Dirigente di ricerca - Roma

Giulia Panegrossi

Profile photo

Research topic

Cameo

Keywords

Satellite Meteorology, Clouds and Precipitation, Extremes, Microwave radiometry

Email:

giulia.panegrossi@cnr.it

Phone:

+39 064548-8274

Social media

Catalogs and publications

Selected publications

Miglietta M. M., González-Alemán J. J., Panegrossi G., et al., Defining Medicanes: Bridging the Knowledge Gap Between Tropical and Extratropical Cyclones in the Mediterranean, Bull. Amer. Meteor. Soc., BAMS-D-24-0289.1, https://doi.org/10.1175/BAMS-D-24-0289.1, 2025. Kubota, T., C. et al., 2025: Advancing Global Precipitation Data Products: Recommendations from the International Precipitation Working Group. Bull. Amer. Meteor. Soc., https://doi.org/10.1175/BAMS-D-25-0011.1, 2025 Velden C., J. et al., Recent Innovations in Satellite-Based Applications and their Impacts on Tropical Cyclone Analyses and Forecasts, JEMS, https://doi.org/10.1016/j.jemets.2025.100011, 2025 Di Francesca V., LP D'Adderio, P. Sanò, J-F Rysman, D. Casella, G. Panegrossi, Passive microwave-based diagnostics of medicanes over the period 2000–2021, Atmospheric Research, , https://doi.org/10.1016/j.atmosres.2025.107922, 2025 Camplani, A.; Sanò, P.; Casella, D.; Panegrossi, G.; Battaglia, A. Arctic Weather Satellite Sensitivity to Supercooled Liquid Water in Snowfall Conditions. Remote Sens. , 16, 4164. https://doi.org/10.3390/rs16224164, 2024 Panegrossi, G. Le.P. D’Adderio, S. Dafis, J.-F. Rysman, D. Casella, S. Dietrich and P. Sanò, Warm core and deep convection in Medicanes: a passive microwave-based investigation, Rem. Sens., 15(11), 2838 DOi: 10.3390/rs15112838, 2023, D’Adderio, L. D. Casella, S. Dietrich,. P. Sanò, G. Panegrossi, GPM-CO observations of Medicane Ianos: comparative analysis of precipitation structure between development and mature phase, Atmos. Res., https://doi.org/10.1016/j.atmosres.2022.106174, 2022 Panegrossi G., J-F. Rysman, D. Casella, A. C. Marra, P. Sanò, and M. S. Kulie, CloudSat-based assessment of GPM Microwave Imager snowfall observation capabilities, Rem. Sensing, 9(12), 1263; doi:10.3390/rs9121263, 2017