Development towards a global operational aerosol consensus: Basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)

Atmospheric Chemistry and Physics

Volumn 15, Issue 1, 2015, Pages 335-362

  Sessions, W R ^a   Reid, J S ^b   Benedetti, A ^c   Colarco, P R ^d   Da Silva, A ^d   Lu, S ^e   Sekiyama, T ^f   Tanaka, T Y ^f   Baldasano, J M ^g   Basart, S ^g   Brooks, M E ^h   Eck, T F ^d   Iredell, M ^e   Hansen, J A ^b   Jorba, O C ^g   Juang, H M H ^e   Lynch, P ^a   Morcrette, J J ^c   Moorthi, S ^e   Mulcahy, J ^h   Pradhan, Y ^h   Razinger, M ^c   Sampson, C B ^b   Wang, J ^e,i   Westphal, D L ^b   more..

^a CSC   (United States)

^b NAVAL RESEARCH LABORATORY   (United States)

^c EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

^d NASA HEADQUARTERS   (United States)

^e CLIMATE PREDICTION CENTER   (United States)

^f JAPAN METEOROLOGICAL AGENCY   (Japan)

^g BARCELONA SUPERCOMPUTING CENTER   (Spain)

^h MET OFFICE   (United Kingdom)

ⁱ IM Systems Group Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AERONET; AEROSOL; BIOMASS BURNING; CLIMATE MODELING; CLIMATOLOGY; DUST; ENSEMBLE FORECASTING; NOAA SATELLITE; REGIONAL CLIMATE;

SOUTHERN OCEAN;

EID: 84921059154     PISSN: 16807316     EISSN: 16807324     Source Type: Journal    
DOI: 10.5194/acp-15-335-2015     Document Type: Article

References (148)

1. Arola, A., Eck, T. F., Huttunen, J., Lehtinen, K. E. J., Lindfors, A. V., Myhre, G., Smirnov, A., Tripathi, S. N., and Yu, H.: Influence of observed diurnal cycles of aerosol optical depth on aerosol direct radiative effect, Atmos. Chem. Phys., 13, 7895-7901, doi:10.5194/acp-13-7895-2013, 2013.
2. Baldwin, M. E. and Kain, J. S.: Sensitivity of several performance measures to displacement error, bias, and event frequency, Weather Forecast., 21, 636-648, 2006.
3. Benedetti, A. and Fisher, M.: Background error statistics for aerosols, Q. J. Roy. Meteorol. Soc., 133, 391-405, doi:10.1002/qj.37, 2007.
4. Benedetti, A., Morcrette, J.-J., Boucher, O., Dethof, A., Engelen, R. J., Fisher, M., Flentje, H., Huneeus, N., Jones, L., Kaiser, J. W., Kinne, S., Mangold, A., Razinger, M., Simmons, A. J., and Suttie, M.: Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: 2. Data assimilation, J. Geophys. Res., 114, D13205, doi:10.1029/2008JD011115, 2009.
5. Benedetti, A., Baldasano, J., Basart, S., Benincasa, F., Boucher, O., Brooks, M., Chen, J.-P., Colarco, P., Gong, S., Huneeus, N., Jones, L., Lu, S., Menut, L., Morcrette, J.-J., Mulcahy, J., Nickovic, S., Pérez García-Pando, C., Reid, J., Sekiyama, T., Tanaka, T., Terradellas, E., Westphal, D., Zhang, X.-Y., and Zhou, C.-H.: Operational Dust Prediction, in: Mineral Dust - A Key Player in the Earth Systems, edited by: Knippertz, P. and Stuut, J.-B. W., 223-265, Springer, the Netherlands, ISBN 978-94-017-8977-6, 2014.
6. Black, T., Juang, H. M. H., and Iredell, M.: The NOAA Environmental Modeling System at NCEP, Preprints, 23rd Conference on Weather Analysis and Forecasting/19th Conferenceon Numerical Weather Prediction, Omaga, NE, Ameri. Met. Soc., 2 A.6, available at: http://ams.confex.com/ams/23WAF19NWP/techprogram/paper-154223.htm (last access: 29 May 2014), 2009.
7. Boucher, O., Pham, M., and Venkataraman, C.: Simulation of the atmospheric sulfur cycle in the LMD GCM: Model description, model evaluation, and global and European budgets, Note 23, 26 pp., Inst. Pierre-Simon Laplace, Paris, France, available at: http://icmc.ipsl.fr/images/publications/scientific-notes/note23.pdf (last access: 6 June 2014), 2002.
8. Buizza, R., Houtekamer, P., L., Pellerin, G., Toth, Z., Zhu, Y., and Wei, M.: A Comparison of the ECMWF, MSC, and NCEP Global Ensemble Prediction Systems, Mon. Weather Rev., 133, 1076-1097, 2005.
9. Carn, S. A., Krueger, A. J., Krotkov, N. A., Yang, K., and Evans, K.: Tracking volcanic sulfur dioxide clouds for aviation hazard mitigation, Nat. Hazards, 51, 325-343, 2009.
10. Casanova, S. and Ahrens, B.: On the weighting of multimodel ensembles in seasonal and short-range weather forecasting, Mon. Weather Rev., 137, 3811-3822, 2009.
11. Chew, B. N., Campbell, J. R., Reid, J. S., Giles, D. M., Welton, E. J., Salinas, S. V., and Liew, S. C.: Tropical cirrus cloud contamination in sun photometer data, Atmos. Environ., 45, 6724-6731, doi:10.1016/j.atmosenv.2011.08.017, 2011.
12. Chin, M., Ginoux, P., Kinne, S., Torres, O., Holben, B. N., Duncan, B. N., Martin, R. V., Logan, J. A., Higurashi, A., and Nakajima, T.: Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and sun photometer measurements, J. Atmos. Sci., 59, 461-483, 2002.
13. Christensen, J. H.: The Danish eulerian hemispheric model - A three dimensional air pollution model used for the Arctic, Atmos. Environ., 31, 4169-4191, 1997.
14. Colarco, P. R., Schoeberl, M. R., Doddridge, B. G., Marufu. L. T., Torres, O., and Welton, E. J.: Transport of smoke from Canadian forest fires to the surface near Washington, DC: Injection height, entrainment, and optical properties, J. Geophys. Res., 109, D06203, doi:10.1029/2003JD004248, 2004.
15. Colarco, P., da Silva, A., Chin, M., and Diehl, T.: Online simulations of global aerosol distributions in the NASA GEOS-4 model and comparisons to satellite and ground-based aerosol optical depth, J. Geophys. Res., 115, D14207, doi:10.1029/2009JD012820, 2010.
16. Collins, W. J., Bellouin, N., Doutriaux-Boucher, M., Gedney, N., Halloran, P., Hinton, T., Hughes, J., Jones, C. D., Joshi, M., Liddicoat, S., Martin, G., O'Connor, F., Rae, J., Senior, C., Sitch, S., Totterdell, I., Wiltshire, A., and Woodward, S.: Development and evaluation of an Earth-System model - HadGEM2, Geosci. Model Dev., 4, 1051-1075, doi:10.5194/gmd-4-1051-2011, 2011.
17. Darmenov, A. and da Silva, A.: The Quick Fire Emissions Dataset (QFED) - Documentation of versions 2.1, 2.2 and 2.4. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM-2013-104606, Vol. 32, 183 pp., 2013.
18. Damoah, R., Spichtinger, N., Forster, C., James, P., Mattis, I., Wandinger, U., Beirle, S., Wagner, T., and Stohl, A.: Around the world in 17 days - hemispheric-scale transport of forest fire smoke from Russia in May 2003, Atmos. Chem. Phys., 4, 1311-1321, doi:10.5194/acp-4-1311-2004, 2004.
19. Dee, D. and da Silva, A.: Maximum-likelihood estimation of forecast and observation error covariance parameters, Part I: Methodology, Mon. Weather Rev., 124, 1669-1694, 1999.
20. Dee, D. P. and Uppala, S.: Variational bias correction of satellite radiance data in the ERA-Interim reanalysis, Q. J. Roy. Meteor. Soc., 135, 1830-1841, 2009.
21. Dee, D. P., Rukhovets, L., Todling, R., Da Silva, A. M., and Larson, J. W.: An Adaptive Buddy Check for Observational Quality Control, Q. J. Roy. Meteor. Soc., 127, 2451-2471, 2001.
22. Del Sole, T., Yang, X., and Tippett, M. K.: Is unequal weighting seignificantly better than equal weighting for multi-model forecasting?, Q. J. Roy. Meteor. Soc., 139, 176-183, 2013.
23. DeMaria, M., Knalff, J. A., and Kaplan, J.: On the decay of tropical cyclone winds crossing narrow landmasses, J. Appl. Meteorol. Clim., 45, 491-499, 2006.
24. Dentener, F., Kinne, S., Bond, T., Boucher, O., Cofala, J., Generoso, S., Ginoux, P., Gong, S., Hoelzemann, J. J., Ito, A., Marelli, L., Penner, J. E., Putaud, J.-P., Textor, C., Schulz, M., van der Werf, G. R., and Wilson, J.: Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for Aero Com, Atmos. Chem. Phys., 6, 4321-4344, doi:10.5194/acp-6-4321-2006, 2006.
25. Dunion, J. P. and Velden, C.: The impact of the Saharan air layer on Atlantic cyclone activity, B. Am. Meteorol. Soc., 85, 353-365, 2004.
26. Dunstone, N. J., Smith, D. M., Booth, B. B. B., Hermanson, L., and Eade, R.: Anthropogenic aerosol forcing of Atlantic tropical storms, Nat. Geosci., 6, 534-539, 2013.
27. Eck, T. F., Holben, B. N., Reid, J. S., Dubovik, O., Smirnov, A., O'Neill, N. T., Slutsker, I., and Kinne, S.: Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols, J. Geophys. Res., 104, 31333-31349, 1999.
28. Eck, T. F., Holben, B. N., Sinyuk, A., Pinker, R. T., Goloub, P., Chen, H., Chatenet, B., Li, Z., Singh, R. P., Tripathi, S. N., Reid, J. S., Giles, D. M., Dubovik, O., O'Neill, N. T., Smirnov, A., Wang, P., and Xia, X: Climatological aspects of the optical properties of fine/coarse mode aerosol mixtures, J. Geophys. Res., 115, D19205, doi:10.1029/2010JD014002, 2010.
29. Evan, A. T., Heidinger, A. K., Bennartzm, R., Bennington, V., Hamhwald, N. M., Corrada-Bravo, H., Velden, C. S., Myhre, G., and Kossin, J. P.: Ocean temperatures forcing by aerosols across the Atlantic tropical cyclone development region, Geochem. Geophy. Geosy., 9, Q05V04, doi:10.1029/2007GC001774, 2008.
30. Fécan, F., Marticorena, B., and Bergametti, G.: Parametrization of the increase of the aeolian erosion threshold wind friction velocity due to soil moisture for arid and semi-arid areas, Ann. Geophys., 17, 149-157, doi:10.1007/s00585-999-0149-7, 1999.
31. Fordham, D. A., Wigley, T. M., Watts, M. J., and Brook, B. W.: Strengthening forecasts of climate change impacts with multi-model ensemble averaged projections using MAGICC/SCENGEN 5.3, Ecography, 35, 4-8, 2012.
32. Gautam, R., Hsu, N. C., Kafatos, M., and Tsay, S.-C.: Influences of winter haze on fog/low cloud cover over the Indo-Gangetic plains, J. Geophys. Res., 1112, D05207, doi:10.1029/2005JD007036, 2007.
33. Gautam, R., Liu, Z., Singh, R. P., and Hsu, N. C.: Two contrasting dust-dominant periods over India observed from MODIS and CALIPSO data, Geophys. Res. Lett., 36, L06813, doi:10.1029/2008GL036967, 2009.
34. Gautam, R., Hsu, N. C., Tsay, S. C., Lau, K. M., Holben, B., Bell, S., Smirnov, A., Li, C., Hansell, R., Ji, Q., Payra, S., Aryal, D., Kayastha, R., and Kim, K. M.: Accumulation of aerosols over the Indo-Gangetic plains and southern slopes of the Himalayas: distribution, properties and radiative effects during the 2009 pre-monsoon season, Atmos. Chem. Phys., 11, 12841-12863, doi:10.5194/acp-11-12841-2011, 2011.
35. Gillette, D.: A wind tunnel simulation of the erosion of soil: Effect of soil texture, sandblasting, wind speed, and soil consolidation on dust production, Atmos. Environ., 12, 1735-1743, 1978.
36. Ginoux, P., Chin, M., Tegen, I., Prospero, J. M., Holben, B. N., Dubovik, O., and Lin, S.-J.: Sources and distributions of dust aerosols simulated with the GOCART model, J. Geophys. Res., 106, 20255-20273, doi:10.1029/2000JD000053, 2001.
37. Goerss, J. S.: Tropical cyclone track forecasts using an ensemble of dynamical models, Mon. Weather Rev., 128, 1187-1193, 2000.
38. Gong, S. L.: A parameterization of sea-salt aerosol source function for sub and super-micron particles, Global Biogeochem. Cy., 17, 1097, doi:10.1029/2003GB002079, 2003.
39. Guelle, W., Schulz, M., Balkanski, Y., and Dentener, F.: Influence of the source formulation on modeling the atmospheric global distribution of the sea salt aerosol, J. Geophys. Res., 106, 27509-27524, 2001.
40. Hamill, T. M.: Interpretation of Rank Histograms for Verifying Ensemble Forecasts, Mon. Weather Rev., 129, 550-560, 2001.
41. Haustein, K., Pérez, C., Baldasano, J. M., Jorba, O., Basart, S., Miller, R. L., Janjic, Z., Black, T., Nickovic, S., Todd, M. C., Washington, R., Müller, D., Tesche, M., Weinzierl, B., Esselborn, M., and Schladitz, A.: Atmospheric dust modeling from meso to global scales with the online NMMB/BSC-Dust model - Part 2: Experimental campaigns in Northern Africa, Atmos. Chem. Phys., 12, 2933-2958, doi:10.5194/acp-12-2933-2012, 2012.
42. Haywood, J. M., Allan, R. P., Culverwell, I., Slingo, T., Milton, S., Edwards, J., and Clerbaux, N.: Can desert dust explain the outgoing longwave radiation anomaly over the Sahara during July 2003?, J. Geophys. Res. D Atmos., 110, 1-14, doi:10.1029/2004JD005232, 2005.
43. Hess, M., Koepke, P., and Schult, I.: Optical properties of aerosols and clouds: The software package OPAC, B. Am. Meteorol. Soc., 79, 831-844, 1998.
44. Hill, C., DeLuca, C., Balaji, V., Suarez, M., da Silva, A., and the ESMF Joint Specification Team: The architecture of the earth system modeling framework, IEEE Computing in Science and Engineering, Grand Challenges in Earth System Modeling, 6, 19-28, 2004.
45. Hogan, T. F. and Rosmond, T. E.: The description of the Navy Operational Global Atmospheric Prediction System's Spectral Forecast Model, Mon. Weather Rev., 119, 1786-1815, 1991.
46. Holben, B. N., Eck, T. F., Slutsker, I., Tanre, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y., 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.
47. Hsu, N., Tsay, S. C., King, M. D., and Herman, J. R.: Aerosol properties over bright-reflecting source regions, IEEE T. Geosci. Remote, 43, 557-569, 2004.
48. Hsu, N., Tsay, S. C., and King, M.: Deep blue retrievals of Asian aerosol properties during ACE-Asia, IEEE T. Geosci. Remote, 44, 3180-3195, 2006.
49. Hyer, E. J., Reid, J. S., and Zhang, J.: An over-land aerosol optical depth data set for data assimilation by filtering, correction, and aggregation of MODIS Collection 5 optical depth retrievals, Atmos. Meas. Tech., 4, 379-408, doi:10.5194/amt-4-379-2011, 2011.
50. Hyer, E. J., Reid, J. S., Prins, E., Hoffman, J. P., Schmidt, C. C., Miettinen, J. I., and Giglio, L.: Patterns of Fire Activity over Indonesia and Malaysia from Polar and Geostationary Satellite Observations, Atmos. Res., 122, 504-519, doi:10.1016/j.atmosres.2012.06.011, 2013.
51. Ignatov, A. and Gutman, G.: The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models, Int. J. Remote Sens., 19, 1533-1543, doi:10.1080/014311698215333, 1998.
52. Jaeglé, L., Quinn, P. K., Bates, T. S., Alexander, B., and Lin, J.-T.: Global distribution of sea salt aerosols: new constraints from in situ and remote sensing observations, Atmos. Chem. Phys., 11, 3137-3157, doi:10.5194/acp-11-3137-2011, 2011.
53. Janjic, Z. I.: The step-mountain eta coordinate model: further developments of the convection, viscous sublayer, and turbulence closure schemes, Mon. Weather Rev., 122, 927-945, doi:10.1175/1520-0493(1994)122<0927:TSMECM>2.0.CO;2, 1994.
54. Janjic, Z. and Gall R.: Scientific documentation of the NCEP nonhydrostatic multiscale model on the B grid (NMMB), Part 1 Dynamics, Tech. rep. NCAR/TN-268 489CSTR, 2012, available at: http://nldr.library.ucar.edu/repository/assets/technotes/TECH-NOTE-000-000-000-857.pdf (last access: December 2013), 2012.
55. Janjic, Z., Janjic, T., and Vasic, R.: A class of conservative fourth order advection schemes and impact of enhanced formal accuracy on extended range forecast, Mon. Weather Rev., 139, 1556-1568, doi:10.1175/2010MWR3448.1, 2011.
56. Johnson, B. T., Brooks, M. E., Walters, D., Christopher, S., and Schepanski, K.: Assessment of the Met Office dust forecast model using observations from the GERBILS campaign, Q. J. Roy. Meteor. Soc., 137, 1131-1148, doi:10.1002/qj.736, 2011.
57. Jorba, O., D. Dabdub, D., Blaszczak-Boxe, C., Péerez, C., Janjic, Z., Baldasano, J. M., Spada, M., Badia, A., and Gonçalves M.: Potential Significance of Photoexcited NO2 on Global Air Quality with the NMMB/BSC Chemical Transport Model, J. Geophys. Res., 117, D13301, doi:10.1029/2012JD017730, 2012.
58. Kaiser, J. W., Heil, A., Andreae, M. O., Benedetti, A., Chubarova, N., Jones, L., Morcrette, J.-J., Razinger, M., Schultz, M. G., Suttie, M., and van der Werf, G. R.: Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power, Biogeosciences, 9, 527-554, doi:10.5194/bg-9-527-2012, 2012.
59. Kaplan, J. and Demaria, M.: On the decay of tropical cyclone winds after landfall in New England area, J. Appl. Meteorol., 40, 280-286, 2001.
60. Kar, J., Deeter, M. N., Fishman, J., Liu, Z., Omar, A., Creilson, J. K., Trepte, C. R., Vaughan, M. A., and Winker, D. M.: Wintertime pollution over the Eastern Indo-Gangetic Plains as observed from MOPITT, CALIPSO and tropospheric ozone residual data, Atmos. Chem. Phys., 10, 12273-12283, doi:10.5194/acp-10-12273-2010, 2010.
61. Karyampudi, V. M. and Carlson, T. N.: Analysis and numerical simulations of the Saharan air layer and its effect on easterly wave disturbances, J. Atmos. Sci., 45, 3103-3136, 1988.
62. Karyampudi, V. M. and Pierce, H. F.: Synoptic-scale influence of the Saharan air layer on tropical cyclogenesis over the Eastern Atlantic, Mon. Weather Rev., 130, 3100-3128, 2002.
63. Kaufman, Y. J., Wald, A. E., Remer, L. A., Gao, B. C., Li, R. R., and Flynn, L.: The MODIS 2.1 μm channel - Correlation with visible reflectance for use in remote sensing of aerosol, IEEE T. Geosci. Remote, 35, 1286-1298, 1997a.
64. Kaufman, Y. J., Tanre, D., Remer, L. A., Vermote, E. F., Chu, A., and Holben, B. N.: Operational remote sensing of tropospheric aerosol over the land from EOS-MODIS, J. Geophys. Res., 102, 17051-17061, 1997b.
65. Kettle, A., Andreae, M., Amouroux, D., Andreae, T., Bates, T., Berresheim, H., Bingemer, H., Boniforti, R., Curran, M., DiTullio, G., Helas, G., Jones, G., Keller, M., Kiene, R., Leck, C., Levasseur, M., Malin, G., Maspero, M., Matrai, P., McTaggart, A., Mihalopoulos, N., Nguyen, B., Novo, A., Putaud, J., Rapsomanikis, S., Roberts, G., Schebeske, G., Sharma, S., Simo, R., Staubes, R., Turner, S., and Uher, G.: A global database of sea surface dimethylsulfide (DMS) measurements and a procedure to predict sea surface DMS as a function of latitude, longitude, and month, Global Biogeochem. Cy., 13, 399-444, 1999.
66. Kinne, S., Schulz, M., Textor, C., Guibert, S., Balkanski, Y., Bauer, S. E., Berntsen, T., Berglen, T. F., Boucher, O., Chin, M., Collins, W., Dentener, F., Diehl, T., Easter, R., Feichter, J., Fillmore, D., Ghan, S., Ginoux, P., Gong, S., Grini, A., Hendricks, J., Herzog, M., Horowitz, L., Isaksen, I., Iversen, T., Kirkevåg, A., Kloster, S., Koch, D., Kristjansson, J. E., Krol, M., Lauer, A., Lamarque, J. F., Lesins, G., Liu, X., Lohmann, U., Montanaro, V., Myhre, G., Penner, J., Pitari, G., Reddy, S., Seland, O., Stier, P., Takemura, T., and Tie, X.: An AeroCom initial assessment - optical properties in aerosol component modules of global models, Atmos. Chem. Phys., 6, 1815-1834, doi:10.5194/acp-6-1815-2006, 2006.
67. Knutti, R., Furrer, R., Tebaldi, C., Cermak, J., and Meehl, G. A.: Challenges in Combining Projections from Multiple Climate Models, J. Climate, 23, 2739-2758, 2010.
68. Koe, L. C. C., Arellano Jr., A. F., and McGregor, J. L.: Investigating the haze transport from 1997 biomass burning in Southeast Asia: its impact upon Singapore, Atmos. Environ., 35, 2723-2734, 2001.
69. Krishnamurti, T. N., Kishtawal, C. M., LaRow, T. E., Bachiochi, D. R., Zhang, Z., Williford, C. E., Gadgil, S., and Surendran, S.: Improved weather and seasonal climate forecasts from multimodel superensemble, Science, 285, 1548-1550, 1999.
70. Kukkonen, J., Olsson, T., Schultz, D. M., Baklanov, A., Klein, T., Miranda, A. I., Monteiro, A., Hirtl, M., Tarvainen, V., Boy, M., Peuch, V.-H., Poupkou, A., Kioutsioukis, I., Finardi, S., Sofiev, M., Sokhi, R., Lehtinen, K. E. J., Karatzas, K., San José, R., Astitha, M., Kallos, G., Schaap, M., Reimer, E., Jakobs, H., and Eben, K.: A review of operational, regional-scale, chemical weather forecasting models in Europe, Atmos. Chem. Phys., 12, 1-87, doi:10.5194/acp-12-1-2012, 2012.
71. Lamarque, J.-F., Bond, T. C., Eyring, V., Granier, C., Heil, A., Klimont, Z., Lee, D., Liousse, C., Mieville, A., Owen, B., Schultz, M. G., Shindell, D., Smith, S. J., Stehfest, E., Van Aardenne, J., Cooper, O. R., Kainuma, M., Mahowald, N., McConnell, J. R., Naik, V., Riahi, K., and van Vuuren, D. P.: Historical (1850-2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application, Atmos. Chem. Phys., 10, 7017-7039, doi:10.5194/acp- 10-7017-2010, 2010.
72. Lary, D., Remer, L. A., MacNeil, D., Roscoe, B., and Paradise, S.: Machine Learning and Bias Correction of MODIS Aerosol Optical Depth, IEEE Geosci. Remote S., 6, 694-698, doi:10.1109/LGRS.2009.2023605, 2010.
73. Leslie, L. M. and Fraedrich, K.: Reduction of tropical cyclone position errors using an optimal combination of independent forecasts, Weather Forecast., 5, 158-161, 1990.
74. Levy, R., Remer, L., Mattoo, S., Vermote, E., and Kaufman, Y. J.: Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance, J. Geophys. Res.-Atmos., 112, D13211, doi:10.1029/2006JD007811, 2007.
75. Levy, R., Remer, L., Tanre, D., Mattoo, S., and Kaufman, Y.: Algorithm for remote sensing of tropospheric aerosol over dark targets from MODIS: Collections 005 and 051: Revsion 2, February 2009, MODIS Algorithm Theoretical Basis Document, available at: http://modis-atmos.gsfc.nasa.gov/-docs/ATBD-MOD04-C005-rev2.pdf (last access: October 2014), 2009.
76. Lorenz, E. N.: Deterministic nonperiodic flow, J. Atmos. Sci., 20, 130-141, 1963.
77. Lorenz, E. N.: A study of the predictability of a 28-variable atmospheric model, Tellus, 17, 321-333, 1965.
78. Lorenz, E. N.: Atmospheric predictability as revealed by naturally occurring analogues, J. Atmos. Sci., 26, 636-646, 1969a.
79. Lorenz, E. N.: The predictability of a flow which possesses many scales of motion, Tellus, 21, 289-307, 1969b.
80. Lu, S., Huang, H.-C., Hou, Y.-T., Tang, Y., McQueen, J., da Silva, A., Chin, M., Joseph, E., and Stockwell, W.: Development of NCEP Global Aerosol Forecasting System: an Overview and its Application for Improving Weather and Air Quality Forecasts, NATO Science for Peace and Security Series: Air Pollution Modeling and Its Application XX, available at: http://www.jcsda.noaa.gov/documents/meetings/wkshp2009/Session-3/3.11. Poster-Sarah. Lu.pdf (last access: 29 May 2014), 451-454, doi:10.1007/978-90-481-3812-8, 2010.
81. Lu, S., da Silva, A., Chin, M., Wang, J., Moorthi, S., Juang, H., Chuang, H.-Y., Tang, Y., Jones, L., Iredell, M., and McQueen, J.: The NEMS GFS Aerosol Component: NCEP's global aerosol forecast system, NCEP Office Note 472, available at: http://www.lib.ncep.noaa.gov/ncepofficenotes/files/on472.pdf (last access: 29 May 2014), Washington DC, 2013.
82. Mårtensson, E. M., Nilsson, E. D., de Leeuw, G., Cohen, L. H., and Hansson, H.-C.: Laboratory simulations and parameterization of the primary marine aerosol production, J. Geophys. Res., 108, 4297, doi:10.1029/2002JD002263, 2003.
83. Marticorena, B. and Bergametti, G.: Modeling the atmospheric dust cycle: 1. design of a soil-derived dust emission scheme, J. Geophys. Res., 100, 16415-16430, doi:10.1029/95JD00690, 1995.
84. Marticorena, B., Bergametti, G., Aumont, B., Callot, Y., N'Doumé, C., and Legrand, M.: Modeling the atmospheric dust cycle 2. simulation of Saharan dust sources, J. Geophys. Res., 102, 4387-4404, doi:10.1029/96JD02964, 1997.
85. Meehl, G. A., Covey, C., Delworth, T., Latif, M., McAvaney, B., Mitchel, J. F. B., Stouffer, R. J., and Taylor, K. E.: The WCRP CMIP3 multimodel dataset-A new era in climate change research, B. Am. Meteorol. Soc., 88, 1383-1394, 2007.
86. Meng, Z., Yang, P., Kattawar, G. W., Bi, L., Liou, K. N., and Laszlo, I.: Single-scattering properties of tri-axial ellipsoidal mineral dust aerosols: A database for application to radiative transfer calculations, J. Aerosol. Sci., 41, 501-512, 2010.
87. Merchant, C. J., Embury, O., Le Borgne, P., and Bellec, B.: Saharan dust in nightime thermal imagery: Detection and reduction of the related biases in retrieved sea surfacetemperature, Remote Sens. Environ., 104, 15-30, 2006.
88. Miller, T. P. and Casadevall, T. J.: Volcanic Ash Hazards to Aviation, in: Encyclopedia of Volcanoes, Sigurdsson, edited by: Sigurdsson, H., Academic Press, San Diego, California, USA, 915-930, 2000.
89. Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave, J. Geophys. Res., 102, 16663-16682, doi:10.1029/97JD00237, 1997.
90. Monahan, E. C., Spiel, D. E., and Davidson, K. L.: A Model of Marine Aerosol Generation Via Whitecaps and Wave Disruption, in: Oceanic Whitecaps, edited by: Monahan, E. C. and Niocaill, G., 167-174, Springer, the Netherlands, 1986.
91. Morcrette, J.-J., Beljaars, A., Benedetti, A., Jones, L., and Boucher, O.: Sea-salt and dust aerosols in the ECMWF IFS mode, Geophys. Res. Lett., 35, L24813, doi:10.1029/2008GL036041, 2008.
92. Morcrette, J.-J., Boucher, O., Jones, L., Salmond, D., Bechtold, P., Beljaars, A., Benedetti, A., Bonet, A., Kaiser, J. W., Razinger, M., Schulz, M., Serrar, S., Simmons, A. J., Sofiev, M., Suttie, M., Tompkins, A. M., and Untch, A.: Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: Forward modeling, J. Geophys. Res., 114, D06206, doi:10.1029/2008JD011235, 2009.
93. Mulcahy, J. P., Walters, D. N., Bellouin, N., and Milton, S. F.: Impacts of increasing the aerosol complexity in the Met Office global numerical weather prediction model, Atmos. Chem. Phys., 14, 4749-4778, doi:10.5194/acp-14-4749-2014, 2014.
94. Mundell, D. B. and Rupp, J. A.: Hybrid forecast aids at the Joint Typhoon Warning Center: Applications and results, Preprints, 21st Conf. on Hurricanes and Tropical Meteorology, Miami, FL, Amer. Meteor. Soc., 216-218, 1995.
95. Nair, V. S., Moorthy, K. K., Alappattu, D. P., Kunhikrishnan, P. K., George, S., Nair, P. R., Babu, S. S., Abish, B., Satheesh, S. K., Tripathi, S. N., Niranjan, K., Madhavan, B. L., Srikant, V., Dutt, C. B. S., Badarinath, K. V. S., and Reddy, R. R.: Wintertime aerosol characteristics over the Indo-Gangetic Plain (IGP): Impacts of local boundary layer processes and long-range transport, J. Geophys. Res.-Atmos., 112, D13205, doi:10.1029/2006jd008099, 2007.
96. Nickovic, S., Kallos, G., Papadopoulos, A., and Kakaliagou, O.: A model for prediction of desert dust cycle in the atmosphere, J. Geophys. Res., 106, 18113-18130, doi:10.1029/2000JD900794, 2001.
97. Nyeki, S., Halios, C. H., Baum, W., Eleftheriadis, K., Flentje, H., Gröbner, J., Vuilleumier, L., and Wehrli, C.: Ground-based aerosol optical depth trends at three high-altitude sites in Switzerland and southern Germany from 1995 to 2010, J. Geophys. Res., 117, D18202, doi:10.1029/2012JD017493, 2012.
98. O'Neill, N. T., Eck, T. F., Smirnov, A., Holben, B. N., and Thulasiraman, S.: Spectral discrimination of coarse and fine mode optical depth, J. Geophys. Res., 108, D05212, doi:10.1029/2002JD002975, 2003.
99. O'Neill, N. T., Eck, T. F., Reid, J. S., Smirnov, A., and Pancrati, O.: Coarse mode optical information retrievable using ultraviolet to short-wave infrared Sun photometry: Application to United Arab Emirates Unified Aerosol Experiment data, J. Geophys. Res., 113, D05212, doi:10.1029/2007JD009052, 2008.
100. Park, R., Jacob, D., Chin, M., and Martin, R.: Sources of carbonaceous aerosols over the United States and implications for natural visibility, J. Geophys. Res.-Atmos., 108, 4355, doi:10.1029/2002JD003190, 2003.
101. Parrish, D. F. and Derber, J. C.: The National Meteorological Center's spectral statistical-interpolation analysis system, Mon. Weather Rev., 120, 1747-1763, 1992.
102. Pawson, S., Stolarski, R. S., Douglass, A. R., Newman, P. A., Nielsen, J. E., Frith, S. M., and Gupta, M. L.: Goddard Earth Observing System chemistry-climate model simulations of stratospheric ozone-temperature coupling between 1950 and 2005, J. Geophys. Res.-Atmos., 113, D12103, doi:10.1029/2007JD009511, 2008.
103. Pérez, C., Nickovic, S., Pejanovic, G., Baldasano, J. M., and Özsoy, E.: Interactive dust-radiation modeling: A step to improve weather forecasts, J. Geophys. Res., 111, D16206, doi:10.1029/2005JD006717, 2006.
104. Pérez, C., Haustein, K., Janjic, Z., Jorba, O., Huneeus, N., Baldasano, J. M., Black, T., Basart, S., Nickovic, S., Miller, R. L., Perlwitz, J. P., Schulz, M., and Thomson, M.: Atmospheric dust modeling from meso to global scales with the online NMMB/BSC-Dust model - Part 1: Model description, annual simulations and evaluation, Atmos. Chem. Phys., 11, 13001-13027, doi:10.5194/acp-11-13001-2011, 2011.
105. Pöschl, U.: Atmospheric aerosols: Composition, transformation, climate and health effects, Angew. Chem. Int. Edit., 44, 7520-7540, 2005.
106. Rajeev, K., Parameswaran, K., Nair, S. K., and Meenu, S.: Observational evidence for the radiative impact of Indonesian smoke in modulating the sea surface temperature of the equatorial Indian Ocean, J. Geophys. Res., 113, D17201, doi:10.1029/2007JD009611, 2008.
107. Reale, O., Lau, K. M., and da Silva, A. M.: Impact of interactive aerosol on the African Easterly Jet in the NASA GEOS- 5 global forecasting system, Weather Forecast., 26, 504-519. doi:10.1175/WAF-D-10-05025.1, 2011.
108. Reale, O., Lau, K. M., da Silva, A., and Matsui, T.: Impact of assimilated and interactive aerosol on tropical cyclogenesis, Geophys. Res. Lett., 41, 3282-3288, doi:10.1002/2014GL059918, 2014.
109. Reddy, M. S., Boucher, O., Bellouin, N., Schulz, M., Balkanski, Y., Dufresne J.-L., and Pham, M.: Estimates of global multi-component aerosol optical depth and direct radiative perturbation in the Laboratoire de Météorologie Dynamique general circulation model, J. Geophys. Res., 110, D10S16, doi:10.1029/2004JD004757, 2005.
110. Reichler, T. and Kim, J.: How well do coupled models simulate today's climate?, B. Am. Meteorol. Soc., 89, 303-311, doi:10.1175/BAMS-89-3-303, 2008.
111. Reid, J. S., Hyer, E. J., Prins, E. M., Westphal, D. L., Zhang, J., Wang, J., Christopher, S. A., Curtis, C. A., Schmidt, C. C., Eleuterio, D. P., Richardson, K. A., and Hoffman, J. P.: Global monitoring and forecasting of biomass-burning smoke: Description and lessons from the Fire Locating and Modeling of Burning Emissions (FLAMBE) program, IEEE J. Sel. Top. Appl., 2, 144-162, 2009.
112. Reid, J. S., Benedetti, A., Colarco, P. R., and Hansen J. A: International operational aerosol observability workshop, Bull. Amer. Meteorol. Soc., 92, ES21-ES24, doi:10.1175/2010BAMS3183.1, 2011.
113. Reid, J. S., Holben, B., and Lin, L.: Aerosol and Climate Studies in the Maritime Continent: First assessments from the 7 Southeast Asian Studies (7SEAS) effort, Atmos. Res., 122, 401-402, 2013a.
114. Reid, J. S., Hyer, E. J., Johnson, R. S., Holben, B. N., Yokelson, R. J., Zhang, J., Campbell, J. R., Christopher, S. A., Di Girolamo, L., Giglio, L., Holz, R. E., Kearney, C., Miettinen, J., Reid, E. A., Turk, F. J., Wang, J., and Xian, P.: Observing and Understanding the Southeast Asian Aerosol System by Remote Sensing: An Initial Review and Analysis for the Seven Southeast Asian Studies (7SEAS) Program, Atmos. Res., 122, 403-468, doi:10.1016/j.atmosres.2012.06.005, 2013b.
115. Reynolds, R.W. and Smith, T. M.: Improved global sea surface temperature analyses, J. Climate, 7, 929-948, 1994.
116. Rienecker, M. M., Suarez, M. J., Todling, R., Bacmeister, J., Takacs, L., Liu, H.-C., Gu, W., Sienkiewicz, M., Koster, R. D., Gelaro, R., Stajner, I., and Nielsen, E.: The GEOS-5 data assimilation system - Documentation of versions 5.0.1, 5.1.0, and 5.2.0., edited by: Suarez, M. J., NASA Tech. Memo. 2007-104606, Vol. 27, available at: http://gmao.gsfc.nasa.gov/pubs/docs/Rienecker369.pdf (last access: October 2014), 2008.
117. Sampson, C. R., Franklin, J. L., Knaff, J. A., and DeMaria, M.: Experiments with a Simple Tropical Cyclone Intensity Consensus, Weather Forecast., 23, 304-312, 2008.
118. Sanders, F.: Skill in forecasting daily temperature and precipitation: Some experimental results, B. Am. Meteorol. Soc., 54, 1171-1178, 1973.
119. Sansom, P. G., Stephenson, D. B., Ferro, C. A., Zappa, G., and Shaffrey, L.: Simple uncertainty frameworks fo rslecting weighting schemes and interpreting multi-model ensemble climate change experiments, J. Climate, 26, 4017-4037, 2013.
120. Schmid, B., Michalsky, J., Halthore, R., Beauharnois, M., Harrison, L., Livingston, J., Russell, P., Holben, B. N., Eck, T. F., and Smirnov, A.: Comparison of aerosol optical depth from four solar radiometers during the fall 1997 ARM intensive observation period, Geophys. Res. Lett., 26, 2725-2728, 1999.
121. Schulz, M., de Leeuw, G., and Balkanski, Y.: Sea-salt aerosol source functions and emissions, in: Emission of Atmospheric Trace Compounds, edited by: Granier, C., Artaxo, P., and Reeves, C. E., Kluwer Acad., Norwell, Mass., 333-354, 2004.
122. Seaton A., MacNee W., Donaldson K., and Godden D.: Particulate air pollution and acute health effects, Lancet, 345, 176-178, doi:10.1016/S0140-6736(95)90173-6, 1995.
123. Shi, Y., Zhang, J., Reid, J. S., Holben, B., Hyer, E. J., and Curtis, C.: An analysis of the collection 5 MODIS over-ocean aerosol opti cal depth product for its implication in aerosol assimilation, Atmos. Chem. Phys., 11, 557-565, doi:10.5194/acp-11-557-2011, 2011.
124. Smirnov, A., Holben, B. N., Eck, T. F., Dubovik, O., and Slutsker, I.: Cloud screening and quality control algorithms for the AERONET data base, Remote Sens. Environ., 73, 337-349, 2000.
125. Smith, M. H., Park, P. M., and Consterdine, I. E.: Marine aerosol concentrations and estimated fluxes over the sea, Q. J. Roy. Meteor. Soc., 119, 809-824, 1993.
126. Smith, M. H. and Harrison, N. M.: The sea spray generation function, J. Aerosol Sci., 29, S189-S190, 1998.
127. Spada, M., Jorba, O., Pérez García-Pando, C., Janjic, Z., and Baldasano, J. M.: Modeling and evaluation of the global sea-salt aerosol distribution: sensitivity to size-resolved and sea-surface temperature dependent emission schemes, Atmos. Chem. Phys., 13, 11735-11755, doi:10.5194/acp-13-11735-2013, 2013.
128. Streets, D. G., Yan, F., Chin, M., Diehl, T., Mahowald, N., Schultz, M., Wild, M., Wu, Y., and Yu, C.: Anthropogenic and natural contributions to regional trends in aerosol optical depth, 1980-2006, J. Geophys. Res.-Atmos., 114, D00D18, doi:10.1029/2008JD011624, 2009.
129. Talagrand, O., Vautard, R., and Strauss, B.: Evaluation of probabilistic prediction systems, Proceedings, ECMWF Workshop on Predictability, ECMWF, 1-25, 1997.
130. Tanaka, T. Y. and Chiba, M.: Global simulation of dust aerosol with a chemical transport model, MASINGAR, J. Meteorol. Soc. Jpn., 83, 255-278, 2005.
131. Tanaka, T. Y., Orito, K., Sekiyama, T. T., Shibata, K., Chiba, M., and Tanaka, H.: MASINGAR, a global tropospheric aerosol chemical transport model coupled with MRI/JMA98 GCM: Model description, Pap. Meteorol. Geophys., 53, 119-138, 2003.
132. Tegen, I. and Lacis, A. A.: Modeling of particle size distribution and its influence on the radiative properties of mineral dust aerosol, J. Geophys. Res.-Atmos., 101, 19237-19244, 1996.
133. Thampi, B. V., Rajeev, K., Parameswaran, K., and Mishra, M. K.: Spatial distribution of the Southeast Asian smoke plume over the Indian Ocean and its radiative heating in the atmosphere during the major fire event of 2006, Geophys. Res. Lett., 36, L16808, doi:10.1029/2009GL039316, 2009.
134. Tompkins, A. M.: A revised cloud scheme to reduce the sensitivity to vertical resolution, Tech. Memo. 0599, 25 pp., Res. Dep., Eur. Cent. for Medium-Range Weather Forecasts, Reading, UK, 2005.
135. Wang, H. and Niu, T.: Sensitivity studies of aerosol data assimilation and direct radiative feedbacks in modeling dust aerosols, Atmos. Environ., 64, 208-218, 2013.
136. Wang, H., Zhang, X., Gong, S., Chen, Y., Shi, G., and Li, W.: Radiative feedback of dust aerosols on the East Asian dust storms, J. Geophys. Res., 115, D23214, doi:10.1029/2009JD013430, 2010.
137. Weaver, C., da Silva, A., Chin, M., Ginoux, P., Dubovik, O., Flittner, D., Zia, A., Remer, L., Holben, B., and Gregg, W.: Direct insertion of MODIS radiances in a global aerosol transport model, J. Atmos. Sci., 64, 808-827, 2007.
138. Weigel, A. P., Knutti, R., Liniger, M. A., and Appenzeller, C.: Risks of model weighting in multimodel climate projections, J. Climate, 23, 4175-4192, 2010.
139. Westphal, D. L. and Toon, O. N.: Simulations of the microphysical, radiative, and dynamic processes in a continental-scale forest-fire smoke plume, J. Geophys. Res., 96, 22379-22400, 1991.
140. Westphal, D. L., Curtis, C. A., Liu, M., and Walker, A. L.: Operational aerosol and dust storm forecasting, WMO/GEO expert meeting on an international sand and dust storm warning system, IOP C. Ser. Earth Env., 7, 012007, doi:10.1088/1755-1307/7/1/012007, 2009.
141. White, B. R.: Soil transport by winds on Mars, J. Geophys. Res., 84, 4643-4651, doi:10.1029/JB084iB09p04643, 1979.
142. Witek, M. L., Flatau, P. J., Quinn, P. K., and Westphal, D. L.: Global sea-salt modeling: Results and validation against multicampaign shipboard measurements, J. Geophys. Res., 112, D08215, doi:10.1029/2006JD007779, 2007.
143. Woodward, S.: Modeling the atmospheric life cycle and radiative impact of mineral dust in the Hadley Centre climate model, J. Geophys. Res., 106, 18155-18166, doi:10.1029/2000JD900795, 2001.
144. Woodward, S.: Mineral dust in HadGEM2. Technical Report 87, Met Office Hadley Centre for Climate Change, Exeter, UK, available at: http://sds-was.aemet.es/forecast-products/dust-forecasts/Woodward-2011-HadGEM2.pdf (last access: 29 May 2014), 2011.
145. Xian, P., Reid, J. S., Turk, J. F., Hyer, E. J., and Westphal, D. L.: Impact of modeled versus satellite measured tropical precipitation on regional smoke optical thickness in an aerosol transport model, Geophys. Res. Lett., 36, L16805, doi:10.1029/2009GL038823, 2009.
146. Yukimoto, S., Adachi, Y., Hosaka, M., Sakami, T., Yoshimura, H., Hirabara, M., Tanaka, T. Y., Shindo, E., Tsujino, H., Deushi, M., Mizuta, R., Yabu, S., Obata, A., Nakano, H., Koshiro, T., Ose, T., and Kitoh, A.: A New Global Climate Model of the Meteorological Research Institute: MRI-CGCM3 - Model Description and Basic Performance, J. Meteorol. Soc. Jpn., 90, 23-64, doi:10.2151/jmsj.2012-A02, 2012.
147. Zhang, J. and Reid, J. S.: MODIS aerosol product analysis for data assimilation: assessment of over-ocean level 2 aerosol optical thickness retrievals, J. Geophys. Res., 111, D22207, doi:10.1029/2005JD006898, 2006.
148. Zhang, J., Reid, J. S., Westphal, D. L., Baker, N. L., and Hyer, E. J.: A system for operational aerosol optical depth data assimilation over global oceans, J. Geophys. Res., 113, D10208, doi:10.1029/2007JD009065, 2008.