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Neural Network Modeling in Climate Change Studies

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Artificial Intelligence Methods in the Environmental Sciences

At present, climate change is a “hot topic”, not only in scientific analyses and papers by researchers, but also in wider discussions among economists and policy-makers.

In whatever area you are, the role of modeling appears crucial in order to understand the behavior of the climate system and to grasp its complexity. Furthermore, once validated on the past, a model represents the only chance to make projections about the future behavior of the climate system.

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Author information

Authors and Affiliations

  1. CNR – Institute of Atmospheric Pollution, Via Salaria Km 29.300, Rome, I-00016 Monterotondo Stazione, Italy

    Antonello Pasini

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  1. Antonello Pasini
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Correspondence to Antonello Pasini .

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Editors and Affiliations

  1. Applied Research Laboratory, Pennsylvania State University, Box 30, State College, PA, 16804-0030, USA

    Sue Ellen Haupt

  2. Institute of Atmospheric Pollution, National Research Council, Via Salaria Km. 29.300, Monterotondo Stazione, Rome, 00016, Italy

    Antonello Pasini

  3. Dept. of Statistics, University of Washington and the Applied Physics Laboratory, Box 354322, Seattle, WA, 98195-4322, USA

    Caren Marzban

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Pasini, A. (2009). Neural Network Modeling in Climate Change Studies. In: Haupt, S.E., Pasini, A., Marzban, C. (eds) Artificial Intelligence Methods in the Environmental Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9119-3_12

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