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This paper presents an interesting link between climate and weather patterns, and especially how this may have impacted recent human history.

Tropospheric ozone is an extremely important atmospheric compound as it oxidises, and thus removes, chemical compounds in the atmosphere. One important source in the troposphere are anthropogenic emissions. At elevated concentrations ozone presents a pollutant that is harmful to human health and ecosystems, and it acts as a short-lived greenhouse gas in the upper troposphere. Based on previously developed community models to describe the spatial and temporal variation of tropospheric ozone, this highly controversially discussed Opinion article proposes the establishment of a conceptual, simplified, but widely accepted tropospheric ozone model to facilitate communication between different communities concerned with different ozone impacts, and between ozone research and policy. This step could pave the way for a coordinated global action to improve air quality standards worldwide in an efficient and cost-effective manner.

This manuscript provides a novel and comprehensive assessment of uncertainty associated with sea level rise. The model description is thorough and it is applied to a number of possible scenarios. The conclusions are important for framing future discussions on sea level rise.

Closing the sea level budget (between observed rise and the sum of its causes) has been a challenge, is an ongoing effort and has primarily concerned the global mean. Here, the authors use machine learning to identify sub-areas with similar trends to close the sea level budget on a regional level, with much reduced errors compared with 1-degree grid points.