Publication Abstracts

Benedetti et al. 2014

Benedetti, A., J.M. Baldasano, S. Basart, F. Benincasa, O. Boucher, M.E. Brooks, J.-P. Chen, P.R. Colarco, S. Gong, N. Huneeus, L. Jones, S. Lu, L. Menut, J.-J. Morcrette, J. Mulcahy, S. Nickovic, C. Pérez García-Pando, J.S. Reid, T.T. Sekiyama, T.Y. Tanaka, E. Terradellas, D.L. Westphal, X.-Y. Zhang, and C.-H. Zhou, 2014: Operational dust prediction. In Mineral Dust: A Key Player in the Earth System. P. Knippertz and J.-B.W. Stuut, Eds. Springer, pp. 223-265, doi:10.1007/978-94-017-8978-3_10.

Over the last few years, numerical prediction of dust aerosol concentration has become prominent at several research and operational weather centres due to growing interest from diverse stakeholders, such as solar energy plant managers, health professionals, aviation and military authorities and policymakers. Dust prediction in numerical weather prediction-type models faces a number of challenges owing to the complexity of the system. At the centre of the problem is the vast range of scales required to fully account for all of the physical processes related to dust. Another limiting factor is the paucity of suitable dust observations available for model, evaluation and assimilation. This chapter discusses in detail numerical prediction of dust with examples from systems that are currently providing dust forecasts in near real-time or are part of international efforts to establish daily provision of dust forecasts based on multi-model ensembles. The various models are introduced and described along with an overview on the importance of dust prediction activities and a historical perspective. Assimilation and evaluation aspects in dust prediction are also discussed.

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BibTeX Citation

  author={Benedetti, A. and Baldasano, J. M. and Basart, S. and Benincasa, F. and Boucher, O. and Brooks, M. E. and Chen, J.-P. and Colarco, P. R. and Gong, S. and Huneeus, N. and Jones, L. and Lu, S. and Menut, L. and Morcrette, J.-J. and Mulcahy, J. and Nickovic, S. and Pérez García-Pando, C. and Reid, J. S. and Sekiyama, T. T. and Tanaka, T. Y. and Terradellas, E. and Westphal, D. L. and Zhang, X.-Y. and Zhou, C.-H.},
  editor={Knippertz, P. and Stuut, J.-B. W.},
  title={Operational dust prediction},
  booktitle={Mineral Dust: A Key Player in the Earth System},
  address={Dordrecht, the Netherlands},

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RIS Citation

ID  - be08100s
AU  - Benedetti, A.
AU  - Baldasano, J. M.
AU  - Basart, S.
AU  - Benincasa, F.
AU  - Boucher, O.
AU  - Brooks, M. E.
AU  - Chen, J.-P.
AU  - Colarco, P. R.
AU  - Gong, S.
AU  - Huneeus, N.
AU  - Jones, L.
AU  - Lu, S.
AU  - Menut, L.
AU  - Morcrette, J.-J.
AU  - Mulcahy, J.
AU  - Nickovic, S.
AU  - Pérez García-Pando, C.
AU  - Reid, J. S.
AU  - Sekiyama, T. T.
AU  - Tanaka, T. Y.
AU  - Terradellas, E.
AU  - Westphal, D. L.
AU  - Zhang, X.-Y.
AU  - Zhou, C.-H.
ED  - Knippertz, P.
ED  - Stuut, J.-B. W.
PY  - 2014
TI  - Operational dust prediction
BT  - Mineral Dust: A Key Player in the Earth System
SP  - 223
EP  - 265
DO  - 10.1007/978-94-017-8978-3_10
PB  - Springer
CY  - Dordrecht, the Netherlands
ER  -

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