Linking hydroclimate indices to projected warming temperature and increased precipitation under CMIP6 for a sub-arctic basin DOI Creative Commons
Christine Kaggwa Nakigudde, Alireza Sharifi, Sogol Moradian

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 56, P. 102059 - 102059

Published: Nov. 27, 2024

Language: Английский

Multi-stage optimization framework for synergetic grey-green infrastructure in response to long-term climate variability based on shared socio-economic pathways DOI
Shiqi Zhou,

Haifeng Diao,

Jiahui Wang

et al.

Water Research, Journal Year: 2025, Volume and Issue: 274, P. 123091 - 123091

Published: Jan. 6, 2025

Language: Английский

Citations

12
Prediction and Influencing Factors of Precipitation in the Songliao River Basin, China: Insights from CMIP6 DOI Open Access

Hongnan Yang,

Zhijun Li

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2297 - 2297

Published: March 6, 2025

The Songliao River Basin (SLRB) is a key agricultural region in China, and understanding precipitation variations can provide crucial support for water resource management sustainable development. This study used CN05.1 observational data the Coupled Model Intercomparison Project Phase 6 (CMIP6) to simulate evaluate characteristics within SLRB. optimal model ensemble was selected future predictions. We analyzed historical SLRB projected under SSP126, SSP245, SSP585, while exploring driving factors influencing precipitation. results indicated that EC-Earth3-Veg (0.507) BCC-CSM2-MR (0.493) from MME2 effectively capture variations, with corrected more closely matching actual characteristics. From 1971 2014, showed an insignificant increasing trend, most concentrated between May September. Precipitation basin decreased southeast northwest. 2026 2100, trend became significant. of growth over time as follows: SSP126 < SSP245 SSP585. Future distribution resembled period, but area semiarid regions gradually humid increased, particularly long-term increase will become pronounced, significant expansion high-precipitation areas. In low-latitude, high-longitude areas, events were expected occur, impact altitude relatively weaker. response changes temperature shifts negative positive. Under this becomes average by 4.87% every 1 °C rise temperature.

Language: Английский

Citations

0
Recent intensified riverine CO2 emission across the Northern Hemisphere permafrost region DOI Creative Commons
Cuicui Mu, Kun Li, Shaoda Liu

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 16, 2025

Language: Английский

Citations

0
The combined impacts of aerosols and urbanization on a high threated extreme precipitation event in Beijing, China DOI Creative Commons

Tai-Chen Feng,

Tiangang Yuan,

Zhiyuan Hu

et al.

Advances in Climate Change Research, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

2
Assessment of Teleconnections of Extreme Precipitation with Large-Scale Climate Indices: A Case Study of the Zishui River Basin, China DOI Open Access
Yuqing Peng, Zengchuan Dong,

Tianyan Zhang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11235 - 11235

Published: Dec. 21, 2024

With global climate change, the frequency of extreme precipitation events in Zishui River Basin (ZRB) is increasing, presenting significant challenges for water resource management. This study focuses on analyzing evolution trends during flood season from 1979 to 2018 and investigating their remote correlations with 18 large-scale indicators (LCIs) using three-dimensional (3D) Vine Copula. The results indicate a downward trend sustained wetness index (CWD) season, while other indices (EPIs) are not significant. Notably, correlation exists between Maximum Precipitation One Day (RX1day) Pacific Decadal Oscillation (PDO), North American pattern (PNO), Sustained Drought Index (CDD), as well Atlantic Multi-decadal (AMO) PDO. Excluding optimal marginal distribution PDO, which follows Laplace distribution, distributions conform Beta distribution. C-Vine Copula function was employed establish functional relationships among RX1day, PNO, CDD, AMO, allowing an analysis impact model fitting EPIs under different LCI scenarios. findings this ZRB inland monsoon zones, providing scientific foundation addressing extremes enhancing monitoring prediction capabilities region.

Language: Английский

Citations

1
Linking hydroclimate indices to projected warming temperature and increased precipitation under CMIP6 for a sub-arctic basin DOI Creative Commons
Christine Kaggwa Nakigudde, Alireza Sharifi, Sogol Moradian

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 56, P. 102059 - 102059

Published: Nov. 27, 2024

Language: Английский

Citations

0