
Climate Dynamics, Journal Year: 2025, Volume and Issue: 63(3)
Published: March 1, 2025
Language: Английский
Climate Dynamics, Journal Year: 2025, Volume and Issue: 63(3)
Published: March 1, 2025
Language: Английский
Land, Journal Year: 2025, Volume and Issue: 14(2), P. 394 - 394
Published: Feb. 13, 2025
The urban thermal environment is a critical topic in contemporary studies. However, the mechanisms driving relationships between influencing factors and across different spatial scales temporal dimensions remain unclear, particularly as most of these exhibit nonlinearity. This study utilizes XGBoost SHAP models, combined with partial dependency plot, to analyze influence population activities, built environment, topography, ecological climatic conditions, landscape pattern on diurnal nocturnal land surface temperature (LST) changes rural areas Hangzhou throughout year. results indicate that during daytime, topography exerts strong LST both Hangzhou. At nighttime, activities becomes more pronounced. Meanwhile, patterns show no significant impact either or areas, regardless daytime nighttime. Additionally, we analyzed specific nonlinear LST. Finally, our findings suggest can interact synergistically pairs affect LST, this mechanism being prominent areas. Overall, categorizes examines contributing from perspectives, providing insights for developing planning strategies mitigate heat issues future.
Language: Английский
Citations
0Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106257 - 106257
Published: Feb. 1, 2025
Language: Английский
Citations
0The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 969, P. 178925 - 178925
Published: Feb. 27, 2025
Language: Английский
Citations
0Atmosphere, Journal Year: 2025, Volume and Issue: 16(3), P. 289 - 289
Published: Feb. 28, 2025
In this research, based on a case study of Ukraine, we (1) examined the sensitivity heatwave (HW) climatology to input gridded data and (2) statistically compared HW metrics (such as duration, intensity, etc.) calculated from against similar results derived high-quality station time series. For first task, used mini statistical ensemble datasets daily maximum air temperature (TX). The included following: ClimUAd E-OBS (Ukrainian European observation-based data, respectively), reanalyzes ERA5, ERA5-Land, NOAA-CIRES 20CR V2c V3, NCEP-NCAR R1. second same were along with 178 quality-controlled homogenized TX series Ukraine. HWs their defined according approach summarized by Perkins Alexander (2013). All calculations performed for period 1950–2014. Our showed that, depending dataset, values might differ significantly. Even after averaging over territory ranges between max min remain large. instance, spread in number per year may be up six events. However, differences trend slopes are less pronounced. addition, comparison using that E-OBS, ERA5-Land provide verification statistics. evaluation statistics 20CRV3 worse but significantly better than 20CRV2c findings can aid selecting calculating reliable and, consequently, contribute developing climate adaptation strategies extreme events its neighboring countries, potentially across Europe.
Language: Английский
Citations
0Climate Dynamics, Journal Year: 2025, Volume and Issue: 63(3)
Published: March 1, 2025
Language: Английский
Citations
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