EARLINET dust observations vs. BSC-DREAM8b modeled profiles: 12-year-long systematic comparison at Potenza, Italy

Abstract. In this paper, we report the first systematic comparison of 12-year modeled dust extinction profiles vs. Raman lidar measurements. We use the BSC-DREAM8b model, one of the most widely used dust regional models in the Mediterranean, and Potenza EARLINET lidar profiles for Saharan dust cases, the largest one-site database of dust extinction profiles. A total of 310 dust cases were compared for the May 2000–July 2012 period. The model reconstructs the measured layers well: profiles are correlated within 5% of significance for 60% of the cases and the dust layer center of mass as measured by lidar and modeled by BSC-DREAM8b differ on average 0.3 ± 1.0 km. Events with a dust optical depth lower than 0.1 account for 70% of uncorrelated profiles. Although there is good agreement in terms of profile shape and the order of magnitude of extinction values, the model overestimates the occurrence of dust layer top above 10 km. Comparison with extinction profiles measured by the Raman lidar shows that BSC-DREAM8b typically underestimates the dust extinction coefficient, in particular below 3 km. Lowest model–observation differences (below 17%) correspond to a lidar ratio at 532 nm and Angstrom exponent at 355/532 nm of 60 ± 13 and 0.1 ± 0.6 sr, respectively. These are in agreement with values typically observed and modeled for pure desert dust. However, the highest differences (higher than 85%) are typically related to greater Angstrom values (0.5 ± 0.6), denoting smaller particles. All these aspects indicate that the level of agreement decreases with an increase in mixing/modification processes.

[1]  F. Giorgi,et al.  A particle dry-deposition parameterization scheme for use in tracer transport models , 1986 .

[2]  G. d’Almeida,et al.  Desert Aerosol: Characteristics and Effects on Climate , 1989 .

[3]  Yaping Shao,et al.  Effect of Saltation Bombardment on the Entrainment of Dust by Wind , 1993 .

[4]  Z. Janjic.  The Step-Mountain Eta Coordinate Model: Further Developments of the Convection, Viscous Sublayer, and Turbulence Closure Schemes , 1994 .

[5]  Andrew A. Lacis,et al.  Modeling of particle size distribution and its influence on the radiative properties of mineral dust aerosol , 1996 .

[6]  H. Pan,et al.  Nonlocal Boundary Layer Vertical Diffusion in a Medium-Range Forecast Model , 1996 .

[7]  A. Stohl.  Computation, accuracy and applications of trajectories—A review and bibliography , 1998 .

[8]  R. Ferrare,et al.  Raman lidar measurements of aerosol extinction and backscattering 2. Derivation of aerosol real refractive index, single-scattering albedo, and humidification factor using Raman lidar , 1998 .

[9]  G. Bergametti,et al.  Parametrization of the increase of the aeolian erosion threshold wind friction velocity due to soil moisture for arid and semi-arid areas , 1999 .

[10]  D. Thomson,et al.  A Density Correction for Lagrangian Particle Dispersion Models , 1999 .

[11]  L. Brasseur,et al.  Raman lidar measurements of the aerosol extinction‐to‐backscatter ratio over the Southern Great Plains , 2001 .

[12]  G. Kallos,et al.  A model for prediction of desert dust cycle in the atmosphere , 2001 .

[13]  Andrew A. Lacis,et al.  Scattering, Absorption, and Emission of Light by Small Particles , 2002 .

[14]  Ho-Jang Kwon,et al.  Effects of the Asian dust events on daily mortality in Seoul, Korea. , 2002, Environmental research.

[15]  J. Bösenberg,et al.  EARLINET: A European Aerosol Research Lidar Network to Establish an Aerosol Climatology , 2003 .

[16]  Albert Ansmann,et al.  Indo‐Asian pollution during INDOEX: Microphysical particle properties and single‐scattering albedo inferred from multiwavelength lidar observations , 2003 .

[17]  V. Freudenthaler,et al.  Long-range transport of Saharan dust to northern Europe : The 11-16 October 2001 outbreak observed with EARLINET , 2003 .

[18]  Meningococcal Meningitis Vaccination: More Information Needed , 2003 .

[19]  A. Ansmann,et al.  Closure study on optical and microphysical properties of a mixed urban and Arctic haze air mass observed with Raman lidar and Sun photometer , 2004 .

[20]  C. Zerefos,et al.  Optical properties of Saharan dust layers as detected by a Raman lidar at Thessaloniki, Greece , 2004 .

[21]  Alexandros Papayannis,et al.  Vertical aerosol distribution over Europe: Statistical analysis of Raman lidar data from 10 European Aerosol Research Lidar Network (EARLINET) stations , 2004 .

[22]  N. Mahowald,et al.  Global Iron Connections Between Desert Dust, Ocean Biogeochemistry, and Climate , 2005, Science.

[23]  C. Böckmann,et al.  Microphysical aerosol parameters from multiwavelength lidar. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.

[24]  J. Baldasano,et al.  Interactive dust‐radiation modeling: A step to improve weather forecasts , 2006 .

[25]  V. Cachorro,et al.  A long Saharan dust event over the western Mediterranean: Lidar, Sun photometer observations, and regional dust modeling , 2006 .

[26]  L. Mona,et al.  Saharan dust intrusions in the Mediterranean area: Three years of Raman lidar measurements , 2006 .

[27]  G. Kallos,et al.  Transatlantic Saharan dust transport : Model simulation and results , 2006 .

[28]  D. Griffin,et al.  Atmospheric Movement of Microorganisms in Clouds of Desert Dust and Implications for Human Health , 2007, Clinical Microbiology Reviews.

[29]  G. Gobbi,et al.  Estimating the impact of Saharan dust on the year 2001 PM10 record of Rome, Italy , 2007 .

[30]  Zhaoyan Liu,et al.  Asian dust outflow in the PBL and free atmosphere retrieved by NASA CALIPSO and an assimilated dust transport model , 2008 .

[31]  L. Mona,et al.  Systematic lidar observations of Saharan dust over Europe in the frame of EARLINET (2000-2002) , 2008 .

[32]  José María Baldasano,et al.  Contribution of Saharan dust in an integrated air quality system and its on‐line assessment , 2008 .

[33]  François-Marie Bréon,et al.  Aerosol vertical distribution in dust outflow over the Atlantic: Comparisons between GEOS‐Chem and Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) , 2008 .

[34]  David M. Winker,et al.  CALIPSO lidar observations of the optical properties of Saharan dust: A case study of long‐range transport , 2008 .

[35]  Ilan Koren,et al.  Quantifying uncertainty in estimates of mineral dust flux: An intercomparison of model performance over the Bodélé Depression, northern Chad , 2008 .

[36]  J. Baldasano,et al.  Regional dust model performance during SAMUM 2006 , 2009, Geophysical Research Letters.

[37]  N Künzli,et al.  Size fractionate particulate matter, vehicle traffic, and case-specific daily mortality in Barcelona, Spain. , 2009, Environmental science & technology.

[38]  G. Kallos,et al.  African dust contributions to mean ambient PM10 mass-levels across the Mediterranean Basin , 2009 .

[39]  Sara Basart,et al.  The Potential of the Synergistic Use of Passive and Active Remote Sensing Measurements for the Validation of a Regional Dust Model , 2009 .

[40]  L. Mona,et al.  One year of CNR-IMAA multi-wavelength Raman lidar measurements in coincidence with CALIPSO overpasses: Level 1 products comparison , 2009 .

[41]  D. Winker,et al.  Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms , 2009 .

[42]  Lars Schneidenbach,et al.  Parallel software for retrieval of aerosol distribution from LIDAR data in the framework of EARLINET-ASOS , 2009, Comput. Phys. Commun..

[43]  Sara Basart,et al.  A full year evaluation of the CALIOPE-EU air quality modeling system over Europe for 2004 , 2010 .

[44]  R. Lovett.  African dust keeps Amazon blooming , 2010 .

[45]  Vincenzo Cuomo,et al.  CIAO: the CNR-IMAA advanced observatory for atmospheric research , 2010 .

[46]  Sabine Henry,et al.  What do we know about effects of desert dust on air quality and human health in West Africa compared to other regions? , 2010, The Science of the total environment.

[47]  David N. Whiteman,et al.  Linear estimation of particle bulk parameters from multi-wavelength lidar measurements , 2011 .

[48]  Sara Basart,et al.  Atmospheric dust modeling from meso to global scales with the online NMMB/BSC-Dust model – Part 2: Experimental campaigns in Northern Africa , 2011, Atmospheric Chemistry and Physics.

[49]  L. Mona,et al.  Multi-wavelength Raman lidar observations of the Eyjafjallajökull volcanic cloud over Potenza, southern Italy , 2011 .

[50]  Jan-Berend W Stuut,et al.  Dust storms over the Arabian Gulf: a possible indicator of climate changes consequences , 2011 .

[51]  Sara Basart,et al.  Aerosols in the CALIOPE air quality modelling system: evaluation and analysis of PM levels, optical depths and chemical composition over Europe , 2011 .

[52]  X. Querol,et al.  Spatio-temporal variability of concentrations and speciation of particulate matter across Spain in the CALIOPE modeling system , 2012 .

[53]  Charles A. Trepte,et al.  Comparison of CALIPSO aerosol optical depth retrievals to AERONET measurements, and a climatology for the lidar ratio of dust , 2012 .

[54]  Sara Basart,et al.  Mediterranean basin-wide correlations between Saharan dust deposition and ocean chlorophyll concentration , 2012 .

[55]  L. Mona,et al.  Multi year sun-photometer measurements for aerosol characterization in a Central Mediterranean site , 2012 .

[56]  L. Mona,et al.  Lidar Measurements for Desert Dust Characterization: An Overview , 2012 .

[57]  L. Mona,et al.  Stratospheric AOD after the 2011 eruption of Nabro volcano measured by lidars over the Northern Hemisphere , 2012 .

[58]  W. Collins,et al.  Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results , 2012 .

[59]  C. Pérez García-Pando,et al.  Development and evaluation of the BSC-DREAM8b dust regional model over Northern Africa, the Mediterranean and the Middle East , 2012 .

[60]  C. Heald,et al.  An A-train and model perspective on the vertical distribution of aerosols and CO in the Northern Hemisphere , 2012 .

[61]  A. Ansmann,et al.  Optimizing Saharan dust CALIPSO retrievals , 2013 .

[62]  P. Seifert,et al.  Evaluation of the Lidar/Radiometer Inversion Code (LIRIC) to determine microphysical properties of volcanic and desert dust , 2013 .

[63]  V. Freudenthaler,et al.  EARLINET: towards an advanced sustainable European aerosol lidar network , 2014 .

[64]  Natasha D. White,et al.  Ocean Acidification: The Other Climate Change Issue , 2014 .

[65]  Peter J. Diggle,et al.  Soil Dust Aerosols and Wind as Predictors of Seasonal Meningitis Incidence in Niger , 2014, Environmental health perspectives.