River Floods Under Wetter Antecedent Conditions Deliver Coarser Sediment to the Coast DOI Creative Commons
Amy E. East, Alexander G. Snyder, Andrew W. Stevens

et al.

Geophysical Research Letters, Journal Year: 2025, Volume and Issue: 52(8)

Published: April 13, 2025

Abstract Increasing hydrologic volatility—more extreme rain, and larger variations between wet dry years—has become apparent in some regions, but few data exist to determine how intensifying extremes affect sedimentary systems. Using uniquely high‐resolution records of fluvial suspended sediment coastal morphology, we quantify responses from a steep, 357‐km 2 watershed California under conditions. In years with multiple 2‐ 10‐year floods, coarsened significantly as the season progressed, late‐season floods delivering dominantly sand‐sized material coast. Greater coarser supply wetter antecedent conditions affected nearshore geomorphic evolution for 4–5 years. The changes documented point an increasing role sediment‐related hazards (flooding hillslope erosion) resources (nearshore accretion) seasons intensify.

Language: Английский

Global data-driven prediction of fire activity DOI Creative Commons
Francesca Di Giuseppe, Joe McNorton,

Anna Lombardi

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 1, 2025

Abstract Recent advancements in machine learning (ML) have expanded the potential use across scientific applications, including weather and hazard forecasting. The ability of these methods to extract information from diverse novel data types enables transition forecasting fire weather, predicting actual activity. In this study we demonstrate that shift is feasible also within an operational context. Traditional forecasts tend over predict high danger, particularly fuel limited biomes, often resulting false alarms. By using on characteristics, ignitions observed activity, data-driven predictions reduce false-alarm rate high-danger forecasts, enhancing their accuracy. This made possible by quality global datasets evolution detection. We find input more important when improving than complexity ML architecture. While focus justified, our findings highlight importance investing high-quality and, where necessary create it through physical models. Neglecting aspect would undermine gains ML-based approaches, emphasizing essential achieve meaningful progress activity

Language: Английский

Citations

0

Changes in the Regional Water Cycle and Their Impact on Societies DOI Creative Commons
F. Hugo Lambert, Richard P. Allan, Ali Behrangi

et al.

Wiley Interdisciplinary Reviews Climate Change, Journal Year: 2025, Volume and Issue: 16(2)

Published: March 1, 2025

ABSTRACT Changes in “blue water”, which is the total supply of fresh water available for human extraction over land, are quite closely related to changes runoff or equivalently precipitation minus evaporation, . This article examines how climate change‐driven recent past and future regional cycle relate blue availability demand. Although at largest scales theoretical numerical model predictions broad agreement with observations, continental below models predict large ranges possible especially scale individual river catchments shorter timescale subseasonal floods droughts. Nevertheless, it expected that occurrence severity will increase droughts may increase, possibly compounded by human‐driven non‐climatic such as land use, dam impoundment, irrigation groundwater. Contemporary assessments increases 21st century many highly‐populated regions unlikely be sustainable given projections To reduce uncertainty predictions, there an urgent need improve modeling atmospheric, surface processes these components coupled. should supported maintaining observing network expanding measurements surface, oceanic atmospheric variables. includes development satellite observations stable multiple decades suitable building reanalysis datasets appropriate evaluation.

Language: Английский

Citations

0

Rethinking drought definition and classification DOI Creative Commons
Wen Wang, Hao Wang

Water Science and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

Understanding the transformative potential of solar thermal technology for urban sustainability DOI Creative Commons
Stefania Guarino, Valerio Lo Brano,

Jan Kosny

et al.

Frontiers in Sustainable Cities, Journal Year: 2025, Volume and Issue: 7

Published: April 8, 2025

Language: Английский

Citations

0

Terrestrial water storage in 2024 DOI
Bailing Li, Matthew Rodell, Himanshu Save

et al.

Nature Reviews Earth & Environment, Journal Year: 2025, Volume and Issue: 6(4), P. 261 - 263

Published: April 11, 2025

Language: Английский

Citations

0

Compound weather and climate events in 2024 DOI
Jakob Zscheischler, Colin Raymond, Yang Chen

et al.

Nature Reviews Earth & Environment, Journal Year: 2025, Volume and Issue: 6(4), P. 240 - 242

Published: April 11, 2025

Language: Английский

Citations

0

River Floods Under Wetter Antecedent Conditions Deliver Coarser Sediment to the Coast DOI Creative Commons
Amy E. East, Alexander G. Snyder, Andrew W. Stevens

et al.

Geophysical Research Letters, Journal Year: 2025, Volume and Issue: 52(8)

Published: April 13, 2025

Abstract Increasing hydrologic volatility—more extreme rain, and larger variations between wet dry years—has become apparent in some regions, but few data exist to determine how intensifying extremes affect sedimentary systems. Using uniquely high‐resolution records of fluvial suspended sediment coastal morphology, we quantify responses from a steep, 357‐km 2 watershed California under conditions. In years with multiple 2‐ 10‐year floods, coarsened significantly as the season progressed, late‐season floods delivering dominantly sand‐sized material coast. Greater coarser supply wetter antecedent conditions affected nearshore geomorphic evolution for 4–5 years. The changes documented point an increasing role sediment‐related hazards (flooding hillslope erosion) resources (nearshore accretion) seasons intensify.

Language: Английский

Citations

0