Articles | Volume 18, issue 23
https://doi.org/10.5194/acp-18-17601-2018
https://doi.org/10.5194/acp-18-17601-2018
Research article
 | 
12 Dec 2018
Research article |  | 12 Dec 2018

Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator

Martin Stengel, Cornelia Schlundt, Stefan Stapelberg, Oliver Sus, Salomon Eliasson, Ulrika Willén, and Jan Fokke Meirink

Related authors

A Lagrangian perspective on the lifecycle and cloud radiative effect of deep convective clouds over Africa
William K. Jones, Martin Stengel, and Philip Stier
Atmos. Chem. Phys., 24, 5165–5180, https://doi.org/10.5194/acp-24-5165-2024,https://doi.org/10.5194/acp-24-5165-2024, 2024
Short summary
CLAAS-3: the third edition of the CM SAF cloud data record based on SEVIRI observations
Nikos Benas, Irina Solodovnik, Martin Stengel, Imke Hüser, Karl-Göran Karlsson, Nina Håkansson, Erik Johansson, Salomon Eliasson, Marc Schröder, Rainer Hollmann, and Jan Fokke Meirink
Earth Syst. Sci. Data, 15, 5153–5170, https://doi.org/10.5194/essd-15-5153-2023,https://doi.org/10.5194/essd-15-5153-2023, 2023
Short summary
Sensitivity of cloud-phase distribution to cloud microphysics and thermodynamics in simulated deep convective clouds and SEVIRI retrievals
Cunbo Han, Corinna Hoose, Martin Stengel, Quentin Coopman, and Andrew Barrett
Atmos. Chem. Phys., 23, 14077–14095, https://doi.org/10.5194/acp-23-14077-2023,https://doi.org/10.5194/acp-23-14077-2023, 2023
Short summary
Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology
Arndt Kaps, Axel Lauer, Rémi Kazeroni, Martin Stengel, and Veronika Eyring
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-424,https://doi.org/10.5194/essd-2023-424, 2023
Revised manuscript accepted for ESSD
Short summary
CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023
Karl-Göran Karlsson, Martin Stengel, Jan Fokke Meirink, Aku Riihelä, Jörg Trentmann, Tom Akkermans, Diana Stein, Abhay Devasthale, Salomon Eliasson, Erik Johansson, Nina Håkansson, Irina Solodovnik, Nikos Benas, Nicolas Clerbaux, Nathalie Selbach, Marc Schröder, and Rainer Hollmann
Earth Syst. Sci. Data, 15, 4901–4926, https://doi.org/10.5194/essd-15-4901-2023,https://doi.org/10.5194/essd-15-4901-2023, 2023
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
A Lagrangian perspective on the lifecycle and cloud radiative effect of deep convective clouds over Africa
William K. Jones, Martin Stengel, and Philip Stier
Atmos. Chem. Phys., 24, 5165–5180, https://doi.org/10.5194/acp-24-5165-2024,https://doi.org/10.5194/acp-24-5165-2024, 2024
Short summary
Daytime variation in the aerosol indirect effect for warm marine boundary layer clouds in the eastern North Atlantic
Shaoyue Qiu, Xue Zheng, David Painemal, Christopher R. Terai, and Xiaoli Zhou
Atmos. Chem. Phys., 24, 2913–2935, https://doi.org/10.5194/acp-24-2913-2024,https://doi.org/10.5194/acp-24-2913-2024, 2024
Short summary
Technical note: Bimodal parameterizations of in situ ice cloud particle size distributions
Irene Bartolomé García, Odran Sourdeval, Reinhold Spang, and Martina Krämer
Atmos. Chem. Phys., 24, 1699–1716, https://doi.org/10.5194/acp-24-1699-2024,https://doi.org/10.5194/acp-24-1699-2024, 2024
Short summary
Inter-relations of precipitation, aerosols, and clouds over Andalusia, southern Spain, revealed by the Andalusian Global ObseRvatory of the Atmosphere (AGORA)
Wenyue Wang, Klemens Hocke, Leonardo Nania, Alberto Cazorla, Gloria Titos, Renaud Matthey, Lucas Alados-Arboledas, Agustín Millares, and Francisco Navas-Guzmán
Atmos. Chem. Phys., 24, 1571–1585, https://doi.org/10.5194/acp-24-1571-2024,https://doi.org/10.5194/acp-24-1571-2024, 2024
Short summary
On the relationship between mesoscale cellular convection and meteorological forcing: comparing the Southern Ocean against the North Pacific
Francisco Lang, Steven T. Siems, Yi Huang, Tahereh Alinejadtabrizi, and Luis Ackermann
Atmos. Chem. Phys., 24, 1451–1466, https://doi.org/10.5194/acp-24-1451-2024,https://doi.org/10.5194/acp-24-1451-2024, 2024
Short summary

Cited articles

Bao, X. and Zhang, F.: Evaluation of NCEP-CFSR, NCEP-NCAR, ERA-Interim, and ERA-40 Reanalysis Datasets against Independent Sounding Observations over the Tibetan Plateau, J. Clim., 26, 206–214, https://doi.org/10.1175/JCLI-D-12-00056.1, 2013. a
Betts, A. K., Köhler, M., and Zhang, Y.: Comparison of river basin hydrometeorology in ERA-Interim and ERA-40 reanalyses with observations, J. Geophys. Res.-Atmos., 114, D02101, https://doi.org/10.1029/2008JD010761, 2009. a
Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J.-L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.: COSP: Satellite simulation software for model assessment, Bull. Am. Meteorol. Soc., 92, 1023–1043, https://doi.org/10.1175/2011BAMS2856.1, 2011. a
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S., Sherwood, S., Stevens, B., and Zhang, X.: Clouds and Aerosols, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, book section 7, 571–658, https://doi.org/10.1017/CBO9781107415324.016, 2013. a, b
Cesana, G., Kay, J., Chepfer, H., English, J., and Boer, G.: Ubiquitous low-level liquid-containing Arctic clouds: New observations and climate model constraints from CALIPSO-GOCCP, Geophys. Res. Lett., 39, https://doi.org/10.1029/2012GL053385, 2012. a
Download
Short summary
We present a new approach to evaluate ERA-Interim reanalysis clouds using satellite observations. A simplified satellite simulator was developed that uses reanalysis fields to emulate clouds as they would have been seen by those satellite sensors which were used to compose Cloud_cci observational cloud datasets. Our study facilitates an adequate evaluation of modelled ERA-Interim clouds using observational datasets, also taking into account systematic uncertainties in the observations.
Altmetrics
Final-revised paper
Preprint