Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences

MW Gardner, SR Dorling - Atmospheric environment, 1998 - Elsevier
Artificial neural networks are appearing as useful alternatives to traditional statistical
modelling techniques in many scientific disciplines. This paper presents a general …

A review of surface-based microwave and millimeter-wave radiometric remote sensing of the troposphere

ER Westwater, S Crewell… - URSI Radio Science …, 2004 - ieeexplore.ieee.org
Surface-based radiometric sensing of tropospheric parameters has a long history of
providing useful measurements of temperature, water vapor, and cloud liquid. In this review …

[HTML][HTML] One-day wave forecasts based on artificial neural networks

SN Londhe, V Panchang - Journal of Atmospheric and …, 2006 - journals.ametsoc.org
Sophisticated wave models like the Wave Model (WAM) and Simulating Waves Nearshore
(SWAN)/WAVEWATCH are used nowadays along with atmospheric models to produce …

A deep learning approach to improve the retrieval of temperature and humidity profiles from a ground-based microwave radiometer

X Yan, C Liang, Y Jiang, N Luo… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The ground-based microwave radiometer (MWR) retrieves atmospheric profiles with a high
temporal resolution for temperature and humidity up to a height of 10 km. Such profiles are …

Low level jets over the southern North Sea

D Wagner, G Steinfeld, B Witha, H Wurps, J Reuder - 2019 - bora.uib.no
An extensive analysis of Low Level Jets (LLJs) over the Southern North Sea is presented.
The study is based on observational data from a wind LiDAR and a passive microwave …

An improved method combining ANN and 1D-Var for the retrieval of atmospheric temperature profiles from FY-4A/GIIRS hyperspectral data

P Huang, Q Guo, C Han, C Zhang, T Yang, S Huang - Remote Sensing, 2021 - mdpi.com
In our study, a retrieval method of temperature profiles is proposed which combines an
improved one-dimensional variational algorithm (1D-Var) and artificial neural network …

Retrieval of atmospheric temperature and humidity profiles over a tropical coastal station from ground-based Microwave Radiometer using deep learning technique

R Renju, CS Raju, R Swathi, VG Milan - Journal of Atmospheric and Solar …, 2023 - Elsevier
Ground-based multi-frequency microwave radiometer Profiler (Microwave Radiometer
Profiler-MRP) provides valuable information on the altitude distribution of atmospheric …

Microwave radiometer for cloud carthography: A 22-channel ground-based microwave radiometer for atmospheric research

S Crewell, H Czekala, U Löhnert, C Simmer… - Radio …, 2001 - ieeexplore.ieee.org
A 22-channel Microwave Radiometer for Cloud Carthography (MICCY) for the profiling of
tropospheric temperature, humidity, and cloud liquid water has been developed. The …

Application of the deep neural network in retrieving the atmospheric temperature and humidity profiles from the Microwave Humidity and Temperature Sounder …

Q He, Z Wang, J Li - Sensors, 2021 - mdpi.com
The shallow neural network (SNN) is a popular algorithm in atmospheric parameters
retrieval from microwave remote sensing. However, the deep neural network (DNN) has a …

A combined natural orthogonal functions/neural network technique for the radiometric estimation of atmospheric profiles

FD Frate, G Schiavon - Radio Science, 1998 - Wiley Online Library
An inversion technique is presented for retrieving vertical profiles of atmospheric
temperature and vapor from the brightness temperatures measured by a ground‐based …