GMD Geoscientific Model Development GMD Geosci. Model Dev. 1991-9603 Copernicus Publications Göttingen, Germany 10.5194/gmd-5-581-2012 Importance of the surface size distribution of erodible material: an improvement on the Dust Entrainment And Deposition (DEAD) Model Mokhtari M. 1 2 Gomes L. 1 Tulet P. 1 3 Rezoug T. 4 CNRM/GAME, URA 1357, Météo-France, 42 av G. Coriolis, 31057 Toulouse, France Office National de la Météorologie (ONM), Algeria LACy, UMR 8105, Université de La Réunion 15 avenue René Cassin, 97715 Saint-Denis, France Laboratoire des Sciences Aéronautiques (Blida), Algeria 03 05 2012 5 3 581 598 Copyright: © 2012 M. Mokhtari et al. 2012 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://gmd.copernicus.org/articles/5/581/2012/gmd-5-581-2012.html The full text article is available as a PDF file from https://gmd.copernicus.org/articles/5/581/2012/gmd-5-581-2012.pdf

This paper is based on dust aerosol cycle modelling in the atmospheric model ALADIN (Aire Limitée Adaptation dynamique Développement InterNational) coupled with the EXternalised SURFace scheme SURFEX. Its main goal is to create an appropriate mineral dust emission parameterization compatible with the global database of land surface parameters ECOCLIMAP, and the Food and Agriculture Organization (FAO) soil type database in SURFEX. An improvement on the Dust Entrainment And Deposition scheme (DEAD) is proposed in this paper by introducing the geographical variation of surface soil size distribution, the Marticorena and Bergametti (1995) formulation of horizontal saltation flux and the Shao et al. (1996) formulation of sandblasting efficiency <i>&alpha;</i>. To show the importance of the modifications introduced in the DEAD, both sensitivity and comparative studies are conducted in 0 dimensions (0-D) and then in 3 dimensions (3-D) between the old DEAD and the new DEAD. The results of the 0-D simulations indicate that the revised DEAD scheme represents the dust source emission better, particularly in the Bodélé depression, and provides a reasonable friction threshold velocity. In 3-D simulations, small differences are found between the DEAD and the revised DEAD for the simulated Aerosol Optical Depth (AOD) compared with the AErosol RObotic NETwork (AERONET) photometer measurements available in the African Monsoon Multidisciplinary Analyses (AMMA) databases. For the surface concentration, a remarkable improvement is noted for the revised DEAD scheme.

 References Alfaro, S. C. and Gomes, L.: Modeling mineral aerosol production by wind erosion: Emission intensities and aerosol distributions in source areas, J. Geophys. Res, 106, 18075–18084, 2001. Berthet, S., M. Leriche, M., Pinty, J.-P., Cuesta, J., and Pigeon G.: Scavenging of aerosol particles by rain in a cloud resolving model, Atmos. Res., 96, 325–336, 2010. Brooks, N. P. J. and Legrand, M.: Dust variability over northern Africa and rainfall in the Sahel, in Linking climate change to landsurface change, edited by: McLaren, S. J. and Kniveton, D., Chapter 1, Kluwer Academic Publishers, 1–25, 2000. Bubnová, R., Hello, G., Bénard, P., and Geleyn, J. F.: Integration of the fully elastic equations cast in the hydrostatic pressure terrain following coordinates in the framework of the ALADIN NWP system, Mon. Wea. Rev., 123, 515–535, 1995. Buckley, R. L.: Spatial Variation of Soil Type and Soil Moisture in the Regional Atmospheric Modeling System (U),WSRC-TR 2001-00119, March 2001. Callot, Y., Marticorena, B., and Bergametti, G.: Geomorphologic approach for modelling the surface features of arid environments in a model of dust emission: application to the Sahara desert, Geodinamica Acta, 13, 245–270, 2000. Chatenet, B., Marticorena, B., Gomes, L., and Bergametti, G.: Assessing the size distribution of desert soils erodible by wind, Sedimentol., 43, 901–911, 1996. Crumeyrolle, S., Tulet, P., Gomes, L., Garcia-Carreras, L., Flamant, C., Parker, D. J., Matsuki, A., Formenti, P., and Schwarzenboeck, A.: Transport of dust particles from the Bodélé region to the monsoon layer – AMMA case study of the 9–14 June 2006 period, Atmos. Chem. Phys., 11, 479–494, <a href="http://dx.doi.org/10.5194/acp-11-479-2011">https://doi.org/10.5194/acp-11-479-2011</a>, 2011. 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, <a href="http://dx.doi.org/10.1007/s00585-999-0149-7">https://doi.org/10.1007/s00585-999-0149-7</a>, 1999. Geleyn, J. F.: Adaptation of spectral methods to non-uniform mapping (global and local), ECMWF Seminar Proceedings on "Recent developments in numerical methods for atmospheric modeling", 7–11 September 1998, 226–265, 1998. Gibelin, A. L.: Externalisation du schéma de surface Isba du modèle de circulation générale Arpège-Climat, Note de Centre du GMGEC no.&nbsp;88, 2004. Gillette, D. A.: Environmental factors affecting dust emission by wind erosion in Saharan dust, edited by C. Morals, 71–94, John Wiley, New York, 1979, Grini, A. and Zender, C.: Roles of saltation, sandblasting, and wind speed variability on mineral dust aerosol size distribution during the Puerto Rican Dust Experiment (PRIDE), J. Geophys. Res., 109, D07, 202, <a href="http://dx.doi.org/10.1029/2003JD004233">https://doi.org/10.1029/2003JD004233</a>, 2004. Grini, A., Tulet, P., and Gomes, L.: Dusty weather forecasts using the MesoNH mesoscale atmospheric model, J. Geophys. Res., 111, D19205, <a href="http://dx.doi.org/10.1029/2005JD007007">https://doi.org/10.1029/2005JD007007</a>, 2006. Horányi, A., Ihàsz, I., and Radnoti, G.: ARPEGE/ALADIN: A numerical weather prediction model for Central Europe with the participation of the Hungarian Meteorological Service, idöjàràs, 100, 277–301, 1996. Huth, R., Mlàdek, R., Metelka, L., Sedlàk, P., Huthová, Z., Kliegrová, S., Kysely, J., Pokorná, L., Halenka, T., and Janousek, M.: On the integrability of limited-area numerical weather prediction model ALADIN over extended time periods, Stud. Geophys. Geod., 47, 863–873, 2003. Kocha, C., Lafore, J.-P., Tulet, P., and Seity, Y.: High-resolution simulation of a major West African dust-storm: comparison with observations and investigation of dust impact, Q. J. Roy. Meteorol. Soc., https://doi.org/101002/qj.927,2011. Kok, J. F.: A scaling theory for the size distribution of emitted dust aerosols suggests climate models underestimate the size of the global dust cycle, Proc. Natl. Acad. Sci. U. S. A., 108, 1016–1021, <a href="http://dx.doi.org/10.1073/pnas.1014798108">https://doi.org/10.1073/pnas.1014798108</a>, 2011. Kok, J. F.: Does the size distribution of mineral dust aerosols depend on the wind speed at emission?, Atmos. Chem. Phys., 11, 10149–10156, <a href="http://dx.doi.org/10.5194/acp-11-10149-2011">https://doi.org/10.5194/acp-11-10149-2011</a>, 2011. Laurent, B., Marticorena, B., Bergametti, G., Léon, J. F., and Mahowald, N. M.: Modeling mineral dust emission from the Sahara desert using new surface properties and soil database, J. Geophys. Res., 113, D14218, <a href="http://dx.doi.org/10.1029/2007JD009484">https://doi.org/10.1029/2007JD009484</a>, 2008. Lopez, P.: Implementation and validation of a new prognostic large-scale cloud and precipitation scheme for climate and data-assimilation purposes, Q. J. R. Meteorol. Soc., 128, 229–257, 2002. Mahowald, N., Kohfeld, K., Hansson, M., Balkanski, Y., Harrison, S. P., Printice, I. C., Schulz, M., and Rodhe, H.: Dust sources and deposition during the last glacial maximum and current climate: A comparison of model results with paleodata from ice cores and marine sediments, J. Geophys. Res., 104, 15895–15916, 1999. Mallet, M., Tulet, P., Serça, D., Solmon, F., Dubovik, O., Pelon, J., Pont, V., and Thouron, O.: Impact of dust aerosols on the radiative budget, surface heat fluxes, heating rate profiles and convective activity over West Africa during March 2006, Atmos. Chem. Phys., 9, 7143–7160, <a href="http://dx.doi.org/10.5194/acp-9-7143-2009">https://doi.org/10.5194/acp-9-7143-2009</a>, 2009. Marticorena, B. and Bergametti, G.: Modeling the atmospheric dust cycle: 1. Design of a soil-derived dust emission scheme, J. Geophys. Res., 100, 16, 415–430, <a href="http://dx.doi.org/10.1029/95JD00690">https://doi.org/10.1029/95JD00690</a>, 1995. Marticorena, B., Bergametti, G., Aumont, B., Callot, Y., N'Doume, C., and Legrand, M.: Modeling the atmospheric dust cycle: 2. Simulation of the Saharan dust sources, J. Geophys. Res., 102, 4387–4404, 1997a. Marticorena, B., Bergametti, G., Gillette, D. A., and Belnap, J.: Factors controlling threshold friction velocity in semiarid and arid areas of the United States, J. Geophys. Res., 102, 23, 277–287, <a href="http://dx.doi.org/10.1029/97JD01303">https://doi.org/10.1029/97JD01303</a>, 1997b. Marticorena, B., Chatenet, B., Rajot, J. L., Traoré, S., Coulibaly, M., Diallo, A., Koné, I., Maman, A., NDiaye, T., and Zakou, A.: Temporal variability of mineral dust concentrations over West Africa: analyses of a pluriannual monitoring from the AMMA Sahelian Dust Transect, Atmos. Chem. Phys., 10, 8899–8915, <a href="http://dx.doi.org/10.5194/acp-10-8899-2010">https://doi.org/10.5194/acp-10-8899-2010</a>, 2010. Martin, J. H.: Glacial-interglacial CO<sub>2</sub> change: The iron hypothesis, Paleoceanography, 5, 1–13, 1990. Masson, V.: A physically-based scheme for the urban energy balance in atmospheric models, Bound.-Lay. Meteorol., 94, 357–397, 3.1, 2000. Masson, V., Champeaux, J., Chauvin, F., Meriguet, C., and Lacaze, R.: A global database of land surface parameters at 1-km resolution in meteorological and climate models, J. Climate, 16, 1261–1282, 3.2, 2003. Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A.: RRTM, a validated correlated-k model for the longwave, J. Geophys. Res., 102, 16663–16682, 1997. Morcrette, J. and Fouquart, Y.: The overlapping of cloud layers in shortwave radiation parameterizations, J. Atmos. Sci., 43, 321–328, 3.1, 1986. Nicholson, S. E., Tucker, C. J., and Ba, M. B.: Desertification, drought, and surface vegetation: An example from the West African Sahel, B. Am. Meteorol. Soc., 79, 815–829, 1998. Nickovic, S. and Dobricic, S.: A model for long-rang transport of desert dust, Mon. Wea. Rev., 124, 2537–2544, 1996. Nickovic, S., Kallos, G., Papadopoulos, A., and Kakaliagou, O.: Model for prediction of desert dust cycle in the atmosphere, J. Geophys. Res., 106, D16, 18113–18129, 27&nbsp;August&nbsp;2001. Noilhan, J. and Planton, S.: A simple parameterization of land surface processes for meteorological models, Mon. Wea. Rev., 117, 536–549, 1989. Noilhan, J. and Mahfouf, J. F.: The ISBA land surface parameterization scheme, Glob. Plan. Change, 13, 145–159, 3.1, 1996. Perlwitz, J., Tegen, I., and Miller, R. L.: Interactive soil dust aerosol model in the GISS GCM: 1. Sensitivity of the soil dust cycle to radiative properties of soil dust aerosols, J. Geophys. Res., 106, 18167–18192, 2001. Prospero, J. M.: Long-term measurements of the transport of African mineral dust to the south-eastern United States: Implications for regional air quality, J. Geophys. Res., 104, 15917–15928, 1999. Prospero, J. M., Ginoux, P., Torres, O., Nicholson, S. E., and Gill, T. E.: Environmental characterization of global sources of atmospheric soil dust identified with the Nimbus 7 Total Ozone Mapping Spectrometer (TOMS) absorbing aerosol product, Rev. Geophys., 40, 1, 1–31, 2002. Radnóti, G.: Comments on "A spectral limited-area formulation with time-dependent boundary conditions applied to the shallow water equations", Mon. Wea. Rev., 123, 3122–3123, 1995. Shannon, S. and Lunt, D. J.: A new dust cycle model with dynamic vegetation: LPJ-dust version 1.0, Geosci. Model Dev., 4, 85–105, <a href="http://dx.doi.org/10.5194/gmd-4-85-2011">https://doi.org/10.5194/gmd-4-85-2011</a>, 2011. Shao, Y.: A model for mineral dust emission, J. Geophys. Res., 106, 20239–20254, 2001. Shao, Y. and Leslie, M.: Wind erosion prediction over the Australian continent, J. Geophys. Res., 102, 30091–30105, 1997. Shao, Y., Raupach, M. R., and Leys, J. F.: A model for predicting aeolian sand drift and dust entrainment on scales from paddock to region, Aust. J. Soil Res., 34, 309–342, 1996. Shinn, E. A, Smith, G., Prospero, J., Betzer, P., Hayes, M., Garrison, V., and Barber R.: African dust and the demise of Caribbean coral reefs, Geophys. Res. Lett., 27, 3029–3032, 2000. Slingo, A., Ackerman, T. P., Allan, R. P., Kassianov, E. I., McFarlane, S. A., Robinson, G. J., Barnard, J. C., Miller, M. A., Harries, J. E., Russell, J. E., and Dewitte, S.: Observations of the impact of a major Saharan dust storm on the atmospheric radiation balance, Geophys. Res. Lett., 33, L24817, <a href="http://dx.doi.org/10.1029/2006GL027869">https://doi.org/10.1029/2006GL027869</a>, 2006. Swap, R., Garstang, M., Greco, S., Talbot, R., and Kallberg, P.: Saharan dust in the Amazon Basin, Tellus, Ser. B, 44, 133–149, 1992. Tegen, I. and Fung, I.: Modeling of mineral dust in the atmosphere: Sources, Transport, and optical thickness, J. Geophys. Res., 99, 22897–22914, 1994. Tegen, I., Lacis, A. A., and Fung, I.: The influence on climate forcing of mineral aerosols from disturbed soils, Nature, 380, 419–422, 1996. Tegen, I., Harrison, S. P., Kohfeld, K., Prentice, I. C., Coe, M., and Heimann, M.: Impact of vegetation and preferential source areas on global dust aerosol: Results from a model study, J. Geophys. Res., 107, 4576, <a href="http://dx.doi.org/10.1029/2001JD000963">https://doi.org/10.1029/2001JD000963</a>, 2002. Tulet, P., Crassier, V., Cousin, F., Suhre, K., and Rosset, R.: ORILAM, a three-moment lognormal aerosol scheme for mesoscale atmospheric model: Online coupling into the Meso-NH-C model and validation on the Escompte campaign, J. Geophys. Res., 110, D18201, <a href="http://dx.doi.org/10.1029/2004JD005716">https://doi.org/10.1029/2004JD005716</a>, 2005. Tulet, P., Mallet, M., Pont, V., Pelon, J., and Boon, A.: The 7–13 March 2006 dust storm over West Africa: Generation, transport, and vertical stratification, J. Geophys. Res, 113, D00C08, <a href="http://dx.doi.org/10.1029/2008JD009871">https://doi.org/10.1029/2008JD009871</a>, 2008. Tulet, P., Crahan-Kaku, K., Leriche, M., Aouizerats, B., and Crumeyrolle, S.: Mixing of dust aerosols into a mesoscale convective system Generation, filtering and possible feedbacks on ice anvils, Atmos. Res., 96, 302–314, 2010. United States Department of Agriculture&nbsp;(USDA), Natural Resources Conservation Service (NRCS), Soil Taxonomy : A Basic System of Soil Classification for Making and Interpreting Soil Surveys Agr. Handb. 436. U.S. Govt. Print.Office, Washington DC, 20402, 870 pp., second edn., 1999. Váòa, F.: Physical parameterizations in the ALADIN model, Meteorol. zpr., 51, 33–44, 1998. Zakey, A. S., Solmon, F., and Giorgi, F.: Implementation and testing of a desert dust module in a regional climate model, Atmos. Chem. Phys., 6, 4687–4704, <a href="http://dx.doi.org/10.5194/acp-6-4687-2006">https://doi.org/10.5194/acp-6-4687-2006</a>, 2006. Zender, C. S., Bian, H., and Newman, D.: Mineral Dust Entrainment and deposition (DEAD) model: Description and 1990s dust climatology, J. Geophys. Res., 108, D14, 4416, <a href="http://dx.doi.org/10.1029/2002JD002775">https://doi.org/10.1029/2002JD002775</a>, 2003. Zobler, L.: A World soil file for global climate modelling, Tech. Rep. NASA-TM-87802, 32 pp., 1986.