Contrasting interannual and multidecadal NAO variability

Climate Dynamics Springer Nature 45:1-2 (2015) 539-556

Authors:

T Woollings, C Franzke, DLR Hodson, B Dong, EA Barnes, CC Raible, JG Pinto

Erratum to: Contrasting interannual and multidecadal NAO variability

Climate Dynamics Springer Nature 45:1-2 (2015) 557-557

Authors:

T Woollings, C Franzke, DLR Hodson, B Dong, EA Barnes, CC Raible, JG Pinto

Signatures of naturally induced variability in the atmosphere using multiple reanalysis datasets

Quarterly Journal of the Royal Meteorological Society Wiley 141:691 (2015) 2011-2031

Authors:

DM Mitchell, LJ Gray, M Fujiwara, T Hibino, JA Anstey, W Ebisuzaki, Y Harada, C Long, S Misios, PA Stott, D Tan

Solar signals in CMIP鈥5 simulations: the stratospheric pathway

Quarterly Journal of the Royal Meteorological Society Wiley 141:691 (2015) 2390-2403

Authors:

DM Mitchell, S Misios, LJ Gray, K Tourpali, K Matthes, L Hood, H Schmidt, G Chiodo, R Thi茅blemont, E Rozanov, D Shindell, A Krivolutsky

Decadal wave power variability in the North-East Atlantic and North Sea

Geophysical Research Letters Wiley 42:12 (2015) 4956-4963

Authors:

H Santo, Paul Taylor, Tim Woollings, S Poulson

Abstract:

Estimation of the long-term behavior of wave climate is crucial for harnessing wave energy in a cost-effective way. Previous studies have linked wave heights to the north-south atmospheric pressure anomalies in the North Atlantic, suggesting that the wave climate fluctuates as a response to changes in zonal circulation in the atmosphere. We identify changes in wave power in the North-East Atlantic that are strongly correlated to the dominant pressure anomalies, the North Atlantic Oscillation (NAO), and other modes. We present a reconstructed wave power climate for 1665-2005, using a combination of known and proxy indices for the NAO and other modes. Our reconstruction shows high interannual and multidecadal variability, which makes wave energy prediction challenging. This variability should be considered in any long-term reliability analysis for wave energy devices and in power scheme economics.