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91探花
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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
  • 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-Ni帽o 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鈥2010. We find minima in the skill of predicting the first (in 1930鈥1950) and second (in 1940鈥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鈥1960. The skill reduction is explained by lower ENSO magnitude and variance in 1930鈥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.

Multi鈥怐ecadal 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鈥恉ecadal variability in skill across the twentieth century in indices describing El鈥怤i帽o Southern Oscillation (ENSO), which drives global seasonal predictability. Here, we analyze the skill of predicting ENSO events' magnitude and spatial pattern, in the CSF鈥20C coupled seasonal hindcasts in 1901鈥2010. We find minima in the skill of predicting the first (in 1930鈥1950) and second (in 1940鈥1960) principal components of sea鈥恠urface temperature (SST) in the tropical Pacific. This minimum is also present in the spatial correlation of SSTs, in 1930鈥1960. The skill reduction is explained by lower ENSO magnitude and variance in 1930鈥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鈥恡ropics.

Energy鈥恗eteorology education workshop at the International Conference on Energy and Meteorology

Weather Wiley 79:1 (2024) 34-35

Authors:

Matthew Wright, Juan A A帽el, Hannah Mallinson

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

(2024)

Authors:

Matthew Wright, Antje Weisheimer, Tim Woollings

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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