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The Heidelberg Iterative Cloud Retrieval Utilities (Hicru) and Its Application to Gome Data : Volume 6, Issue 12 (05/10/2006)

By Grzegorski, M.

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Book Id: WPLBN0003994586
Format Type: PDF Article :
File Size: Pages 16
Reproduction Date: 2015

Title: The Heidelberg Iterative Cloud Retrieval Utilities (Hicru) and Its Application to Gome Data : Volume 6, Issue 12 (05/10/2006)  
Author: Grzegorski, M.
Volume: Vol. 6, Issue 12
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2006
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Platt, U., Wagner, T., Wenig, M., Grzegorski, M., Fournier, N., & Stammes, P. (2006). The Heidelberg Iterative Cloud Retrieval Utilities (Hicru) and Its Application to Gome Data : Volume 6, Issue 12 (05/10/2006). Retrieved from http://www.ebooklibrary.org/


Description
Description: Institute of Environmental Physics, University of Heidelberg, Germany. Information about clouds, in particular the accurate identification of cloud free pixels, is crucial for the retrieval of tropospheric vertical column densities from space. The Heidelberg Iterative Cloud Retrieval Utilities (HICRU) retrieve effective cloud fraction using spectra of two instruments designed for trace gas retrievals from space: The Global Ozone Monitoring Experiment (GOME) on the European Remote Sensing Satellite (ERS-2) and the SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) on ENVISAT.

HICRU applies the widely used threshold method to the so-called Polarization Monitoring Devices (PMDs) with higher spatial resolution compared to the channels used for trace gas retrievals. Cloud retrieval and in particular the identification of cloud free pixels is improved by HICRU through a sophisticated, iterative retrieval of the thresholds which takes their dependency on different instrumental and geometrical parameters into account. The lower thresholds, which represent the surface albedo and strongly affect the results of the algorithm, are retrieved accurately through a four stage classification scheme using image sequence analysis.

The design and the results of the algorithm applied to GOME data are described and compared to several other cloud algorithms for GOME. The differences to other cloud algorithms are discussed with respect to the particular characteristics of the algorithms.

Summary
The Heidelberg iterative cloud retrieval utilities (HICRU) and its application to GOME data

Excerpt
Aben, I., Eisinger, M., Hegels, E., Snel, R., and Tanzi, C.: GOME data quality improvement GDAQI final report, SRON and DLR and Alfred Wegener Institute and Institut fuer Fernerkundung, 2000.; Acarreta, J. R., de Haan, J. F., and Stammes, P.: Cloud pressure retrieval using the \chemO_2-O_2 absorption band at 477 nm, J. Geophys. Res., 109(D5),D05204, doi:10.1029/2003JD003915, 2004.; Beirle, S., Platt, U., von Glasow, R., Wenig, M., and Wagner, T.: Estimate of nitrogen oxide emissions from shipping by satellite remote sensing, Geophys. Res. Lett., 31, L18103, doi:10.1029/2004GL020312, 2004a.; Beirle, S., Platt, U., Wenig, M., and Wagner, T.: Highly resolved global distribution of tropospheric \chemNO_2 using GOME narrow swath mode data, Atmos. Chem. Phys., 4, 1913–1924, 2004b.; de Beek, R., Vountas, V., Rozanov, V., Richter, A., and Burrows, J. P.: The Ring effect in the cloudy atmosphere, Geophys. Res. Lett., 28, 721–772, 2001.; Beirle, S., Platt, U., Wenig, M., and Wagner, T.: Weekly cycle of \chemNO_2 by GOME measurements: A signature of anthropogenic sources, Atmos. Chem. Phys., 3, 2225–2232, 2004c.; Burrows, J., Weber, M., Buchwitz, M., Rozanov, V., Ladstetter-Weienmayer, A., Richter, A., DeBeek, R., Hoogen, R., Bramstedt, K., Eichmann, K. U., Eisinger, M., and Perner, D.: The Global Ozone Monitoring Experiment (GOME): Mission concept and first scientific results, J. Atmos. Sci., 56, 151–175, 1999.; Fournier, N., Stammes, P., de Graaf, M., van der A, R., Piters, A., Grzegorski, M., and Kokhanovsky, A.: Improving cloud information over deserts from SCIAMACHY Oxygen A-band measurements, Atmos. Chem. Phys., 6, 163–172, 2006.; Grzegorski, M., Frankenberg, C., Platt, U., Wenig, M., Fournier, N., Stammes, P., and Wagner, T.: Determination of cloud parameters from SCIAMACHY data for the correction of tropospheric trace gases, in: ESA-publication SP-572 (CD-ROM), Proceedings of the ENVISAT & ERS Symposium, 6-10 September 2004, Salzburg, Austria, 2004.; Joiner, J., Vasilkov, A. P., Flittner, D. E., and Gleason, J. F.: Retrieval of cloud pressure and oceanic chlorophyll content using Raman scattering in GOME ultraviolet spectra, J. Geophys. Res., 109(D1), D01109, doi:10.1029/2003JD003698, 2004.; Koelemeijer, R. B. A. and Stammes, P.: Validation of global ozane monitoring experiment cloud fractions relevant for accurate ozone column retrieval, J. Geophys. Res., 104D, 18 801–18 814, 1999.; Koelemeijer, R. B. A. and Stammes, P.: Comparison of cloud retrievals from GOME and ATSR-2, ESA Earth Observation Quarterly, 65, 25–27, 2000.; Koelemeijer, R. B. A., Stammes, P., Hovenier, J. W., and de Haan, J. F.: A fast method for retrieval of cloud parameters using oxygen A band measurements from the global ozone monitoring experiment, J. Geophys. Res., 106D, 3475–3490, 2001.; Wenig, M.: Satellite measurements of long-term global tropospheric trace gas distributions and source strength, Ph.D. thesis, University of Heidelberg, Germany, 2001.; Koelemeijer, R. B. A., Stammes, P., Hovenier, J. W., and de Haan, J. F.: Global distributions of effective cloud fraction and cloud top pressure derived from oxygen A band spectra measured by the Global Ozone Monitoring Experiment: comparison to ISCCP data, J. Geophys. Res., 107(D12), 4151, doi:10.1029/2001JD000840, 2002.; Koelemeijer, R. B. A., de Haan, J.F, and Stammes, P.: A database of spectral surface reflectivity in the range 335-772 nm derived from 5.5 years of GOME observations, J. Geophys. Res., 108(D2), 4070, doi:10.1029/2002JH002429, 2003.; Kokhanovsky, A. A., Rozanov, V. V., Zege, E. P., Bovensmann, H., and Burrows, J. P.: A semianalytical cloud ret

 

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