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Advancements in Combining Datasets for In-Flight Icing Diagnoses
Technical Paper
2015-01-2137
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Advancements in numerical weather prediction (NWP) models continue to enhance the quality of in-flight icing forecasts and diagnoses. When diagnosing current in-flight icing conditions, observational datasets are combined with NWP model output to form a more accurate representation of those conditions. Surface observations are heavily relied upon to identify cloud coverage and cloud base height above observing stations. One of the major challenges of using these point-based or otherwise limited observations of cloud properties is extending the influence of the observation to nearby points on the model grid. An alternate solution to the current method for incorporating these point-based observations into the in-flight icing diagnoses was developed.
The basis for the new method is rooted in a concept borrowed from signal and image processing known as dithering. We leverage the confidence associated with a truth dataset (METAR observations) to decide how much to rely on NWP-derived METAR fields. Initial results show that incorporating NWP-derived data to assist in areas with sparse METAR observations creates an icing diagnosis that is visually more realistic. Circles of icing surrounding the point- based METAR observations are nearly eliminated in favor of a smoother cloud and resultant in-flight icing diagnosis.
Authors
Citation
Adriaansen, D., Prestopnik, P., McCabe, G., and Politovich, M., "Advancements in Combining Datasets for In-Flight Icing Diagnoses," SAE Technical Paper 2015-01-2137, 2015, https://doi.org/10.4271/2015-01-2137.Also In
References
- Bernstein , B.C. , McDonough F. , Politovich M.K. , Brown B.G. , Ratvasky T.P. , Miller D.R. , Wolff C.A. , and Cunning G. 2005 Current Icing Potential: Algorithm description and comparison with aircraft observations J. Appl. Meteor. 44 969 986
- Benjamin , S. and co-authors 2007 From the Radar-enhanced RUC to the WRF-based Rapid Refresh 22 nd Conference on Weather Analysis and Forecasting/18 th Conference on Numerical Weather Prediction Park City, UT Amer. Meteor. Soc. https://ams.confex.com/ams/pdfpapers/124827.pdf
- Thompson , G. , Field P. R. , Rasmussen R. M. , and Hall W. D. 2008 Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part II: Implementation of a New Snow Parameterization Mon. Wea. Rev. 136 5095 5115
- Casati , B. , Yagouti A. and Chaumont D. 2013 Regional climate projections of extreme heat events in nine pilot Canadian communities for public health planning J. Appl. Meteor. 52 2669 2698