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Inverse Methods for Atmospheric Sounding: Theory and Practice

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TLDR
This book treats the inverse problem of remote sounding comprehensively, and discusses a wide range of retrieval methods for extracting atmospheric parameters of interest from the quantities such as thermal emission that can be measured remotely.
Abstract
Remote sounding of the atmosphere has proved to be a fruitful method of obtaining global information about the atmospheres of the earth and planets. This book treats the inverse problem of remote sounding comprehensively, and discusses a wide range of retrieval methods for extracting atmospheric parameters of interest from the quantities such as thermal emission that can be measured remotely. Inverse theory is treated in depth from an estimation-theory point of view, but practical questions are also emphasized, for example designing observing systems to obtain the maximum quantity of information, efficient numerical implementation of algorithms for processing of large quantities of data, error analysis and approaches to the validation of the resulting retrievals, The book is targeted at both graduate students and working scientists.

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Robust Characterization of Model Physics Uncertainty for Simulations of Deep Moist Convection

TL;DR: In this paper, a Markov chain Monte Carlo algorithm is employed to examine how changes in cloud microphysical parameters map to changes in output precipitation, liquid and ice water path, and radiative fluxes for an idealized deep convective squall line.
Journal ArticleDOI

Capability of multi-viewing-angle photo-polarimetric measurements for the simultaneous retrieval of aerosol and cloud properties

TL;DR: In this paper, the possibility of simultaneous retrieval of aerosol and cloud properties for partly cloudy scenes and for fully cloudy scenes where the aerosol layer is located above the cloud, using multi-angle photo-polarimetric measurements was explored.
Journal ArticleDOI

Quantifying Time-Averaged Methane Emissions from Individual Coal Mine Vents with GHGSat-D Satellite Observations

TL;DR: The GHGSat-D satellite instrument is used to quantify mean source rates for three coal mine vents over a two-year period to demonstrate the potential of space-based monitoring for annual reporting of methane emissions from point sources, and suggest that future satellite instruments with similar pixel resolution but better precision should be able to constrain a wide range of point sources.
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