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Credit: Nicholas Leach 2022

Dr Nicholas Leach

Senior Postdoctoral Research Assistant in Weather & Climate Impacts on Health

Research theme

  • Climate physics

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Predictability of weather and climate
nicholas.leach@physics.ox.ac.uk
Atmospheric Physics Clarendon Laboratory, room 117
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  • About
  • Publications

“Boosted” realities: exploring the plausible limits of extreme weather through ensemble forecasts

Copernicus Publications (2025)

Authors:

Nicholas Leach, Shirin Ermis, Erich Fischer, Olivia Vashti Ayim, Aidan Brocklehurst, Kelvin Ng, Gregor Leckebusch
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Forecast-based attribution for midlatitude cyclones

Copernicus Publications (2025)

Authors:

Shirin Ermis, Nicholas Leach, Sarah Sparrow, Fraser Lott, Antje Weisheimer
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Towards an operational forecast-based attribution system - beyond isolated events

Copernicus Publications (2025)

Authors:

Nicholas Leach, Shirin Ermis, Olivia Vashti Ayim, Sarah Sparrow, Fraser Lott, Linjing Zhou, Pandora Hope, Dann Mitchell, Antje Weisheimer, Myles Allen
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fair-calibrate v1.4.1: calibration, constraining, and validation of the FaIR simple climate model for reliable future climate projections

Geoscientific Model Development Copernicus Publications 17:23 (2024) 8569-8592

Authors:

Chris Smith, Donald P Cummins, Hege-Beate Fredriksen, Zebedee Nicholls, Malte Meinshausen, Myles Allen, Stuart Jenkins, Nicholas Leach, Camilla Mathison, Antti-Ilari Partanen
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Heatwave attribution based on reliable operational weather forecasts

Nature Communications Springer Nature 15:1 (2024) 4530

Authors:

Nicholas Leach, Christopher D Roberts, Matthias Aengenheyster, Daniel Heathcote, Dann M Mitchell, Vikki Thompson, Timothy Palmer, Antje Weisheimer, Myles R Allen

Abstract:

The 2021 Pacific Northwest heatwave was so extreme as to challenge conventional statistical and climate-model-based approaches to extreme weather attribution. However, state-of-the-art operational weather prediction systems are demonstrably able to simulate the detailed physics of the heatwave. Here, we leverage these systems to show that human influence on the climate made this event at least 8 [2–50] times more likely. At the current rate of global warming, the likelihood of such an event is doubling every 20 [10–50] years. Given the multi-decade lower-bound return-time implied by the length of the historical record, this rate of change in likelihood is highly relevant for decision makers. Further, forecast-based attribution can synthesise the conditional event-specific storyline and unconditional event-class probabilistic approaches to attribution. If developed as a routine service in forecasting centres, it could provide reliable estimates of human influence on extreme weather risk, which is critical to supporting effective adaptation planning.
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