Published May 15, 2005 | Version v1
Journal article

Atmospheric weighting functions and surface partial derivatives for remote sensing of scattering planetary atmospheres in thermal spectral region: general adjoint approach

  • 1. Jet Propulsion Laboratory, California Institute of Technology, Mail Stop 169-237, 4800 Oak Grove Drive, Pasadena, CA 91109 (United States)

Description

An approach to formulation of inversion algorithms for remote sensing in the thermal spectral region in the case of a scattering planetary atmosphere, based on the adjoint equation of radiative transfer (Ustinov (JQSRT 68 (2001) 195; JQSRT 73 (2002) 29); referred to as Papers 1 and 2, respectively, in the main text), is applied to the general case of retrievals of atmospheric and surface parameters for the scattering atmosphere with nadir viewing geometry. Analytic expressions for corresponding weighting functions for atmospheric parameters and partial derivatives for surface parameters are derived. The case of pure atmospheric absorption with a scattering underlying surface is considered and convergence to results obtained for the non-scattering atmospheres (Ustinov (JQSRT 74 (2002) 683), referred to as Paper 3 in the main text) is demonstrated

Additional details

Identifiers

DOI
10.1016/j.jqsrt.2004.08.003;
PII
S0022-4073(04)00309-7;

Publishing Information

Journal Title
Journal of Quantitative Spectroscopy and Radiative Transfer
Journal Volume
92
Journal Issue
3
Journal Page Range
p. 351-371
ISSN
0022-4073
CODEN
JQSRAE

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
37039188
Subject category
S73: NUCLEAR PHYSICS AND RADIATION PHYSICS;
Descriptors DEI
ABSORPTION; ALGORITHMS; CONVERGENCE; GEOMETRY; PLANETARY ATMOSPHERES; RADIANT HEAT TRANSFER; REMOTE SENSING; SCATTERING; SENSITIVITY ANALYSIS; SURFACES; WEIGHTING FUNCTIONS
Descriptors DEC
ATMOSPHERES; ENERGY TRANSFER; FUNCTIONS; HEAT TRANSFER; MATHEMATICAL LOGIC; MATHEMATICS; SORPTION

Optional Information

Copyright
Copyright (c) 2005 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.