This site uses cookies. By continuing to use this site you agree to our use of cookies. To find out more, see our Privacy and Cookies policy. Close this notification
Paper The following article is Open access

Mesoscale atmospheric modelling technology as a tool for creating a long-term meteorological dataset

, , , , , and

Published under licence by IOP Publishing Ltd
, , Citation Vladimir Platonov et al 2017 IOP Conf. Ser.: Earth Environ. Sci. 96 012004 DOI 10.1088/1755-1315/96/1/012004

1755-1315/96/1/012004

Abstract

A detailed hydrodynamic simulation of major meteorological parameters for the last 30 years (1985 – 2014) has been performed for the Sea of Okhotsk and the Sakhalin Island. The regional non-hydrostatic atmospheric model COSMO-CLM was used for this long-term simulation with horizontal resolutions of ~13.2, ~6.6 and ~2.2 km. This dataset was created to help in the investigation of statistical characteristics and physical mechanisms of formation of extreme weather events (primarily wind speed extremes) on small spatio-temporal scales. The detailed meteorological information thus obtained could be used to take into account the coast configuration, mountain systems, and other important mesoscale features of the terrain. This paper describes a proposed downscaling technology for long-term simulations with three "nested domains". The results of verification of the dataset and estimation of extreme wind velocities are presented.

Export citation and abstract BibTeX RIS

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Please wait… references are loading.
10.1088/1755-1315/96/1/012004