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<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics Discussions</journal_title>
		<journal_url>www.atmos-chem-phys-discuss.net</journal_url>
		<issn>1680-7367</issn>
		<eissn>1680-7375</eissn>
		<volume_number>7</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2007</publication_year>
	</journal>
	<doi>10.5194/acpd-7-10933-2007</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/7/10933/2007/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/7/10933/2007/acpd-7-10933-2007.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/7/10933/2007/acpd-7-10933-2007.pdf</fulltext_pdf>
	<start_page>10933</start_page>
	<end_page>10969</end_page>
	<publication_date>2007-07-26</publication_date>
	<article_title content_type="html">Technical note: a new day- and night-time Meteosat Second Generation Cirrus Detection Algorithm MeCiDA</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>W. Krebs</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>H. Mannstein</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>L. Bugliaro</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>B. Mayer</name>
			<email>bernhard.mayer@dlr.de</email>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, 82234 Wessling, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">A new cirrus detection algorithm for the Spinning Enhanced Visible
and Infra-Red Imager (SEVIRI) aboard the geostationary Meteosat Second Generation (MSG), MeCiDA, is presented.
The algorithm uses the seven infrared channels of SEVIRI and thus provides a consistent scheme for cirrus
detection at day and night. MeCiDA combines morphological
and multi-spectral threshold tests and detects optically thick and thin
ice clouds. The thresholds were determined by a comprehensive theoretical
study using radiative transfer simulations for various atmospheric
situations as well as by manually evaluating actual satellite
observations. The retrieved cirrus masks have been validated by comparison with the
Moderate Resolution Imaging Spectroradiometer (MODIS) Cirrus Reflection
Flag. To study possible seasonal variations in the performance of the
algorithm, one scene per month of the year 2004 was randomly selected and
compared with the standard MODIS cirrus product. 81% of the pixels were
classified identically by both algorithms. On average, MeCiDA detected 60%
of the MODIS cirrus. A lower detection efficiency is to be expected for
MeCiDA, as the spatial resolution of MODIS is considerably better and
as we used only the thermal infrared channels in contrast to the
MODIS algorithm which uses infrared and visible radiances. The advantage
of MeCiDA compared to retrievals for polar orbiting instruments or
previous geostationary satellites is that it allows to derive quantitative
data every 15 min, 24 h a day. This high temporal resolution allows
the study of diurnal variations and life cycle aspects. MeCiDA is fast enough for
near real-time applications.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Ackerman, S., Strabala, K., Frey, R., Moeller, C., and Menzel, W.: Cloud Mask for the MODIS Airborne Simulator (MAS): Preparation for MODIS, in: Eighths AMS conference on Satellite Meteorology and Oceanography, January 28&amp;ndash;February 2, 1996, Atlanta, Georgia, pp.317&amp;ndash;320, American Meteor. Soc., 1996. </reference>
		<reference numeration="2" content_type="text"> Ackerman, S., Strabala, K., Menzel, W., Frey, R., Moeller, C., and Gumley, L.: Discriminating clear sky from clouds with MODIS, J. Geophys. Res., 103, 32 141&amp;ndash;32 157, 1998. </reference>
		<reference numeration="3" content_type="text"> Anderson, G. and Hall, L.: Solar Irradiance between 2000 and 3100 Angstroms With Spectral Band Pass of 1.0 Angstroms, J. Geophys. Res., 94, 6435&amp;ndash;6441, 1989. </reference>
		<reference numeration="4" content_type="text"> Chevallier, F., Cheruy, F., Scott, N., and Chedin, A.: A neural network approach for a fast and accurate computation of a longwave radiative budget, J. Appl. Meteorol., 37, 1385&amp;ndash;1397, 1998. </reference>
		<reference numeration="5" content_type="text"> Feijt, A., de~Valk, P., and van~der Veen, S.: Cloud detection using Meteosat imagery and numerical weather prediction model data, J. Appl. Meteorol., 39, 1017&amp;ndash;1030, 2000. </reference>
		<reference numeration="6" content_type="text"> Fu, Q., Lesins, G., Higgins, J., Charlock, T., Chylek, P., and Michalsky, J.: Broadband water vapour absorption of solar radiation tested using ARM data, Geophys. Res. Lett., 25, 1169&amp;ndash;1172, 1998. </reference>
		<reference numeration="7" content_type="text"> Hansen, J., Sato, M., and Ruedy, R.: Radiative forcing and climate response, J. Geophys. Res., 102, 6831&amp;ndash;6864, 1997. </reference>
		<reference numeration="8" content_type="text"> Hart, W., Spinhirne, J., Palm, S., and Hlavka, D.: Height distribution between cloud and aerosol layers from the GLAS spaceborne lidar in the Indian Ocean region, Geophys. Res. Lett., 32, doi:10.1029/2005GL023671, L22S06, 2005. </reference>
		<reference numeration="9" content_type="text"> Inoue, T.: On the temperature and effective emissivity determination of semitransparent cirrus clouds by bispectral measurements in the 10 μm window region, J. Meteor. Soc. Japan, 63, 88&amp;ndash;98, 1985. </reference>
		<reference numeration="10" content_type="text"> IPCC: Climate Change 2007: The Scientific Basis, Tech. rep., Intergovernmental Panel on Climate Change (IPCC), IPCC Secretariat, c/o World Meteorological Organization, Geneva, Switzerland, 2007. </reference>
		<reference numeration="11" content_type="text"> Kidder, S. and Vonder~Haar, T.: Satellite Meteorology, Academic Press, 219ff., 1995. </reference>
		<reference numeration="12" content_type="text"> King, M., Menel, W., Kaufman, Y., Tanre, D., Gao, B.-C., Platnick, S., Ackerman, S., Remer, L., Pincus, R., and Hubanks, P.: Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS, IEEE Transactions on Geoscience and Remote Sensing, 41, 442&amp;ndash;458, 2003. </reference>
		<reference numeration="13" content_type="text"> Kriebel, K.-T., Gesell, G., Kästner, M., and Mannstein, H.: The cloud analysis tool APOLLO: improvements and validation, Int. J. Remote Sensing, 24, 2389&amp;ndash;2408, 2003. </reference>
		<reference numeration="14" content_type="text"> Lynch, D., Sassen, K., Starr, D., and Stephens, G., (Eds.): Cirrus: &quot;History and Definition&quot;, Oxford University Press, 6&amp;ndash;7, 2002. </reference>
		<reference numeration="15" content_type="text"> Mahesh, A., Gray, M., Palm, S., Hart, W., and Spinhirne, J.: Passive and active detection of clouds: Comparisons between MODIS and GLAS observations, Geophys. Res. Lett., 31, doi:10.1029/2003GL018859, L04108, 2004. </reference>
		<reference numeration="16" content_type="text"> Mayer, B. and Kylling, A.: Technical Note: The libRadtran software package for radiative transfer calculations: Description and examples of use, Atmos. Chem. Phys., 5, 1855&amp;ndash;1877, 2005. </reference>
		<reference numeration="17" content_type="text"> Mayer, B., Seckmeyer, G., and Kylling, A.: Systematic long-term comparison of spectral UV measurements and UVSPEC modeling results, J. Geophys. Res., 102, 8755&amp;ndash;8767, 1997. </reference>
		<reference numeration="18" content_type="text"> Meerkötter, R., Schumann, U., Doelling, D., Minnis, P., Nakajima, T., and Tsushima, Y.: Radiative forcing by contrails, Ann. Geophys., 17, 1080&amp;ndash;1094, 1999. </reference>
		<reference numeration="19" content_type="text"> Minnis, P. and Smith~Jr., W.: Cloud and radiative fields derived from GOES-8 during SUCCESS and the ARM-UAV spring 1996 flight seriess, Geophys. Res. Lett., 25, 1113&amp;ndash;1116, 1998. </reference>
		<reference numeration="20" content_type="text"> Pierluissi, J. and Peng, G.-S.: New molecular transmission band models for LOWTRAN, Opt. Eng., 24, 541&amp;ndash;547, 1985. </reference>
		<reference numeration="21" content_type="text"> Platnick, S., King, M., Ackerman, S., Menzel, W., Baum, B., Riedi, J., and Frey, R.: The MODIS cloud products: Algorithms and examples from TERRA, IEEE Transactions on Geoscience and Remote Sensing, 41, 459&amp;ndash;473, 2003. </reference>
		<reference numeration="22" content_type="text"> Ricchiazzi, P. and Gautier, C.: Investigation of the effect of surface heterogeneity and topography on the radiation environment of Palmer Station, Antarctica, with a hybrid 3-D radiative transfer model, J. Geophys. Res., 103, 6161&amp;ndash;6178, 1998. </reference>
		<reference numeration="23" content_type="text"> Rossow, W. and Schiffer, R.: Advances in understanding clouds from ISCCPP, B. Am. Meteorol. Soc., 80, 2261&amp;ndash;2287, 1999. </reference>
		<reference numeration="24" content_type="text"> Schmetz, J., Pili, P., Tjemkes, S., Just, D., Kerkmann, J., Rota, S., and Ratier, A.: An introduction to Meteosat Second Generation (MSG), B. Am. Meteorol. Soc., pp.977&amp;ndash;992, 2002. </reference>
		<reference numeration="25" content_type="text"> Stamnes, K., Tsay, S., Wiscombe, W., and Jayaweera, K.: A numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media, Appl. Optics, 27, 2502&amp;ndash;2509, 1988. </reference>
		<reference numeration="26" content_type="text"> Van~Weele, M., Martin, T., Blumthaler, M., Brogniez, C., den Outer, P., Engelsen, O., Lenoble, J., Pfister, G., Ruggaber, A., Walravens, B., Weihs, P., Dieter, H., Gardiner, B., Gillotay, D., Kylling, A., Mayer, B., Seckmeyer, G., and Wauben, W.: From model intercomparisons towards benchmark UV spectra for six real atmospheric cases, J. Geophys. Res., 105, 4915&amp;ndash;4925, 2000. </reference>
		<reference numeration="27" content_type="text"> World Meteorological Organization, (Ed.): International Cloud Atlas, Volume I &amp;ndash; Manual on the observation of clouds and other meteors, WMO, 1975. </reference>
		<reference numeration="28" content_type="text"> World Meteorological Organization, (Ed.): International Cloud Atlas, Volume II &amp;ndash; Plates, WMO, 1987. </reference>
		<reference numeration="29" content_type="text"> Wylie, D. and Woolf, H.: The Diurnal Cycle of Upper-Tropospheric Clouds Measured by GOES-VAS and the ISCCP, Mon. Weather Rev., 130, 171&amp;ndash;179, 2002. </reference>
		<reference numeration="30" content_type="text"> Wylie, D., Jackson, D., Menzel, W., and Bates, J.: Trends in global cloud cover in two decades of HIRS observations, J. Climate, 18, 3021&amp;ndash;3031, 2005. </reference>
	</references>
</article>

