Preprints
https://doi.org/10.5194/egusphere-2023-3033
https://doi.org/10.5194/egusphere-2023-3033
18 Jan 2024
 | 18 Jan 2024

Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach

Sina Mehrdad, Dörthe Handorf, Ines Höschel, Khalil Karami, Johannes Quaas, Sudhakar Dipu, and Christoph Jacobi

Abstract. Heterogeneous radiative forcing in mid-latitudes, such as that exerted by aerosols, has been found to affect the Arctic climate, though the mechanisms remain debated. In this study, we leverage Deep Learning (DL) techniques to explore the complex response of the Arctic climate system to local radiative forcing over Europe. We conducted sensitivity experiments using the Max Planck Institute Earth System Model (MPI-ESM1.2) coupled with atmosphere-ocean–land surface components. Utilizing a DL-based clustering method, we classify atmospheric circulation patterns in a lower-dimensional space, focusing on Poleward Moist Static Energy Transport (PMSET) as our primary parameter. We developed a novel method to analyze the circulation patterns' contributions to various climatic parameter anomalies. Our findings indicate that the negative forcing over Europe alters existing circulation patterns and their occurrence frequency without introducing new ones. Specifically, we identify changes in a circulation pattern with a high-pressure system over Scandinavia as a key driver for reduced Sea Ice Concentration (SIC) in the Barents-Kara Sea during autumn. This circulation pattern also influences middle atmospheric dynamics, although its contribution is relatively minor compared to other circulation patterns that resemble the phases of the North Atlantic Oscillation (NAO). Our multidimensional approach combines DL algorithms and human expertise to offer a novel analytical tool that could have broader applications in climate science.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Sina Mehrdad, Dörthe Handorf, Ines Höschel, Khalil Karami, Johannes Quaas, Sudhakar Dipu, and Christoph Jacobi

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-3033', Anonymous Referee #1, 15 Feb 2024
    • AC2: 'Reply on RC1', Sina Mehrdad, 28 Mar 2024
  • RC2: 'Comment on egusphere-2023-3033', Anonymous Referee #2, 21 Feb 2024
    • AC1: 'Reply on RC2', Sina Mehrdad, 28 Mar 2024
Sina Mehrdad, Dörthe Handorf, Ines Höschel, Khalil Karami, Johannes Quaas, Sudhakar Dipu, and Christoph Jacobi
Sina Mehrdad, Dörthe Handorf, Ines Höschel, Khalil Karami, Johannes Quaas, Sudhakar Dipu, and Christoph Jacobi

Viewed

Total article views: 345 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
263 67 15 345 10 9
  • HTML: 263
  • PDF: 67
  • XML: 15
  • Total: 345
  • BibTeX: 10
  • EndNote: 9
Views and downloads (calculated since 18 Jan 2024)
Cumulative views and downloads (calculated since 18 Jan 2024)

Viewed (geographical distribution)

Total article views: 358 (including HTML, PDF, and XML) Thereof 358 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 15 Jul 2024
Download
Short summary
Here, we attempt to understand how changes in Europe's environment influence the Arctic's climate. By developing a novel method for atmospheric analysis, we tried to understand how shifts in the Europe's environment can lead to changes in the Arctic. Our findings show the intricate interplay between distinct atmospheric states, enhancing our understanding of their combined impact on the Arctic. Such insights are vital for forecasting future climatic shifts and their worldwide repercussions.