HR: 0800h
AN: NG31B-0878    [Abstracts]
TI: On Numerical Recovery of the Cloud Moisture Structure Using Radiometric Measurements. Nonlinear Technique Solution of the Inverse Problem
AU: * Zholudev, V D
EM: vzholudev@netscape.net
AF: Unaffiliated Individual, 1734 Estudillo St., Martinez, CA 94553 United States
AU: Streltsov, Y P
EM: chari@inbox.ru
AF: Association of Scientists of Korolev City, 1a Udarnik Passage, Korolev, 141070 Russian Federation
AU: Chulichkov, A
EM: chul@ccp.phys.msu.su
AF: Moscow State University, Vorob'evy Gory, Moscow, 119899 Russian Federation
AB: Is it real to obtain a solution of a non-linear inverse problem without seeking an inverse operator but making only several simple iterations? Yes, it is possible, and the technique of [Streltsov] allows it without needs of hard work to find regularization parameters to get a stable solution. This method is also effective for remote sensing problems in which amount of measurements is less than amount of recovered parameters and additional a priory information is needed. In this work results and discussion of numerical simulation are shown of applying the technique to find solutions for a wide class of non-linear inverse problem. As an example, to formulate a problem, artificial UV radiometric data set formed by using two aircraft antennas with mutually transverse directions is constructed. For demonstration of numerical calculation results, parameters of m=40 and n=210 are chosen where m is dimension of sensor data and n is dimension of reconstructed physical profile. Reference Streltsov, Yuly. Nonlinear inverse problem. Recurrent technique. Natural and Technical Science, No.1. Moscow, 2004.
DE: 3260 Inverse theory
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0320 Cloud physics and chemistry
SC: Nonlinear Geophysics [NG]
MN: 2004 AGU Fall Meeting