Henley, B. J., Meehl, G., Power, S. B., Folland, C. K., King, A. D., Brown, J. N., Karoly, D. J., Delage, F., Gallant, A. J. E., Freund, M., & Neukom, R. (2017). Spatial and Temporal Agreement in Climate Model Simulations of the Interdecadal Pacific Oscillation. Environmental Research Letters, 12, Article ID: 044011.
https://doi.org/10.1088/1748-9326/aa5cc8

has been cited by the following article:

• TITLE: Climate Patterns: Origin and Forcing

  AUTHORS: Alexander Ruzmaikin

  KEYWORDS: Spatial-Time Patters, Dynamics, Climate Change, Climate Prediction

  JOURNAL NAME: American Journal of Climate Change, Vol.10 No.2, June 30, 2021

  ABSTRACT: This brief review described spatial-time climate patterns generated by the dynamics and thermodynamics of the Earth’s climate system and methods of identifying these patterns. Specifically, it does discuss the following major climate patterns: El Ni?o-Southern Oscillation (ENSO), Cold Ocean-Warm Land (COWL) pattern, Northern and Southern Annular Patterns (NAM and SAM), Atlantic Multidecadal Oscillation (AMO) and Atlantic Meridional Overturning Circulation (AMOC), Pacific North-American Pattern (PNA) and Pacific Decadal Oscillation Pattern (PDO). In view of an extensive number of publications on some climate patterns, such as the ENSO, which discussed in many hundred of publications, this review is not intended to cover all the details of individual climate patterns but intends only to give a general overview of their structure, mechanisms of their formation and response to external forcing. It is assumed that the climate patterns can be treated as attractors of dynamical systems allowing us to extract and predict some specific features of the patterns such as the origin and evolution of the climate patterns and their role in climate change. Thus the knowledge of patterns allows the climate prediction on long time scales and understanding of how an external forcing affects the frequency of occurrence of climate patterns and their magnitude but not the spatial structure.