Near-real-time GNSS tropospheric IWV monitoring system for South America-Reference-Cited by-同舟云学术

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Near-real-time GNSS tropospheric IWV monitoring system for South America

Published:2023-03-28 Issue:2 Volume:27 Page:
ISSN:1080-5370
Container-title:GPS Solutions
language:en
Short-container-title:GPS Solut

Author:

Aragón Paz Juan Manuel,Mendoza Luciano Pedro Oscar,Fernández Laura Isabel

Funder

Consejo Nacional de Investigaciones Científicas y Técnicas

Universidad Nacional de La Plata

Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s10291-023-01436-2.pdf

Reference56 articles.

1. Aumann HH et al (2003) AIRS/AMSU/HSB on the Aqua mission: design, science objectives, data products, and processing systems. IEEE Trans Geosci Remote Sens 41(2):253–264. https://doi.org/10.1109/TGRS.2002.808356

2. Avanzato R, Beritelli F (2020) An innovative acoustic rain gauge based on convolutional neural networks. Information 11(4):183. https://doi.org/10.3390/info11040183

3. Benevides P, Catalao J, Nico G (2019) Neural network approach to forecast hourly intense rainfall using gnss precipitable water vapor and meteorological sensors. Remote Sens 11(8):966. https://doi.org/10.3390/rs11080966

4. Bevis M, Businger S, Herring TA, Rocken C, Anthes RA, Ware RH (1992) GPS meteorology: remote sensing of atmospheric water vapor using the global positioning system. J Geophys Res 97(D14):15787–15801. https://doi.org/10.1029/92JD01517

5. Bianchi CE, Mendoza LPO, Fernández LI, Natali MP, Meza AM, Moirano JF (2016) Multi-year GNSS monitoring of atmospheric IWV over Central and South America for climate studies, Ann Geophys 34:623–639. https://doi.org/10.5194/angeo-34-623-2016

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