Results 211 to 220 of about 87,061 (278)

Iconic or Routine Disasters? Environmental Learning in Aotearoa New Zealand

Kōtuitui: New Zealand Journal of Social Sciences Online, Volume 21, Issue 3, September 2026.
Eric Pawson, Katie Pickles, Michael Roche   +2 more
wiley   +1 more source

Pressure: reimagining the D‐Day forecast through machine learning

Weather, Volume 81, Issue 9, Page 284-293, September 2026.
We reproduce the D‐Day forecasts, one of the most iconic and famous forecasts ever made and the subject of the new film ‘Pressure’ using a machine‐learning model, AIFS‐ENS. While James Stagg and the forecast teams would likely have been able to hugely benefit from the probabilistic information from these ensemble forecasts, our analysis highlights that
Andrew Charlton‐Perez, Stephen Burt, Hannah Cloke, Ed Hawkins, Robert Lee, Adrian Simmons, Ambrogio Volonte   +6 more
wiley   +1 more source

Impact of flooding events on waterborne and vector-borne infections: a systematic review. [PDF]

BMC Infect Dis
Luangnara A, Towachiraporn S, Wiwatkunupakarn N, Thongwitokomarn H.   +3 more
europepmc   +1 more source

River Sand and Gravel Mining: Global Drivers, Impacts, and Pathways for Sustainable Management

Reviews of Geophysics, Volume 64, Issue 3, September 2026.
Abstract River sand and gravel are mined worldwide at volumes that now rival their natural replenishment, yet quantitative knowledge of this mining activity and its consequences lags far behind many other global environmental pressures. We synthesize 411 peer‐reviewed studies published since 1974 within a new Driver‐to‐Management Pathway for ...
Edward Park, Christopher R. Hackney, Dung Duc Tran, Mette Bendixen, Jim Best, Kai Wan Yuen, Hannah Runeckles, Md Sadiul Alam Chyon, Karl Kästner, Sonu Kumar, Halinishi Yusuf, Vanessa Lamb, Lars L. Iversen, Aelis Spiller, Rajiv Sinha, Eduardo Francisco da Silva, Enner Alcantara, Chengcheng Wu, Chengpeng Lu, Chu Jian, Jingyu Wang, Nguyen Duc Thien, Lian Feng, Priyank Pravin Patel, Jiachun Huang, Adam D. Switzer   +25 more
wiley   +1 more source

Impact of climate change on water-related physical events, consequent human migration, and burden of drowning in India: An evidence synthesis. [PDF]

J Family Med Prim Care
Beri D, Elkington J, Moola S, Bhaumik S, Jagnoor J.   +4 more
europepmc   +1 more source

Quantifying Future Effects of Low‐Frequency Tropical Cyclones and Sea Level Rise Scenarios on Nonlinear Interactions in Total Water Levels

Earth's Future, Volume 14, Issue 9, September 2026.
Abstract Total water levels during tropical cyclones (TCs) are triggered by multiple synergistic drivers that nonlinearly interact in space and time, including mean sea level, astronomical tides, storm surge, and waves. It is also known that TC characteristics, sea level rise (SLR), and hydrodynamic and morphologic features influence such nonlinear ...
Md Shadman Sakib, David F. Muñoz, Thomas Wahl, Jennifer L. Irish   +3 more
wiley   +1 more source

Unfolding North American spring weather extremes along a scale ladder. [PDF]

Sci Rep
Hwang J, You Z, Deng Y, Kim H.
europepmc   +1 more source

Impacts of two types of ENSO on tropical cyclone tracks affecting South Korea: A clustering-based approach. [PDF]

iScience
Kim HK, Park JY, Chu JE.
europepmc   +1 more source

Characteristics of Extratropical Cyclones Under Uniform SST Warming and Increased CO2 Forcing in a Global Storm‐Resolving Model

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 9, September 2026.
Abstract Using the GFDL EXperimental System for High‐resolution prediction on Earth‐to‐Local Domains (X‐SHiELD), a global storm‐resolving atmosphere model with a slab ocean, we examine extratropical cyclone (ETC) responses under three scenarios: 4 K sea surface temperature (SST) warming, increased CO2 concentration, and their combination.
M. Yang, Z. Wang, L. Harris, K.‐Y. Cheng   +3 more
wiley   +1 more source

Phase Transition of CO2‐Driven Equatorial Pacific Warming Pattern Governed by Ocean Dynamics and Remote Forcing

AGU Advances, Volume 7, Issue 6, September 2026.
Abstract Climate models robustly project an El Niño–like warming under rising CO2, yet recent observations show the opposite with enhanced zonal SST gradients. Whether the long‐term projection is relevant for interpreting historical trends remains questionable.
Dirk Olonscheck, Sarah M. Kang
wiley   +1 more source