Results 81 to 90 of about 1,329,589 (268)

A Southern Ocean mode of multidecadal variability [PDF]

Geophysical Research Letters, 2016
AbstractA 250 year simulation of a strongly eddying global version of the Parallel Ocean Program (POP) model reveals a new mode of intrinsic multidecadal variability, the Southern Ocean Mode (SOM), with a period of 40–50 year. The peak‐to‐peak difference in the global ocean heat content within a multidecadal cycle is up to 60 ZJ.
Le Bars, D., Viebahn, J. P., Dijkstra, H. A.   +2 more
openaire   +3 more sources

Seasonal Predictions and Their Applications in the Mediterranean Region: Part I—Sources of Predictability and Prediction Skill

International Journal of Climatology, EarlyView.
The ability to predict climate fluctuations at seasonal timescales offers significant socio‐economic benefits. However, limited understanding of predictability mechanisms and model errors hinders forecast quality. Recent research has improved forecasting systems and data quality.
Gualdi Silvio, Javier García‐Serrano, Constantin Ardilouze, Silvia Terzago, Veronica Torralba, Wafae Badi, Lauriane Batté, Fatima Driouech, Kristina Fröhlich, Ernesto Rodriguez Camino, Esteban Rodriguez Guisado, Massimiliano Pasqui, Andrea Toreti   +12 more
wiley   +1 more source

Atmospheric River Event Frequency Is the Principal Moisture Driver for Radial Growth of High‐Elevation Southern California, USA Conifers, 1658–2020 CE

International Journal of Climatology, EarlyView.
Conifers growing in high‐elevation alpine environments in the mountains of Southern California, USA, are highly responsive to atmospheric river (AR) events, which typically produce heavy precipitation over 1–3 days. However, it is the frequency of the AR events, not their magnitude nor annual precipitation totals, that most affects the radial growth of
Paul A. Knapp, Avery A. Catherwood, Tyler J. Mitchell   +2 more
wiley   +1 more source

An experimental study of the Atlantic variability on interdecadal timescales [PDF]

Nonlinear Processes in Geophysics, 2012
A series of laboratory experiments has been carried out to model the basic dynamics of the multidecadal variability observed in North Atlantic sea surface temperature (SST) records. According to the minimal numerical sector model introduced by te Raa and
M. Vincze, I. M. Jánosi, E. Barsy, T. Tél, A. Várai   +4 more
doaj   +1 more source

Linking Ocean Forcing and Atmospheric Interactions to Atlantic Multidecadal Variability in MPI‐ESM1.2

Geophysical Research Letters, 2020
We investigate how ocean‐driven multidecadal sea surface temperature (SST) variations force the atmosphere to jointly set the pace of Atlantic multidecadal variability (AMV).
J. Oelsmann, L. Borchert, Ralf Hand, Johanna Baehr, J. Jungclaus   +4 more
semanticscholar   +1 more source

El Niño-related summer precipitation anomalies in Southeast Asia modulated by the Atlantic multidecadal oscillation [PDF]

, 2019
How the Atlantic Multidecadal Oscillation (AMO) affects El Niño-related signals in Southeast Asia is investigated in this study on a subseasonal scale.
Fan, K., Fan, Y., Fraedrich, K., Zhu, X.
core   +2 more sources

A multi-model comparison of Atlantic multidecadal variability

Climate Dynamics, 2014
A multi-model analysis of Atlantic multidecadal variability is performed with the following aims: to investigate the similarities to observations; to assess the strength and relative importance of the different elements of the mechanism proposed by Delworth et al.
Ba, Jin, Keenlyside, Noel S., Latif, Mojib, Park, Wonsun, Ding, Hui, Lohmann, Katja, Mignot, Juliette, Menary, Matthew, Otterå, Odd Helge, Wouters, Bert, Salas y Melia, David, Oka, Akira, Bellucci, Alessio, Volodin, Evgeny   +13 more
openaire   +8 more sources

Projected Intensification of Hydroclimatic Extremes in Rio Grande do Norte, Brazil, Under CMIP6 Scenarios

International Journal of Climatology, EarlyView.
The graphical abstract presents observed (1963–2023) and projected changes in hydroclimatic extremes in Rio Grande do Norte, Brazil. It integrates dry‐spell duration (CDD) and extreme precipitation (R95pTOT) using CMIP6 multimodel ensembles under SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5.
Daris Correia dos Santos
wiley   +1 more source

Physical Insights From the Multidecadal Prediction of North Atlantic Sea Surface Temperature Variability Using Explainable Neural Networks

Geophysical Research Letters, 2023
North Atlantic sea surface temperatures (NASST), particularly in the subpolar region, are among the most predictable in the world's oceans. However, the relative importance of atmospheric and oceanic controls on their variability at multidecadal ...
Glenn Liu, Peidong Wang, Young‐Oh Kwon
doaj   +1 more source

An Investigation of the Ocean’s Role in Atlantic Multidecadal Variability

Journal of Climate, 2020
A mechanistic understanding of the Atlantic multidecadal variability (AMV) is highly desirable since it will considerably aid regional and global climate predictions.
Laifang Li, M. Lozier, M. Buckley
semanticscholar   +1 more source