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Numerical Weather Prediction Basics: Models, Numerical Methods, and Data Assimilation

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Abstract

Numerical weather prediction has become the most important tool for weather forecasting around the world. This chapter provides an overview of the fundamental principles of numerical weather prediction, including the numerical framework of models, numerical methods, physical parameterization, and data assimilation. Historical revolution, the recent development, and future direction are introduced and discussed.

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Author information

Authors and Affiliations

  1. Department of Atmospheric Sciences, University of Utah, Salt Lake City, UT, USA

    Zhaoxia Pu

  2. Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA

    Eugenia Kalnay

Authors
  1. Zhaoxia Pu
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  2. Eugenia Kalnay
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Corresponding author

Correspondence to Zhaoxia Pu .

Editor information

Editors and Affiliations

  1. Faculty of Geographical Science, Beijing Normal University, Beijing, China

    Qingyun Duan

  2. European Centre for Medium-Range Weather Forecasts, ECMWF, Reading, UK

    Florian Pappenberger

  3. National Center for Atmospheric Research, Boulder, CO, USA

    Andy Wood

  4. Department of Meteorology, Reading University, Reading, UK

    Hannah L. Cloke

  5. U.S. National Weather Service (retired), Annapolis, MD, USA

    John C. Schaake

Section Editor information

  1. School of Atmospheric Sciences, Nanjing University, Nanjing, Jiangsu, China

    Huiling Yuan

  2. Global Systems Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA

    Zoltan Toth

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Pu, Z., Kalnay, E. (2019). Numerical Weather Prediction Basics: Models, Numerical Methods, and Data Assimilation. In: Duan, Q., Pappenberger, F., Wood, A., Cloke, H., Schaake, J. (eds) Handbook of Hydrometeorological Ensemble Forecasting. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39925-1_11

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