Dr. Caterina Mogno is currently a postdoctoral researcher at the Atmospheric Chemistry and Dynamics Laboratory, as part of the Goddard Earth Science and Technology and Research (GESTAR-II). Her current research focus on observational-based evaluation and improvement of the aerosol component of the NASA GEOS-CCM model. She also works on analysis of drivers and trends in air quality and aerosol composition in a changing climate, using atmospheric models, ground-based and remote-sensing observations. Her broader interests and experience also include emissions from low-carbon transportation, complex systems modeling and science outreach.
Caterina Mogno
(Post-Doctoral Research Associate)
| Email: | caterina.mogno@nasa.gov |
| Org Code: | 614 |
| Address: |
NASA/GSFC Mail Code 614 Greenbelt, MD 20771 |
| Employer: | UNIVERSITY OF MARYLAND BALTIMORE CO |
Brief Bio
Positions/Employment
Postdoctoral Reseach Associate
UMBC / NASA GSFC - Nasa Goddard Space Flight Center, Greenbelt, MD
May 2023 - Present
Postdoctoral Research Associate
University of Edinburgh - Edinburgh, UK
October 2022 - December 2022
Modelling Space-Borne Observations of Tropospheric Chemistry
Visiting Researcher
University of Michigan - Ann Arbor, MI, USA
January 2022 - April 2022
Modeling the impact of future electric vehicle fleets on air quality over Delhi, India.
Research Trainee
European Commission, Joint Research Centre - Ispra, IT
January 2018 - July 2018
Assessing and modeling the impact of connected and autonomous vehicles on pollutant emissions.
Teaching Experience
Tutor and Teaching Assistant, The University of Edinburgh, UK, 2019-2021
Departments: School of GeoSciences, School of Physics and Astronomy.
Courses: Earth Modeling and Prediction, Scientific Programming (Python), Weather and Climate,
Science Outreach and Engagement
Associate Fellowship Higher Education Academy (AFHEA), UK, 2021
Education
Ph.D, Atmospheric and Environmental Sciences, University of Edinburgh, UK, 2023
Thesis Title: Quantifying the Impact of on-road transportation on fine particulate matter over Delhi megacity
Advisor: Prof. Paul Palmer
M.Sc, Theoretical Physics, University of Padua, IT, 2016
B.Sc, Physics, University of Padua, IT 2014
Professional Societies
American Meteorological Society (AMS)
Member
2024 - Present
American Geophysical Union (AGU)
Member
2023 - Present
European Geosciences Union (EGU)
Member
2020 - 2022
Publications
Refereed
2023. "Road transport impact on PM2.5 pollution over Delhi during the post-monsoon season." Atmospheric Environment: X 17 100200 [10.1016/j.aeaoa.2022.100200] [Journal Article/Letter]
2022. "The application of the CO2MPAS model for vehicle CO2 emissions estimation over real traffic conditions." Transport Policy 124 152-159 [10.1016/j.tranpol.2020.01.005] [Journal Article/Letter]
2021. "Seasonal distribution and drivers of surface fine particulate matter and organic aerosol over the Indo-Gangetic Plain." Atmospheric Chemistry and Physics 21 (14): 10881-10909 [10.5194/acp-21-10881-2021] [Journal Article/Letter]
2020. "The impact of automation and connectivity on traffic flow and CO2 emissions. A detailed microsimulation study." Atmospheric Environment 226 117399 [10.1016/j.atmosenv.2020.117399] [Journal Article/Letter]
2020. "Tools for Customized Consumer Information on Vehicle Energy Consumption and Costs - A European Case Study." Transportation Research Procedia 48 1493-1504 [10.1016/j.trpro.2020.08.194] [Journal Article/Letter]
2018. "A thermostatted kinetic theory model for event-driven pedestrian dynamics." The European Physical Journal Plus 133 (6): 213 [10.1140/epjp/i2018-12055-5] [Journal Article/Letter]
2018. "Modelling pedestrian dynamics into a metro station by thermostatted kinetic theory methods." Mathematical and Computer Modelling of Dynamical Systems 24 (2): 207-235 [10.1080/13873954.2018.1432664] [Journal Article/Letter]
2018. "Qualitative analysis of a discrete thermostatted kinetic framework modeling complex adaptive systems." Communications in Nonlinear Science and Numerical Simulation 54 221-232 [10.1016/j.cnsns.2017.06.007] [Journal Article/Letter]
Non-Refereed
2022. "EDGAR v5.0 emissions inventory speciated for the MOZART chemical mechanism." Zenodo [https://doi.org/10.5281/zenodo.6130621] [Dataset]