Advancing the statistical modelling of weather and climate extremes and their meteorological drivers based on moisture and heat transport
Advancing the statistical modelling of weather and climate extremes and their meteorological drivers based on moisture and heat transport
Editor(s): Luis Gimeno (Universidade de Vigo, Spain), José Carlos Fernández-Alvarez (Centro de Supercomputación de Galicia, Spain), and Luis Gimeno-Sotelo (University of Lisbon, Portugal)

This special issue is devoted to original and innovative applications of statistical methods to the study of the meteorological drivers of weather and climate extremes, such as atmospheric moisture transport or heat transport. The relationship between these meteorological drivers and the occurrence of droughts, combined drought–heat waves, extreme precipitation, and floods will be a key topic of this issue. It also includes the role of land–atmosphere interactions in the occurrence and development of those natural hazards.

Review process: all papers of this special issue underwent the regular peer-review process of Advances in Statistical Climatology, Meteorology and Oceanography handled by guest editors designated by the ASCMO executive editors.

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02 Dec 2025
Soil moisture–temperature coupling during extreme warm conditions in 2018 in Sweden: a case study with WRF-CTSM
Iris Mužić, Øivind Hodnebrog, Yeliz A. Yilmaz, Terje K. Berntsen, Jana Sillmann, David M. Lawrence, and Paul A. Dirmeyer
Adv. Stat. Clim. Meteorol. Oceanogr., 11, 273–292, https://doi.org/10.5194/ascmo-11-273-2025,https://doi.org/10.5194/ascmo-11-273-2025, 2025
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