Earth System Dynamics
Earth System Dynamics
ESD
Articles | Volume 9, issue 1
Articles | Volume 9, issue 1
https://doi.org/10.5194/esd-9-167-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/esd-9-167-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 1
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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Cited articles

Arnault, J., Knoche, R., Wei, J., and Kunstmann, H.: Evaporation tagging and atmospheric water budget analysis with WRF: A regional precipitation recycling study for West Africa, Water Resour. Res., 52, 1544–1567, https://doi.org/10.1002/2015WR017704, 2016. a
Bechtold, P., Bazile, E., Guichard, F., Mascart, P., and Richard, E.: A mass-flux convection scheme for regional and global models, Q. J. Roy. Meteor. Soc., 127, 869–886, https://doi.org/10.1256/smsqj.57308, 2001. a
Bosilovich, M. G., Sud, Y. C., Schubert, S. D., and Walker, G. K.: Numerical simulation of the large-scale North American monsoon water sources, J. Geophys. Res., 108, 8614, https://doi.org/10.1029/2002JD003095, 2003. a
Bosilovich, M. G.: On the vertical distribution of local and remote sources of water for precipitation, Meteorol. Atmos. Phys., 80, 31–41, https://doi.org/10.1007/s007030200012, 2002. a
Bosilovich, M. G. and Schubert, S. D.: Water Vapor Tracers as Diagnostics of the Regional Hydrologic Cycle, J. Hydrometeorol., 3, 149–165, https://doi.org/10.1175/1525-7541(2002)003<0149:WVTADO>2.0.CO;2, 2002. a, b, c, d, e
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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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