Near-surface mean and gust wind speeds in ERA5 across Sweden: towards an improved gust parametrization

Author:

Minola L.ORCID,Zhang F.,Azorin-Molina C.ORCID,Pirooz A. A. SafaeiORCID,Flay R. G. J.ORCID,Hersbach H.,Chen D.ORCID

Abstract

AbstractThe ERA5 reanalysis product has been compared with hourly near-surface wind speed and gust observations across Sweden for 2013–2017. ERA5 shows closer agreement than the previous ERA-Interim reanalysis with regard to both mean wind speed and gust measurements, although significant discrepancies are still found for inland and mountainous regions. Therefore, attempts have been made to improve formulations of the gust parametrization used in ERA5 by adding an elevation-dependency and by adjusting the convective gust contribution. Major improvements, especially over mountain regions, are achieved when the elevation differences among the stations are considered. Closer agreement between the observed and parametrized gusts is reached when the convective gust contribution is also tuned. The newly designed gust parametrization was also tested for Norway, which is characterized by more complex topography. Wind gusts from the selected Norwegian stations are more realistically simulated when both the elevation-dependency and the tuned convective contribution are implemented, although the parametrized gusts are still negatively biased. Such biases are not explained by the different in gust duration in recorded wind gusts between Sweden and Norway.

Funder

Vetenskapsrådet

Ministerio de Ciencia, Innovación y Universidades

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Reference44 articles.

1. Achberger C, Chen D, Alexandersson H (2006) The surface winds of Sweden during 1999–2000. Int J Climatol 26:159–178. https://doi.org/10.1002/joc.1254

2. Anber U, Wang S, Sobel A (2014) Response of atmospheric convection to vertical wind shear: cloud-system-resolving simulations with parameterized large-scale circulation. Part I: specified radiative cooling. J Atmos Sci 71:2976–2993. https://doi.org/10.1175/JAS-D-13-0320.1

3. Anthes RA (1985) Introduction to parametrization pf physical processes in numerical models. Seminar on physical parametrization for numerical models of the atmosphere, Shinfield Park, Reading, 9–13 September, ECMWF. https://www.ecmwf.int/en/elibrary/7786-introduction-parameterization-physical-processes-numerical-models. Accessed 08 May 2020

4. Arya SP (2001) Introduction to micrometeorology, 2nd edn. Academic Press, San Diego, pp 163–185

5. Azorin-Molina C, Guijarro JA, McVicar TR, Vicente-Serrano SM, Chen D et al (2016) Trends of daily peak wind gusts in Spain and Portugal, 1961–2014. J Geophys Res Atmos 121(3):1059–1078. https://doi.org/10.1002/2015JD024485

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