Results 251 to 260 of about 334,647 (325)

The response of small boreal catchments to extreme weather event: Hurricane Larry. [PDF]

PLoS One
Heerah KM, Clarke KG, Reader HE.
europepmc   +1 more source

Heat, Humidity, and Adverse Birth Outcomes: Quantification of Projected Risks in the Contiguous United States

GeoHealth, Volume 10, Issue 6, June 2026.
Abstract Research increasingly demonstrates relationships between higher apparent temperatures, inclusive of heat and humidity, and greater rates of preterm birth (PTB), term low birth weight (tLBW), and stillbirth cases. Through leveraging available epidemiological studies, we estimated the change in burden of these outcomes across the contiguous ...
Megan Sheahan, Rupa Basu, Stefania Papatheodorou, Charles Fant, Benjamin Jeweler, Isabel Holland, James E. Neumann, Caitlin A. Gould   +7 more
wiley   +1 more source

21st-Century Mangrove Expansion Along the Southeastern United States. [PDF]

Glob Chang Biol
Enes Gramoso LIA, Carroll D, Cavanaugh KC, Bardou R, Osland MJ, Van der Stocken T.   +5 more
europepmc   +1 more source

Re‐Evaluating Springtime as Southern Arizona's Dust Season

GeoHealth, Volume 10, Issue 6, June 2026.
Abstract The existing literature largely identifies spring as Arizona's predominant dust season, when synoptic‐scale dust events are most frequent and “Fine Soil” measurements from the IMPROVE (Interagency Monitoring of Protected Visual Environments) network reach a yearly maximum.
Ellis S. Robinson, Labiba J. Noushin, Carolina Martinez Guajardo, Chris Chaeha Lim, Avelino Arellano, Armin Sorooshian   +5 more
wiley   +1 more source

Hospital preparedness for one of the worst predicted hurricane seasons on record - why this time is different. [PDF]

Lancet Reg Health Am
Hertelendy AJ, Fugate C, Ciottone GR.
europepmc   +1 more source

Subsurface Ventilation Processes in a Wind‐Driven Coastal System: Insights From the Gulf of Oristano (Italy)

Journal of Geophysical Research: Oceans, Volume 131, Issue 6, June 2026.
Abstract High‐resolution, year‐long observations (2023–2024) were conducted in the Gulf of Oristano, a shallow semi‐enclosed basin on the western coast of Sardinia, to address the scarcity of sustained in situ measurements resolving sub‐seasonal coastal processes in the Mediterranean.
Andrea Cucco, Giovanni Quattrocchi, Alberto Ribotti, Andrea Satta, Tasneem Ahmed, Jacobo Martin, Roberto Sorgente, Angelo Perilli, Fabio Antognarelli, James Dariush Karimi, Massimo Salvatore Giovanni Marras, Roberto Brundu, Matteo Sinerchia   +12 more
wiley   +1 more source

Weathering the storms of climate change: Preparing persons with disabilities and the physiatrists who provide their care for extreme hurricanes. [PDF]

PM R
Andreae M, Shultz JM, Shepherd JM, Espinel Z, Shapiro LT.   +4 more
europepmc   +1 more source

Contrasting Net Community Production in the Oligotrophic Western North Pacific Subtropical Gyre During the Late Summers of 2020 and 2022: The Roles of Multiple Environmental Drivers

Journal of Geophysical Research: Oceans, Volume 131, Issue 6, June 2026.
Abstract Although the North Pacific Subtropical Gyre (NPSG) is among the most oligotrophic regions, its vast expanse means that small productivity shifts can alter the global carbon budget. We quantified net community production (NCP) from high‐resolution O2 ${\mathrm{O}}_{2}$/Ar measurements and gross primary production (GPP) from 18O incubations in ...
Inhee Lee, Doshik Hahm, Young Shin Kwon, Seon‐Eun Lee, Geun‐Ha Park, Young Ho Ko, Junhyeong Seo, Wonsun Park, Tae‐Wook Kim, Sok Kuh Kang   +9 more
wiley   +1 more source

An event based analysis of extreme rainfall and historical trend in southern Tamil Nadu. [PDF]

Sci Rep
Deepthi BP, Vishwanth KN, Harikeerthan MK, Irukumati S, Devaraj S, Sowmya HN, Wadhwa A, Soundarrajan A, A KA, Loganathan P.   +9 more
europepmc   +1 more source

Advancing Tropical Cyclone Intensity Forecasts Over the South China Sea With a Meteorology‐Aware and Attention‐Enhanced Deep Learning Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Accurate tropical cyclone (TC) intensity (TCI) prediction is critical for effective disaster preparedness. Although machine learning‐based weather prediction models demonstrate strong performance in simulating TC tracks, their TCI predictions show systematic biases.
Yuan Tang, Yu Zhang, Xun Li, Shifei Tu, Jianjun Xu, Shunqi Zeng, Duanzhou Shao, Jiazheng Hu, Qichang Tan, Junjie Feng, Xiwen Liang   +10 more
wiley   +1 more source