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Mr Matthew Wright (he/him)

DPhil Student and Royal Meteorolgical Society Science Engagement Fellow

Research theme

  • Climate physics

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Climate dynamics
  • Predictability of weather and climate
matthew.wright@physics.ox.ac.uk
Robert Hooke Building, room S39
ORCID
ECMWF Special Project 2023-2025
  • About
  • Articles
  • CASE Partnership
  • RMetS Science Engagement Fellowship
  • Publications

Multi-decadal skill variability in predicting the spatial patterns of ENSO events

Geophysical Research Letters American Geophysical Union 51:12 (2024) e2023GL107971

Authors:

Matthew Wright, Antje Weisheimer, Tim Woollings

Abstract:

Seasonal hindcasts have previously been demonstrated to show multi-decadal variability in skill across the twentieth century in indices describing El-Niño Southern Oscillation (ENSO), which drives global seasonal predictability. Here, we analyze the skill of predicting ENSO events' magnitude and spatial pattern, in the CSF-20C coupled seasonal hindcasts in 1901–2010. We find minima in the skill of predicting the first (in 1930–1950) and second (in 1940–1960) principal components of sea-surface temperature (SST) in the tropical Pacific. This minimum is also present in the spatial correlation of SSTs, in 1930–1960. The skill reduction is explained by lower ENSO magnitude and variance in 1930–1960, as well as decreased SST persistence. The SST skill minima project onto surface winds, leading to worse predictions in coupled hindcasts compared to hindcasts using prescribed SSTs. Questions remain about the offset between the first and second principal components' skill minima, and how the skill minima impact the extra-tropics.
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Multi‐Decadal Skill Variability in Predicting the Spatial Patterns of ENSO Events

Geophysical Research Letters Wiley Open Access 51:12 (2024) e2023GL107971

Authors:

MJ Wright, A Weisheimer, T Woollings

Abstract:

Seasonal hindcasts have previously been demonstrated to show multi‐decadal variability in skill across the twentieth century in indices describing El‐Niño Southern Oscillation (ENSO), which drives global seasonal predictability. Here, we analyze the skill of predicting ENSO events' magnitude and spatial pattern, in the CSF‐20C coupled seasonal hindcasts in 1901–2010. We find minima in the skill of predicting the first (in 1930–1950) and second (in 1940–1960) principal components of sea‐surface temperature (SST) in the tropical Pacific. This minimum is also present in the spatial correlation of SSTs, in 1930–1960. The skill reduction is explained by lower ENSO magnitude and variance in 1930–1960, as well as decreased SST persistence. The SST skill minima project onto surface winds, leading to worse predictions in coupled hindcasts compared to hindcasts using prescribed SSTs. Questions remain about the offset between the first and second principal components' skill minima, and how the skill minima impact the extra‐tropics.
More details from the publisher

Energy‐meteorology education workshop at the International Conference on Energy and Meteorology

Weather Wiley 79:1 (2024) 34-35

Authors:

Matthew Wright, Juan A Añel, Hannah Mallinson
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Multi-decadal skill variability in predicting the spatial patterns of ENSO events

(2024)

Authors:

Matthew Wright, Antje Weisheimer, Tim Woollings
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RMetS Climate Change Forum 2022: a vision for 2050 and implications for action

Weather Wiley 78:4 (2023) 117-119

Authors:

Matthew Wright, Daniel Skinner, Hannah Bloomfield, Hannah Mallinson
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