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Spatiotemporal Patterns between the Coupled Modes of 500-mb Geopotential Height and Sea Surface Temperature Anomalies in the Wintertime North Atlanticстатья
Информация о цитировании статьи получена из
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 1 августа 2016 г.
- Автор: Dianskii N.A.
- Журнал: Izvestiya - Atmospheric and Oceanic Physics
- Том: 34
- Номер: 2
- Год издания: 1998
- Издательство: Pleiades Publishing, Ltd
- Местоположение издательства: Road Town, United Kingdom
- Первая страница: 197
- Последняя страница: 213
- Аннотация: The variation in the time lag and the transformation of the most strongly coupled spatial patterns between atmospheric forcing and the oceanic response over the wintertime North Atlantic are studied as functions of time scale of the data under consideration. The singular value decomposition (SVD) of the 500-mb geopotential height and sea surface temperature (SST) anomaly fields lagged relative to one another is used for this purpose. The monthly mean SST anomalies are found to lag behind the forcing monthly mean 500-mb height anomalies by half a month. This lag is described well by a simple SST-anomaly evolution model that relates the half-month lag to a quarter of a two-month oscillation period. This result suggests the presence of significant oscillations with a period of about two months in the midlatitude atmosphere. In addition, spurious oscillations with shorter periods may be observed in monthly mean data obtained at the Nyquist frequency corresponding to this period. Among such oscillations, SVD analysis of daily fields lagged in time distinguishes oscillations that correspond, in their spatiotemporal characteristics, to blocking situations in the North Atlantic. The transformation of the spatial 500-mb height and SST patterns of the first SVD mode is investigated on intraseasonal to interannual time scales. Parallel analysis of results produced by a coupled atmosphere–upper ocean model revealed good agreement with those obtained from observational data.
- Добавил в систему: Дианский Николай Ардальянович