<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE article SYSTEM "http://www.atmos-chem-phys.net/inc/acp/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics</journal_title>
		<journal_url>www.atmos-chem-phys.net</journal_url>
		<issn>1680-7316</issn>
		<eissn>1680-7324</eissn>
		<volume_number>8</volume_number>
		<issue_number>5</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/acp-8-1231-2008</doi>
	<article_url>http://www.atmos-chem-phys.net/8/1231/2008/</article_url>
	<abstract_html>http://www.atmos-chem-phys.net/8/1231/2008/acp-8-1231-2008.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys.net/8/1231/2008/acp-8-1231-2008.pdf</fulltext_pdf>
	<start_page>1231</start_page>
	<end_page>1248</end_page>
	<publication_date>2008-03-04</publication_date>
	<article_title content_type="html">Cloud type comparisons of AIRS, CloudSat, and CALIPSO cloud height and amount</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>B. H. Kahn</name>
			<email>brian.h.kahn@jpl.nasa.gov</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>M. T. Chahine</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>G. L. Stephens</name>
		</author>
		<author numeration="4" affiliations="3">
			<name>G. G. Mace</name>
		</author>
		<author numeration="5" affiliations="4">
			<name>R. T. Marchand</name>
		</author>
		<author numeration="6" affiliations="5">
			<name>Z. Wang</name>
		</author>
		<author numeration="7" affiliations="6">
			<name>C. D. Barnet</name>
		</author>
		<author numeration="8" affiliations="1">
			<name>A. Eldering</name>
		</author>
		<author numeration="9" affiliations="7">
			<name>R. E. Holz</name>
		</author>
		<author numeration="10" affiliations="8">
			<name>R. E. Kuehn</name>
		</author>
		<author numeration="11" affiliations="1">
			<name>D. G. Vane</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA</affiliation>
		<affiliation numeration="2" content_type="html">Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA</affiliation>
		<affiliation numeration="3" content_type="html">Department of Meteorology, University of Utah, Salt Lake City, UT, USA</affiliation>
		<affiliation numeration="4" content_type="html">Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, WA, USA</affiliation>
		<affiliation numeration="5" content_type="html">Department of Atmospheric Science, University of Wyoming, Laramie, WY, USA</affiliation>
		<affiliation numeration="6" content_type="html">NOAA &amp;ndash; NESDIS, Silver Springs, MD, USA</affiliation>
		<affiliation numeration="7" content_type="html">CIMSS &amp;ndash; University of Wisconsin &amp;ndash; Madison, Madison, WI, USA</affiliation>
		<affiliation numeration="8" content_type="html">NASA Langley Research Center, Hampton, VA, USA</affiliation>
	</affiliations>
	<abstract content_type="html">The precision of the two-layer cloud height fields derived from the
Atmospheric Infrared Sounder (AIRS) is explored and quantified for a
five-day set of observations. Coincident profiles of vertical cloud
structure by CloudSat, a 94 GHz profiling radar, and the Cloud-Aerosol Lidar
and Infrared Pathfinder Satellite Observation (CALIPSO), are compared to
AIRS for a wide range of cloud types. Bias and variability in cloud height
differences are shown to have dependence on cloud type, height, and amount,
as well as whether CloudSat or CALIPSO is used as the comparison standard.
The CloudSat-AIRS biases and variability range from &amp;minus;4.3 to 0.5&amp;plusmn;1.2&amp;ndash;3.6 km
for all cloud types. Likewise, the CALIPSO-AIRS biases range
from 0.6&amp;ndash;3.0&amp;plusmn;1.2&amp;ndash;3.6 km (&amp;minus;5.8 to &amp;minus;0.2&amp;plusmn;0.5&amp;ndash;2.7 km) for
clouds &amp;ge;7 km (&amp;lt;7 km). The upper layer of AIRS has the greatest
sensitivity to Altocumulus, Altostratus, Cirrus, Cumulonimbus, and
Nimbostratus, whereas the lower layer has the greatest sensitivity to
Cumulus and Stratocumulus. Although the bias and variability generally
decrease with increasing cloud amount, the ability of AIRS to constrain
cloud occurrence, height, and amount is demonstrated across all cloud types
for many geophysical conditions. In particular, skill is demonstrated for
thin Cirrus, as well as some Cumulus and Stratocumulus, cloud types infrared
sounders typically struggle to quantify. Furthermore, some improvements in
the AIRS Version 5 operational retrieval algorithm are demonstrated.
However, limitations in AIRS cloud retrievals are also revealed, including
the existence of spurious Cirrus near the tropopause and low cloud layers
within Cumulonimbus and Nimbostratus clouds. Likely causes of spurious
clouds are identified and the potential for further improvement is
discussed.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Aumann, H. H., Chahine, M. T., Gautier, C., Goldberg, M. D., Kalnay, E., McMillan, L. M., Revercomb, H., Rosenkranz, P. W., Smith, W. L., Staelin, D. H., Strow, L. L., and Susskind, J.: AIRS/AMSU/HSB on the Aqua mission: Design, science objectives, data products, and processing systems, IEEE Trans. Geosci. Remote Sensing, 41, 253&amp;ndash;264, 2003. </reference>
		<reference numeration="2" content_type="text"> Baum, B. A. and Wielicki, B. A.: Cirrus cloud retrieval using infrared sounding data: Multilevel cloud errors, J. Appl. Meteor., 33, 107&amp;ndash;117, 1994. </reference>
		<reference numeration="3" content_type="text"> Chahine, M. T.: Remote sounding of cloudy atmospheres. I. The single cloud layer, J. Atmos. Sci., 31, 233&amp;ndash;243, 1974. </reference>
		<reference numeration="4" content_type="text"> Chahine, M. T., Pagano, T. S., Aumann, H. H., et al.: AIRS: Improving weather forecasting and providing new data on greenhouse gases, B. Am. Meteor. Soc., 87, 911&amp;ndash;926, 2006. </reference>
		<reference numeration="5" content_type="text"> Chen, T., Rossow, W. B., and Zhang, Y.: Radiative effects of cloud-type variations, J. Climate, 13, 264&amp;ndash;286, 2000. </reference>
		<reference numeration="6" content_type="text"> Comstock, J. M., Ackerman, T. P., and Mace, G. G.: Ground-based lidar and radar remote sensing of tropical cirrus clouds at Nauru Island: Cloud statistics and radiative impacts, J. Geophys. Res., 107, 4714, doi:10.1029/2002JD002203, 2002. </reference>
		<reference numeration="7" content_type="text"> Fetzer, E. J., Lambrigtsen, B. H., Eldering, A., Aumann, H. H., and Chahine, M. T.: Biases in total precipitable water vapor climatologies from Atmospheric Infrared Sounder and Advanced Microwave Scanning Radiometer, J. Geophys. Res., 111, D09S16, doi:10.1029/2005JD006598, 2006. </reference>
		<reference numeration="8" content_type="text"> Gedzelman, S. D.: Cloud classification before Luke Howard, B. Am. Meteor. Soc., 70, 381&amp;ndash;395, 1989. </reference>
		<reference numeration="9" content_type="text"> Hartmann, D. L., Ockert-Bell, M. E., and Michelsen, M. L.: The effect of cloud type on Earth&apos;s energy balance: Global analysis, J. Climate, 5, 1281&amp;ndash;1304, 1992. </reference>
		<reference numeration="10" content_type="text"> Hartmann, D. L., Moy, L. A., and Fu, Q.: Tropical convection and the energy balance at the top of the atmosphere, J. Climate, 14, 4495&amp;ndash;4511, 2001. </reference>
		<reference numeration="11" content_type="text"> Hearty, T., Kahn, B. H., and Fishbein, E.: Layer trends in Earth&apos;s cloud cover, Fall Meeting, American Geophysical Union, San Francisco, CA, 2006. </reference>
		<reference numeration="12" content_type="text"> Holz, R. E., Ackerman, S., Antonelli, P., Nagle, F., Knuteson, R. O., McGill, M., Hlavka, D. L., and Hart, W. D.: An improvement to the high spectral resolution CO&lt;sub&gt;2&lt;/sub&gt; slicing cloud top altitude retrieval, J. Atmos. Oceanic Technol., 23, 653&amp;ndash;670, 2006. </reference>
		<reference numeration="13" content_type="text"> Houghton, J. T., Ding, Y., Griggs, D. J., et al.: Intergovernmental Panel on Climate Change: Climate Change 2001: The Scientific Basis, 881 pp., Cambridge Univ. Press, New York, 2001. </reference>
		<reference numeration="14" content_type="text"> Huang, H.-L., Yang, P., Wei, H., Baum, B. A., Hu, Y., Antonelli, P., and Ackerman, S. A.: Inference of ice cloud properties from high spectral resolution infrared observations, IEEE Trans Geosci. Remote Sens., 42, 842&amp;ndash;853, 2004. </reference>
		<reference numeration="15" content_type="text"> Inoue, T. and Ackerman, S. A.: Radiative effects of various cloud types as classified by the split window technique over the Eastern Sub-tropical Pacific derived from collocated ERBE and AVHRR data, J. Met. Soc. Japan, 80, 1383&amp;ndash;1394, 2002. </reference>
		<reference numeration="16" content_type="text"> Jin, Y., Rossow, W. B., and Wylie, D. P.: Comparison of the climatologies of high-level clouds from HIRS and ISCCP, J. Climate, 9, 2850&amp;ndash;2879, 1996. </reference>
		<reference numeration="17" content_type="text"> Kahn, B. H., Liou, K. N., Lee, S.-Y., Fishbein, E. F., DeSouza-Machado, S., Eldering, A., Fetzer, E. J., Hannon, S. E., and Strow, L. L.: Nighttime cirrus detection using Atmospheric Infrared Sounder window channels and total column water vapor, J. Geophys. Res., 110, D07203, doi:10.1029/2004JD005430, 2005. </reference>
		<reference numeration="18" content_type="text"> Kahn, B. H., Eldering, A., Braverman, A. J., Fetzer, E. J., Jiang, J. H., Fishbein, E., and Wu, D. L.: Toward the characterization of upper tropospheric clouds using Atmospheric Infrared Sounder and Microwave Limb Sounder observations, J. Geophys. Res., 112, D05202, doi:10.1029/2006JD007336, 2007a. </reference>
		<reference numeration="19" content_type="text"> Kahn, B. H., Fishbein, E., Nasiri, S. L., Eldering, A., Fetzer, E. J., Garay, M. J., and Lee, S.-Y.: The radiative consistency of Atmospheric Infrared Sounder and Moderate Resolution Imaging Spectroradiometer cloud retrievals, J. Geophys. Res., 112, D09201, doi:10.1029/2006JD007486, 2007b. </reference>
		<reference numeration="20" content_type="text"> Klein, S. A. and Hartmann, D. L.: The seasonal cycle of low stratiform clouds, J. Climate, 6, 1587&amp;ndash;1606, 1993. </reference>
		<reference numeration="21" content_type="text"> Kulawik, S. S., Worden, J., Eldering, A., Bowman, K., Gunson, M., Osterman, G. B., Zhang, L., Clough, S., Shephard, M. W., and Beer, R.: Implementation of cloud retrievals for Tropospheric Emission Spectrometer (TES) atmospheric retrievals: part 1. Description and characterization of errors on trace gas retrievals, J. Geophys. Res., 111, D24204, doi:10.1029/2005JD006733, 2006. </reference>
		<reference numeration="22" content_type="text"> L&apos;Ecuyer, T. S., Masunaga, H., and Kummerow, C. D.: Variability in the characteristics of precipitation systems in the Tropical Pacific. Part II: Implications for atmospheric heating, J. Climate, 19, 1388&amp;ndash;1406, 2006. </reference>
		<reference numeration="23" content_type="text"> Mace, G. G. and Jakob, C.: Validation of hydrometeor occurrence predicted by the ECMWF model using millimeter wave radar data, Geophys. Res. Lett., 25, 1645&amp;ndash;1648, 1998. </reference>
		<reference numeration="24" content_type="text"> Mace, G. G., Marchand, R., Zhang, Q., and Stephens, G.: Global hydrometeor occurrence as observed by CloudSat: Initial observations from Summer 2006, Geophys. Res. Lett., 34, L09808, doi:10.1029/2006GL029017, 2007. </reference>
		<reference numeration="25" content_type="text"> Marchand, R., Mace, G. G., Ackerman, T., and Stephens, G.: Hydrometeor detection using CloudSat &amp;ndash; An Earth observing 94 GHz cloud radar, J. Atmos. Ocean. Tech., in press, 2008. </reference>
		<reference numeration="26" content_type="text"> McGill, M. J., Li, L., Hart, W. D., Heymsfield, G. M., Hlavka, D. L., Racette, P. E., Tian, L., Vaughan, M. A., and Winker, D. M.: Combined lidar-radar remote sensing: Initial results from CRYSTAL-FACE, J. Geophys. Res., 109, D07203, doi:10.1029/2003JD004030, 2004. </reference>
		<reference numeration="27" content_type="text"> Miller, S. D., Stephens, G. L., and Beljaars, A. C. M.: A validation survey of the ECMWF prognostic cloud scheme using LITE, Geophys. Res. Lett., 26, 1417&amp;ndash;1420, 1999. </reference>
		<reference numeration="28" content_type="text"> Miller, S. D., Stephens, G. L., Drummond, C. K., Heidinger, A. K., and Partain, P. T.: A multisensor diagnostic satellite cloud property retrieval scheme, J. Geophys. Res., 105, 19 995&amp;ndash;19 971, 2000. </reference>
		<reference numeration="29" content_type="text"> Nasiri, S. L., Kahn, B. H., and Baum, B. A.: Improvement of cloud thermodynamic phase assessment using infrared hyperspectral measurements, Optical Society of America, HISE, Topical Meeting, Santa Fe, New Mexico, 20&amp;ndash;24 February 2007. </reference>
		<reference numeration="30" content_type="text"> Parkinson, C. L.: Aqua: An earth-observing satellite mission to examine water and other climate variables, IEEE Transactions on Geoscience and Remote Sensing, 41, 173&amp;ndash;183, 2003. </reference>
		<reference numeration="31" content_type="text"> Ramanathan, V., Cess, R. D., Harrison, E. F., Minnis, P., Barkstrom, B. R., Ahmad, E., and Hartmann, D.: Cloud-radiative forcing and climate: Results from the Earth Radiation Budget Experiment, Science, 243, 57&amp;ndash;63, 1989. </reference>
		<reference numeration="32" content_type="text"> Remer, L. A., Kaufman, Y. J., Tanré, D., Mattoo, S., Chu, D. A., Martins, J. V., Li, R. R., Ichoku, C., Levy, R. C., Kleidman, R. G., Eck, T. F., Vermote, E., and Holben, B. N.: The MODIS aerosol algorithm, products, and validation, J. Atmos. Sci., 62, 947&amp;ndash;973, 2005. </reference>
		<reference numeration="33" content_type="text"> Rossow, W. B., Mosher, F., Kinsella, E., Arking, A., Desbois, M., Harrison, E., Minnis, P., Ruprecht, E., Seze, G., Simmer, C., and Smith, E.: ISCCP cloud algorithm intercomparisons, J. Appl. Meteor. Clim., 24, 877&amp;ndash;903, 1985. </reference>
		<reference numeration="34" content_type="text"> Rossow, W. B., Walker, A. W., and Garder, L. C.: Comparison of ISCCP and other cloud amounts, J. Climate, 6, 2394&amp;ndash;2418, 1993. </reference>
		<reference numeration="35" content_type="text"> Rossow, W. B. and Schiffer, R. A.: Advances in understanding clouds from ISCCP, B. Am. Meteor. Soc., 80, 2261&amp;ndash;2287, 1999. </reference>
		<reference numeration="36" content_type="text"> Schoeberl, M. R., Douglass, A. R., Hilsenrath, E., Bhartia, P. K., Beer, R., Waters, J. W., Gunson, M. R., Froidevaux, L., Gille, J. C., Barnett, J. J., Levelt, P. F., and DeCola, P.: Overview of the EOS Aura mission, IEEE Trans. Geosci. Remote Sensing, 44, 1066&amp;ndash;1074, 2006. </reference>
		<reference numeration="37" content_type="text"> Sherwood, S. C., Chae, J.-H., Minnis, P., and McGill, M.: Underestimation of deep convective cloud tops by thermal imagery, Geophys. Res. Lett., 31, L11102, doi:10.1029/2004GL019699, 2004. </reference>
		<reference numeration="38" content_type="text"> Stephens, G. L., Vane, D. G., Boain, R. J., Mace, G. G., Sassen, K., Wang, Z., Illingworth, A. J., O&apos;Connor, E. J., Rossow, W. B., Durden, S. L., Miller, S. D., Austin, R. T., Benedetti, A., Mitrescu, C., and the CloudSat Science Team: The CloudSat mission and the A-train, B. Am. Meteor. Soc., 83, 1771&amp;ndash;1790, 2002. </reference>
		<reference numeration="39" content_type="text"> Stephens,~G. L.: Cloud feedbacks in the climate system: A critical review, J. Climate, 18, 237&amp;ndash;273, 2005. </reference>
		<reference numeration="40" content_type="text"> Susskind, J., Barnet, C. D., and Blaisdell, J. M.: Retrieval of atmospheric and surface parameters from AIRS/AMSU/HSB data in the presence of clouds, IEEE Trans. Geosci. Remote Sens., 41, 390&amp;ndash;409, 2003. </reference>
		<reference numeration="41" content_type="text"> Susskind, J., Barnet, C., Blaisdell, J., Iredell, L., Keita, F., Kouvaris, L., Molnar, G., and Chahine, M.: Accuracy of geophysical parameters derived from Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit as a function of fractional cloud cover, J. Geophys. Res., 111, D09S17, doi:10.1029/2005JD006272, 2006. </reference>
		<reference numeration="42" content_type="text"> Thomas, S. M., Heidinger, A. K., and Pavolonis, M. J.: Comparison of NOAA&apos;s operational AVHRR-derived cloud amount to other satellite-derived cloud climatologies, J. Climate, 17, 4805&amp;ndash;4822, 2004. </reference>
		<reference numeration="43" content_type="text"> Tobin, D. C., Revercomb, H. E., Knuteson, R. O., Lesht, B. L., Strow, L. L., Hannon, S. E., Feltz, W. F., Moy, L. A., Fetzer, E. J., and Cress, T. S.: Atmospheric Radiation Measurement site atmospheric state best estimates for Atmospheric Infrared Sounder temperature and water retrieval validation, J. Geophys. Res., 111, D09S14, doi:10.1029/2005JD006103, 2006. </reference>
		<reference numeration="44" content_type="text"> Vaughan, M. A., Winker, D. M., Powell, K. A.: CALIOP algorithm theoretical basis document. Part 2: Feature detection and layer properties algorithm, PC-SCI-202, Release 1.01, 87 pp., http://eosweb.larc.nasa.gov/PRODOCS/calipso/table_calipso.html, 2005. </reference>
		<reference numeration="45" content_type="text"> Wang, Z. and Sassen, K.: Cloud type and macrophysical property retrieval using multiple remote sensors, J. Appl. Meteor., 40, 1665&amp;ndash;1682, 2001. </reference>
		<reference numeration="46" content_type="text"> Wang, Z. and Sassen, K.: Level 2 cloud scenario classification product process description and interface control document, Version 5.0, 50 pp., http://www.cloudsat.cira.colostate.edu/, 2007. </reference>
		<reference numeration="47" content_type="text"> Webb, M., Senior, C., Bony, S., and Morcrette, J.-J.: Combining ERBE and ISCCP data to assess clouds in the Hadley Centre, ECMWF, and LMD atmospheric climate models, Clim. Dynam., 17, 905&amp;ndash;922, 2001. </reference>
		<reference numeration="48" content_type="text"> Weisz, E., Li, J., Menzel, W. P., Heidinger, A. K., Kahn, B. H., and Liu, C.-Y.: Comparison of AIRS, MODIS, CloudSat, and CALIPSO cloud top height retrievals, Geophys. Res. Lett., 34, L17811, doi:10.1029/2007GL030676, 2007. </reference>
		<reference numeration="49" content_type="text"> Wielicki, B. A. and Parker, L.: On the determination of cloud cover from satellite sensors: The effect of sensor spatial resolution, J. Geophys. Res., 97, 12 799&amp;ndash;12 823, 1992. </reference>
		<reference numeration="50" content_type="text"> Wielicki, B. A., Cess, R. D., King, M. D., Randall, D. A., and Harrison, E. F.: Mission to planet Earth: Role of clouds and radiation in climate, B. Am. Meteor. Soc., 76, 2125&amp;ndash;2153, 1995. </reference>
		<reference numeration="51" content_type="text"> Winker, D. M. and Trepte, C. R.: Laminar cirrus observed near the tropical tropopause by LITE, Geophys. Res. Lett., 25, 3351&amp;ndash;3354, 1998. </reference>
		<reference numeration="52" content_type="text"> Winker, D. M., Pelon, J., and McCormick, M. P.: The CALIPSO mission: Spaceborne lidar for observation of aerosols and clouds, Proc. SPIE, 4893, 1&amp;ndash;11, 2003. </reference>
		<reference numeration="53" content_type="text"> Wylie, D. P. and Menzel, W. P.: Eight years of high cloud statistics using HIRS, J. Climate, 12, 170&amp;ndash;184, 1999. </reference>
		<reference numeration="54" content_type="text"> Xu, K.-M., Wong, T., Wielicki, B. A., Parker, L., and Eitzen, Z. A.: Statistical analyses of satellite cloud object data from CERES. Part I: Methodology and preliminary results of 1998 El Niño/2000 La Niña, J. Climate, 18, 2497&amp;ndash;2514, 2005. </reference>
		<reference numeration="55" content_type="text"> You, Y., Kattawar, G. W., Yang, P., Hu, Y. X., and Baum, B. A.: Sensitivity of depolarized lidar signals to cloud and aerosol particle properties, J. Quant. Spectrosc. Radiat. Transfer, 100(1&amp;ndash;3), 470&amp;ndash;482, 2006. </reference>
	</references>
</article>

