Articles | Volume 9, issue 1
https://doi.org/10.5194/esd-9-167-2018
https://doi.org/10.5194/esd-9-167-2018
Research article
 | 
26 Feb 2018
Research article |  | 26 Feb 2018

A new moisture tagging capability in the Weather Research and Forecasting model: formulation, validation and application to the 2014 Great Lake-effect snowstorm

Damián Insua-Costa and Gonzalo Miguez-Macho

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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish as is (03 Jan 2018) by Sergio Martín Vicente Serrano
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Short summary
We present here a newly implemented water vapor tracer tool into the WRF meteorological model (WRF-WVT). A detailed validation shows high accuracy, with an error of much less than 1 % in moisture traceability. As an example application, we show that for the 2014 Great Lake-effect snowstorm, above 30 % of precipitation in the regions immediately downwind originated from lake evaporation, with contributions exceeding 50 % in the areas with highest snowfall accumulations.
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