Posters Session

Day 3 – Wed, May 24, 2023

Chairman: Boichu M., Derimian Y.

15:45 – 17:45

1. Aerosol Characterization

1.1 Mass concentration of volcanic ashes combining automatic remote sensors ceilometers and sunphotmeters during La Palma volcano eruption
Andres Bedoya, ONERA (France)

1.2 Technical introduction of LIFE (Laser Induced Fluorescence Explorer) : A high-power, multi-spectral and flexible lidar developed in the framework of AGORA-Lab
William Boissière, Laboratoire d’Optique Atmosphérique (France)

1.3 Aerosol optical depth climatology from the high-resolution MAIAC observations product over Europe: difference between major European cities and their surrounding environment
Ludovico Di Antonio, LISA (France)

1.4 Evolution of Absorbing Aerosol Properties During Long-Range Transport in the Southeast Atlantic Using Remote-Sensing
Abdulamid Fakoya, University of Oklahoma (USA)

1.5 The Seasonal and Temporal Evolution of Isolated Deep Convection over the Amazon Rainforest
Siddhant Gupta, Brookhaven National Laboratory (USA)

1.6 Study on Aerosol Retrieval with DPC Sensors and the GRASP Method
Shikuan Jin, GRASP-SAS (France)

1.7 Datasets from remote sensing of aerosols and clouds at Chiba University
Nofel Lagrosas, Chiba University (Japan)

1.8 Remote sensing of aerosol hygroscopic enhancement in the ambient atmosphere using a combination of lidar and microwave radiometer
Lakshmi N B, National Centre for Earth Science Studies (India)

1.9 Optimal interpolation of AERONET AOD observations using output of the GEOS-Chem model
Natallia Miatselskaya, Institute of Physics (Belarus)

1.10 Subseasonal Variability of Biomass Burning Aerosol Radiative Properties Retrieved by 4STAR during the ORACLES 2016-2018 Campaigns and Comparison with In-Situ Observations and the AERONET Extended Record
Logan T. Mitchell, University of Oklahoma (USA)

1.11 Aircraft Measurements of the Convective Properties of Tropical Cyclone Eye and Eyewall Clouds
Ethan Murray, Laboratory for Atmospheric and Space Physics (Colorado)

1.12 Building an efficient gaseous absorption database for the Eradiate radiative transfer model
Yvan Nollet, Rayference (Belgium)

1.13 Evaluating SO2 Lifetime and Sulphate aerosol Production in tropospheric Volcanic Plumes: A Combined Analysis of OMI and POLDER-3 Observations for a Case Study of Kilauea Volcano
Smita Panda, Laboratoire d’Optique Atmosphérique (France)

1.14 A new approach to obtain high-resolution ground-truth data by marine LIF LiDAR from the upper water layer for the satellite bio-optical models of water quality parameters retrieval and environmental survey
Vadim Pelevin, LIFeLiDAR SAS (France)

1.15 Impact of surface-cloud coupling for aerosol-cloud-interactions over the Southern Great Plains
Natalia Roldan-Henao, University of Maryland (USA)

1.16 The Complex Refractive Indices of Mineral Aerosols and Why they Matter
Gregory L. Schuster, NASA Langley (USA)

1.17 High Spectral Resolution Lidar (HSRL)-Based Methods for Estimating PM2.5 During the DISCOVER-AQ and KORUS-AQ Campaigns
Bethany Sutherland, North Carolina State University (USA)

1.18 The opposition effects of Solar System bodies: characteristics and simulation
Victor Tishkovets, The Institute of Radio Astronomy of NASU (Ukraine)

1.19 New scientific and technological developments on mobile photometry for shipborne platforms
Benjamin Torres, Laboratoire d’Optique Atmosphérique (France)

1.20 Models, In situ, and Remote sensing of Aerosols (MIRA) International Working Group
Chip Trepte, NASA Langley Research Center (USA)

1.21 Aerosol direct radiative effects from extreme fire events in Australia, California and Siberia occurring in 2019-2020
T. Vescovini, CNRM (France)

1.22 Investigating clouds in Romania: One year of observations at a REXDAN remote sensing station
Mirela Voiculescu, University Dunarea de Jos of Galati (Romania)

1.23 Cloud Detection from POLDER-3 Measurements using a Neural Network Approach
Zihao Yuan, Netherlands Institute for Space Research (Netherlands)

1.24 Simultaneous lidar and sun photometer observations of aerosol characteristics during events of high aerosol concentration
Yuliia Yukhymchuk, Laboratoire d’Optique Atmosphérique (France)

1.25 Aerosol optical properties and its radiative effects to planetary boundary layer during air pollution episodes in North China: Intercomparison of a plain site and a mountainous site in Beijing
Yu Zheng, State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry (China)

1.26 POLDER aerosol retrievals can be used to attribute biases in modelled AAOD to specific processes
Q. Zhong, Vrije Universiteit Amsterdam (Netherlands)

2. Future Missions Synergy

2.1 3β+3𝛼+2δ, water vapor, and fluorescence high-performance Raman lidar for an enhanced observation of atmospheric aerosols and clouds
S. Fernández-Carvelo, University of Granada (Spain)

2.2 Aerosols Characterization combining Automatic Two-wavelength Polarization Lidar and Sun/Sky/Moon Photometer
Maria Fernanda Sanchez-Barrero, Laboratoire d’Optique Atmosphérique (France)

2.3 Cross calibration of DPC and POSP onboard Chinese GaoFen-5(02) satellite
Xuefeng Lei, University of Science and Technology (China)

2.4 Progress in On-Orbit Testing of Synchronization Monitoring Atmospheric Corrector (SMAC)
Mengfan Li, Anhui Institute of Optics and Fine Mechanics (China)

2.5 GRASP sensitivity to polarized scattered radiances on coarse-mode aerosol properties from a synergy between photometer and lidar data
D.C.F.S. Oliveira, Universitat Politècnica de Catalunya (Spain)

2.6 Advancements on the Hyper-Angular Rainbow Polarimeter (HARP) polarization characterization during NASA Plankton Aerosol and Ocean Ecosystem (PACE) pre-launch calibration
Noah Sienkiewicz, University of Maryland Baltimore County (USA)

2.7 Combining in-situ measurements with GRASP retrievals – towards complete extinction profiles
Artur Szkop, Institute of Geophysics, Polish Academy of Sciences (Poland)

2.8 On-orbit geometric calibration and geolocation evaluation of Directional Polarimetric Camera onboard China Gaofen-5 02 satellite
Guangfeng Xiang, Anhui Institute of Optics and Fine Mechanics (China)

3. In-Situ

3.1 Multiwavelength Polarized Imaging Nephelometer (PI-Neph) in support of aerosol microphysical properties retrievals
E. Bazo, University of Granada (Spain)

3.2 A new surface station for long-term observations of climate-relevant properties of atmospheric aerosols at Gobabeb, in Namibia: first results and possible synergies
Paola Formenti, LISA (France)

3.3 Lidar-Derived Vertically Resolved Cloud Condensation Nuclei Concentrations for Various Aerosol Types and their Applications in Evaluating Aerosol-Cloud Interactions
Emily D. Lenhardt, University of Oklahoma (USA)

3.4 Advanced Aerosol Characterization from Nephelometers using GRASP algorithm
Chong Li, GRASP-SAS (France)

3.5 Multi-insrumental approach to aerosol size distribution characterization
Aleksander Pietruczuk, Institute of Geophysics, Polish Academy of Sciences (Poland)

4. Inversion Algorithms

4.1 Retrieval of dust microphysical properties from multi-wavelength Mie- Raman-polarization lidar using different particle scattering models
Yuyang Chang, Laboratoire d’Optique Atmosphérique (France)

4.2 C3IEL, the cluster for cloud evolution climate and lightning mission to study convective clouds at high spatial and temporal resolutions
Céline Cornet, Laboratoire d’Optique Atmosphérique (France)

4.3 Grasping Polarimetric Coordinate Conventions
Clarissa M. DeLeon, The University of Arizona Wyant College of Optical Sciences (USA)

4.4 Overview of aerosol components retrieval from solar and synergy with thermal IR in the framework of GRASP and what is next
Yevgeny Derimian, Laboratoire d’Optique Atmosphérique (France)

4.5 Use of GRASP aerosol information in full-physics CO2 retrievals from CO2M measurements
Antonio Di Noia, University of Bremen (Germany)

4.6 How can fluorescence lidar improve the detection and characterization of aerosol particles? – Implementation and first results at Leipzig, Germany
Benedikt Gast, Leibniz Institute for Tropospheric Research (Germany)

4.7 An aternative method for deriving aerosol optical properties and aerosol type via an all-sky imager and machine learning
Giannaklis C.P, Laboratory of Atmospheric Physics (Greece)

4.8 Dynamic error estimates provided by GRASP algorithm for POLDER/PARASOL observations: generation and evaluation
Milagros Herrera, GRASP-SAS (France)

4.9 Retrieval of aerosol properties from zenith sky radiance measurements
S. Herrero-Anta, Universidad de Valladolid (Spain)

4.10 An advanced Synchronization Monitoring Atmospheric Corrector (ASMAC)with onboard atmospheric parameter calculation
Yadong Hu, Anhui Institute of Optics and Fine Mechanics (China)

4.11 Aerosol Retrievals using GRASP from HARP CubeSat Data in Near Cloud Regions
Nirandi Jayasinghe, University of Maryland Baltimore County (USA)

4.12 Assessing cloud microphysics from dual-field-of-view polarization lidar: technical aspects and potential applications
Cristofer Jimenez, Leibniz Institute for Tropospheric Research (Germany)

4.13 Variations of aerosol radiative forcing at different types of sites in China based on SONET long-term observations
Li Li, Aerospace Information Research Institute (China)

4.14 Optimisation of advanced Near Real Time retrieval of aerosol properties from multi-angular polarimetric observations using GRASP algorithm
Anton Lopatin, GRASP-SAS (France)

4.15 Simultaneous retrieval of trace gases, aerosol and cirrus using RemoTAP – the global orbit ensemble study for the CO2M mission
Sha Lu, SRON Netherlands Institute for Space Research (Netherlands)

4.16 Aerosol Optical Thickness Retrieval in Presence of Clouds
Marta Luffarelli, Rayference SRL (Belgium)

4.17 Efficient RT calculation using truncation correction methods under aerosol and cloud atmospheres implemented in GRASP
Masahiro Momoi, GRASP-SAS (France)

4.18 Using Artificial Neural Networks to resolve the aerosol type
Victor Nicolae, National Institute of Research and Development for Optoelectronics (Romania)

4.19 Water vapor content retrieval in cloudy sky conditions from SWIR satellite observations in the context of C3IEL, a French Israeli space mission project
Raphaël Peroni, Laboratoire d’Optique Atmosphérique (France)

4.20 Optimisation of GRASP for the Multi-Angle Polarimeter (MAP) in the context of atmospheric correction for CO2 retrievals
Pepe Phillips, EUMETSAT (Germany)

4.21 A Comparative Study of Aerosol Retrievals using Spheroidal and Hexahedral Kernels in Generalized Retrieval of Aerosol and Surface Properties (GRASP) Model with Research Scanning Polarimeter (RSP) and High Spectral Resolution Lidar (HSRL) Data from ORACLES Field Campaigns
Greema Regmi, University of Maryland Baltimore County (USA)

4.22 – Application of deep neural networks for the retrieval of cloud properties for Sentinel-4 and TROPOMI / Sentinel-5 Precursor
Fabian Romahn, German Aerospace Center (Germany)

4.23 Retrieval of cloud optical properties from multispectral remote sensing data using machine learning
T.V. Russkova, V.E. Zuev Institute of Atmospheric Optics (Russia)

4.24 An automatic algorithm of the airborne pollen characterization using lidar derived parameters
Xiaoxia Shang, Finnish Meteorological Institute (Finland)

4.25 Retrieving Liquid Cloud Droplet Size Distribution from the Geometric Parameters of Polarized Cloudbow: Preliminary demonstrations and a direction forward
Rachel E. Smith, University of Maryland Baltimore County (USA)

4.26 Offline AOD calculations based on LOTOS-EUROS for quick assessment of sensitivities of the optical properties of the atmosphere to assumed aerosol characteristics
Janot Tokaya, TNO Department of Climate, Air and Sustainability (Netherlands)

4.27 The potential to constrain aerosol water uptake in climate models using remote sensing observations
Bastiaan van Diedenhoven, SRON Netherlands Institute for Space Research (Netherlands)

4.28 Aerosol Characterisation based on EPS-SG/3MI polarimetric observations
M. Vazquez-Navarro, EUMETSAT (Germany)

4.29 Vertical profile algorithm for aerosol components in ground-based remote sensing data
Futing Wang, State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (China)

4.30 Aerosol retrieval from GF-5B DPC multi-angle data over Jing-jin-ji Region
Zhongting Wang, Satellite Application Center for Ecology and Environment (China)

4.31 Retrieving Water-body Reflectance and Marine Biogeochemical Properties with the GRASP Algorithm
Siyao Zhai, GRASP-SAS (France)

4.32 Improved Inversion of Aerosol Components in the Atmospheric Column from Remote Sensing Data
Ying Zhang, Aerospace Information Research Institute (China)

4.33 Aerosol retrieval over snow using RemoTAP
Zihan Zhang, SRON Netherlands Institute for Space Research (Netherlands)

5. Modeling

5.1 Retrieval of high spatial resolution black carbon sources: use of the adjoint GEOS-CHEM model in conjunction with WRF-CHEM calculations to improve the emission pattern on a regional scale
Abhinna K. Behera, Laboratoire d’Optique Atmosphérique (France)

5.2 The use of multi-angular polarimetric remote sensing to constrain aerosol absorption and direct radiative forcing
Cheng Chen, Laboratoire d’Optique Atmosphérique (France)

5.3 The Impact of Clouds on the Orbiting Carbon Observatory-2 Satellite Trace Gas Retrievals
Yu-Wen Chen, University of Colorado Boulder (USA)

5.4 Optical and radiative closure while deriving aerosol radiative effects in the vicinity of clouds
Ken Hirata, University of Colorado Boulder (USA)

5.5 Multi-scale chemistry-transport modelling of the 2022 extreme Sahara dust event over Paris
Konstantin Kuznetsov, GRASP-SAS (France)

5.6 Development of a Surrogate Reduced Order Model for Predicting Urban Air Pollution Transport using Computational Fluid Dynamics
Paul Sylvestre, GRASP-SAS (France)