Intense sea-effect snowfall case on the western coast of Finland
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Published:2017-07-12
Issue:
Volume:14
Page:231-239
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ISSN:1992-0636
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Container-title:Advances in Science and Research
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language:en
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Short-container-title:Adv. Sci. Res.
Author:
Olsson TaruORCID, Perttula Tuuli, Jylhä KirstiORCID, Luomaranta Anna
Abstract
Abstract. A new national daily snowfall record was measured in Finland on 8 January 2016 when it snowed 73 cm (31 mm as liquid water) in less than a day in Merikarvia on the western coast of Finland. The area of the most intense snowfall was very small, which is common in convective precipitation. In this work we used hourly weather radar images to identify the sea-effect snowfall case and to qualitatively estimate the performance of HARMONIE, a non-hydrostatic convection-permitting weather prediction model, in simulating the spatial and temporal evolution of the snowbands. The model simulation, including data assimilation, was run at 2.5 km horizontal resolution and 65 levels in vertical. HARMONIE was found to capture the overall sea-effect snowfall situation quite well, as both the timing and the location of the most intense snowstorm were properly simulated. Based on our preliminary analysis, the snowband case was triggered by atmospheric instability above the mostly ice-free sea and a low-level convergence zone almost perpendicular to the coastline. The simulated convective available potential energy (CAPE) reached a value of 87 J kg−1 near the site of the observed snowfall record.
Publisher
Copernicus GmbH
Subject
Atmospheric Science,Pollution,Geophysics,Ecological Modeling
Reference22 articles.
1. Bénard, P., Vivoda, J., Masek, J., Smolíková, P., Yessad, K., Smith, C., Brozková, R., and Geleynv, J.-F.: Dynamical kernel of the Aladin-NH spectral limited-area model: Revised formulation and sensitivity experiments, Q. J. Roy. Meteorol. Soc., 136, 155–169, 2010. 2. Brousseau, P., Berre, L., Bouttier, F., and Desroziers, G.: Background-error covariances for a convective-scale data-assimilation system: AROME–France 3D-Var, Q. J. Roy. Meteorol. Soc., 137, 409–422, https://doi.org/10.1002/qj.750, 2011. 3. Cuxart, J., Bougeault, P., and Redelsberger, J.-L.: A turbulence scheme allowing for mesoscale and large-eddy simulations, Q. J. Roy. Meteorol. Soc., 126, 1–30, 2000. 4. FMI: Video animation of radar reflectivity images during the Merikarvia sea-effect event at 10 minute intervals, available at: http://www.ilmastokatsaus.fi/wp-content/uploads/2016/01/merikarvia_lumisade_tutka.gif (last access: 3 July 2017), 2016. 5. Gregow, E., Pessi, A., Mäkelä, A., and Saltikoff, E., Improving the precipitation accumulation analysis using lightning measurements and different integration periods, Hydrol. Earth Syst. Sci., 21, 267–279, https://doi.org/10.5194/hess-21-267-2017, 2017.
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