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841 |
Machine learning parameterization of the multi-scale Kain–Fritsch (MSKF) convection scheme and stable simulation coupled in the Weather Research and Forecasting (WRF) model using WRF–ML v1.0
Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 9: 3667-3685. 19 S.
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842 |
Diagnosing drivers of PM<sub>2.5</sub> simulation biases in China from meteorology, chemical composition, and emission sources using an efficient machine learning method
Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 9: 3617-3629. 13 S.
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843 |
CH4Net: a deep learning model for monitoring methane super-emitters with Sentinel-2 imagery
Enthalten in Atmospheric measurement techniques Bd. 17, 2024, Nr. 9: 2583-2593. 11 S.
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844 |
NorSand4AI: a comprehensive triaxial test simulation database for NorSand constitutive model materials
Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 8: 3175-3197. 23 S.
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845 |
Carbon Monitor Power-Simulators (CMP-SIM v1.0) across countries: a data-driven approach to simulate daily power generation
Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 7: 2663-2682. 20 S.
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846 |
A machine learning approach for evaluating Southern Ocean cloud radiative biases in a global atmosphere model
Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 7: 2641-2662. 22 S.
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847 |
Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP
Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 6: 2387-2417. 31 S.
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848 |
High-resolution multi-scaling of outdoor human thermal comfort and its intra-urban variability based on machine learning
Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 4: 1667-1688. 22 S.
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849 |
GPEP v1.0: the Geospatial Probabilistic Estimation Package to support Earth science applications
Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 3: 1153-1173. 21 S.
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850 |
GeoPDNN 1.0: a semi-supervised deep learning neural network using pseudo-labels for three-dimensional shallow strata modelling and uncertainty analysis in urban areas from borehole data
Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 3: 957-973. 17 S.
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