About Me

I am a doctoral researcher at the Finnish Meteorological Institute. My research interests include nowcasting of hazardous weather phenomena and weather radar applications.

Education

• PhD student in Radar Meteorology, INAR, University of Helsinki, Helsinki, Finland
• 2019: M.Sc. (Tech.) in Computational Engineering, LUT University, Lappeenranta, Finland
• 2017: B.Sc. (Tech.) in Computational Engineering, LUT University, Lappeenranta, Finland

Publications

1. Ritvanen, J., Pulkkinen, S., Moisseev, D., and Nerini, D., 2024: Cell tracking -based framework for assessing nowcasting model skill in reproducing growth and decay of convective rainfall, Geoscientific Model Development Discussions, 1–38, https://doi.org/10.5194/gmd-2024-99.
2. Ritvanen, J., Harnist, B., Aldana, M., Mäkinen, T., and Pulkkinen, S., 2023: Advection-Free Convolutional Neural Network for Convective Rainfall Nowcasting, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 1654–1667, https://doi.org/10.1109/JSTARS.2023.3238016.
3. Ritvanen, J., O’Connor, E., Moisseev, D., Lehtinen, R., Tyynelä, J., and Thobois, L., 2022: Complementarity of wind measurements from co-located X-band weather radar and Doppler lidar, Atmospheric Measurement Techniques, 15, 6507–6519, https://doi.org/10.5194/amt-2022-193.
4. Mäkinen, T., Ritvanen, J., Pulkkinen, S., Weisshaupt, N., and Koistinen, J.: Bayesian Classification of Nonmeteorological Targets in Polarimetric Doppler Radar Measurements, Journal of Atmospheric and Oceanic Technology, 39, 1561–1578, https://doi.org/10.1175/JTECH-D-21-0177.1.
5. Sinclair, V. A., Ritvanen, J., Urbancic, G., Statnaia, I., Batrak, Y., Moisseev, D., and Kurppa, M., 2022: Boundary-layer height and surface stability at Hyytiälä, Finland, in ERA5 and observations. Atmospheric Measurement Techniques, 15, 3075–3103, https://doi.org/10.5194/amt-15-3075-2022.
6. Ritvanen, J., 2019: Wind Shear Detection from Doppler Weather Radar Data. Master’s Thesis. Lappeenranta-Lahti University of Technology LUT, 89 pp. http://urn.fi/URN:NBN:fi-fe2019090226299.

Talks

2. Ritvanen, J., Harnist, B., Pulkkinen, S., Aldana, M., Mäkinen, T., and Chandrasekar, V.: Lagrangian Convolutional Neural Network for Radar-Based Precipitation Nowcasting. 11th European Conference on Radar in Meteorology and Hydrology, Locarno, Switzerland, 2022. Presentation.
3. Ritvanen, J., Pulkkinen, S., and Moisseev, D.: Object-based tracking and nowcasting of gust fronts. EMS Annual Meeting 2021, online, EMS2021-44, https://doi.org/10.5194/ems2021-44, 2021.

Posters

1. Ritvanen, J., Moisseev, D., O’Connor, E., Thobois, L., Lehtinen, R., and Tyynelä, J.: Understanding the Complementarity of Wind Measurements from Co-located X-band Weather Radar and Doppler Lidar. 11th European Conference on Radar in Meteorology and Hydrology, Locarno, Switzerland, 2022. Poster.
2. Ritvanen, J., O’Connor, E., Moisseev, D., Thobois, L., Lehtinen, R., and Tyynelä, J.: Agreement and availability of Doppler velocity measurements from co-located Doppler Wind Lidar and X-band weather radar. The 30th International Laser Radar Conference (ILRC) virtual conference, online, 2022. Poster.