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191 |
Towards a global spatial machine learning model for seasonal groundwater level predictions in Germany
Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 15: 3405-3433. 29 S.
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192 |
The value of hydroclimatic teleconnections for snow-based seasonal streamflow forecasting in central Asia
Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 14: 3055-3071. 17 S.
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193 |
Groundwater head responses to droughts across Germany
Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 13: 2925-2950. 26 S.
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194 |
Global ionospheric sporadic <italic>E</italic> intensity prediction from GNSS RO using a novel stacking machine learning method incorporated with physical observations
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 11517-11534. 18 S.
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195 |
A machine-learning-based perspective on deep convective clouds and their organisation in 3D – Part 2: Spatial–temporal patterns of convective organisation
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 10797-10822. 26 S.
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196 |
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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197 |
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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198 |
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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199 |
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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200 |
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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