Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.248 IF 3.248
  • IF 5-year value: 3.650 IF 5-year
    3.650
  • CiteScore value: 3.37 CiteScore
    3.37
  • SNIP value: 1.253 SNIP 1.253
  • SJR value: 1.869 SJR 1.869
  • IPP value: 3.29 IPP 3.29
  • h5-index value: 47 h5-index 47
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 60 Scimago H
    index 60
AMT | Articles | Volume 12, issue 3
Atmos. Meas. Tech., 12, 1841-1860, 2019
https://doi.org/10.5194/amt-12-1841-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 1841-1860, 2019
https://doi.org/10.5194/amt-12-1841-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 20 Mar 2019

Research article | 20 Mar 2019

Cloud base height retrieval from multi-angle satellite data

Christoph Böhm et al.
Related authors  
Using CALIOP to estimate cloud-field base height and its uncertainty: the Cloud Base Altitude Spatial Extrapolator (CBASE) algorithm and dataset
Johannes Mülmenstädt, Odran Sourdeval, David S. Henderson, Tristan S. L'Ecuyer, Claudia Unglaub, Leonore Jungandreas, Christoph Böhm, Lynn M. Russell, and Johannes Quaas
Earth Syst. Sci. Data, 10, 2279-2293, https://doi.org/10.5194/essd-10-2279-2018,https://doi.org/10.5194/essd-10-2279-2018, 2018
Short summary
Related subject area  
Subject: Clouds | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
FRESCO-B: a fast cloud retrieval algorithm using oxygen B-band measurements from GOME-2
Marine Desmons, Ping Wang, Piet Stammes, and L. Gijsbert Tilstra
Atmos. Meas. Tech., 12, 2485-2498, https://doi.org/10.5194/amt-12-2485-2019,https://doi.org/10.5194/amt-12-2485-2019, 2019
Short summary
Application of high-dimensional fuzzy k-means cluster analysis to CALIOP/CALIPSO version 4.1 cloud–aerosol discrimination
Shan Zeng, Mark Vaughan, Zhaoyan Liu, Charles Trepte, Jayanta Kar, Ali Omar, David Winker, Patricia Lucker, Yongxiang Hu, Brian Getzewich, and Melody Avery
Atmos. Meas. Tech., 12, 2261-2285, https://doi.org/10.5194/amt-12-2261-2019,https://doi.org/10.5194/amt-12-2261-2019, 2019
Short summary
Cloud products from the Earth Polychromatic Imaging Camera (EPIC): algorithms and initial evaluation
Yuekui Yang, Kerry Meyer, Galina Wind, Yaping Zhou, Alexander Marshak, Steven Platnick, Qilong Min, Anthony B. Davis, Joanna Joiner, Alexander Vasilkov, David Duda, and Wenying Su
Atmos. Meas. Tech., 12, 2019-2031, https://doi.org/10.5194/amt-12-2019-2019,https://doi.org/10.5194/amt-12-2019-2019, 2019
Short summary
Retrieval of liquid water cloud properties from POLDER-3 measurements using a neural network ensemble approach
Antonio Di Noia, Otto P. Hasekamp, Bastiaan van Diedenhoven, and Zhibo Zhang
Atmos. Meas. Tech., 12, 1697-1716, https://doi.org/10.5194/amt-12-1697-2019,https://doi.org/10.5194/amt-12-1697-2019, 2019
Short summary
Albedo-Ice Regression method for determining ice water content of polar mesospheric clouds using ultraviolet observations from space
Gary E. Thomas, Jerry Lumpe, Charles Bardeen, and Cora E. Randall
Atmos. Meas. Tech., 12, 1755-1766, https://doi.org/10.5194/amt-12-1755-2019,https://doi.org/10.5194/amt-12-1755-2019, 2019
Short summary
Cited articles  
Böhm, C.: MIBase cloud base height derived from satellite data, data set, https://doi.org/10.5880/CRC1211DB.19, 2019. 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, in: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T., Qin, D., Plattner, G.-K., Tignor, M., Allen, S., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P., chap. 7, 571–657, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2013. a
Bull, M., Matthews, J., McDonald, D., Menzies, A., Moroney, C., Mueller, K., Paradise, S., and Smyth, M.: Data Products Specifications, Tech. Rep. JPL D-13963, Revision S, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 2011. a
Costa-Surós, M., Calbó, J., González, J. A., and Long, C. N.: Comparing the cloud vertical structure derived from several methods based on radiosonde profiles and ground-based remote sensing measurements, Atmos. Meas. Tech., 7, 2757–2773, https://doi.org/10.5194/amt-7-2757-2014, 2014. a
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011. a
Publications Copernicus
Download
Short summary
The cloud base height (CBH) is important for air traffic, for describing the energy budget of the Earth and for other applications. Ground-based CBH measurements are only available for individual sites and mostly limited to land. Satellites are a powerful tool for global coverage. While the cloud top height is derived operationally, the derivation of CBH from space is more difficult as the clouds hide their base. Here, we present a method to retrieve the CBH from multi-angle satellite data.
The cloud base height (CBH) is important for air traffic, for describing the energy budget of...
Citation