References

ACPD

Atmospheric Chemistry and Physics Discussions

ACPD

1680-7375

Copernicus GmbH

Göttingen, Germany

10.5194/acpd-11-4599-2011

Deriving the effect of wind speed on clean maritime aerosol optical properties using the A-Train satellites

Kiliyanpilakkil

V. P.

¹ Meskhidze

Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA

08 02 2011

11 2 4599 4630

This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Relationship between "clean marine" aerosol optical properties and ocean surface wind speed is explored using remotely sensed data from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on board the CALIPSO satellite and the Advanced Microwave Scanning Radiometer (AMSR-E) on board the AQUA satellite. Detailed data analyses are carried out over 15 regions selected to be representative of different areas of the global ocean for the time period from June 2006 to June 2010. Based on remotely sensed optical properties the CALIPSO algorithm is capable of discriminating "clean marine" aerosols from other types often present over the ocean (such as urban/industrial pollution, desert dust and biomass burning). The global mean optical depth of "clean marine" aerosol at 532 nm (AOD532) is found to be 0.052 ± 0.038. The mean layer integrated volume depolarization ratio of marine aerosols is 0.016 ± 0.012, the value representative of sea salt crystals. Integrated attenuated backscatter and color ratio of marine aerosols at 532 nm were obtained to be 0.003 ± 0.002 sr−1 and 0.530 ± 0.149, respectively. A logistic regression between AOD532 and 10-meter surface wind speed (U10) revealed three distinct regions. For surface winds lower than 4 m s−1, the mean CALIPSO-derived AOD532 is found to be 0.02 ± 0.003 with little dependency on the surface wind speed. For surface winds from 4 m s−1 to 12 m s−1, representing the dominant fraction of all available data, marine aerosol optical depth is linearly correlated with the U10, with a slope of 0.0062 s m−1. In this intermediate wind speed region, the AOD532 vs. U10 regression derived here is comparable to previously reported relationships. At very high wind speed values (U10 > 18 m s−1), the AOD532-wind speed relationship showed a tendency toward leveling off, suggesting the existence of some maximum value for maritime AOD. Results of our calculations suggest that considerable improvements to both optical properties of marine aerosols and their production mechanisms can be achieved by discriminating "clean marine" aerosols (or sea salt particles) from all other types of aerosols present over the ocean.

References 1

Andreae, M. O.: Aerosols before pollution, Science, 315, 5808, 50–51, http://dx.doi.org/10.1126/science.1136529doi:10.1126/science.1136529, 2007.

Andreae, M. O. and Rosenfeld, D.: Aerosol-cloud-precipitation interactions. Part 1, The nature and sources of cloud-active aerosols, Earth-Sci. Rev., 89, 13–41, http://dx.doi.org/10.1016/j.earscirev.2008.03.001doi:10.1016/j.earscirev.2008.03.001, 2008.

Andreas, E. L.: A review of the sea spray generation function for the open ocean,Atmosphere-Ocean Interactions, W. A. Perrie, Ed., WIT Press, Southampton, UK, Vol. 11–46, 2002.

Ayash, T., Gong, S., and Jia, C. Q.: Direct and indirect shortwave radiative effects of sea salt aerosols, J. Clim., 21, 3207–3220, http://dx.doi.org/10.1175/2007JCLI2063.1doi:10.1175/2007JCLI2063.1, 2008.

Barteneva, O. D., Nikitinskaya, N. I., Sakunov, G. G., and Veselova, L. K.: Atmospheric transmittance in the visible and near IR spectral range, 224~pp., Gidrometeoizdat, Leningrad, 1991 (in Russian).

Blanchard, D. C. and Woodcock, A. H.: Bubble formation and modification in the sea and its meteorological significance, Tellus, 9, 145–158, 1957.

Cattrall, C., Reagan, J., Thome, K., and Dubovik, O.: Variability of aerosol and spectral lidar and backscatter and extinction ratios of key aerosol types derived from selected Aerosol Robotic Network locations, J. Geophys. Res., 110, D10S11, http://dx.doi.org/10.1029/2004JD005124doi:10.1029/2004JD005124, 2005.

Charlson, R. J., Lovelock, J. E., Andreae, M. O., and Warren, S. G.: Oceanic phytoplankton, atmospheric sulphur, cloud albedo and climate, Nature, 326, 6114, 655–661, http://dx.doi.org/10.1038/326655a0doi:10.1038/326655a0, 1987.

Clarke, A. D. and Kapustin, V. N.: The Shoreline Environment Aerosol Study (SEAS): A context for marine aerosol measurements influenced by a coastal environment and long-range transport, J. Atmos. Oceanic Technol., 20, 1351–1361, 2003.

Dobbie, S., Li, J., Harvey, R., and Chylek, P.: Sea salt optical properties and GCM forcing at solar wavelengths, Atmos. Res., 65, 211–233, 2003.

Exton, H. J., Latham, J., Park, P. M., Perry, S. J., Smith, M. H., and Allan R. R.: The production and dispersal of marine aerosol, Q. J. R. Meteorol. Soc., 111, 817–837, 1985.

Ghan, S., Laulainen, N., Easter, R., Wagener, R., Nemesure, S., Chapman, E., Zhang, Y., and Leung, R.: Evaluation of aerosol direct radiative forcing in MIRAGE, J. Geophys. Res., 106, 5295–5316, http://dx.doi.org/10.1029/2000JD900502doi:10.1029/2000JD900502, 2001.

Glantz, P., Nilsson, E., and von Hoyningen-Huene, W.: Estimating a relationship between aerosol optical thickness and surface wind speed over the ocean, Atmos. Res., 92, 58–68, http://dx.doi.org/10.1016/j.atmosres.2008.08.010doi:10.1016/j.atmosres.2008.08.010, 2009.

Gobbi, G. P., Barnaba, F., Giorgi, R., and Santacasa, A.: Altitude resolved properties of a Saharan dust event over the Mediterranean, Atmos. Environ., 34, 5119– 5127, http://dx.doi.org/10.1016/S1352-2310(00)00194-1doi:10.1016/S1352-2310(00)00194-1, 2000.

Grini, A., Myhre, G., Sundet, J. K., and Isaksen, I. S. A.: Modeling the annual cycle of sea salt in the global 3-D model Oslo CTM2: Concentrations, fluxes, and radiative impact, J. Clim., 15, 1717–1730, 2002.

Hess, M., Koepke, P., and Schult, I.: Optical properties of aerosols and clouds: The software package OPAC, B. Am. Meteor. Soc., 79, 831–844, 1998.

Holben, B. N., Eck, T. F., Slutsker, I., Tanre, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., Lavenu, F., Jankowiak, I., and Smirnov, A.: AERONET – A federated instrument network and data archive for aerosol characterization, Remote Sens. Environ., 66, 1–16, 1998.

Hoose, C., Kristjánsson, J. E., Iversen, T., Kirkevåg, A., Seland, Ø., and Gettelman, A.: Constraining cloud droplet number concentration in GCMs suppresses the aerosol indirect effect, Geophys. Res. Lett., 36, L12807, http://dx.doi.org/10.1029/2009GL038568doi:10.1029/2009GL038568, 2009.

Hunt, W., Winker, D., Vaughan, M., Powell, K., Lucker, P., and Weimer, C.: CALIPSO lidar description and performance assessment, J. Atmos. Ocean. Tech., 26, 1214–1228, 2009.

Hu, Y., Vaughan, M., McClain, C., Behrenfeld, M., Maring, H., Anderson, D., Sun-Mack, S., Flittner, D., Huang, J., Wielicki, B., Minnis, P., Weimer, C., Trepte, C., and Kuehn, R.: Global statistics of liquid water content and effective number concentration of water clouds over ocean derived from combined CALIPSO and MODIS measurements, Atmos. Chem. Phys., 7, 3353–3359, http://dx.doi.org/10.5194/acp-7-3353-2007doi:10.5194/acp-7-3353-2007, 2007.

Hu, Y., Stamnes, K., Vaughan, M., Pelon, J., Weimer, C., Wu, D., Cisewski, M., Sun, W., Yang, P., Lin, B., Omar, A., Flittner, D., Hostetler, C., Trepte, C., Winker, D., Gibson, G., and Santa-Maria, M.: Sea surface wind speed estimation from space-based lidar measurements, Atmos. Chem. Phys., 8, 3593–3601, http://dx.doi.org/10.5194/acp-8-3593-2008doi:10.5194/acp-8-3593-2008, 2008.

Huang, H., Thomas, G. E., and Grainger, R. G.: Relationship between wind speed and aerosol optical depth over remote ocean, Atmos. Chem. Phys., 10, 5943–5950, http://dx.doi.org/10.5194/acp-10-5943-2010doi:10.5194/acp-10-5943-2010, 2010.

Jacobson, M. Z.: Global direct radiative forcing due to multicomponent anthropogenic and natural aerosols, J. Geophys. Res., 106, 1551–1568, http://dx.doi.org/10.1029/2000JD900514doi:10.1029/2000JD900514, 2001.

Kaufman, Y., Smirnov, A., Holben, B., and Dubovik, O.: Baseline maritime aerosol: methodology to derive the optical thickness and scattering properties, Geophys. Res. Lett., 17, 3251–3254, http://dx.doi.org/10.1029/2001GL013312doi:10.1029/2001GL013312, 2001.

Kaufman, Y. J., Koren, I., Remer, L. A., Tanré, D., Ginoux, P., and Fan, S.: Dust transport and deposition observed from the Terra-Moderate Resolution Imaging Spectroradiometer (MODIS) spacecraft over the Atlantic Ocean, J. Geophys. Res., 110, D10S12, http://dx.doi.org/10.1029/2003JD004436doi:10.1029/2003JD004436, 2005.

Kittaka, C., Winker, D. M., Vaughan, M. A., Omar, A., and Remer, L. A.: Intercomparison of column aerosol optical depths from CALIPSO and MODIS-Aqua, Atmos. Meas. Tech., 4, 131–141, http://dx.doi.org/10.5194/amt-4-131-2011doi:10.5194/amt-4-131-2011, 2011.

Konda, M., Ichikawa, H., and Tomita, H.: Wind speed and latent heat flux retrieved by simultaneous observation of multiple geophysical parameters by AMSR-E, J. Remote Sens. Soc. Jpn, 29(1), 191–198, 2009.

Kutsuwada, K., Koyama, M., and Morimoto, N.: Validation of gridded surface wind products using spaceborne microwave sensors and their application to air-sea interaction in the Kuroshio Extension region, J. Remote Sens. Soc. Jpn, 29(1), 179–190, 2009.

Leck, C. and Bigg, E. K.: Source and evolution of the marine aerosol - A new perspective, Geophys. Res. Lett., 32, L19803, http://dx.doi.org/10.1029/2005GL023651doi:10.1029/2005GL023651, 2005.

Lehahn, Y., Koren, I., Boss, E., Ben-Ami, Y., and Altaratz, O.: Estimating the maritime component of aerosol optical depth and its dependency on surface wind speed using satellite data, Atmos. Chem. Phys., 10, 6711–6720, http://dx.doi.org/10.5194/acp-10-6711-2010doi:10.5194/acp-10-6711-2010, 2010.

L'Ecuyer, T. S. and Jiang, J. H.: Touring the atmosphere aboard the A-Train, Phys. Today, 63(7), 36–41, http://dx.doi.org/10.1063/1.3463626doi:10.1063/1.3463626, 2010.

Lewis, R. and Schwartz, S. E.: Sea Salt Aerosol Production: Mechanisms, Methods, Measurements, and Models – A Critical Review, Geophysical monograph 152, American Geophysical Union, Washington, DC, 413~pp., 2004.

Liu, Z., Omar, A. H., Hu, Y., Vaughan, M. A., and Winker, D. M.: CALIOP Algorithm Theoretical Basis Document, Part 3: Scene Classification Algorithms, Release 1.0, PC-SCI-202, NASA Langley Research Center, Hampton, VA, 56, available at: http://www-calipso.larc.nasa.gov/resources/pdfs/PC-SCI-202_Part3_v1.0.pdf, 2005.

Liu, Z., Vaughan, M. A., Winker, D. M., Hostetler, C. A., Poole, L., Hlavka, D., Hart, W., and McGill, M.: Use of probability distribution functions for discriminating between cloud and aerosol in lidar backscatter data, J. Geophys. Res., 109, D15202, http://dx.doi.org/10.1029/2004JD004732doi:10.1029/2004JD004732, 2004.

Liu, Z., Vaughan, M. A., Winker, D. M., Kittaka, C., Getzewich, B. J., Kuehn, R. E., Omar, A. H., Powell, K., Trepte, C. R., and Hostetler, C. A.: The CALIPSO Lidar Cloud and Aerosol Discrimination: Version 2 Algorithm and Initial Assessment of Performance, J. Atmos. Ocean. Tech., 26, 1198–1213, http://dx.doi.org/10.1175/2009JTECHA1229.1doi:10.1175/2009JTECHA1229.1, 2009.

Lohmann, U., Feichter, J., Penner, J., and Leaitch, R.: Indirect effect of sulfate and carbonaceous aerosols: A mechanistic treatment, J. Geophys. Res., 105(D10), 12193–12206, http://dx.doi.org/10.1029/1999JD901199doi:10.1029/1999JD901199, 2000.

Ma, X., von Salzen, K., and Li, J.: Modelling sea salt aerosol and its direct and indirect effects on climate, Atmos. Chem. Phys., 8, 1311–1327, http://dx.doi.org/10.5194/acp-8-1311-2008doi:10.5194/acp-8-1311-2008, 2008.

Masonis, S. J., Anderson, T. L., Covert, D. S., Kapustin, V., Clarke, A. D., Howell, S., and Moore, K.: A study of the extinction- to-backscatter ratio of marine aerosol during the Shoreline Environment Aerosol Study, J. Atmos. Ocean. Tech., 20, 1388–1402, 2003.

Meskhidze, N. and Nenes A.: Effects of ocean ecosystem on marine aerosol-cloud interaction, Adv. in Meteorol., 2010, 239808, http://dx.doi.org/10.1155/2010/239808doi:10.1155/2010/239808, 2010.

Middlebrook, A., Murphy, D., and Thomson, D.: Observations of organic material in individual marine particles at Cape Grim during the First Aerosol Characterization Experiment (ACE 1), J. Geophys. Res., 103(D13), 16475–16483, http://dx.doi.org/10.1029/97JD03719doi:10.1029/97JD03719, 1998.

Mielonen, T., Arola, A., Komppula, M., Kukkonen, J., Koskinen, J., de Leeuw, G., and Lehtinen, K. E. J.: Comparison of CALIOP level 2 aerosol subtypes to aerosol types derived from AERONET inversion data, Geophys. Res. Lett., 36, L18804, http://dx.doi.org/10.1029/2009GL039609doi:10.1029/2009GL039609, 2009.

Monahan, E. C., Spiel, D. E., and Davidson, K. L.: A model of marine aerosol generation via whitecaps and wave disruption, in: Oceanic whitecaps and their role in air-sea exchange processes, edited by: Monahan, E. and Niocaill, G. M., D. Reidel, Norwell, Mass, 167–174, 1986.

Moorthy, K. K. and Satheesh, S. K.: Characteristics of aerosols over a remote island, Minicoy in the Arabian Sea: optical properties and retrieved size characteristics, Q. J. Roy. Meteor. Soc., 126, 81–109, http://dx.doi.org/10.1002/qj.49712656205doi:10.1002/qj.49712656205, 2000.

Mulcahy, J. P., O'Dowd, C. D., Jennings, S. G., and Ceburnis, D.: Significant enhancement of aerosol optical depth in marine air under high wind conditions, Geophys. Res. Lett., 35, L16810, http://dx.doi.org/10.1029/2008GL034303doi:10.1029/2008GL034303, 2008.

Murayama, T., Sugimoto, N., Uno, I., Kinoshita, K., Aoki, K., Hagiwara, N., Liu, Z., Matsui, I., Sakai, T., Shibata, T., Arao, K., Sohn, B., Won, J., Yoon, S., Li, T., Zhou, J., Hu, H., Abo, M., Iokibe, K., Koga, R., and Iwasaka, Y: Ground-based network observation of Asian dust events of April 1998 in East Asia, J. Geophys. Res., 106, 18345–18359, http://dx.doi.org/10.1029/2000JD900554doi:10.1029/2000JD900554, 2001.

Murphy, D. M., Anderson, J. R., Quinn, P. K., McInnes, L. M., Brechtel, F. J., Kreidenweis, S. M., Middlebrook, A. M., P'osfai, M., Thomson, D. S., and Buseck, P. R.: Influence of sea-salt on aerosol radiative properties in the Southern Ocean marine boundary layer, Nature, 392, 62–65, http://dx.doi.org/10.1038/32138doi:10.1038/32138, 1998.

O�Dowd, C. D., Facchini, M. C., Cavalli, F., Ceburnis, D., Mircea, M., Decesari, S., Fuzzi, S., Yoon, Y. J., and Putaud, J.-P.: Biogenically driven organic contribution to marine aerosol, Nature, 431, 676–680, http://dx.doi.org/10.1038/nature02959doi:10.1038/nature02959, 2004.

O'Dowd, C. D. and de Leeuw, G.: Marine aerosol production: A review of the current knowledge, Phil. Trans. R. Soc. A: Mathematical, Phys. Eng. Sci., 365, 1753–1774, http://dx.doi.org/10.1098/rsta.2007.2043doi:10.1098/rsta.2007.2043, 2007.

O'Dowd, C., Scannell, C., Mulcahy, J., and Jennings, S. G.: Wind Speed Influences on Marine Aerosol Optical Depth, Adv. in Meteorol., 2010, 830846, http://dx.doi.org/10.1155/2010/830846doi:10.1155/2010/830846, 2010.

Omar, A. H. and Babakaeva, T.: Aerosol optical properties derived from lidar observations using cluster analysis, Geoscience and Remote Sensing Symposium, 2004, IGARSS '04, Proceedings, 2004 IEEE International, vol 3, 2212–2215, http://dx.doi.org/10.1109/IGARSS.2004.1370800doi:10.1109/IGARSS.2004.1370800, 2004.

Omar, A., Won, J., Winker, D., Yoon, S., Dubovik, O., and McCormick, M.: Development of global aerosol models using cluster analysis of Aerosol Robotic Network (AERONET) measurements, J. Geophys. Res., 110, D10S14, http://dx.doi.org/10.1029/2004JD004874doi:10.1029/2004JD004874, 2005.

Omar, A., Winker, D., Vaughan, M., Hu, Y., Trepte, C., Ferrare, R., Lee, K., Hostetler, C., Kittaka, C., Rogers, R., Kuehn, R., Liu, Z.: The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm, J. Atmos. Ocean. Tech., 26, 1994–2014, http://dx.doi.org/10.1175/2009JTECHA1231.1doi:10.1175/2009JTECHA1231.1, 2009.

Pant, V., Deshpande, C. G., and Kamra, A. K.: On the aerosol number concentration–wind speed relationship during a severe cyclonic storm over south Indian Ocean, J. Geophys. Res., 113, D02206, http://dx.doi.org/10.1029/2006JD008035doi:10.1029/2006JD008035, 2008.

Pierce, J. R. and Adams, P. J.: Global evaluation of CCN formation by direct emission of sea salt and growth of ultrafine sea salt, J. Geophys. Res., 111, D06203, http://dx.doi.org/10.1029/2005JD006186doi:10.1029/2005JD006186, 2006.

Platnick, S. and Twomey, S.: Determining the susceptibility of cloud albedo to changes in droplet concentration with the advanced very high resolution radiometer, J. Appl. Meteor., 33(5), 334–347, 1994.

Prospero, J. M.: The chemical and physical properties of marine aerosols: An introduction, in: Chemistry of Marine Water and Sediments, edited by: Gianguzza, A., Pelizzetti, E., and Sammartano, S., Springer-Verlag, 35–82, 2002.

Rind, D., Chin, M., Feingold, G., Streets, D., Kahn, R. A., Schwartz, S. E., and Yu, H.: Modeling the Effects of Aerosols on Climate, in: Atmospheric Aerosol Properties and Climate Impacts, A Report by the US Climate Change Science Program and the Subcommittee on Global Change Research, edited by: Chin, M., Kahn, R. A., and Schwartz, S. E., National Aeronautics and Space Administration, Washington, DC, USA, 2009.

Rogers, R. R., Hair, J. W., Hostetler, C. A., Ferrare, R. A., Obland, M. D., Cook, A. L., Harper, D. B., Burton, S. P., Shinozuka, Y., McNaughton, C. S., Clarke, A. D., Redemann, J., Russell, P. B., Livingston, J. M., and Kleinman, L. I.: NASA LaRC airborne high spectral resolution lidar aerosol measurements during MILAGRO: observations and validation, Atmos. Chem. Phys., 9, 4811–4826, http://dx.doi.org/10.5194/acp-9-4811-2009doi:10.5194/acp-9-4811-2009, 2009.

Sakai, T., Nagai, T., Zaizen, Y., and Mano, Y.: Backscattering linear depolarization ratio measurements of mineral, sea-salt, and ammonium sulfate particles simulated in a laboratory chamber, Appl. Optics, 49, 4441–4449, 2010.

Schulz, M., de Leeuw, G., and Balkanski, Y.: Sea-salt aerosol source functions and emissions, in: Emissions of Atmospheric Trace Compounds, edited by: Granier, C., Artaxo, P., Reeves, C., Springer, New York, USA, 333–359, 2004.

Sellegri, K., Villani, P., Picard, D., Dupuy, R., O'Dowd, C., and Laj, P.: Role of the volatile fraction of submicron marine aerosol on its hygroscopic properties, Atmos. Res., 90, 272–277, 2008.

Shaw, G. E.: Bio-controlled thermostasis involving the sulfur cycle, Climatic Change, 5(3), 297–303, http://dx.doi.org/10.1007/BF02423524doi:10.1007/BF02423524, 1983.

Smirnov, A., Holben, B., Eck, T., Dubovik, O., and Slutsker, I.: Effect of wind speed on columnar aerosol optical properties at Midway Island, J. Geophys. Res., 108(D24), 4802, http://dx.doi.org/10.1029/2003JD003879doi:10.1029/2003JD003879, 2003a.

Smirnov, A., Holben, B., Dubovik, O., Frouin, R., Eck, T., and Slutsker, I.: Maritime component in aerosol optical models derived from Aerosol Robotic Network data, J. Geophys. Res., 108(D1), 4033, http://dx.doi.org/10.1029/2002JD002701doi:10.1029/2002JD002701, 2003b.

Takemura, T., Nakajima, T., Dubovik, O., Holben, B. N., and Kinne, S.: Single-scattering albedo and radiative forcing of various aerosol species with a global three-dimensional model, J. Climate, 15, 333–352, 2002.

Vaughan, M. A., Young, S. A., Winker, D. M., Powell, K. A., Omar, A. H., Liu, Z., Hu, Y., and Hostetler, C. A.: Fully automated analysis of space-based lidar data: an overview of the CALIPSO retrieval algorithms and data products, Proc. SPIE, 5575, 16–30, 2004.

Vaughan, M. A., Winker, D. M., and Powell, K. A.: CALIOP Algorithm Theoretical Basis Document, Part 2: Feature Detection and Layer Properties Algorithms, PC-SCI-202, Release 1.01, 87~pp., NASA Langley Research Center, Hampton, VA, 56, available at: http://www-calipso.larc.nasa.gov/resources/pdfs/PC-SCI-202_Part2_rev1x01.pdf, 2005.

Vaughan, M. A., Powell, K. A., Winker, D. M., Hostetler, C. A., Kuehn, R E., Hunt, W. H., Getzewich, B. J., Young, S. A., Liu, Z., and McGill, M. J.: Fully automated detection of cloud and aerosol layers in the CALIPSO lidar measurements, J. Atmos. Ocean. Tech., 26, 2034–2050, 2009.

Wang, M. and Penner, J. E.: Aerosol indirect forcing in a global model with particle nucleation, Atmos. Chem. Phys., 9, 239–260, http://dx.doi.org/10.5194/acp-9-239-2009doi:10.5194/acp-9-239-2009, 2009.

Wang, C. S. and Street, R. L.: Transfers Across an Air-Water Interface at High Wind Speeds: The Effect of Spray, J. Geophys. Res., 83(C6), 2959–2969, http://dx.doi.org/10.1029/JC083iC06p02959doi:10.1029/JC083iC06p02959, 1978.

Weitkamp, C.: Lidar: range-resolved optical remote sensing of the atmosphere, Springer Science, 455~pp, 2005.

Welton, E. J., Voss, K. J., Quinn, P. K., Flatau, P. J., Markowicz, K., Campbell, J. R., Spinhirne, J. D., Gordon, H. R., and Johnson, J. E.: Measurements of aerosol vertical profiles and optical properties during INDOEX 1999 using micropulse lidars, J. Geophys. Res., 107(D19), 8019, http://dx.doi.org/10.1029/2000JD000038doi:10.1029/2000JD000038, 2002.

Wentz, F. J. and Meissner, T.: AMSR Ocean Algorithm Theoretical Basis Document, Version 2, report number 121599A-1, Remote Sensing Systems, Santa Rosa, CA, 2000.

Wentz, F. J. and Meissner, T.: AMSR-E Ocean Algorithms, report number 051707, Remote Sensing Systems, Santa Rosa, CA, 6~pp., 2007.

Wentz, F. J., Gentemann, C., and Ashcroft, P.: On-orbit calibration of AMSR-E and the retrieval of ocean products, 83rd AMS Annual Meeting, American Meteorological Society, Long Beach, CA, 2003.

Winker, D. M. and Pelon, J.: The CALIPSO mission, Geoscience and Remote Sensing Symposium, IGARSS '03, Proceedings, IEEE International, 2, 1329–1331, 2003.

Winker, D. M., Vaughan, M. A., Omar, A. H., Hu, Y., Powell, K. A., Liu, Z., Hunt, W. H., and Young, S. A.: Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms, J. Atmos. Ocean. Tech., 26, 2310–2323, 2009.

Young, S. A and Vaughan, M. A.: The retrieval of profiles of particulate extinction from Cloud Aerosol Lidar Infrared Pathfinder Satellite Observation (CALIPSO) data: Algorithm description, J. Atmos. Ocean. Tech., 26, 1105–1119, 2009.

Zhou, X. and Mopper, K.: Photochemical production of low molecular-weight carbonyl compounds in seawater and surface microlayer and their air-sea exchange, Mar. Chem., 56, 201–213, 1997.