[MIRA] MIRA Webinar April 22 -- Dr. Oleg Dubovik

Mon Apr 8 17:55:59 PDT 2024

Friends of MIRA,

I am pleased to announce that Dr. Oleg Dubovik will be our next MIRA webinar speaker on Monday, April 22, 2024 at 13 GMT.

Thank-you

Greg Schuster

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Harmonization of the assumptions of atmospheric aerosol properties in climate models and remote sensing approaches

Oleg Dubovika, Pavel Litvinovb, Tatyana Lapyonoka, Masahiro Momoib, Anton Lopatinb,  Bertrand Fougniec, Samuel Remid, R. Checa-Garciae, and Johannes Flemminge

a Université de Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, Lille, France

b GRASP SAS, Lezennes, France

cEUMETSAT, Darmstadt, Germany

d HYGEOS, Lille, France

e ECMWF, Reading, UK

*Presenting author:( oleg.dubovik at univ-lille.fr)

The assimilation and reanalysis efforts have essentially advanced in last decades benefiting from the progress in both modeling and observations. However, there is an essential gap between aerosol modellng approaches used in remote sensing algorithms and in the global climate models. This complicates the utilization of the remote sensing data in the reanalysis for constraining  global climate models and  improving their forecast capabilities. This gap also has a restraining effect on the evolution of remote sensing. For example, the predicted or climatological aerosol information from global climate models (e.g., aerosol type, vertical profiles, etc.) can be a valuable source of a priori information to constrain the retrievals, while some inconsistencies in aerosol representations complicate the use of this information  in the remote sensing algorithms.

The presentation discusses the harmonization and aligning aerosol modeling assumptions used in CAMS  and MERRA-2 model and aerosol retrieval from multi-angular polarimetric data realized by the GRASP/Components approach. The GRASP/Components approach uses quite similar aerosol modeling concept to that of aerosol transport models. Indeed, it considers aerosol as a mixture of  aerosol components with known index of refraction and derives particle size distribution and fractions of different aerosol components. The aerosol components used in CAMS  and MERRA-2 and  were compared  with GRASP and analyzed by outlining possible advantages and shortcoming in both concepts. As a result, several modifications were recommended for both models and GRASP in order to improve consistency of two approaches. It is expected that once the suggested modifications are realized the aerosol parameters derived from remote sensing are more adapted for  the assimilation of the observation and the use of model forecast data (e.g., aerosol vertical distribution, changes in aerosol properties due to humidity variations, etc.) are straight forward for constraining the remote sensing retrieval.

Scientific biography of Oleg Dubovik

Dr Oleg DUBOVIK specializes in retrievals of aerosol properties from satellite, ground-based, and airborne remote sensing observations. Dr. Dubovik has received his PhD. from Institute of Physics, Minsk, Belarus in 1992. Then, he worked in Japan for two years, participating in ADEOS/ILAS algorithm developments, and nine years in USA at GSFC/NASA research center. Since 2006, Dr. Dubovik works in the Laboratoire d'Optique Atmosphérique, Université Lille, France as CNRS “Research Director”. Main scientific accomplishments of Dr. Dubovik include following developments: - aerosol retrieval algorithm for AERONET federated network of ground-based radiometers (https://aeronet.gsfc.nasa.gov)- one of pioneering climatologies of absorption and optical properties of ambient tropospheric aerosol; - popular efficient software for modeling scattering by non-spherical aerosol particles. Dr. Dubovik focuses on refinement of methodological aspects of numerical inversion for needs of remote sensing by applying elaborated statistical optimization approach. The developed principles were recently realized GRASP open source algorithm (https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.grasp-open.com%2F&data=05%7C02%7Cmira%40espo.nasa.gov%7Cb16a58b19ff54eac148608dc582fd567%7C7005d45845be48ae8140d43da96dd17b%7C0%7C0%7C638482209678066580%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=PBpq2nKW5D04wZZLZjW5awDBIx2Z%2FC8OhrtTUaNvg80%3D&reserved=0<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.grasp-open.com%2F&data=05%7C02%7Cmira%40espo.nasa.gov%7Cb16a58b19ff54eac148608dc582fd567%7C7005d45845be48ae8140d43da96dd17b%7C0%7C0%7C638482209678066580%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=PBpq2nKW5D04wZZLZjW5awDBIx2Z%2FC8OhrtTUaNvg80%3D&reserved=0>) that can be applied to retrieval detailed aerosol properties fro diverse observations including both passive and active observations from satellite or ground. For example, GRASP is used in multiple algorithm development for deriving extended set of parameters from ground-based observations by lidar and radiometer (e.g., in operational processing frame of European ACTRIS infrastructure) satellite observations by POLDER-1,-2,-3, MERIS and AATSR/Envisat, Sentinel -3, -4, -5P, 3MI/EPS-SG, MAP/CO2M, etc.

Dr. Dubovik is (co-) author of 5 book chapters and more than 270 publications in peer-reviewed scientific journals . Dr. Dubovik has 4 first-authored papers have more than 1000 citations each, with  total number of citations over 40900 and h-index 94. In 2005, Dr. Dubovik has received NASA Medal for Public Service that recognizes exceptional contributions to NASA mission. In 2010 Dr. Dubovik was elected a fellow of American Geophysical Union.

List of selected publications:

Dubovik, O., D. Fuertes, P. Litvinov, etc., “A Comprehensive Description of Multi- Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications”, Front. Remote Sens. 2:706851. doi: 10.3389/frsen.2021.706851, 2021.

Dubovik, O., G. Schuster, F. Xu, Y. Hu, H. Boesch, J. Landgraf and  Z. Li, “Grand challenges in satellite remote sensing”, Front. Remote Sens., 2:619818. doi: 10.3389/frsen.2021.619818, 2021.

Dubovik, O., Z. Li, M. I. Mishchenko, etc., “Polarimetric remote sensing of atmospheric aerosols: instruments, methodologies, results, and perspectives”, J. Quant. Spectrosc. Radiait. Transfer, doi.org/10.1016/j.jqsrt.2018.11.024, 474–511, 2019.

Dubovik, O, M. Herman, A. Holdak, etc., “Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satel-ite observations”, Atmos. Meas. Tech., 4, 975-1018, 2011.

Dubovik, O., T. Lapyonok, Y. J. Kaufman, M. Chin, P. Ginoux, R. A. Kahn, and A. Sinyuk, Retrieving global aerosol sources from satellites using inverse modeling, Atmos. Chem. Phys., 8, 209–250, 2008.

Dubovik, O., A. Sinyuk, T. Lapyonok, B. N. Holben, M. Mishchenko, P. Yang, T. F. Eck, H. Volten, O. Munoz, B. Veihelmann, van der Zander, M Sorokin, and I. Slutsker, Application of light scatter-ing by spheroids for accounting for particle non-sphericity in remote sensing of desert dust, J. Geophys. Res., 111, D11208, doi:10.1029/2005JD006619, 2006.

Dubovik, O., B. N. Holben, T. F. Eck, A. Smirnov, Y. J. Kaufman, M. D. King, D. Tanré, and I. Slutsker, Variability of absorption and optical properties of key aerosol types observed in world-wide locations, J. Atmos. Sci., 59, 590–608, 2002.

Dubovik, O., and M. D. King, A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements, J. Geophys. Res., 105, 20673–20696, 2000.

Dubovik, O., A. Smirnov, B. N. Holben, M. D. King, Y. J. Kaufman, T. F. Eck, and I. Slutsker, Accuracy assessments of aerosol optical properties retrieved from AERONET Sun and sky-radiance measurements, J. Geophys. Res., 105, 9791–9806, 2000.

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