Atmospheric Research, Journal Year: 2024, Volume and Issue: unknown, P. 107883 - 107883
Published: Dec. 1, 2024
Language: Английский
Atmospheric Research, Journal Year: 2024, Volume and Issue: 309, P. 107552 - 107552
Published: June 28, 2024
Language: Английский
Citations
8
Journal of Advances in Modeling Earth Systems, Journal Year: 2024, Volume and Issue: 16(8)
Published: Aug. 1, 2024
Abstract Different turbulent entrainment‐mixing mechanisms between clouds and environment are essential to cloud‐related processes; however, accurate representation of in weather/climate models still poses a challenge. This study exploits the use machine learning (ML) address this Four ML (Light Gradient Boosting Machine [LGB], eXtreme Boosting, Random Forest, Support Vector Regression) examined compared. It is found that LGB performs best, thus selected understand impact on microphysics using simulation data from Explicit Mixing Parcel Model. Compared with traditional parameterizations, trained provides more microphysical properties (number concentration cloud droplet spectral dispersion). The partial dependences predicted features exhibit strong alignment physical expectations, as determined by interpreting method, overcoming limitations “black box” scheme. underlying smaller number larger dispersion correspond inhomogeneous entrainment‐mixing. Specifically, after positively correlated adiabatic liquid water content affected entrainment‐mixing, inversely volume mean radius. Spectral negatively dissipation rate relative humidity entrained air. Sensitivity analysis further suggests mainly whereas influenced both environmental variables. results indicate scheme has potential enhance models.
Language: Английский
Citations
5
Global and Planetary Change, Journal Year: 2025, Volume and Issue: 245, P. 104696 - 104696
Published: Jan. 5, 2025
Language: Английский
Citations
0
Environment International, Journal Year: 2025, Volume and Issue: 195, P. 109251 - 109251
Published: Jan. 1, 2025
The rapid urbanization in China has brought about serious air pollution problems, which are likely to persist for a considerable period as the process continues. In urban areas, spatial distribution of pollutants represented by PM
Language: Английский
Citations
0
npj Climate and Atmospheric Science, Journal Year: 2025, Volume and Issue: 8(1)
Published: Jan. 13, 2025
Language: Английский
Citations
0
Research, Journal Year: 2025, Volume and Issue: 8
Published: Jan. 1, 2025
Understanding long-term historical changes in cloudiness is essential for elucidating Earth’s climate dynamics and variability its extremes. In this study, we present the first millennial-length reconstruction of annual total cloud cover (TCC) western Mediterranean, covering period from 969 to 2022 CE. Based on a comprehensive set hydrological atmospheric variables, our reveals nuanced pattern evolution over past millennium. We observe an initial increase until 1600 CE, followed by substantial decrease TCC. This shift was driven confluence factors, including eruption Mount Tambora Indonesia 1815, increased solar forcing, positive phase Atlantic Multidecadal Oscillation. These complex have brought modern warming patterns closer those observed during medieval before c. 1250, exceeding background Little Ice Age (c. 1250 1849). particular, recent decades witnessed unprecedented coupling intense activity, high temperatures, lowest record. Our results highlight importance inter-oceanic-scale relationships between forcing mechanisms TCC shaping future trends Mediterranean cloudiness. study provides valuable insights into implications regional beyond.
Language: Английский
Citations
0
Energy and Built Environment, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 1, 2025
Language: Английский
Citations
0
Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(5)
Published: Feb. 26, 2025
Abstract Aerosols modulate cloud and precipitation processes through complex aerosol‐radiation interactions (ARI) aerosol‐cloud (ACI). The influence of aerosols on varies regionally due to many factors, including aerosol characteristics, types, meteorological conditions. Using high‐resolution data from the hourly China merged analysis (CMPA) Version 1.0 mixing ratio Modern‐Era Retrospective Analysis for Research Application 2 (MERRA‐2) during warm seasons 2015–2020, this study employs sulfate () as a CCN proxy investigate distinct impacts warm‐topped cold‐topped rainfall across Sichuan Basin (SCB) North Plain (NCP) regions in China. Our findings reveal that SCB, suppress rain by stabilizing atmosphere, reducing effective radius ( r e ) potentially weakening collision‐coalescence processes. Conversely, events, initially enhance rainfall, but subsequently it at higher concentrations. In NCP, suspended dust increases with rising acting both giant condensation (GCCNs) ice nuclei (INs). This enhances promotes types. Furthermore, radiative effect destabilizes amplifying these Despite variations conditions, consistently exert significant rainfall. research highlights two underscores need further improve climate predictions.
Language: Английский
Citations
0
Atmospheric Research, Journal Year: 2025, Volume and Issue: unknown, P. 108066 - 108066
Published: March 1, 2025
Language: Английский
Citations
0
Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: unknown, P. 137999 - 137999
Published: March 1, 2025
Language: Английский
Citations
0