Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-1-2020
https://doi.org/10.5194/essd-12-1-2020
Peer-reviewed comment
 | 
03 Jan 2020
Peer-reviewed comment |  | 03 Jan 2020

Statistical downscaling of water vapour satellite measurements from profiles of tropical ice clouds

Giulia Carella, Mathieu Vrac, Hélène Brogniez, Pascal Yiou, and Hélène Chepfer

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Cited articles

Atkinson, P. M.: Downscaling in remote sensing, Int. J. Appl. Earth Observ. Geoinfo., 22, 106–114, https://doi.org/10.1016/j.jag.2012.04.012, 2013. a, b
Bierkens, M. F. P., Finke, P. A., and De Willigen, P.: Upscaling and Downscaling Methods for Environmental Research, Kluwer Academic, Dordrecht, The Netherlands, 2000. 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. K., Sherwood, S., Stevens, B., and Zhang, X. Y.: 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. F., Qin, D., Plattner, G.-K., Tignor, M.,Allen, S. K., Doschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, 571–657, https://doi.org/10.1017/CBO9781107415324.016, 2013. a
Breiman, J. F., Stone C. J., and Olshen R. A.: Classification and Regression Trees, CRC Press, 368 pp., 1984. a
Breiman, L.: Bagging predictors, Mach. Learn., 24, 123–140, 1996. a
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Observations of relative humidity for ice clouds over the tropical oceans from a passive microwave sounder are downscaled by incorporating the high-resolution variability derived from simultaneous co-located cloud profiles from a lidar. By providing a method to generate pseudo-observations of relative humidity at high spatial resolution, this work will help revisit some of the current key barriers in atmospheric science.
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