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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 4
Atmos. Meas. Tech., 9, 1637-1652, 2016
https://doi.org/10.5194/amt-9-1637-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 9, 1637-1652, 2016
https://doi.org/10.5194/amt-9-1637-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 13 Apr 2016

Research article | 13 Apr 2016

An automatic precipitation-phase distinction algorithm for optical disdrometer data over the global ocean

Jörg Burdanowitz et al.
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Cited articles  
Adler, R. F., Gu, G., and Huffman, G. J.: Estimating Climatological Bias Errors for the Global Precipitation Climatology Project (GPCP), J. Appl. Meteorol. Clim., 51, 84–99, https://doi.org/10.1175/JAMC-D-11-052.1, 2012.
Atlas, D. and Ulbrich, C.: The physical basis for attenuation-rainfall relationships and the measurement of rainfall parameters by combined attenuation and radar methods, J. Rech. Atmos., 8, 275–298, 1974.
Battaglia, A., Rustemeier, E., Tokay, A., Blahak, U., and Simmer, C.: PARSIVEL Snow Observations: A Critical Assessment, J. Atmos. Ocean. Tech., 27, 333–344, https://doi.org/10.1175/2009JTECHA1332.1, 2010.
Bentley, W.: Studies of Raindrops and Raindrop Phenomena, Mon. Weather Rev., 32, 450–456, https://doi.org/10.1175/1520-0493(1904)32<450:SORARP>2.0.CO;2, 1904.
Bumke, K. and Seltmann, J.: Analysis of Measured Drop Size Spectra over Land and Sea, ISRN Meteorology, 2012, 1–10, https://doi.org/10.5402/2012/296575, 2012.
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We develop a new automatic algorithm to distinguish oceanic precipitation into rain, snow and mixed phase using optical disdrometers deployed on board research vessels. In combination, air temperature, relative humidity and the maximum precipitation particle diameter outperform human observer data and yield highest skill to predict the precipitation phase. This knowledge allows deriving accurate rain and snowfall rates with dense global ocean sampling, which enables satellite sensor validation.
We develop a new automatic algorithm to distinguish oceanic precipitation into rain, snow and...
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