ML4WX

Climate emulation

Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models

Yann Quilcaille, Lukas Gudmundsson, Lea Beusch, Mathias Hauser, Sonia Isabelle Seneviratne

Geophysical Research Letters · · ETH Zurich, MeteoSwiss

PaperPDF

In one sentence. MESMER-X statistical emulator reproduces spatially resolved annual maximum temperatures of Earth system models using global mean temperature as the driver.

Abstract

Emulators of Earth System Models (ESMs) are complementary to ESMs by providing climate information at lower computational costs. Thus far, the emulation of spatially resolved climate extremes has only received limited attention, even though extreme events are one of the most impactful aspects of climate change. Here, we propose a method for the emulation of local annual maximum temperatures, with a focus on reproducing essential statistical properties such as correlations in space and time. We test different emulator configurations and find that driving the emulations with global mean surface temperature offers an optimal compromise between model complexity and performance. We show that the emulations can mimic the temporal evolution and spatial patterns of the underlying climate model simulations and are able to reproduce their natural variability. The general design and the good performance for annual maximum temperatures suggest that the proposed methodology can be applied to other climate extremes.

Labels

Topic
Climate emulation, Extremes & hazards
Type
New model or method
Method
Other
Time scale
Climate projections / centennial
Domain
Regional
Data
CMIP / climate model output
Status
Research
Identifiers
DOI:10.1029/2022gl099012 OpenAlex:W4292409458
Added
2026-10-22

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