World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Retrieval of Cirrus Cloud Optical Thickness and Top Altitude from Geostationary Remote Sensing : Volume 7, Issue 4 (24/04/2014)

By Kox, S.

Click here to view

Book Id: WPLBN0004000186
Format Type: PDF Article :
File Size: Pages 39
Reproduction Date: 2015

Title: Retrieval of Cirrus Cloud Optical Thickness and Top Altitude from Geostationary Remote Sensing : Volume 7, Issue 4 (24/04/2014)  
Author: Kox, S.
Volume: Vol. 7, Issue 4
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Ostler, A., Bugliaro, L., & Kox, S. (2014). Retrieval of Cirrus Cloud Optical Thickness and Top Altitude from Geostationary Remote Sensing : Volume 7, Issue 4 (24/04/2014). Retrieved from http://www.ebooklibrary.org/


Description
Description: Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany. A novel approach for the detection of cirrus clouds and the retrieval of optical thickness and top altitude based on the measurements of the Spinning Enhanced Visible and Infrared Imager (SEVIRI) aboard the geostationary Meteosat Second Generation (MSG) satellite is presented. Trained with 8 000 000 co-incident measurements of the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) aboard the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission the new cirrus optical properties derived from CALIOP and SEVIRI algorithm during day and night (COCS) algorithm utilizes a backpropagation neural network to provide accurate measurements of cirrus optical depth τ at Λ =532 nm and top altitude z every 15 min covering almost one third of Earth's atmosphere. The retrieved values are validated with independent measurements of CALIOP and the optical thickness derived by an airborne high spectral resolution lidar.

Summary
Retrieval of cirrus cloud optical thickness and top altitude from geostationary remote sensing

Excerpt
Ackerman, T. P., Liou, K.-N., Valero, F. P. J., and Pfister, L.: Heating rates in tropical anvils, J. Atmos. Sci., 45, 1606–1623, 2.0.CO;2>doi:10.1175/1520-0469(1988)045<1606:HRITA>2.0.CO;2, 1988.; Aires, F., Prigent, C., Rossow, W. B., and Rothstein, M.: A new neural network approach including first guess for retrieval of atmospheric water vapor, cloud liquid water path, surface temperature, and emissivities over land from satellite microwave observations, J. Geophys. Res., 106, 14887–14907, doi:10.1029/2001JD900085, 2001.; Bailey, M. and Hallett, J.: Ice crystal linear growth rates from 20° to 70 °C: confirmation from wave cloud studies, J. Atmos. Sci., 69, 390–402, doi:10.1175/JAS-D-11-035.1, 2012.; Blackwell, W.: A neural-network technique for the retrieval of atmospheric temperature and moisture profiles from high spectral resolution sounding data, IEEE T. Geosci. Remote, 43, 2535–2546, doi:10.1109/TGRS.2005.855071, 2005.; Bugliaro, L., Zinner, T., Keil, C., Mayer, B., Hollmann, R., Reuter, M., and Thomas, W.: Validation of cloud property retrievals with simulated satellite radiances: a case study for SEVIRI, Atmos. Chem. Phys., 11, 5603–5624, doi:10.5194/acp-11-5603-2011, 2011.; Esselborn, M.: Lidar-Messung der Extinktion des atmosphärischen Aerosols am Beispiel der Feldstudie SAMUM-1, Ph., Ludwig-Maximilians-Universität München, 153 pp., 2008.; EUMETSAT: A Planned Change to the MSG Level 1.5 Image Product Radiance Definition, Tech. Rep. January, Darmstadt, Germany, 2007.; Ewald, F., Bugliaro, L., Mannstein, H., and Mayer, B.: An improved cirrus detection algorithm MeCiDA2 for SEVIRI and its evaluation with MODIS, Atmos. Meas. Tech., 6, 309–322, doi:10.5194/amt-6-309-2013, 2013.; Weickmann, H.: Formen und Bildung atmoshärischer Eiskristalle, Beitr. Phys. Atmosph., 28, 12–52, 1945.; Graf, K., Schumann, U., Mannstein, H., and Mayer, B.: Aviation induced diurnal North Atlantic cirrus cover cycle, Geophys. Res. Lett., 39, 16804, doi:10.1029/2012GL052590, 2012.; Hlavka, D. L., Yorks, J. E., Young, S. A., Vaughan, M. A., Kuehn, R. E., McGill, M. J., and Rodier, S. D.: Airborne validation of cirrus cloud properties derived from CALIPSO lidar measurements: optical properties, J. Geophys. Res., 116, D19207, doi:10.1029/2011JD017053, 2012.; Hu, Y., Winker, D., Vaughan, M., Lin, B., Omar, A., Trepte, C., Flittner, D., Yang, P., Nasiri, S. L., Baum, B., Holz, R., Sun, W., Liu, Z., Wang, Z., Young, S., Stamnes, K., Huang, J., and Kuehn, R.: CALIPSO/CALIOP cloud phase discrimination algorithm, J. Atmos. Ocean. Tech., 26, 2293–2309, doi:10.1175/2009JTECHA1280.1, 2009.; Inoue, T.: On the temperature and effective emissivity determination of semi-transparent cirrus clouds by bi-spectral measurements in the 10 \mum window region, J. Meteorol. Soc. Jpn., 63, 88–99, 1985.; Kaiser-Weiss, A.: Group for High Resolution Sea Surface Temperature, available at: https://www.ghrsst.org/products-and-services/tools/navo-ghrsst-pp-land-sea-mask/ (last access: 22 April 2014), 2011.; Krebs, W., Mannstein, H., Bugliaro, L., and Mayer, B.: Technical note: A new day- and night-time Meteosat Second Generation Cirrus Detection Algorithm MeCiDA, Atmos. Chem. Phys., 7, 6145–6159, doi:10.5194/acp-7-6145-2007, 2007.; Liou, K.-N.: R

 

Click To View

Additional Books


  • Understanding the Aerosol Information Co... (by )
  • Ground-based Integrated Path Coherent Di... (by )
  • Retrieval of Tropospheric Water Vapour b... (by )
  • Tropospheric Column Amount of Ozone Retr... (by )
  • Multi-sensor Analysis of Convective Acti... (by )
  • Optical Properties of Different Aerosol ... (by )
  • A Field-deployable, Chemical Ionization ... (by )
  • Performance of a Mobile Car Platform for... (by )
  • Characterisation and Optimisation of a M... (by )
  • Measuring Acetic and Formic Acid by Prot... (by )
  • Systematic Residual Ionospheric Errors i... (by )
  • Sensitivity of Dobson and Brewer Umkehr ... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.