EGU21-12363, updated on 31 Jul 2023
EGU General Assembly 2021
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Common EOFs in atmospheric science and large-scale flow

Abdel Hannachi1, Kathrin Finke1, and Nickolay Trendafilov2
Abdel Hannachi et al.
  • 1Department of Meteorology, Stockholm University, Stockholm, Sweden
  • 2School of Mathematics and Statistics, Open University, Milton Keynes, UK

Conventional analysis of the large-scale atmospheric variability and teleconnections are obtained using the empirical orthogonal function (EOF) method, which was developed mainly to deal with single fields. With the increase of the amount of observed/simulated large-scale atmospheric data including climate models, e.g., CMIP, there is a need to develop methods with efficient algorithms that enable analysis and comparison/validation of climate model simulations. Here we describe the common EOF method, which finds common patterns of a set of large scale atmospheric fields, and enables comparing several model outputs simultaneously. A step-wise/sequential algorithm is presented, which avoids the difficulty encountered in previous algorithms related to the lack of simultaneous monotonic change of the eigenvalues of all fields. The theory and algorithm are presented, and the application to large-scale teleconnections from various reanalysis products and CMIP6 are discussed.

How to cite: Hannachi, A., Finke, K., and Trendafilov, N.: Common EOFs in atmospheric science and large-scale flow, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-12363,, 2021.


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