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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.read more
Citations
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Journal ArticleDOI
Iodine monoxide in the north subtropical free troposphere
Olga Puentedura,Manuel Gil,Alfonso Saiz-Lopez,T. D. Hay,Mónica Navarro-Comas,A. J. Gomez-Pelaez,Emilio Cuevas,J. Iglesias,Laura Gómez +8 more
TL;DR: In this article, Iodine monoxide (IO) differential slant column densities (DSCD) have been retrieved from a new multi-axis differential optical absorption spectroscopy (MAX-DOAS) instrument deployed at the Izana subtropical observatory as part of the Network for the Detection of Atmospheric Composition Change (NDACC) programme.
Journal ArticleDOI
Smoothing error pitfalls
TL;DR: In this paper, it is shown that the concept of smoothing error as a component of the retrieval error budget is questionable because it is not compliant with Gaussian error propagation, and that the smoothing errors do not represent the expected deviation of the retrieved data from the true state but the expected deviations of the extracted data from a grid sampled on an arbitrary grid, which is itself a smoothed representation of the true data.
Journal ArticleDOI
Atmospheric inverse modeling with known physical bounds: an example from trace gas emissions
TL;DR: In this article, the applicability of several approaches to bounded inverse problems is investigated, including Lagrange multipliers and two Markov chain Monte Carlo (MCMC) methods, for the analysis of US anthropogenic methane emissions.
Journal ArticleDOI
Optimal estimation of spectral surface reflectance in challenging atmospheres
David R. Thompson,K.N. Babu,Amy Braverman,Michael L. Eastwood,Robert O. Green,Jonathan Hobbs,Jeffrey Jewell,Bruce C. Kindel,Steven T. Massie,Manoj Kumar Mishra,A. K. Mathur,Vijay Natraj,Philip A. Townsend,Felix C. Seidel,Michael Turmon +14 more
TL;DR: In this paper, the authors quantify retrieval accuracy and information content for both reflectance and aerosols over different surface types, comparing results to in situ and remote references, and assess uncertainty of maximum a posteriori solutions using linearized estimates as well as sampling-based inversions that more completely characterize posterior uncertainties.
Journal ArticleDOI
Decomposing CO2 fluxes measured over a mixed ecosystem at a tall tower and extending to a region: A case study
TL;DR: In this paper, CO2 fluxes for six stand types are inferred by decomposing eddy-covariance (EC) fluxes measured at a 447m tower using footprint models and ecosystem models in a case study.
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