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Substituting radiative transfer modelling in the thermal infrared by neural networks

Introduction and motivation Basics of land surface temperature retrieval Single Channel Method Neural network instead of MODTRAN ? Outlook and conclusions. Introduction and Motivation. 2764800 situations per day. 1: Global Circulation Model; European Centre of Medium-range Weather Forecasts (ECMWF)2: Moderate Resolution Transmittance Code; Air Force Geophysics Laboratory .

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Substituting radiative transfer modelling in the thermal infrared by neural networks

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    7. Neural network (NN) instead of MODTRAN ?

    8. Feed-forward NNs

    9. Training and validation data MODTRAN calculations for 4032 situations: 84 atmospheric profiles 4 LSTs 4 surface heights 3 observation angles 1 emissivity (0.975) Atmospheres: TOVS Initial Guess Retrieval (TIGR*) About 1700 representative radiosondes selected from > 200.000 (globally) 84 profiles selected for central Europe: 68 for training 16 for validation

    10. Training using TIGR profiles

    22. Training using Resilient Propagation (RProp)

    33. Validierung & Test des neuronalen Netzes

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