Determination of Surface Precipitation Type Based on the Data Fusion Approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
http://link.springer.com/content/pdf/10.1007/s00376-020-0165-9.pdf
Reference46 articles.
1. Allen, J. T., D. J. Karoly, and K. J. Walsh, 2014: Future Australian severe thunderstorm environments. Part I: A novel evaluation and climatology of convective parameters from two climate models for the late twentieth century. J. Climate, 27(10), 3827–3847, https://doi.org/10.1175/JCLI-D-13-00425.1.
2. Allen, J. T., M. K. Tippett, and A. H. Sobel, 2015: An empirical model relating U.S. monthly hail occurrence to large-scale meteorological environment. Journal of Advances in Modeling Earth Systems, 7(1), 226–243, https://doi.org/10.1002/2014MS000397.
3. American Meteorological Society, 2019: Precipitation. Glossary of Meteorology. [Available online from http://glossary.ametsoc.org/wiki/climatology]
4. Borsky, S., and C. Unterberger, 2019: Bad weather and flight delays: The impact of sudden and slow onset weather events. Economics of Transportation, 18, 10–26, https://doi.org/10.1016/j.ecotra.2019.02.002.
5. Bourgouin, P., 2000: A method to determine precipitation types. Wea. Forecasting, 15, 583–592, https://doi.org/10.1175/1520-0434(2000)015<0583:AMTDPT>2.0.CO;2.
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