Skip to content
DraconiticResearch
Search Sources API
194,220 studies31 sourcesUpdated 53 min ago
Peer-reviewedCC BYScience Advances

Coarse climate model grids underestimate coastal humid-heat extremes

5 affiliations
  1. 1Institute for Atmospheric and Climate Sciences, ETH Zürich, Zürich, Switzerland.
  2. 2Institut des Geosciences de l’Environnement, UGA, Saint Martin d’Heres, France.
  3. 3Biogéosciences, CNRS/Université de Bourgogne Europe, Dijon, France.
  4. 4Research Unit Sustainability and Climate Risk, Earth and Society Research Hub (ESRAH), University of Hamburg, Hamburg, Germany.
  5. 5ENGEOS Lab, Department of Earth Sciences, Khalifa University, Abu Dhabi, United Arab Emirates.

Abstract

Humid-heat extremes reach intensities close to the limit of human survivability around the Arabian Peninsula. Here, we analyze fully coupled kilometer-scale Icosahedral Nonhydrostatic (ICON) and Integrated Forecasting System-FinitevolumE Sea ice-Ocean Model (IFS-FESOM) simulations from the nextGEMS project, with original resolutions of around 9 kilometers, and compare them with station observations, ERA5, and CMIP6 projections. IFS-FESOM reproduces well the observed upper-tail wet-bulb temperature (TW) and lies near the high end of the CMIP6 distribution over coastal regions, while ICON simulates weaker extremes. Spatial smoothing suppresses localized coastal maxima, reducing daily-maximum TW extremes by up to 8°C and lowering exceedance frequencies across multiple thresholds. Native resolution fields also show stronger mid-century increases in exposure under SSP3-7.0 than their coarse-gridded counterparts. These results suggest that conventional coarse resolution projections may underestimate localized coastal humid-heat risk, although the magnitude of this effect remains model dependent.

Related

  1. Distinguishing leaf scorching from senescence under climate extremes
    Markus Bergström, Zhaofei Wu, Charlotte Grossiord +1
    Nature Climate ChangePeer-reviewedLicence not stated7 citedClimate scienceOpenAlex
  2. Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes
    Neelesh Rampal, Peter B. Gibson, Steven C. Sherwood +3
    Climate DynamicsPeer-reviewedCC BYFull text13 citedClimate scienceOpenAlex
  3. Spatially compounding climate extremes and environmental risk: cross-regional synchrony, spatial buffering loss, and systemic consequences
    Aihui Zhu, Dayun Zhu
    Environmental Research LettersPeer-reviewedCC BY 4.0Full textEnvironmental science & pollutionCrossref
  4. Climate warming amplifies coastal hypoxia response to extreme river discharge
    Lin Hao, Zhaolin Sun, Ai Sanada +7
    Communications Earth & EnvironmentPeer-reviewedCC BY-NC-ND 4.0Full textOceanography & cryosphereCrossref
  5. Climate change-driven compound dust storm and heatwave extremes in Central Asia under future CMIP6 scenarios
    Parya Broomandi, Mehdi Bagheri, Nick Middleton +7
    PLOS OnePeer-reviewedCC BY 4.0Materials & polymersAtmospheric science & meteorologyPLOS
BibTeX
@article{carniel2026coarse,
  title = {{Coarse climate model grids underestimate coastal humid-heat extremes}},
  author = {Cosimo E. Carniel and Jonathan D. Wille and Lukas Brunner and Diana Francis and Erich M. Fischer},
  journal = {Science Advances},
  year = {2026},
  month = oct,
  doi = {10.1126/sciadv.ael4020},
  url = {https://www.science.org/doi/abs/10.1126/sciadv.ael4020},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Coarse climate model grids underestimate coastal humid-heat extremes
AU  - Cosimo E. Carniel
AU  - Jonathan D. Wille
AU  - Lukas Brunner
AU  - Diana Francis
AU  - Erich M. Fischer
PY  - 2026
DA  - 2026/10/30
JO  - Science Advances
DO  - 10.1126/sciadv.ael4020
UR  - https://www.science.org/doi/abs/10.1126/sciadv.ael4020
AB  - Humid-heat extremes reach intensities close to the limit of human survivability around the Arabian Peninsula. Here, we analyze fully coupled kilometer-scale Icosahedral Nonhydrostatic (ICON) and Integrated Forecasting System-FinitevolumE Sea ice-Ocean Model (IFS-FESOM) simulations from the nextGEMS project, with original resolutions of around 9 kilometers, and compare them with station observations, ERA5, and CMIP6 projections. IFS-FESOM reproduces well the observed upper-tail wet-bulb temperature (TW) and lies near the high end of the CMIP6 distribution over coastal regions, while ICON simulates weaker extremes. Spatial smoothing suppresses localized coastal maxima, reducing daily-maximum TW extremes by up to 8°C and lowering exceedance frequencies across multiple thresholds. Native resolution fields also show stronger mid-century increases in exposure under SSP3-7.0 than their coarse-gridded counterparts. These results suggest that conventional coarse resolution projections may underestimate localized coastal humid-heat risk, although the magnitude of this effect remains model dependent.
SN  - 2375-2548
ER  -