Results 51 to 60 of about 3,860 (163)

Predictive Ecosystem Health Assessment Under Land‐Use and Vegetation Dynamics in a Semi‐Arid Rift Valley Basin, Ethiopia

open access: yesLand Degradation &Development, Volume 37, Issue 14, Page 10417-10439, 30 August 2026.
ABSTRACT Land degradation driven by rapid land‐use and climate‐driven vegetation dynamics increasingly threatens ecosystem stability in semi‐arid wetland basins, yet predictive ecosystem health assessments remain limited in Sub‐Saharan Africa. This study evaluates historical dynamics and future trajectories of ecosystem health in the Ziway‐Shalla Sub ...
Brook Legese   +2 more
wiley   +1 more source

The Singapore Nanopore Expression Project (SG-NEx) data pre-release v0.1

open access: yes, 2020
Please refer to https://github.com/GoekeLab/sg-nex-data for detailed description of the SG-NEx ...
The Singapore Nanopore Expression Consortium
core   +1 more source

Assessing Impact of Temperature Variability of Climate Change on Mortality Based on Multiple GCM Projections in China

open access: yesAtmosphere, 2022
Gradually increasing durations of high temperature caused by climate change harm the health of individuals and then lead to death. This study aimed to investigate the relationship between durations of different daily mean air-temperature categories and ...
Xiangyi Zheng   +5 more
doaj   +1 more source

Assessing Taiwan's Future Climate: High Resolution Projections and Regional Impacts From Statistical Downscaling of CMIP6 Data

open access: yesInternational Journal of Climatology, Volume 46, Issue 10, August 2026.
The Taiwan Empirical‐Statistical Downscaling (TaiESD) dataset utilises quantile mapping (QM) for temperature and quantile delta mapping (QDM) for precipitation bias correction. It was developed to provide high‐resolution climate change information for Taiwan.
Cheng‐Ta Chen   +3 more
wiley   +1 more source

Intensifying Climate Extremes Over the Tibetan Plateau: Past–Future Changes and Implications for Railway Infrastructure

open access: yesEarth and Space Science, Volume 13, Issue 7, July 2026.
Abstract Climate extremes over the Tibetan Plateau (TP) are intensifying and can threaten high‐altitude railways by altering permafrost stability, freeze–thaw regimes, drainage pressure, and hydro‐geomorphic hazards, yet their evolution for railways remains insufficiently quantified. Using CN05.1 observations (1961–2022) and an evaluated NEX‐GDDP‐CMIP6
Bohao Li   +9 more
wiley   +1 more source

Can wet heatwaves be represented by CMIP6 models and bias-corrected NEX-GDDP-CMIP6?

open access: yesWeather and Climate Extremes
As global warming intensifies, wet heatwaves pose an increasing threat to human health. As global climate models (GCMs) and their bias-corrected datasets are commonly used in wet heatwave research, it is essential to determine whether these datasets ...
Zihui Zhao, Shuiqing Yin, Jim Hall
doaj   +1 more source

Pronounced Spatiotemporal Differences of Compound Flooding Inundation in China's Coastal Cities Under Climate Change

open access: yesWater Resources Research, Volume 62, Issue 7, July 2026.
Abstract China's coastal cities face increasingly severe compound flooding driven by rainfall and sea levels under climate change. However, the spatiotemporal variation patterns of compound inundation across China's coast remain insufficiently assessed.
Kui Xu   +5 more
wiley   +1 more source

Climate-Driven Streamflow Responses in the Jinghe River Basin Under CMIP6 Scenarios Using a Regionalized EA-LSTM

open access: yesAtmosphere
Climate change may alter both basin-outlet water availability and runoff responses within large semi-arid tributaries. We evaluated climate-driven runoff changes at four gauged catchments in the Jinghe River Basin using a 16-gauge, multi-gauge EA-LSTM ...
Qijia Yuan   +3 more
doaj   +1 more source

Projected Annual and Monsoonal Precipitation Trends of CMIP6 Over Peninsular Malaysia

open access: yesInternational Journal of Climatology, Volume 46, Issue 7, 15 June 2026.
In this study, we examined historical and projected precipitation temporal trends across Peninsular Malaysia using ground‐based records and CMIP6 models from NEX‐GDDP. Analysing data from 518 reliable gauges over 1973–2022, it identified spatial and monsoonal variations.
Nurul Afiqah Mohamad Arbai   +1 more
wiley   +1 more source

High-resolution machine-learning downscaled climate projections and extreme hazard assessment over monsoon-dominated Odisha, India

open access: yesGeomatics, Natural Hazards & Risk
This study develops a grid-wise eXtreme Gradient Boosting (XGBoost) framework for bias correction and statistical downscaling of daily precipitation, maximum temperature (Tmax), and minimum temperature (Tmin) over Odisha using 30 years (1985–2014) of ...
Nishikanta Kar, Sarat Chandra Sahu
doaj   +1 more source

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