Johannes Quaas
Universität Leipzig
H-index: 52
Europe-Germany
Top articles of Johannes Quaas
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
General circulation models simulate negative liquid water path–droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path | EGUsphere | Johannes Mülmenstädt Edward Gryspeerdt Sudhakar Dipu Johannes Quaas Andrew S Ackerman | 2024/1/9 |
A Physics-informed Deep Learning Based Clustering to Investigate the Impact of Regional European Radiative Forcing on Arctic Climate and Upper Atmospheric Dynamics | Sina Mehrdad Dörthe Handorf Ines Höschel Khalil Karami Johannes Quaas | 2024/3/7 | |
Can GCMs represent cloud adjustments to aerosol–cloud interactions? | EGUsphere | Johannes Mülmenstädt Andrew S Ackerman Ann M Fridlind Meng Huang Po-Lun Ma | 2024/3/28 |
Optimizing Kilometer-Scale Climate Modeling: Refining Cloud Microphysics Using Machine Learning and Satellite Correlation | Hannah Marie Eichholz Jan Kretzschmar Josefine Umlauft Johannes Quaas | 2024/3/7 | |
Earth Virtualization Engines (EVE) | Earth System Science Data Discussions | Bjorn Stevens Stefan Adami Tariq Ali Hartwig Anzt Zafer Aslan | 2023/9/22 |
Leveraging surface observations and passive satellite retrievals of cloud properties: Applications to cloud type classification and cloud base height retrieval | Julien Lenhardt Johannes Quaas Dino Sejdinovic Daniel Klocke | 2024/3/7 | |
Ice crystal numbers in Arctic clouds over sea ice and ocean: satellite retrievals and cloud-resolving modelling | Iris Papakonstantinou Presvelou Johannes Quaas | 2024/3/7 | |
Subgrid-scale variability of cloud ice in the ICON-AES 1.3. 00 | Geoscientific Model Development Discussions | Sabine Doktorowski Jan Kretzschmar Johannes Quaas Marc Salzmann Odran Sourdeval | 2023/11/9 |
Exploring the Interaction between Aircraft Emissions and Cirrus Clouds: Through Simulation Techniques and Satellite retrievals | Sajedeh Marjani Johannes Quaas | 2024/3/7 | |
Marine cloud base height retrieval from MODIS cloud properties using machine learning | EGUsphere | Julien Lenhardt Johannes Quaas Dino Sejdinovic | 2024/2/7 |
Radiative adjustments after a 4%-reduction of the solar constant, based on data from the abrupt-solm4p experiment (CFMIP from CMIP6) | Charlotte Lange Johannes Quaas | 2024/3/7 | |
ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data | Maria C Novitasari Johannes Quaas Miguel Rodrigues | 2024/4/18 | |
Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach | EGUsphere | Sina Mehrdad Dörthe Handorf Ines Höschel Khalil Karami Johannes Quaas | 2024/1/18 |
Biodiversity changes atmospheric chemistry through plant volatiles and particles | Anvar Sanaei Hartmut Herrmann Loreen Alshaabi Jan Beck Olga Ferlian | 2024/3/7 | |
Recent reductions in aerosol emissions have increased Earth’s energy imbalance | Communications Earth & Environment | Øivind Hodnebrog Gunnar Myhre Caroline Jouan Timothy Andrews Piers M Forster | 2024/4/3 |
Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data | Maria Carolina Novitasari Johannes Quaas Miguel Rodrigues | 2023 | |
Climatological Arctic sea ice defines the strength of future Arctic amplification | Olivia Linke Nicole Feldl Johannes Quaas | 2023/7/11 | |
Biodiversity and climate extremes: known interactions and research gaps | Miguel D Mahecha Ana Bastos Friedrich Bohn Nico Eisenhauer Hannes Feilhauer | 2023/9 | |
Enhancement of cloud glaciation and rain frequency by airborne pollen | EGU General Assembly Conference Abstracts | Jan Kretzschmar Christian Wirth Mira Pöhlker Frank Stratmann Heike Wex | 2023/5 |
Earth's energy imbalance trend strengthened by recent aerosol emission reductions | EGU General Assembly Conference Abstracts | Øivind Hodnebrog Gunnar Myhre Hailing Jia Johannes Quaas Caroline Jouan | 2023/5 |
