◽  
Peng Guo ◽  
Naifeng Fu
Keyword(s):  
Radio Occultation ◽  
Scale Height ◽  
Cosmic Radio ◽  
Occultation Data ◽  
Radio Occultation Data

VALIDATION OF FY-3 MWTS CHANNEL 4 MEASUREMENTS USING COSMIC RADIO OCCULTATION DATA

2017 ◽  
Vol 60 (4) ◽  
pp. 384-392
Author(s):  
HE Wen-Ying ◽  
CHEN Hong-Bin
Keyword(s):  
Radio Occultation ◽  
Cosmic Radio ◽  
Occultation Data ◽  
Radio Occultation Data

Analyzing the Diurnal Cycle by Bayesian Interpolation on a Sphere for Mapping GNSS Radio Occultation Data

2021 ◽  
Vol 38 (5) ◽  
pp. 951-961
Author(s):  
Stephen S. Leroy ◽  
Chi O. Ao ◽  
Olga P. Verkhoglyadova ◽  
Mayra I. Oyola
Keyword(s):  
Diurnal Cycle ◽  
Radio Occultation ◽  
Basis Functions ◽  
Atmospheric Tides ◽  
Spherical Harmonic Degree ◽  
Construct Maps ◽  
Bayesian Interpolation ◽  
Occultation Data ◽  
High Degree ◽  
Radio Occultation Data

AbstractBayesian interpolation has previously been proposed as a strategy to construct maps of radio occultation (RO) data, but that proposition did not consider the diurnal dimension of RO data. In this work, the basis functions of Bayesian interpolation are extended into the domain of the diurnal cycle, thus enabling monthly mapping of radio occultation data in synoptic time and analysis of the atmospheric tides. The basis functions are spherical harmonics multiplied by sinusoids in the diurnal cycle up to arbitrary spherical harmonic degree and diurnal cycle harmonic. Bayesian interpolation requires a regularizer to impose smoothness on the fits it produces, thereby preventing the overfitting of data. In this work, a formulation for the regularizer is proposed and the most probable values of the parameters of the regularizer determined. Special care is required when obvious gaps in the sampling of the diurnal cycle are known to occur in order to prevent the false detection of statistically significant high-degree harmonics of the diurnal cycle in the atmosphere. Finally, this work probes the ability of Bayesian interpolation to generate a valid uncertainty analysis of the fit. The postfit residuals of Bayesian interpolation are dominated not by measurement noise but by unresolved variability in the atmosphere, which is statistically nonuniform across the globe, thus violating the central assumption of Bayesian interpolation. The problem is ameliorated by constructing maps of RO data using Bayesian interpolation that partially resolve the temporal variability of the atmosphere, constructing maps for approximately every 3 days of RO data.

scholarly journals Improvement of Rainfall Forecast by Assimilations of Ground-Based GPS Data and Radio Occultation Data

SOLA ◽  
2010 ◽  
Vol 6 ◽  
pp. 81-84 ◽  
Author(s):  
Hiromu Seko ◽  
Masaru Kunii ◽  
Yoshinori Shoji ◽  
Kazuo Saito
Keyword(s):  
Radio Occultation ◽  
Gps Data ◽  
Rainfall Forecast ◽  
Occultation Data ◽  
Radio Occultation Data
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