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Wildfires burned 384 Mha of land in 2023, the highest since 2017 but 5% lower than the 2001–2022 average. These fires emitted an estimated 2,524 Tg C, 30% of which came from Canada’s record fire season.
Avalanche conditions and related risks are influenced by ongoing changes in temperature and precipitation. This Review synthesizes existing data, approaches and results to highlight dominant patterns of change and how they are linked to climate change and other socio-environmental factors.
Intense rainfall events resulting from strong atmospheric river activity two and three millennia ago exceeded those of the 20th century around Leonard Lake, California, according to a 3,200-year reconstruction of integrated vapor transport derived from sediment geochemical data.
Coastal wetlands are vulnerable to sea-level rise. Here, the authors use 16 years of data to correlate vegetation dieback in the Mississippi River Delta to drought-induced salt water intrusion in the summer of 2012.
Uncertainties associated with the choice of dry indicators impact future projections of compound hot-dry extremes and are greater than scenario uncertainty in some regions, according to an analysis of different indices from multi-model ensemble simulations.
Wildfires have increased in frequency and intensity due to climate change and have had severe impacts on the built environment worldwide. Moving forward, models should take inspiration from epidemic network modeling to predict damage to individual buildings and understand the impact of different mitigations on the community vulnerability in a network setting.
Wildfires burned 384 Mha of land in 2023, the highest since 2017 but 5% lower than the 2001–2022 average. These fires emitted an estimated 2,524 Tg C, 30% of which came from Canada’s record fire season.
Ambient temperature increases occurring under climate change could induce livestock heat stress, resulting in lambing losses and an estimated economic burden of up to Australian $166 million per annum to the Australian sheep industry.
Self-supervised learning offers a promising way of downscaling the total water storage anomaly data from the Gravity Recovery and Climate Experiment (GRACE) satellites, contributing to a better understanding of the impact of natural climate variability and human activities at basin scales.
Learning from the 2023 Kahramanmaraş Earthquake Sequence offers valuable insights into disaster recovery. Carmine Galasso and Eyitayo Opabola delve into the intricacies of the “Build Back Better” (BBB) concept, underscoring the importance of recovery and reconstruction efforts toward a future that is not only more resilient but also more sustainable and equitable.