Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Rapid and reliable coastal inundation mapping from Synthetic Aperture Radar (SAR) imagery is vital for disaster response. Although recent deep learning advances have enhanced this task's accuracy and automation, two major challenges remain: (a) geographic and imaging variations across flood events limit the generalizability of supervised ...
Wantai Chen +3 more
wiley +1 more source
A scoping review and thematic analysis of the effects of tropical cyclones on diarrheal diseases. [PDF]
Environ EpidemiolLin SY +9 more
europepmc +1 more source
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.Abstract Past evaluation of artificial intelligence (AI) weather prediction has primarily relied on reanalyses, which can obscure important deficiencies due to prevailing biases in reanalyses themselves. Here, we present MAUSAM (Measuring AI Uncertainty during South Asian Monsoon), an evaluation of seven leading AI‐based prediction systems—FourCastNet,
Aman Gupta, Aditi Sheshadri, Dhruv Suri
wiley +1 more source
Author Correction: Seasonal advance of intense tropical cyclones in a warming climate. [PDF]
NatureShan K, Lin Y, Chu PS, Yu X, Song F.
europepmc +1 more source
Applying Transfer Learning for Street‐Scale Nuisance Flood Forecasting in Coastal‐Urban Environments
Water Resources Research, Volume 62, Issue 8, August 2026.Abstract An important challenge with Machine Learning (ML) is its transferability; that is, whether an ML model trained on one set of data can be applied to a second set of data without requiring full retraining of the model. Transfer Learning (TL) addresses this challenge by transferring knowledge learned in the source domain (the data it was trained ...
Binata Roy +6 more
wiley +1 more source
A database for the outer sizes of tropical cyclones over the Middle Americas. [PDF]
Data BriefPerez-Estrada A, Dominguez C.
europepmc +1 more source
Transient Ecological Niches for Diazotrophs in Upwelling Bays
Journal of Geophysical Research: Oceans, Volume 131, Issue 8, August 2026.Abstract Diazotrophs, microorganisms capable of fertilizing the ocean through biological nitrogen fixation (BNF), are widespread in the oceans, including upwelling bays. However, their ability to respond to short‐lived upwelling pulses, lasting only a few days, remains poorly understood. To investigate diazotrophy across temporal scales, we analyzed 18
D. Fernández‐Román +13 more
wiley +1 more source
Decreased likelihood of schooling as a consequence of tropical cyclones: Evidence from 13 low- and middle-income countries. [PDF]
Proc Natl Acad Sci U S AJing R +7 more
europepmc +1 more source
Short‐Term Hourly Weather Forecasting Using PredRNN With Image Preprocessing
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Global weather forecast models are vital tools with numerous applications, including public safety, agriculture, and transportation. Recent advancements in artificial intelligence (AI) and deep learning (DL) have shown the potential to enhance weather forecasting accuracy and speed.
Hoang Tran +9 more
wiley +1 more source
Changes of upper ocean disturbance caused by tropical cyclones in the Western North Pacific main development region (1993-2021). [PDF]
PLoS OneLiu Y, Chen F, Ma Z, Shao Y, Yan J.
europepmc +1 more source