Articles | Volume 13, issue 10
https://doi.org/10.5194/acp-13-5351-2013
https://doi.org/10.5194/acp-13-5351-2013
Research article
 | 
28 May 2013
Research article |  | 28 May 2013

CLARA-A1: a cloud, albedo, and radiation dataset from 28 yr of global AVHRR data

K.-G. Karlsson, A. Riihelä, R. Müller, J. F. Meirink, J. Sedlar, M. Stengel, M. Lockhoff, J. Trentmann, F. Kaspar, R. Hollmann, and E. Wolters

Related authors

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
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
Cloud-probability-based estimation of black-sky surface albedo from AVHRR data
Terhikki Manninen, Emmihenna Jääskeläinen, Niilo Siljamo, Aku Riihelä, and Karl-Göran Karlsson
Atmos. Meas. Tech., 15, 879–893, https://doi.org/10.5194/amt-15-879-2022,https://doi.org/10.5194/amt-15-879-2022, 2022
Short summary
A simulator for the CLARA-A2 cloud climate data record and its application to assess EC-Earth polar cloudiness
Salomon Eliasson, Karl-Göran Karlsson, and Ulrika Willén
Geosci. Model Dev., 13, 297–314, https://doi.org/10.5194/gmd-13-297-2020,https://doi.org/10.5194/gmd-13-297-2020, 2020
Short summary
Satellite observations of aerosols and clouds over southern China from 2006 to 2015: analysis of changes and possible interaction mechanisms
Nikos Benas, Jan Fokke Meirink, Karl-Göran Karlsson, Martin Stengel, and Piet Stammes
Atmos. Chem. Phys., 20, 457–474, https://doi.org/10.5194/acp-20-457-2020,https://doi.org/10.5194/acp-20-457-2020, 2020
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Low-level Arctic clouds: a blind zone in our knowledge of the radiation budget
Hannes Jascha Griesche, Carola Barrientos-Velasco, Hartwig Deneke, Anja Hünerbein, Patric Seifert, and Andreas Macke
Atmos. Chem. Phys., 24, 597–612, https://doi.org/10.5194/acp-24-597-2024,https://doi.org/10.5194/acp-24-597-2024, 2024
Short summary
Climatologically invariant scale invariance seen in distributions of cloud horizontal sizes
Thomas D. DeWitt, Timothy J. Garrett, Karlie N. Rees, Corey Bois, Steven K. Krueger, and Nicolas Ferlay
Atmos. Chem. Phys., 24, 109–122, https://doi.org/10.5194/acp-24-109-2024,https://doi.org/10.5194/acp-24-109-2024, 2024
Short summary
Variability and properties of liquid-dominated clouds over the ice-free and sea-ice-covered Arctic Ocean
Marcus Klingebiel, André Ehrlich, Elena Ruiz-Donoso, Nils Risse, Imke Schirmacher, Evelyn Jäkel, Michael Schäfer, Kevin Wolf, Mario Mech, Manuel Moser, Christiane Voigt, and Manfred Wendisch
Atmos. Chem. Phys., 23, 15289–15304, https://doi.org/10.5194/acp-23-15289-2023,https://doi.org/10.5194/acp-23-15289-2023, 2023
Short summary
Asymmetries in cloud microphysical properties ascribed to sea ice leads via water vapour transport in the central Arctic
Pablo Saavedra Garfias, Heike Kalesse-Los, Luisa von Albedyll, Hannes Griesche, and Gunnar Spreen
Atmos. Chem. Phys., 23, 14521–14546, https://doi.org/10.5194/acp-23-14521-2023,https://doi.org/10.5194/acp-23-14521-2023, 2023
Short summary
Quantifying the dependence of drop spectrum width on cloud drop number concentration for cloud remote sensing
Matthew D. Lebsock and Mikael Witte
Atmos. Chem. Phys., 23, 14293–14305, https://doi.org/10.5194/acp-23-14293-2023,https://doi.org/10.5194/acp-23-14293-2023, 2023
Short summary

Cited articles

Bekryaev, R. V., Polyakov, I. V., and Alexeev, V. A.: Role of Polar Amplification in Long-Term Surface Air Temperature Variations and Modern Arctic Warming, J. Climate, 23, 3888–3906, https://doi.org/10.1175/2010JCLI3297.1, 2010.
Coppo, P., Ricciarelli, B., Brandani, F., Delderfield, J, Ferlet, M., Mutlow, C., Munro, G., Nightingale, T., Smith, D., Bianchi, S., Nicol, P., Kirschstein, S., Hennig, T., Engel, W., Frerick, J., and Nieke, J.: SLSTR: a high accuracy dual scan temperature radiometer for sea and land surface monitoring from space, Journal of Modern Optics, 57, 1815–1830, Special Issue: Advanced Infrared Technology and Applications. Selected papers from the 10th International Workshop, 8–11 September 2009.
Davis, G.: History of the NOAA satellite program, Appl. Remote Sens., 1, 012504, https://doi.org/10.1117/1.2642347, 2007.
De Haan, J. F., Bosma, P., and Hovenier, J. W.: The adding method for multiple scattering calculations of polarized light, Astron. Astrophys., 183, 371–391, 1987.
Download
Altmetrics
Final-revised paper
Preprint