EGU23-16412
https://doi.org/10.5194/egusphere-egu23-16412
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

The 2020-2023 La Niña: Did Cross-timescale Interference Fuel this Multi-year Event?

Laurel DiSera1 and Ángel G. Muñoz2
Laurel DiSera and Ángel G. Muñoz
  • 1International Research Institute for Climate and Society, Columbia University, United States of America (ldisera@iri.columbia.edu)
  • 2Barcelona Supercomputing Center, Barcelona, Catalonia, Spain (angel.g.munoz@bsc.es)

Beginning July 2020, the Niño 3.4 index crossed below the threshold to La Niña conditions and remained below a -0.4 sea surface temperature anomaly through the spring of 2023, impacting agriculture, livelihoods, and communities around the world. What caused this prolonged La Niña event and why was it sustained? How did the interaction between the different modes of climate variability influence the event? The internal dynamics of ENSO, the Indian Ocean Dipole, and the Madden-Julian Oscillation are studied here through a non-linear approach utilizing compositing techniques and both linear and non-linear wave superposition to identify what caused and prolonged the 2020-2023 La Niña event.

How to cite: DiSera, L. and Muñoz, Á. G.: The 2020-2023 La Niña: Did Cross-timescale Interference Fuel this Multi-year Event?, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-16412, https://doi.org/10.5194/egusphere-egu23-16412, 2023.