Land water vapor retrieval for AMSR2 using a deep learning method

N Jiang, Y Xu, T Xu, S Li, Z Gao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In precipitable water vapor (PWV) retrieval, results with high spatial coverage but low
temporal resolution can be achieved through satellite-borne sensors, such as the Advanced …

A machine learning-based method for wind fields forecasting utilizing GNSS radio occultation data

X Chu, W Bai, Y Sun, W Li, C Liu, H Song - IEEE Access, 2022 - ieeexplore.ieee.org
With the development of computer technology and expanding environmental issues,
machine learning has received more and more attention in the field of weather forecasting …

Satellite-based retrieval of precipitable water vapor over land by using a neural network approach

S Bonafoni, V Mattioli, P Basili, P Ciotti… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
A method based on neural networks is proposed to retrieve integrated precipitable water
vapor (IPWV) over land from brightness temperatures measured by the Advanced …

Comparison of different machine learning approaches for tropospheric profiling based on COSMIC-2 data

E Lasota - Earth, Planets and Space, 2021 - Springer
Precise and reliable information on the tropospheric temperature and water vapor profiles
play a key role in weather and climate studies. Among the sensors supporting the …

Natural hazard monitoring with global navigation satellite systems (GNSS)

R Hohensinn, M Aichinger-Rosenberger… - Space geodesy for …, 2024 - iris.uniroma1.it
For more than three decades, Global Navigation Satellite Systems (GNSS) have been
essential sensors for monitoring ground deformations and the state of the atmosphere …

Retrieval of Atmospheric Water Vapor Profiles From COSMIC-2 Radio Occultation Constellation Using Machine Learning

S Hooda, M Gupta, R Singh… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This study uses data from January 2020 to July 2022 to develop an artificial neural network
(ANN)-based model to retrieve atmospheric water vapor (Wv) pressure profiles from …

Neural networks for arctic atmosphere sounding from radio occultation data

F Pelliccia, F Pacifici, S Bonafoni… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
This paper illustrates a procedure for the retrieval of tropospheric profiles (temperature,
pressure, and humidity) using only refractivity profiles coming from Global Positioning …

Atmospheric profiling in the inter-tropical ocean area based on neural network approach using GPS radio occultations

F Pelliccia, S Bonafoni, P Basili, P Ciotti… - The Open …, 2010 - benthamopen.com
In this study we have proposed a method based on neural networks to retrieve refractivity,
temperature, pressure and humidity profiles by using FORMOSAT-3/COSMIC GPS radio …

Neural-network retrieval of integrated precipitable water vapor over land from satellite microwave radiometer

P Basili, S Bonafoni, V Mattioli… - 2010 11th Specialist …, 2010 - ieeexplore.ieee.org
A method based on neural networks is proposed to retrieve precipitable water vapor (IPWV)
over land from brightness temperatures measured by the Advanced Microwave Scanning …

Comparison of different machine learning approaches for tropospheric profiling based on COSMIC-2 data

L Elżbieta - Earth, Planets and Space (Online), 2021 - search.proquest.com
Precise and reliable information on the tropospheric temperature and water vapor profiles
play a key role in weather and climate studies. Among the sensors supporting the …