Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project

Tellus B: Chemical and Physical Meteorology Stockholm University Press 78:1 (2026) 1-66

Authors:

Ilona Riipinen, Sini Talvinen, Anouck Chassaing, Paraskevi Georgakaki, Xinyang Li, Carlos Pérez García-Pando, Tommi Bergman, Snehitha M Kommula, Ulrike Proske, Angelos Gkouvousis, Alexandra P Tsimpidi, Marios Chatziparaschos, Almuth Neuberger, Vlassis A Karydis, Silvia M Calderón, Sami Romakkaniemi, Daniel G Partridge, Théodore Khadir, Lubna Dada, Twan van Noije, Stefano Decesari, Øyvind Seland, Paul Zieger, Frida Bender, Ken Carslaw, Jan Cermak, Montserrat Costa-Surós, Maria Gonçalves Ageitos, Yvette Gramlich, Ove W Haugvaldstad, Eemeli Holopainen, Corinna Hoose, Oriol Jorba, Stylianos Kakavas, Maria Kanakidou, Harri Kokkola, Radovan Krejci, Thomas Kühn, Markku Kulmala, Philippe Le Sager, Risto Makkonen, Stella EI Manavi, Thomas F Mentel, Alexandros Milousis, Stelios Myriokefalitakis, Athanasios Nenes, Tuomo Nieminen, Spyros N Pandis, David Patoulias, Tuukka Petäjä, Johannes Quaas, Leighton Regayre, Susanne MC Scholz, Michael Schulz, Ksakousti Skyllakou, Ruben Sousse, Philip Stier, Manu Anna Thomas, Julie T Villinger, Annele Virtanen, Klaus Wyser, Annica ML Ekman

Calibration of climate model parameterizations using Bayesian experimental design

Machine Learning: Earth IOP Publishing 2:1 (2026) 015003-015003

Authors:

Tim Reichelt, Tom Rainforth, Duncan Watson-Parris

A generative likelihood framework for high-resolution climate model evaluation

Environmental Data Science Cambridge University Press (CUP) 5 (2026)

Authors:

Lilli Johanna Freischem, Tim Reichelt, Ronald Clark, Philip Stier, Hannah Christensen

Abstract:

Abstract Next-generation high-resolution (km-scale) climate models promise unprecedented accuracy in climate projections, but realizing their potential requires robust methods to quantify how well simulations align with real-world observations. Average-based metrics conventionally used for climate model evaluation ignore the physics encoded in the fine-scale structures of km-scale simulations. To overcome this limitation, we propose a novel, statistically principled evaluation methodology based on the likelihood function of a generative image model. Our method provides a continuous similarity metric derived from the likelihood distribution of observation and simulation snapshots, which can redefine the evaluation, intercomparison, and parameter tuning of high-resolution climate models. We demonstrate the applicability and interpretability of this method by evaluating convective clouds simulated by two state-of-the-art global km-scale models, using their outgoing infrared radiation fields. This work establishes a scalable pathway toward observation-based evaluation of next-generation climate simulations.

Effects of convective intensity and organisation on the structure and lifecycle of deep convective clouds

Atmospheric Chemistry and Physics (ACP) Discussions European Geosciences Union (2025)

Authors:

William Jones, Philip Stier

A climatology of meteorological droughts in New England, Australia, 1880–2022

Journal of Southern Hemisphere Earth Systems Science CSIRO Publishing 75:3 (2025) null-null

Authors:

Linden Ashcroft, Mathilde Ritman, Howard Bridgman, Ken Thornton, Gionni Di Gravio, William Oates, Richard Belfield, Elspeth Belfield

Abstract:

From 2017 to 2019, vast swathes of eastern Australia were affected by the severe and devastating Tinderbox Drought. Here, we present the first extended drought climatology for New England, spanning 1880 to 2022, and explore trends in drought characteristics over the past 142 years. We use newly recovered historical temperature and rainfall observations, the latest version of the Australian Bureau of Meteorology’s gridded rainfall dataset and a global gridded extreme dataset to assess changes in precipitation signatures and temperature events during droughts. Our analysis identifies 32 meteorological droughts from 1880 to 2022, lasting from 7 months to over 7 years. The climatology also reveals a change in the nature of drought, with a shift from events characterised by warm season rainfall deficiencies to events with greater rainfall reduction in the cool half of the year. Despite this shift, we also find a significant decrease in the number of cold extremes occurring during droughts, and an increase in hot extremes. Droughts in New England have been associated with a greater than average frequency of cold nights and frost days, but this relationship has weakened over recent decades. Conversely, they are generally associated with a greater than average frequency of hot days, a relationship that has increased over time. The Tinderbox Drought was the second-most extreme meteorological drought for New England in terms of rainfall deficit and drought severity, and was associated with the highest number of extreme warm temperature events. The new drought climatology for New England can now be used to provide regional drought information for decision makers and the community.