Results 171 to 180 of about 1,624 (261)

Research on a Hybrid Self-Powered Landslide Rainfall Sensor Based on Triboelectric Nanogenerators and Electromagnetic Generators. [PDF]

Micromachines (Basel)
Zou H, Zuo Z, Shen X, Song K, Mao S, Chen B.   +5 more
europepmc   +1 more source

Spatial and Temporal Patterns of Extreme Hourly Rainfall in the Hawaiian Islands

International Journal of Climatology, EarlyView.
The extreme rainfall trends in Hawaiʻi were revealed by hourly rainfall data: Across islands, Kauaʻi and Hawaiʻi Island had larger events at a return period. Annual maximum series of 15 gauges showed significant positive trends. While extreme rainfall trends show increases or decreases regionally, the trends varied with rainfall duration.
Maxime Gayte, Yu‐Fen Huang, Yinphan Tsang, Pao‐Shin Chu, Thomas W. Giambelluca, Hanpei Zhang   +5 more
wiley   +1 more source

Bentonite nanoclay and spray techniques as a nano pico technology (NPT) for enhancing mortar in heritage and historical buildings. [PDF]

Sci Rep
Jalalifar S, Niroumand H, Afsharpour M, Balachowski L, Rajabi S.   +4 more
europepmc   +1 more source

A Zonal‐Meridional Projection Method for Quantifying Global Land‐Ocean Moisture Transport

International Journal of Climatology, EarlyView.
We present a physically consistent and computationally efficient method to quantify global coastal moisture transport by projecting vertically integrated moisture flux onto signed land–ocean boundary segments. The signed projection naturally distinguishes ocean‐to‐land inflow and land‐to‐ocean outflow without explicit directional classification ...
Chong Zhang, Guohe Huang, Chenglong Zhang   +2 more
wiley   +1 more source

Food Security Outlook for Eastern Africa by 2050: Climate Change Impacts and Population-Driven Demand Gaps. [PDF]

Curr Environ Health Rep
Simane B, Berhane K, Samet J, Oguge O, Atuyambe L, Shah M, Kumie A, Jack D.   +7 more
europepmc   +1 more source

Satellite and Reanalysis Dataset Dependence of ETCCDI Extreme Precipitation Trends in Paraná, Southern Brazil

International Journal of Climatology, EarlyView.
Extreme precipitation trends detected in Paraná, Southern Brazil (1983–2024), are strongly conditioned by the dataset used, with reanalyses indicating coherent inland drying and longer dry spells, observations retaining stronger mesoscale heterogeneity, and satellite products often showing declines in short‐duration extremes. Monthly diagnostics reveal
Paulo Miguel de Bodas Terassi, Jakeline Baratto, Vitor Hugo Rosa Biffi   +2 more
wiley   +1 more source

A machine learning-coupled APSIM model pipeline for projected oil palm yield in Surat Thani, Thailand. [PDF]

PLoS One
Jantaraprasit N, Promchote P, Wang SS, Daengnui S, Motlagh SK, de Lima Moraes AG, França L, Yoon JH, Phumichai C, Kittipadakul P.   +9 more
europepmc   +1 more source

Representation of Long‐Term Observed UK Winter Precipitation Trends and Variability in UKCP18 Global Climate Models

International Journal of Climatology, EarlyView.
Evaluating historical precipitation trends is complicated by interactions between variability in atmospheric circulation and thermodynamic forcing. This study assesses 1901–2023 UK winter precipitation trends in UK Climate Projections 2018 (UKCP18) global climate models using dynamical adjustment to separate circulation‐driven and non‐dynamical ...
James G. Carruthers, Hayley J. Fowler, Daniel Bannister, Selma B. Guerreiro   +3 more
wiley   +1 more source

The Transport of Microplastics from Soil in Response to Surface Runoff and Splash Erosion. [PDF]

Environ Sci Technol
Severe E, Surridge BWJ, Fiener P, Coogan MP, Platel RH, James MR, Quinton J.   +6 more
europepmc   +1 more source

Intercomparison of a Regional Climate Model Ensemble for Selected European Catchments

International Journal of Climatology, EarlyView.
This study analyzes a regional climate model ensemble for water cycle and water resource research with two models. Results show that ICON generally outperforms TSMP1 simulations, mainly with 2‐m temperature and precipitation. These findings serve as a baseline evaluation that shows how key structural differences influence the model skill.
Jane Leonor Roque, Francis Da Silva Lopes, Julian Alberto Giles, Benjamin D. Gutknecht, Bernd Schalge, Yikui Zhang, Marco Ferro, Petra Friederichs, Klaus Goergen, Stefan Poll, Arianna Valmassoi   +10 more
wiley   +1 more source