scholarly journals Detection of migrating diurnal tide in the tropical upper troposphere and lower stratosphere using the Challenging Minisatellite Payload radio occultation data

2008 ◽  
Vol 113 (D3) ◽  
Author(s):  
Zhen Zeng ◽  
William Randel ◽  
Sergey Sokolovskiy ◽  
Clara Deser ◽  
Ying-Hwa Kuo ◽  
...  
Keyword(s):  
Radio Occultation ◽  
Lower Stratosphere ◽  
Diurnal Tide ◽  
Upper Troposphere ◽  
Occultation Data ◽  
Radio Occultation Data ◽  
Tropical Upper Troposphere

scholarly journals Observing upper troposphere–lower stratosphere climate with radio occultation data from the CHAMP satellite

2007 ◽  
Vol 31 (1) ◽  
pp. 49-65 ◽  
Author(s):  
Ulrich Foelsche ◽  
Michael Borsche ◽  
Andrea K. Steiner ◽  
Andreas Gobiet ◽  
Barbara Pirscher ◽  
...  
Keyword(s):  
Radio Occultation ◽  
Lower Stratosphere ◽  
Upper Troposphere ◽  
Champ Satellite ◽  
Occultation Data ◽  
Radio Occultation Data

scholarly journals GNSS Radio Occultation Constellation Observing System Experiments

2014 ◽  
Vol 142 (2) ◽  
pp. 555-572 ◽  
Author(s):  
Peter Bauer ◽  
Gábor Radnóti ◽  
Sean Healy ◽  
Carla Cardinali
Keyword(s):  
Radio Occultation ◽  
Lower Stratosphere ◽  
Satellite System ◽  
Model Bias ◽  
Upper Troposphere ◽  
Aircraft Observations ◽  
Data Volume ◽  
Occultation Data ◽  
Global Navigation Satellite ◽  
Radio Occultation Data

Abstract Observing system experiments within the operational ECMWF data assimilation framework have been performed for summer 2008 when the largest recorded number of Global Navigation Satellite System (GNSS) radio occultation observations from both operational and experimental satellites were available. Constellations with 0%, 5%, 33%, 67%, and 100% data volume were assimilated to quantify the sensitivity of analysis and forecast quality to radio occultation data volume. These observations mostly constrain upper-tropospheric and stratospheric temperatures and correct an apparent model bias that changes sign across the upper-troposphere–lower-stratosphere boundary. This correction effect does not saturate with increasing data volume, even if more data are assimilated than available in today’s analyses. Another important function of radio occultation data, namely, the anchoring of variational radiance bias corrections, is demonstrated in this study. This effect also does not saturate with increasing data volume. In the stratosphere, the anchoring by radio occultation data is stronger than provided by radiosonde and aircraft observations.

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
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