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Jean-François Rysman
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2020 – today
- 2023
- [j8]Giulia Panegrossi
, Leo Pio D'Adderio, Stavros Dafis
Warm Core and Deep Convection in Medicanes: A Passive Microwave-Based Investigation. Remote. Sens. 15(11): 2838 (2023) - 2022
- [j7]Jean-François Rysman
A Machine Learning Algorithm for Retrieving Cloud Top Height With Passive Microwave Radiometry. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j6]F. Joseph Turk
Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset. Remote. Sens. 13(12): 2264 (2021)
2010 – 2019
- 2019
- [j5]Léo Edel
Potential of Passive Microwave around 183 GHz for Snowfall Detection in the Arctic. Remote. Sens. 11(19): 2200 (2019) - 2018
- [j4]Paolo Sanò
The Passive Microwave Neural Network Precipitation Retrieval (PNPR) Algorithm for the CONICAL Scanning Global Microwave Imager (GMI) Radiometer. Remote. Sens. 10(7): 1122 (2018) - [j3]Jean-François Rysman, Giulia Panegrossi, Paolo Sanò
SLALOM: An All-Surface Snow Water Path Retrieval Algorithm for the GPM Microwave Imager. Remote. Sens. 10(8): 1278 (2018) - [c1]Giulia Panegrossi, Jean-François Rysman, Daniele Casella, Paolo Sanò, Anna Cinzia Marra, Stefano Dietrich
Exploitation of Gpm/Cloudsat Coincidence Dataset for Global Snowfall Retrieval. IGARSS 2018: 9323-9326 - 2017
- [j2]Jean-François Rysman, Chantal Claud
Monitoring Deep Convection and Convective Overshooting From 60° S to 60° N Using MHS: A Cloudsat/CALIPSO-Based Assessment. IEEE Geosci. Remote. Sens. Lett. 14(2): 159-163 (2017) - [j1]Giulia Panegrossi
CloudSat-Based Assessment of GPM Microwave Imager Snowfall Observation Capabilities. Remote. Sens. 9(12): 1263 (2017)
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