Contact Information
Research Interests
- Precipitation and Hydrometeorological Processes
- Satellite and Radar Remote Sensing
- Geospatial Data Science & Machine Learning
- Weather and Climate Risk
Research Description
#Fulbrighter. I am a Ph.D. student in the Department of Atmospheric Sciences at the University of Illinois at Urbana-Champaign, focused on warm cloud and rain microphysics. My research aims to reduce uncertainties in rainfall estimation by using machine learning techniques to enhance size distribution retrievals from spaceborne and ground-based radars, leveraging data from in-situ cloud probes and disdrometer surface observations.
I have a strong interest in machine learning, high-performance computing, big data, and data analysis and visualization to address complex environmental science challenges. As an advocate for open data and open science, I promote the use of Analysis-Ready Cloud-Optimized (ARCO) formats for storing data in public cloud storage, enhancing data access and usability for the global research community. Additionally, I am deeply interested in contributing to open-source software development within the Python ecosystem.
Education
- PhD - Climate, Meteorology, and Atmospheric Sciences.University of Illinois at Urbana Champaign (in progress)
- MSc. Meteorology. Universidad Nacional de Colombia (August 2018)
- BSc. Agricultural Engineering. Universidad Nacional de Colombia (August 2013)
Awards and Honors
- 2023 Summer School in MM-Wavelength Radar Observations of Clouds and Precipitation competition winner. Winner as a Team Member
- Fulbright – Colciencias Scholarship. Cohort 2020
- HACK THE RISK! Smart Solutions on Water Issues and Floods. Bogotá, Colombia - 2019. Winner as a Team Member
- Meritorious Thesis – MSc. Meteorology. Universidad Nacional de Colombia (2018)
Publications
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Ladino, A., Nesbitt, S.W., Di Girolamo L., Rauber M.R., McFarquhar G.M. Droplet size distribution retrieval from dual-frequency precipitation radar measurement using a deep neural network. (In preparation)
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Ladino, A., del Moral Méndez, A., Javornik, B., Michelson, D., Wolfensberger, D., Ghiggi, G., DeHart, J., Figueras i Ventura, J., Giles, J., Mühlbauer, K., Grover, M., Dixon, M., Jackson, R., Collis, S., Cha, T.-Y., & ERAD2024 Open Radar Science Shortcourse contributors. (2024). ERAD 2024 Open Radar Science Shortcourse. Zenodo. 10.5281/ZENODO.13694510
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Ladino, A. (2024). Raw2Zarr - A Python package for converting Colombian weather radar raw data into Zarr format, following FAIR principles for improved accessibility and usability within the global research community. (0.1.2). Zenodo. https://doi.org/10.5281/zenodo.13844834
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Ladino, A., Rivera N., Grover M., Scientific data workshop with Python and R - AtmosCol 2023. (2023). Zenodo. https://doi.org/10.5281/zenodo.8347110
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Grover, M., Sherman, Z., Sharma, M., Ladino, A., Camron, C., & Radar Cookbook contributors. (2023). Radar Cookbook (v2023.06.23). Zenodo. https://doi.org/10.5281/zenodo.8075855
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Rivelli Zea, L., Nesbitt, S.W., Ladino, A., Hardin, J.C., Varble, A. Raindrop Size Spectrum in Deep Convective Regions of the Americas. Atmosphere 2021, 12, 979. https://doi.org/10.3390/atmos12080979
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Montanyà, J., López, J. A., Morales Rodriguez, C. A., van der Velde, O. A., Fabró, F., Pineda, N., Navarro-González, J., Reglero, V., Neubert, T., Chanrion, O., Goodman, S. J., Østgaard, N., Ladino, A., Romero, D., Solà, G., Horta, R., & Freijó, M. (2021). A Simultaneous Observation of Lightning by ASIM, Colombia-Lightning Mapping Array, GLM, and ISS-LIS. Journal of Geophysical Research: Atmospheres, 126(6), e2020JD033735. https://doi.org/10.1029/2020JD033735
Recent presentations
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Improvement of liquid particle size distribution retrieval from dual-precipitation radar measurement using a deep neural network
European Radar Conference – ERAD 2024. Oral presentation.
Rome, Italy. 09/24 -
Leveraging FAIR principles for efficient management of meteorological radar data
European Radar Conference – ERAD 2024. Poster presentation
Rome, Italy. 09/24 -
Leveraging FAIR principles for efficient management of meteorological radar data
Scientific Python Conference – SciPy 2024. Poster presentation
Tacoma, United States. 06/24 -
Open science: reproducibility, access, data inclusion, codes, and methodologies used during scientific research to promote collaborative development and science at all levels of society.
I Simposio de la Red de Investigadores de Ciencias Atmosféricas en Colombia AtmosCol-2023. Oral presentation.
Armenia, Colombia. 11/23 -
Co-Chair, Session 12B: Airborne and Spaceborne Radars III: Spaceborne Radar Observations and Emerging Platforms
40th AMS Radar Conference
Minneapolis, United States. 08/23 -
Assessment of the GPM rainfall retrieval algorithm using in-situ measurements.
40th Conference on Radar Meteorology. Oral presentation
Minneapolis, United States. 08/23 -
Characterization of macrophysical characteristics of clouds and precipitation during the CAMP2EX field campaign.
American Geophysical Union - Fall meeting. Poster
New Orleans, United States. 12/21 -
Colombian National Weather Radar Network. Quantitative precipitation estimation advances.
Hydrometeorological applications of weather radars. Second edition. Oral presentation
Cartagena, Colombia. 09/19 -
Colombian National Weather Radar Network Evolution and Conformation. New challenges for a country highly affected by hydrometeorological events.
IV Radarization and Early Warning Systems Symposium of the Southern Cone. Oral presentation
Córdoba, Argentina.