BIBLIOS

  Ciências References Management System

Visitor Mode (Login)
Need help?


Back

Publication details

Document type
Conference papers

Document subtype
Full paper

Title
Evaluation of rainfall forecasts combining GNSS precipitable water vapor with ground and remote sensing meteorological variables in a neural network approach

Participants in the publication
Pedro José Benevides (Author)
João Catalão (Author)
Dep. Engenharia Geográfica, Geofísica e Energia
IDL - Instituto Dom Luiz
Pedro M. A. Miranda (Author)
Dep. Engenharia Geográfica, Geofísica e Energia
IDL - Instituto Dom Luiz
Giovanni Nico (Author)

Date of Publication
2018-10-09

Event
Remote Sensing of Clouds and the Atmosphere XXIII

Publication Identifiers
ISBN - 9781510621558,9781510621565

Address
Berlin, Germany

Publisher
SPIE

Document Identifiers
DOI - https://doi.org/10.1117/12.2325120
URL - http://dx.doi.org/10.1117/12.2325120

Rankings
SCIMAGO Q4 (2018) - 0.24 - Electrical and Electronic Engineering


Export

APA
Pedro José Benevides, João Catalão, Pedro M. A. Miranda, Giovanni Nico, (2018). Evaluation of rainfall forecasts combining GNSS precipitable water vapor with ground and remote sensing meteorological variables in a neural network approach. Remote Sensing of Clouds and the Atmosphere XXIII, -

IEEE
Pedro José Benevides, João Catalão, Pedro M. A. Miranda, Giovanni Nico, "Evaluation of rainfall forecasts combining GNSS precipitable water vapor with ground and remote sensing meteorological variables in a neural network approach" in Remote Sensing of Clouds and the Atmosphere XXIII, Berlin, Germany, 2018, pp. -, doi: 10.1117/12.2325120

BIBTEX
@InProceedings{39224, author = {Pedro José Benevides and João Catalão and Pedro M. A. Miranda and Giovanni Nico}, title = {Evaluation of rainfall forecasts combining GNSS precipitable water vapor with ground and remote sensing meteorological variables in a neural network approach}, booktitle = {Remote Sensing of Clouds and the Atmosphere XXIII}, year = 2018, pages = {-}, address = {Berlin, Germany}, publisher = {SPIE} }