Publication Date:
2020-08-04
Description:
Long-term interannual variations of the intramonthly standard deviations of surface meteorological parameters are studied on the basis of the North Atlantic Ocean Weather Stations (OWSs) dataset. To consider the different scales of short-term synoptic variability, intramonthly statistics were calculated for 3-h sampled data and for running-mean data as well. Year-to-year variability is considered in terms of linear trends and interannual oscillations with characteristic periods of several years. Intramonthly standard deviations for most of the parameters tended to decrease during the OWS observational period. Trends in the parameters for different synoptic-scale statistics are discussed. Intramonthly statistics, computed for different averaging scales, demonstrate remarkably different short-period year to year oscillations. Some relationships between the interannual variations of synoptic activity and the SST anomalies are presented. Intramonthly statistics are found to be an effective indicator of the North Atlantic Oscillation. Finally, the possibility of applying results to statistics computed from climatological datasets and analyses of meteorological centers is discussed.
Type:
Article
,
PeerReviewed
Format:
text
