Results 191 to 200 of about 41,093 (264)

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

International Journal of Climatology, EarlyView.
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, Yu‐Shiang Tung, Chun‐Yu Wang, Shiou‐Li Lin   +3 more
wiley   +1 more source

Risk Assessment of Dynamic Diffusion of Urban Non-Point Source Pollution Under Extreme Rainfall. [PDF]

Toxics
Wen T, Li C, Liu J, Wang P.
europepmc   +1 more source

Extreme Climate Events in Morocco: Historical Analysis and Future Projections Based on CMIP6 Simulations

International Journal of Climatology, EarlyView.
Historical observations and bias‐corrected CMIP6 projections reveal intensifying warm extremes, declining cold events and increasingly irregular precipitation patterns across Morocco. Future warming, particularly under SSP5‐8.5, produces an almost linear amplification of heat, aridity and hydrological stress, leading to longer droughts and more intense
Oualid Hakam, Abdelhakim Amazirh, El Houssaine Bouras, Victor Ongoma, Abdelghani Chehbouni   +4 more
wiley   +1 more source

Urban development pattern's influence on extreme rainfall occurrences. [PDF]

Nat Commun
Yang L, Yang Y, Shen Y, Yang J, Zheng G, Smith J, Niyogi D.   +6 more
europepmc   +1 more source

Analysis of Climate Variability of Homogeneous Regions of Rainfall Anomalies in Southeast South America (SESA)

International Journal of Climatology, EarlyView.
We studied rainfall variability and cyclicity in six Homogeneous Regions of Rainfall Anomalies (HRRA) in Southeast South America (SESA) from 1961 to 2020 to understand the occurrence of droughts and above‐average rainfall. We use a continental analysis scale, focusing on seasonal, interannual, and interdecadal cycles, and their association with modes ...
Tainã Costa Peres, Francisco Eliseu Aquino, Denilson Ribeiro Viana, Éder Leandro Bayer Maier, Pedro Teixeira Valente   +4 more
wiley   +1 more source

Utilizing non-stationary extreme value model to quantify extreme rainfall in two major cities in Bangladesh. [PDF]

Stoch Environ Res Risk Assess
Dey AK, Patwary MSA.
europepmc   +1 more source

Degradation of Seasonally Frozen Ground in the Three–River Source Region and Its Correlation Impact Within Precipitation–Runoff Process

International Journal of Climatology, EarlyView.
This study reveals how climate change alters the water cycle in the Three Rivers Source region by degrading its important ‘solid groundwater’ (seasonally frozen ground). We found that runoff response varies by watershed and the role of permafrost decreases sharply, making water supply more dependent on rainfall and becoming increasingly vulnerable ...
Chenchen Ren, Xiangde Xu, Jieru Ma, Bingrong Zhou, Na Dong, Wenyue Cai, Chunzhu Wang   +6 more
wiley   +1 more source

Dynamic failure mechanisms and hazard evaluation of rock collapse induced by extreme rainfall in Changbai County highways. [PDF]

Sci Rep
Liu X, Lang Q, Zhang J, Zhang Y, Yu C, Jin Q, Liu Y, Wan Z, Liu P.   +8 more
europepmc   +1 more source

Projections of Meteorological Drought and Potential Evapotranspiration Using the RegCM4 Over Northeastern Iran

International Journal of Climatology, EarlyView.
We downscale CanESM2 with the Regional Climate Model version 4 (20 km) and evaluate against 15 stations to derive monthly PET (Hargreaves–Samani) and SPEI for northeastern Iran (1990–2009, 2040–2059, 2080–2099). Results show robust PET increases and a shift toward more negative monthly SPEI—especially April–September—indicating earlier onset and longer
Nasrin Salehnia, Peter T. Wolter, Sylvester Chikabvumbwa, Fateme Hosseini, Sohrab Kolsoumi, Ali Farid, Hashem Zahedipour   +6 more
wiley   +1 more source

Assessment of landslide susceptibility in watersheds during extreme rainfall using a complex network of slope units. [PDF]

Sci Rep
Wang C, Zhou J, Wang Z, Yang Y, Lu J, Kang D, Wang S, Zhang H.   +7 more
europepmc   +1 more source