Results 201 to 210 of about 55,052 (279)

Impact‐Based Drought Detection via Interpretable Machine Learning and Causal Discovery

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract The intensification of drought events due to climate change presents unprecedented risks and widespread socioenvironmental impacts. Traditional drought indices, which rely on hydrometeorological anomalies, often fall short in capturing the full extent of these impacts, as they primarily focus on isolated precursors (e.g., precipitation deficit
Paolo Bonetti   +6 more
wiley   +1 more source

Decreased likelihood of schooling as a consequence of tropical cyclones: Evidence from 13 low- and middle-income countries. [PDF]

open access: yesProc Natl Acad Sci U S A
Jing R   +7 more
europepmc   +1 more source

The importance of weather and climate science in the insurance industry

open access: yes
Weather, Volume 81, Issue 2, Page 46-47, February 2026.
Matthew D. K. Priestley   +1 more
wiley   +1 more source

Detection of Eye Occurrence in Sequential Satellite Infrared Imagery and Its Application to Improve Deep Learning‐Based Tropical Cyclone Intensity Estimation

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Tropical cyclone (TC) intensity estimation remains a critical yet challenging task, especially for intense storms that are often underestimated by both conventional and deep learning satellite‐based methods. Among various structural features, eye formation is the most distinct transformation during TC development and is closely linked to rapid
Yi Liu   +3 more
wiley   +1 more source

Tropical Cyclone Motion, Sixth International Workshop on Tropical Cyclones

open access: yes, 2006
Already at IWTC-V, this topic was focused on tropical cyclone (TC) track prediction rather than on observational, theoretical, or numerical simulations of TC motion, as had been the case in the early IWTCs. The focus in this report will again be on TC track prediction rather than TC motion.
openaire   +1 more source

Neural Operators for Continuous Bias Correction of Water Level Forecast Guidance

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract The National Oceanic and Atmospheric Administration's (NOAA) Global Two‐Dimensional Surge and Tide Operational Forecast System (STOFS‐2D‐Global) provides global operational tidal, subtidal, and total water level forecast guidance with a 7.5‐day horizon.
Atieh Alipour   +10 more
wiley   +1 more source

Physically Consistent Tropical Cyclone Monitoring From Infrared Satellite Imagery via Knowledge‐Guided Deep Learning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Tropical cyclones (TCs) pose significant threats to coastal communities and ecosystems underscoring the need for accurate and timely monitoring of their structure and intensity. Although satellite infrared (IR) imagery provides continuous global coverage, traditional methods for estimating TC parameters, such as center location, intensity, and
Chong Wang, Xiaofeng Li
wiley   +1 more source

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