Abstract Machine learning (ML) is increasing in popularity in the field of weather and climate
modelling. Applications range from improved solvers and preconditioners, to …

Here we present the first multi-model ensemble of regional climate simulations at kilometer-
scale horizontal grid spacing over a decade long period. A total of 23 simulations run with a …

Droughts are among the costliest natural disasters. They affect wide regions and large
numbers of people worldwide by tampering with water availability and agricultural …

We describe Global Atmosphere 7.0 and Global Land 7.0 (GA7. 0/GL7. 0), the latest science
configurations of the Met Office Unified Model (UM) and the Joint UK Land Environment …

We compare the performance of five different regional climate models (RCMs)(COSMO-CLM
2, HIRHAM5, MAR3. 10, MetUM, and RACMO2. 3p2), forced by ERA-Interim reanalysis, in …

The Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia
(BARRA) is the first atmospheric regional reanalysis over a large region covering Australia …

We analyse the development of a radiation fog event and its gradual transition from optically
thin fog in a stable boundary layer to well-mixed optically thick fog. A comparison of …

We compare the mass budget of the Arctic sea ice for 15 models submitted to the latest
Coupled Model Intercomparison Project (CMIP6), using new diagnostics that have not been …

Natural aerosol feedbacks are expected to become more important in the future, as
anthropogenic aerosol emissions decrease due to air quality policy. One such feedback is …

The Stratosphere–troposphere Processes And their Role in Climate (SPARC) Quasi-
Biennial Oscillation initiative (QBOi) aims to improve the fidelity of tropical stratospheric …