Pregled bibliografske jedinice broj: 1027221
Estimating Subseasonal Variability and Trends in Global Atmosphere Using Reanalysis Data
Estimating Subseasonal Variability and Trends in Global Atmosphere Using Reanalysis Data // Geophysical research letters, 45 (2018), 23; 12, 999-13, 007 doi:10.1029/2018gl080051 (međunarodna recenzija, članak, znanstveni)
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Naslov
Estimating Subseasonal Variability and Trends in
Global Atmosphere
Using Reanalysis Data
Autori
Žagar, Nedjeljka ; Jelić, Damjan ; Alexander, M. J. ; Manzini, E.
Izvornik
Geophysical research letters (0094-8276) 45
(2018), 23;
12, 999-13, 007
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
atmospheric circulation ; subseasonal variability ; trends ; climate change
Sažetak
A new measure of subseasonal variability is introduced that provides a scale-dependent estimation of vertically and meridionally integrated atmospheric variability in terms of the normal modes of linearized primitive equations. Applied to the ERA-Interim data, the new measure shows that subseasonal variability decreases for larger zonal wave numbers. Most of variability is due to balanced (Rossby mode) dynamics but the portion associated with the inertio-gravity (IG) modes increases as the scale reduces. Time series of globally integrated variability anomalies in ERA-Interim show an increase in variability after year 2000. In recent years the anomalies have been about 2% above the 1981-2010 average. The relative increase in variability projecting on the IG modes is larger and more persistent than for the Rossby modes. Although the IG part is a small component of the subseasonal variability, it is an important effect likely reflecting the observed increase in the tropical precipitation variability.
Izvorni jezik
Engleski
Znanstvena područja
Geofizika
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- Nature Index