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Parametric 3D atmospheric reconstruction in highly variable terrain with recycled Monte Carlo paths and an adapted Bayesian inference engine
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    Affiliations:
    1 Columbia University, Department of Applied Physics & Applied Mathematics, 500 W. 120th Street, New York, NY 10027, USA
    2 Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Mail Stop 233-200, Pasadena, CA 91109, USA
    3 Columbia University, Department of Applied Physics & Applied Mathematics, 500 W. 120th Street, New York, NY 10027, USA
    4 Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
    AIP Conf. Proc. 1531, 79 (2013); http://dx.doi.org/10.1063/1.4804712
  • Conference date: 6–10 August 2012
  • Location: Dahlem Cube, Free University, Berlin
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2013-05-10
2014-09-21
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Scitation: Parametric 3D atmospheric reconstruction in highly variable terrain with recycled Monte Carlo paths and an adapted Bayesian inference engine
http://aip.metastore.ingenta.com/content/aip/proceeding/aipcp/10.1063/1.4804712
10.1063/1.4804712
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