Forecasting climate risk and heat stress hazards in arid ecosystems: Machine learning and ensemble models for specific humidity prediction in Dammam, Saudi Arabia

Natural Hazards, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Language: Английский

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Climate extremes and land use carbon emissions: Insight from the perspective of sustainable land use in the eastern coast of China

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 452, P. 142219 - 142219

Published: April 11, 2024

Language: Английский

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Analysis of future climate variability under CMIP6 scenarios based on a downscaling method considering wet days in the upper Yangtze River basin, China

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(2)

Published: Jan. 13, 2025

Abstract According to recent studies, the past decade was hottest on record, and climate change is accelerating. As part of Yangtze River Basin, largest river basin in China, Upper Basin (UYRB) plays a crucial role as primary source hydropower. However, UYRB also one most climate-sensitive regions within basin, making impact this area particularly critical. We downscaled CMIP6 GCMs’ outputs precipitation (including wet/dry spells sequence correction), temperature projections (2024–2100), under four typical Shared Socioeconomic Pathways (SSPs), we pursued trend analysis upon these potential future series. found significant upward trends across all SSPs August, but no for same month. Additionally, SSP370 SSP585, there are December, while showed during that This may result drier winters than now, increased evapotranspiration, reduced surface (snow) water storage, impacting resources availability. Consecutive dry/wet days at station, scale show spatial-temporal heterogeneity, generally wet longer, dry shorten moving from South-East North-West.

Language: Английский

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Effects of urban stormwater pollution on watershed diffuse loads under extreme precipitation conditions

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132802 - 132802

Published: Feb. 1, 2025

Language: Английский

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A Multidecadal Assessment of Drought Intensification in the Middle East and North Africa: The Role of Global Warming and Rainfall Deficit

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Language: Английский

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A novel approach for evaluation of CMIP6 GCMs in simulating temperature and precipitation extremes of Pakistan

International Journal of Climatology, Journal Year: 2024, Volume and Issue: 44(2), P. 592 - 612

Published: Jan. 18, 2024

Abstract The study used a hybrid approach to evaluate the performance of 20 global climate models (GCMs) from CMIP6 in reproducing extreme temperature and precipitation indices over Pakistan. This first analysed future simulations extremes discarded GCMs whose projections fell outside 95% confidence interval. remaining GCMs' was evaluated using Kling Gupta Efficiency‐based criteria. changes climatic events Pakistan were projected multi‐model ensemble (MME) median selected for four shared socioeconomic pathways (SSPs) two periods, 2020–2059 2060–2099. Four showed inconsistency projecting initially. past revealed EC‐Earth3‐Veg‐LR, GFDL‐ESM4, MRI‐ESM2‐0 NOR‐ESM2‐MM be effective historical period. MME gradual increase most periods all SSPs across country. Specifically, it higher daily maximum (TXx) by 4.5–5°C, minimum (TNn) more than 4.5°C, consecutive days with 95th percentile (WSDI) >160 days, one‐day rainfall 9–15 mm above >50 northern high‐elevated areas during 2060–2099 SSP585. Similarly, TXx TNn >4.5°C, WSDI 140 tropical nights 40–60 also found western arid region highlights that regions are at risk temperatures due change.

Language: Английский

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Basin-Scale Daily Drought Prediction Using Convolutional Neural Networks in Fenhe River Basin, China

Atmosphere, Journal Year: 2024, Volume and Issue: 15(2), P. 155 - 155

Published: Jan. 25, 2024

Drought is a natural disaster that occurs globally and can damage the environment, disrupt agricultural production cause large economic losses. The accurate prediction of drought effectively reduce impacts droughts. Deep learning methods have shown promise in prediction, with convolutional neural networks (CNNs) being particularly effective handling spatial information. In this study, we employed deep approach to predict Fenhe River (FHR) basin, taking into account meteorological conditions surrounding regions. We used daily SAPEI (Standardized Antecedent Precipitation Evapotranspiration Index) as evaluation index. Our results demonstrate effectiveness CNN model predicting events 1~10 days advance. evaluated predictions made by model; average Nash–Sutcliffe efficiency (NSE) between predicted true values for next 10 was 0.71. While accuracy slightly decreased longer lengths, remained stable heavy are typically difficult predict. Additionally, key variables were identified, found training these led higher than it all variables. This study approves an when considering

Language: Английский

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Enhancing Soil Resilience to Climatic Wetting‐Drying Cycles Through a Bio‐Mediated Approach

Journal of Geophysical Research Earth Surface, Journal Year: 2024, Volume and Issue: 129(5)

Published: May 1, 2024

Abstract Climatic wetting‐drying cycles exacerbated by climate change can trigger several weakening mechanisms in surface soils, potentially leading to instability and failure of slopes earthen structures. This study proposes a bio‐mediated approach based on microbially induced calcite precipitation (MICP) increase soil resilience cycles. To explore its viability the underlying mechanisms, we conducted series laboratory tests clayey that underwent six The were with different treatment methods investigate effect sequence cementation solution concentration. After MICP treatment, initial evaporation rate, crack ratio during drying, total weight loss rainfall erosion reduced up 32%, 85%, 90%, respectively. Spraying first proves more effective improving water retention capacity. On other hand, initiating bacterial demonstrates pronounced reducing desiccation cracks erosion. Microstructure analysis reveals content distribution CaCO 3 are major factors controlling effectiveness for soil. Employing minimize carbon footprint contribute developing environmentally friendly solutions improvement regions affected climatic

Language: Английский

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Compound dry and hot events over major river basins of the world from 1921 to 2020

Weather and Climate Extremes, Journal Year: 2024, Volume and Issue: 44, P. 100679 - 100679

Published: May 9, 2024

Compound dry and hot events (CDHEs) are among the most destructive compound extremes. Under global warming, changes in precipitation, temperature their dependence make profound contributions to CDHEs. In this paper, of these three factors explicitly quantified based on a novel mathematical method. Specifically, time series precipitation employed identify CDHEs then attributed by using partial derivatives-based sensitivity analysis. Based Climatic Research Unit Time-Series (CRU TS), case study is devised for major river basins (MRBs) world. The results highlight that from period 1921-1970 1971-2020, did occur more frequently across MRBs. tended largest contribution, followed between temperature. Africa, South America Western Europe, rising generally dominant factor increases heatwaves contribute Asia, droughts along with raise risk For MRBs moderate temperature, increasing shown mitigate or even offset risks meantime, observed reduce frequency Huai He Mississippi though therein increasing. Overall, attributing 1921 2020 can serve as reference preparation mitigation

Language: Английский

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Extreme rainfall events in the Metropolitan Region of Rio de Janeiro: Variability and trends

Urban Climate, Journal Year: 2025, Volume and Issue: 59, P. 102330 - 102330

Published: Feb. 1, 2025

Language: Английский

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