Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 3, pp. 297-304
Arctic mesocyclones from satellite data, reanalyses data and model simulations
M.G. Akperov
1 , I.I. Mokhov
1, 2 , M.A. Dembickaya
1 1 A.M. Obukhov Institute of Atmospheric Physics RAS, Moscow, Russia
2 M.V. Lomonosov Moscow State University, Moscow, Russia
Accepted: 14.03.2017
DOI: 10.21046/2070-7401-2017-14-3-297-304
The ability of the reanalyses data (NASA-MERRA, ERA-INTERIM, NCEP-CFSR, ASR) and regional climate model simulations (RCM HIRHAM5) to represent polar mesocyclones (PMCs) over European sector of the Arctic (ESA) in comparison with satellite data (STARS project − Sea Surface Temperature and Altimeter Synergy for Improved Forecasting of Polar Lows). Our results show that reanalyses can represent up to 65% of concrete observed polar mesocyclones from satellite data for 2002−2008. It is noted that Arctic reanalysis ASR with high spatial resolution reproduces more PMCs than from other reanalyses with a coarser resolution. Noted differences in the characteristics of Arctic mesocyclones from reanalyses data are related both with the model structure and data assimilation methods.
RCM HIRHAM reproduces the same number of PMCs as Arctic reanalysis ASR with high spatial distribution. Models with a higher spatial resolution and with an adequate description of mesoscale processes in the Arctic are required to reproduce small-scale mesocyclones.
Keywords: Arctic, polar mesocyclones, reanalysis, satellite data, regional climate model
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