132 results on '"QUAAS, JOHANNES"'
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2. Supplementary material to "Can GCMs represent cloud adjustments to aerosol–cloud interactions?"
3. Spatial Aggregation of Satellite Observations Leads to an Overestimation of the Radiative Forcing due to Aerosol-Cloud Interactions
4. Marine cloud base height retrieval from MODIS cloud properties using machine learning
5. Cloud condensation nuclei concentrations derived from the CAMS reanalysis
6. Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach
7. Wälder-Wolken-Wechselwirkungen.
8. General circulation models simulate negative liquid water path–droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path
9. Subgrid-scale variability of cloud ice in the ICON-AES-1.3.00
10. Constraints on simulated past Arctic amplification and lapse rate feedback from observations
11. Cloud condensation nuclei concentrations derived from the CAMS reanalysis
12. Classification of flying insects in polarimetric weather radar using machine learning and aphid trap data
13. Supplementary material to "Exploring aerosol-cloud interactions over eastern China and its adjacent ocean using the WRF-SBM-MOSAIC model"
14. Exploring aerosol-cloud interactions over eastern China and its adjacent ocean using the WRF-SBM-MOSAIC model
15. Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation
16. From MODIS cloud properties to cloud types using semi-supervised learning
17. Emergent constraints on the future Arctic lapse-rate feedback
18. Earth’s energy imbalance trend strengthened by recent aerosol emission reductions
19. Enhancement of cloud glaciation and rain frequency by airborne pollen
20. Classification of flying insects in NEXRAD polarimetric weather radar using machine learning and aphid trap data
21. Soil Hot Extremes are Increasing Faster than Air Hot Extremes Regionally
22. Towards machine-learning calibration of cloud parameters in the kilometre-resolution ICON atmosphere model
23. Evaluate parameterizations of cloud droplet spectral dispersion by using worldwide aircraft data
24. Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area
25. Robust evidence for reversal of the trend in aerosol effective climate forcing
26. Incorporation of aerosols into the COSPv2 satellite lidar simulator for climate model evaluation
27. Reply on RC3
28. Black carbon aerosol reductions during COVID-19 confinement quantified by aircraft measurements over Europe
29. Impact of Holuhraun volcano aerosols on clouds in cloud-system-resolving simulations
30. Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations
31. Supplementary material to "Robust evidence for reversal in the aerosol effective climate forcing trend"
32. Robust evidence for reversal in the aerosol effective climate forcing trend
33. Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1
34. Supplementary material to "Meteorological, Impact and Climate perspectives of the 29 June 2017 Heavy Precipitation Event in the Berlin Metropolitan Area"
35. Assessment of ice clouds - aerosol interactions in global satellite observations
36. Exploring the Effect of Aerosol on Marine Cloud Cover Using a Counterfactual Approach
37. Sensitivity of stratospheric pathways of Arctic-midlatitude linkages to the modification of the gravity wave drag parameterization in ICON model using deep learning
38. Exploring satellite-derived relationships between cloud droplet number concentration and liquid water path using large-domain large-eddy simulation
39. Combining cloud properties and synoptic observations to predict cloud base height using Machine Learning
40. Modeling the transition from the aerosol- to the updraft-limited cloud droplet susceptibility regime in large-eddy simulations with bulk microphysics
41. Ice microphysics of low-level ice clouds in the Arctic: Satellite analysis
42. Machine learning to quantify cloud responses to aerosols from satellite data
43. Addressing the difficulties in quantifying the Twomey effect for marine warm clouds from multi-sensor satellite observations and reanalysis
44. The nature of the Arctic lapse-rate feedback: Spatial distribution, seasonality and trends in ERA5 and CMIP6 data
45. The timescales of climate responses to carbon dioxide and aerosols
46. Satellite observations of the impact of individual aircraft on ice crystal number in cirrus clouds
47. Opportunistic experiments to constrain aerosol effective radiative forcing
48. Supplementary material to "Addressing the difficulties in quantifying the Twomey effect for marine warm clouds from multi-sensor satellite observations and reanalysis"
49. Black carbon aerosol reductions during COVID-19 confinement quantified by aircraft measurements over Europe
50. Ice microphysics of low-level ice clouds in the Arctic: Satellite analysis
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