Inverting gas-surface interaction parameters from Fourier drag-coefficient estimates for a given atmospheric model
نویسندگان
چکیده
Satellite drag-coefficient is a highly dynamic parameter that captures the physics of interactions between atmosphere and satellite surface. Physical models, known as Gas-Surface Interaction Models (GSIMs), can be used to compute time variations in orbit. But many input parameters such models are not accurately, consequently introduce uncertainties drag-coefficient. This work outlines framework invert GSIM from estimates obtained during orbit determination, under assumption atmospheric density. The Fourier developed previously by authors, model filtering methodology. These allow estimation higher-order frequencies functions orbital attitudinal variations. In this work, it demonstrated information about estimated drag-coefficients. To end, an extensive observability analysis carried determine coefficients tracking data.
منابع مشابه
Inverting for geophysical parameters from IMG radiances
Radiances observed by the Interferometric Monitor for Greenhouse gases sounder have been used to retrieve temperature, water vapor, and ozone profiles. It is shown that the sounder allows us to simultaneously retrieve stable solutions for temperature and water vapor. Once water vapor and temperature have been retrieved, ozone profile may be estimated on the same fine vertical mesh as water vapo...
متن کاملA Three-Coefficient Model with Global Optimization for Heavy End Characterization of Gas Condensate PVT Data
Characterization of heavy end, as plus fraction, is among the most crucial steps in predicting phase behavior of a hydrocarbon fluid system. Proper selection of single carbon number (SCN) distribution function is essential for heavy end characterization. The SCN distribution function is subject to fluid nature. The exponential distribution function has been and is widely applied to gas condensa...
متن کاملMaximum likelihood estimation of covariance parameters for Bayesian atmospheric trace gas surface flux inversions
[1] This paper introduces a Maximum Likelihood (ML) approach for estimating the statistical parameters required for the covariance matrices used in the solution of Bayesian inverse problems aimed at estimating surface fluxes of atmospheric trace gases. The method offers an objective methodology for populating the covariance matrices required in Bayesian inversions, thereby resulting in better e...
متن کاملCoefficient estimates for a subclass of analytic and bi-univalent functions
In this paper, we introduce and investigate a subclass of analytic and bi-univalent functions in the open unit disk. Upper bounds for the second and third coefficients of functions in this subclass are founded. Our results, which are presented in this paper, generalize and improve those in related works of several earlier authors.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Space Research
سال: 2021
ISSN: ['0273-1177', '1879-1948']
DOI: https://doi.org/10.1016/j.asr.2021.04.010