Abstract
The objective of this work is to show how to derive some useful first-order model diagnostics from the prognostic variables of numerical weather prediction models. We introduce a basic set of popular diagnostics products, along with illustrations and detailed formulae, that have been adopted into various real-time applications of both tropical cyclone forecasting and hurricane model diagnostics. The diagnostic products discussed in this chapter are categorized into two types: (1) Plots of horizontal 2D fields, and (2) Time vs. height profiles of domain-averaged forecasted quantities. The diagnostic products in each of these categories provide insight into various different factors that play important roles in the time-evolution of tropical cyclones.
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Acknowledgements
The authors acknowledge funding from NOAA’s Hurricane Forecast Improvement Project that supported this work. The second author acknowledges the support provided by Indo-US Science and Technology Forum, NOAA’s Hurricane Forecast Improvement Project and various national and international collaborators who have helped improving the operational HWRF model.
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Quirino, T., Gopalakrishnan, S.G. (2016). Advanced Diagnostics for the HWRF Hurricane Modelling System. In: Mohanty, U.C., Gopalakrishnan, S.G. (eds) Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Prediction. Springer, Dordrecht. https://doi.org/10.5822/978-94-024-0896-6_20
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DOI: https://doi.org/10.5822/978-94-024-0896-6_20
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-024-0895-9
Online ISBN: 978-94-024-0896-6
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