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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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Short summary
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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