Exploitation of GPM/CloudSat coincidence dataset for global snowfall retrieval
Document Type
Conference Proceeding
Publication Date
10-31-2018
Abstract
© 2018 IEEE. The assessment of the actual observational capabilities of snowfall by spaceborne microwave radiometers is crucial to develop and improve precipitation retrieval algorithms. Exploiting coincident spaceborne active and passive microwave sensor datasets can effectively enhance our understanding of high-frequency microwave channels sensitivity to snowfall. This study illustrates the results of the analysis of matched Global Precipitation Measurement (GPM) Microwave Imager (GMI) and CloudSat Cloud Profiling Radar (CPR) snowfall observations (mainly found at latitudes between 55° and 65°) providing insights on GMI multi-frequency signals associated with different snowfall types. These findings are used to develop a new algorithm to retrieve snow water path associated to surface snowfall from GMI multichannel measurements.
Publication Title
International Geoscience and Remote Sensing Symposium (IGARSS)
Recommended Citation
Panegrossi, G.,
Rysman, J.,
Casella, D.,
Sanò, P.,
Marra, A.,
Dietrich, S.,
&
Kulie, M.
(2018).
Exploitation of GPM/CloudSat coincidence dataset for global snowfall retrieval.
International Geoscience and Remote Sensing Symposium (IGARSS),
2018-July, 9323-9326.
http://doi.org/10.1109/IGARSS.2018.8518297
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10628