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Tracking clouds and rain with low cost GPS chips
Water vapour in the atmosphere slows down Global Navigation Satellite System (GNSS) signals. This observation has been used to infer
precipitable water vapor (PWV) content in the atmosphere since the 1990's.
It is feasible to track clouds and to predict rainfall using
a network of GNSS receivers and such networks are available in
many developed countries. This project aims to develop an
accurate system for PWV estimation at a fraction of the cost of
current systems using low
cost GNSS receivers. This will allow for
network densification and use in developing
economies.
precipitable water vapor (PWV) content in the atmosphere since the 1990's.
It is feasible to track clouds and to predict rainfall using
a network of GNSS receivers and such networks are available in
many developed countries. This project aims to develop an
accurate system for PWV estimation at a fraction of the cost of
current systems using low
cost GNSS receivers. This will allow for
network densification and use in developing
economies.
Japan
Saji Hameed, Eugenio Realini, Shinya Ishida
Saji Hameed is an atmospheric scientist, presently in the faculty of the University of Aizu, Fukushima, Japan
Eugenio Realini has a PhD in geomatics and currently works at GReD s.r.l at Como, Italy. He is the author of the open source GoGPS software
Shinya Ishida is a Masters student of Computer Sciences at the University of Aizu, Fukushima, Japan
Eugenio Realini has a PhD in geomatics and currently works at GReD s.r.l at Como, Italy. He is the author of the open source GoGPS software
Shinya Ishida is a Masters student of Computer Sciences at the University of Aizu, Fukushima, Japan
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