Determination of uncertainty profiles in neutral atmospheric properties measured by radio occultation experiments. (arXiv:2110.09448v1 [astro-ph.EP])
<a href="http://arxiv.org/find/astro-ph/1/au:+Bourgoin_A/0/1/0/all/0/1">Adrien Bourgoin</a> (1 and 2), <a href="http://arxiv.org/find/astro-ph/1/au:+Gramigna_E/0/1/0/all/0/1">Edoardo Gramigna</a> (3), <a href="http://arxiv.org/find/astro-ph/1/au:+Zannoni_M/0/1/0/all/0/1">Marco Zannoni</a> (3 and 4), <a href="http://arxiv.org/find/astro-ph/1/au:+Casajus_L/0/1/0/all/0/1">Luis Gomez Casajus</a> (4), <a href="http://arxiv.org/find/astro-ph/1/au:+Tortora_P/0/1/0/all/0/1">Paolo Tortora</a> (3 and 4) ((1) SYRTE, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités, UPMC Univ. Paris 06, LNE, Paris, France, (2) Département d'Astrophysique-AIM, CEA/DRF/IRFU, CNRS/INSU, Université Paris-Saclay, Université de Paris, Gif-sur-Yvette, France, (3) Dipartimento di Ingegneria Industriale, Alma Mater Studiorum – Università di Bologna, Forlì, Italy, (4) Centro Interdipartimentale di Ricerca Industriale Aerospaziale (CIRI AERO), Alma Mater Studiorum – Università di Bologna, Forlì, Italy)
Radio occultations are commonly used to assess remotely atmospheric
properties of planets or satellites within the solar system. The data
processing usually involves the so-called Abel inversion method or the
numerical ray-tracing technique. Both are now well established, however, they
do not allow to easily determine the uncertainty profiles in atmospheric
properties, and this makes results difficult to interpret statistically.
Recently, a purely analytical approach based on the time transfer functions
formalism was proposed for modeling radio occultation data. Using this
formulation, we derive uncertainty relationships between the frequency shift
and neutral atmosphere properties such as temperature, pressure, and neutral
number density. These expressions are relevant for interpreting previous
results from past radio occultation experiments and for deriving the system
requirements for future missions in a rigorous manner, and consistently with
the scientific requirements about the atmospheric properties retrieval.
Radio occultations are commonly used to assess remotely atmospheric
properties of planets or satellites within the solar system. The data
processing usually involves the so-called Abel inversion method or the
numerical ray-tracing technique. Both are now well established, however, they
do not allow to easily determine the uncertainty profiles in atmospheric
properties, and this makes results difficult to interpret statistically.
Recently, a purely analytical approach based on the time transfer functions
formalism was proposed for modeling radio occultation data. Using this
formulation, we derive uncertainty relationships between the frequency shift
and neutral atmosphere properties such as temperature, pressure, and neutral
number density. These expressions are relevant for interpreting previous
results from past radio occultation experiments and for deriving the system
requirements for future missions in a rigorous manner, and consistently with
the scientific requirements about the atmospheric properties retrieval.
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