Articles | Volume 18, issue 20
https://doi.org/10.5194/acp-18-15183-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-15183-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating cloud properties in an ensemble of regional online coupled models against satellite observations
Rocío Baró
Department of Physics, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, Spain
now at: Section Chemical Weather Forecasts, Division Data/Methods/Modelling, ZAMG – Zentralanstalt für Meteorologie und Geodynamik, Vienna, Austria
Pedro Jiménez-Guerrero
CORRESPONDING AUTHOR
Department of Physics, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, Spain
Martin Stengel
Deutscher Wetterdienst (DWD) Frankfurter Str. 135, Offenbach, Germany
Dominik Brunner
Laboratory for Air Pollution and Environmental Technology, Empa, Dübendorf, Switzerland
Gabriele Curci
Department of Physical and Chemical Sciences, University L'Aquila, L'Aquila (AQ), Italy
Center of Excellence in Telesening of Environment and Model Prediction of Severe Events (CETEMPS), University of L'Aquila, L'Aquila (AQ), Italy
Renate Forkel
Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung, Atmosphärische Umweltforschung (IMK-IFU), Karlsruhe, Germany
Lucy Neal
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Laura Palacios-Peña
Department of Physics, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, Spain
Nicholas Savage
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Martijn Schaap
Netherlands Organization for Applied Scientific Research (TNO), Utrecht, the Netherlands
Paolo Tuccella
Department of Physical and Chemical Sciences, University L'Aquila, L'Aquila (AQ), Italy
Center of Excellence in Telesening of Environment and Model Prediction of Severe Events (CETEMPS), University of L'Aquila, L'Aquila (AQ), Italy
Hugo Denier van der Gon
Netherlands Organization for Applied Scientific Research (TNO), Utrecht, the Netherlands
Stefano Galmarini
European Commission, Joint Research Centre (JRC), Directorate for Energy, Transport and Climate, Air and Climate Unit, Ispra (VA), Italy
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Cited
7 citations as recorded by crossref.
- Aerosol optical properties over Europe: an evaluation of the AQMEII Phase 3 simulations against satellite observations L. Palacios-Peña et al. 10.5194/acp-19-2965-2019
- Precipitation response to aerosol–radiation and aerosol–cloud interactions in regional climate simulations over Europe J. López-Romero et al. 10.5194/acp-21-415-2021
- Added Value of Aerosol-Cloud Interactions for Representing Aerosol Optical Depth in an Online Coupled Climate-Chemistry Model over Europe L. Palacios-Peña et al. 10.3390/atmos11040360
- Chemistry‐Weather Interacted Model System GRAPES_Meso5.1/CUACE CW V1.0: Development, Evaluation and Application in Better Haze/Fog Prediction in China H. Wang et al. 10.1029/2022MS003222
- Isolating Large‐Scale Smoke Impacts on Cloud and Precipitation Processes Over the Amazon With Convection Permitting Resolution R. Herbert et al. 10.1029/2021JD034615
- The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model S. Eliasson et al. 10.5194/gmd-12-829-2019
- Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties M. Stengel et al. 10.5194/essd-12-41-2020
7 citations as recorded by crossref.
- Aerosol optical properties over Europe: an evaluation of the AQMEII Phase 3 simulations against satellite observations L. Palacios-Peña et al. 10.5194/acp-19-2965-2019
- Precipitation response to aerosol–radiation and aerosol–cloud interactions in regional climate simulations over Europe J. López-Romero et al. 10.5194/acp-21-415-2021
- Added Value of Aerosol-Cloud Interactions for Representing Aerosol Optical Depth in an Online Coupled Climate-Chemistry Model over Europe L. Palacios-Peña et al. 10.3390/atmos11040360
- Chemistry‐Weather Interacted Model System GRAPES_Meso5.1/CUACE CW V1.0: Development, Evaluation and Application in Better Haze/Fog Prediction in China H. Wang et al. 10.1029/2022MS003222
- Isolating Large‐Scale Smoke Impacts on Cloud and Precipitation Processes Over the Amazon With Convection Permitting Resolution R. Herbert et al. 10.1029/2021JD034615
- The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model S. Eliasson et al. 10.5194/gmd-12-829-2019
- Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties M. Stengel et al. 10.5194/essd-12-41-2020
Latest update: 16 Aug 2024
Short summary
Particles in the atmosphere, such as pollution, desert dust, and volcanic ash, have an impact on meteorology. They interact with incoming radiation resulting in a cooling effect of the atmosphere. Today, the use of meteorology and chemistry models help us to understand these processes, but there are a lot of uncertainties. The goal of this work is to evaluate how these interactions are represented in the models by comparing them to satellite data to see how close they are to reality.
Particles in the atmosphere, such as pollution, desert dust, and volcanic ash, have an impact on...
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