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Ecological Modelling[removed]–18 A new synergetic paradigm in environmental numerical modeling: Hybrid models combining deterministic and machine learning components Vladimir M. Krasnopolsky a,b,∗ , Michael S. F
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Document Date: 2005-12-06 10:33:05


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City

Schoendorf / /

Company

USA Science Application International Corporation / Elsevier B.V. / /

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Facility

College Park / University of Maryland / /

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IndustryTerm

chemical reactions / Atmospheric applications / environmental satellite data processing / multidimensional systems / environmental physical/chemical processes / chemical processes / chemical and biological processes / spectral energy / physical/chemical parameterizations / neural networks / generic tool / /

NaturalFeature

Mean sea / /

Organization

ENMs / Earth System Science Interdisciplinary Center / National Center for Atmospheric Research / NCAR CAM / National Oceanic and Atmospheric Administration / National Aeronautics and Space Administration / University of Maryland / College Park / NSIPP / European Centre for Medium-range Weather Forecasting / /

Person

Camp Springs / Michael S. Fox-Rabinovitz / NCAR CAM / Snl / NSIPP GCM / Vladimir M. Krasnopolsky / /

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Position

model / corresponding original model / determin∗ Corresponding author / representative data sets / representative / Community Atmospheric Model / /

Product

NNs / /

ProvinceOrState

Maryland / /

PublishedMedium

Journal of Climate / Atmospheric Research / /

Technology

radiation / neural network / fluid dynamics / machine learning / simulation / /

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