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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors

Participants in the publication
Pedro Benevides (Author)
Joao Catalao (Author)
Dep. Engenharia Geográfica, Geofísica e Energia
 IDL
 Giovanni Nico (Author)

Date of Publication
2019-04-23

Where published
Remote Sensing

Publication Identifiers
ISSN - 2072-4292

Publisher
MDPI AG

Volume
11
Number
8

Starting page
966

Document Identifiers
DOI - https://doi.org/10.3390/rs11080966
URL - http://dx.doi.org/10.3390/rs11080966

Rankings
SCIMAGO Q1 (2019) - 1.422 - Earth and Planetary Sciences (miscellaneous)
SCOPUS Q1 (2019) - 6.1 - General Earth and Planetary Sciences


Export

APA
Pedro Benevides, Joao Catalao, Giovanni Nico, (2019). Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors. Remote Sensing, 11, ISSN 2072-4292. eISSN . http://dx.doi.org/10.3390/rs11080966

IEEE
Pedro Benevides, Joao Catalao, Giovanni Nico, "Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors" in Remote Sensing, vol. 11, 2019. 10.3390/rs11080966

BIBTEX
@article{39498, author = {Pedro Benevides and Joao Catalao and Giovanni Nico}, title = {Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors}, journal = {Remote Sensing}, year = 2019, volume = 11 }