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281 |
A machine-learning-based perspective on deep convective clouds and their organisation in 3D – Part 1: Influence of deep convective cores on the cloud life cycle
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 10773-10795. 23 S.
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282 |
Dust pollution substantially weakens the impact of ammonia emission reduction on particulate nitrate formation
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 10587-10601. 15 S.
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283 |
Impact of topographic wind conditions on dust particle size distribution: insights from a regional dust reanalysis dataset
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 17: 9583-9600. 18 S.
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284 |
Explainable ensemble machine learning revealing spatiotemporal heterogeneity in driving factors of particulate nitro-aromatic compounds in eastern China
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 15: 8407-8425. 19 S.
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285 |
Tropospheric ozone trends and attributions over East and Southeast Asia in 1995–2019: an integrated assessment using statistical methods, machine learning models, and multiple chemical transport models
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 14: 7991-8028. 38 S.
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286 |
Machine-learning-assisted chemical characterization and optical properties of atmospheric brown carbon in Nanjing, China
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 14: 7619-7645. 27 S.
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287 |
Machine-learning-assisted inference of the particle charge fraction and the ion-induced nucleation rates during new particle formation events
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 13: 7431-7446. 16 S.
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288 |
Predictive understanding of socioeconomic flood impact in data-scarce regions based on channel properties and storm characteristics: application in High Mountain Asia (HMA)
Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 10: 3759-3778. 20 S.
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289 |
Research on the extraction of pre-seismic anomalies in borehole strain data of the Maduo earthquake based on the SVMD-Informer model
Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 9: 3603-3618. 16 S.
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290 |
Predicting Soil Salinity in the Red River Delta (Vietnam) Using Machine Learning and Assessing Farmers' Adaptive Capacity
Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 9: 3505-3524. 20 S.
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