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	381	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.
	382	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.
	383	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.
	384	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.
	385	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.
	386	Machine learning for automated avalanche terrain exposure scale (ATES) classification Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 11: 4375-4403. 29 S.
	387	Hydrological drought prediction and its influencing features analysis based on a machine learning model Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 11: 4299-4316. 18 S.
	388	Future intensification of compound and consecutive drought and heatwave risks in Europe Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 10: 3879-3895. 17 S.
	389	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.
	390	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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