A new tool for studying seasonality and spatio-temporal structure of ENSO cycles in data and ESM simulations-Reference-Cited by-同舟云学术

A new tool for studying seasonality and spatio-temporal structure of ENSO cycles in data and ESM simulations

Published:2024-02-01 Issue:1 Volume:39 Page:27-34
ISSN:1569-3988
Container-title:Russian Journal of Numerical Analysis and Mathematical Modelling
language:en
Short-container-title:

Author:

Mukhin Dmitry¹,Safonov Semen²,Gavrilov Andrey²,Gritsun Andrey²³,Feigin Alexander²

Affiliation:

1. A. V. Gaponov-Grekhov Institute of Applied Physics of RAS, Atmospheric Research Department , Nizhny Novgorod , Russia

2. A. V. Gaponov-Grekhov Institute of Applied Physics of RAS , Nizhny Novgorod , Russia

3. Marchuk Institute of Numerical Mathematics of RAS , Moscow , Russia

Abstract

Abstract In this work, we present a new diagnostic tool for El Niño Southern Oscillation (ENSO) simulations in Earth System Models (ESMs) based on the analysis of upper ocean heat content data. It allows us to identify the seasonally dependent structure of temperature anomalies in the equatorial Pacific Ocean in the form of a dominant spatio-temporal pattern. We demonstrate the results of applying a tool to analysis of real data as well as climate simulations in two versions of the Institute of Numerical Mathematics ESM. We find that the latest version of the model, with improved parameterizations of clouds, large-scale condensation, and aerosols, provides significantly better reproduction of ENSO-related structure of anomalies, as well as the phase locking of ENSO to the annual cycle. We recommend to use the tool for diagnostic analysis of ESMs regarding simulation of climate phenomena with strong seasonality.

Publisher

Walter de Gruyter GmbH

Link

https://www.degruyter.com/document/doi/10.1515/rnam-2024-0003/pdf

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