3:00pm - 3:15pmTU4-3: 1
Evaluating the Impact of Wildfires in Mexico City with the ECLIPPS
Graciela B. Raga1, Kim Dill2, Armando Retama3, Darrel Baumgardner2, Adam Slagel2
1Universidad Nacional Autonoma de Mexico, Mexico; 2Droplet Measurement Technologies; 3Molina Center for Energy and the Environment (MCE2)
The Environmentally Coupled, Lidar-Integrated Pollution Prognostics System (ECLIPPS), which couples in situ and lidar measurements with global forecasts and regional transport models, has been developed to aid air quality forecasting. ECLIPPS extracts the Integral Length Scale from measurements with the Mini Micro Pulse LiDAR (MiniMPL,), converts backscatter to fine particle concentrations (PM2.5), accesses meteorological data and inputs all these parameters into a transport model to provide air quality forecasts. The ECLIPPS has been used to evaluate aerosol vertical profiles in Mexico City during a period of extremely high PM2.5 due to regional transport of wildfire emissions
3:15pm - 3:30pmTU4-3: 2
Regional Mapping of Speciated Particulate Matter (PM) with the Multi-Angle Imager for Aerosols (MAIA) Satellite Investigation: Status Update and Preliminary Results from MAIA’s Surface PM Monitoring Network
Sina Hasheminassab1, David J. Diner1, Andrés Alastuey2, Silvia Barberini3, Jeffrey Blair4, Sabrina Chow5, Ann M. Dillner6, Angeliki Karanasiou2, Christian L’Orange7, Yang Liu5, Randall V. Martin8, Christopher Oxford8, Matteo Picchiani9, Vanes Poluzzi10, Xavier Querol2, Giovanni Rum9, Jeremy A. Sarnat5, Hye Jung Shin11
1Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA; 2Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain; 3ARPA Lazio, Rome, Italy; 4AethLabs, San Francisco, CA, USA; 5Emory University, Atlanta, GA, USA; 6University of California–Davis, Davis, CA, USA; 7Colorado State University, Fort Collins, CO, USA; 8Washington University, St. Louis, MO, USA; 9Italian Space Agency, Rome, Italy; 10ARPAE Emilia-Romagna, Bologna, Italy; 11National Institute of Environmental Research, Department of Air Quality Research, Incheon, South Korea
The Multi-Angle Imager for Aerosols (MAIA) mission, part of NASA’s Earth Venture Instrument program, investigates the health impacts of exposure to ambient particulate matter (PM). MAIA focuses on 12 Primary Target Areas (PTAs) worldwide, integrating satellite observations with ground-based PM measurements to map PM2.5, PM10, and chemically speciated PM2.5 at 1-km resolution. NASA and the Italian Space Agency (ASI) jointly implement MAIA, with satellite launch planned for 2026. This presentation provides a status update on MAIA’s ground-based monitoring network and preliminary findings, highlighting PM variability across PTAs.
3:30pm - 3:45pmTU4-3: 3
On the volume-to-extinction ratio of dust
Alkistis Papetta1, Maria Kezoudi1, Alexandra Tsekeri2, Elena Louca1, Holger Baars3, Konrad Kandler4, Eleni Drakaki2, Eleni Marinou2, Troy Thornberry5, Chris Stopford6, Jean Sciare1, Vassilis Amiridis2, Franco Marenco1
1Climate and Atmosphere Research Centre (CARE-C), The Cyprus Institute, Nicosia 2121, Cyprus; 2Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, 15236, Greece; 3Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany; 4Institute of Applied Geosciences, Technical University of Darmstadt, Darmstadt 64287, Germany; 5National Oceanic Atmospheric Administration (NOAA), Boulder, CO 80305, USA; 6University of Hertfordshire, Hatfield, United Kingdom
Accurate aerosol quantification is vital for climate modeling, air quality assessment, and aviation safety. This study investigates the volume-to-extinction ratio (ζ) for mineral dust using a unique combination of UAV-mounted optical particle counters, ground-based lidar, and sun photometers. Data from the 2021 Cyprus Fall and 2022 ASKOS campaigns capture diverse dust events from the Middle East and Sahara. Results highlight discrepancies in size distribution retrievals, impacting ζ estimates. Comparisons with MOPSMAP and WRF-Chem-GOCART reveal model limitations. This synergistic approach, combining airborne in-situ observations with remote sensing, provides valuable insights into this important ratio, essential for remote sensing and atmospheric modeling.
3:45pm - 4:00pmTU4-3: 4
Chemical composition of long-range transported Saharan dust at the High-Altitude Research Station Jungfraujoch (3580 m a.s.l.) – Effects of transport and source regions
Julian Weng1, Yufang Hao1, Tianqu Cui1, Lubna Dada1, Mihnea Surdu1, Peeyush Khare1,6, Xenia Kipouros1, Ka Yuen {Rico} Cheung1, Jens Top1, David Bell1, Nora Kristina Nowak1, Christoph Hueglin2, Martine Collaud Coen3, Sophie Darfeuil4, Patrick Ginot4, Jean-Luc Jaffrezo4, Thaleia Gkraikou5, Konstantina Oikonomou5, Jean Sciare5, Jay Gates Slowik1, Andre Prevot1, Benjamin Tobias Brem1, Martin Gysel Beer1, Kaspar Rudolf Dällenbach1, Imad El Haddad1, Patrik Winiger1
1Paul Scherrer Institute, PSI, Switzerland; 2Swiss Federal Laboratories for Materials Science and Technology (EMPA), Switzerland; 3Federal office of meteorology and climatology, MeteoSwiss, Switzerland; 4Institute of Environmental Geosciences, Université Grenoble Alpes, France; 5Climate and Atmosphere Research Center, The Cyprus Institute, Cyprus; 6Now at: Institute of Climate and Energy Systems: Troposphere, FZ Jülich, Germany
Mineral dust chemical and mineralogical composition are key parameters for modeling its earth system impacts. Here, we link the chemical characteristics (full mass closure) of over 25 long-range transported Saharan dust plumes observed at the Jungfraujoch (JFJ) high-altitude research station in Switzerland (3580 m a.s.l.) to their source regions and transport trajectories. Systematic analysis of different satellite-based remote sensing products stands in the centre of identifying these relationships. Clear geographical as well as transport time related trends are observed for different chemical parameters, highlighting the need for differentiation related to source regions and transport when estimating dust earth system impacts.
4:00pm - 4:15pmTU4-3: 5
Evaluation of aerosol optical properties using ceilometer, sun-photometer data and synergistic approach by means GRASP algorithm
Jorge Muñiz-Rosado1,2, Alberto Cazorla1,2, Roberto Román3,4, Celia Herrero del Barrio3,4, Alexander Haefele5, Eric Sauvageat5, Onel Rodríguez-Navarro1,2, Carlos Toledano3,4, Lucas Alados-Arboledas1,2, Francisco Navas-Guzmán1,2
1Andalusian Institute for Earth System Research (IISTA-CEAMA), Granada, 18071, Spain; 2Applied Physics Department, University of Granada, Granada 18071, Spain; 3Group of Atmospheric Optics (GOA-UVa), University of Valladolid, 47011, Valladolid, Spain; 4Laboratory of Disruptive Interdisciplinary Science (LaDIS), Valladolid, Spain; 5Federal Office of Meteorology and Climatology, MeteoSwiss, Payerne, Switzerland
This study evaluates vertical aerosol profiles (backscatter βₐₑᵣ and extinction αₐₑᵣ coefficients) using ceilometer, GRASPpac (ceilometer-sun photometer synergy), and COBALD balloon soundings across three European stations (2019 - 2020). Analyzing 4,530 profiles and 35 COBALD soundings. Forward inversion with ceilomneters exhibited the lowest deviations and variability compared with backward. This study underscores the enhanced performance of ceilometer retrievals utilizing the forward inversion in comparison to GRASPpac. Furthemore, the findings validate the reliability of GRASPpac for aerosol profiling emphasizing the advantages of synergistic retrieval approaches.
4:15pm - 4:30pmTU4-3: 6
Estimate of the aerosol dry deposition using synergies between remote sensing and in situ observations: a case study
Camelia Talianu1,2, Jeni Vasilescu1, Doina Nicolae1, Andrei Dandocsi1,3
1National Institute of Research and Development for Optoelectronics, Romania; 2BOKU University, Institute of Meteorology and Climatology, Vienna, Austria; 3UNST Politehnica of Bucharest, Bulevardul Iuliu Maniu 1-3, Bucharest, 061071, Bucharest, Romania
This paper presents a new technique for estimating the dry deposition of aerosols based on the synergy between observational data from ground-based remote sensing and in situ instruments (operated at the RADO-Bucharest ACTRIS station), Copernicus Atmosphere Monitoring Service (CAMS) products and atmospheric models. To estimate the dry deposition, black carbon was used as a proxy for aerosols. The result shown that the modeling of aerosol deposition requires also precise vertical aerosol profiles at the in situ station; the effect of medium- and long-range transport of aerosol can not be neglected when investigating the air quality using in situ measurements.
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