Forecasting Maximum Mechanism Temperature in Advanced Technology Microwave Sounder (ATMS) Data Using a Long Short-Term Memory (LSTM) Neural Network

Forecasting Maximum Mechanism Temperature in Advanced Technology Microwave Sounder (ATMS) Data Using a Long Short-Term Memory (LSTM) Neural Network

Among the monitored telemetry raw data record (RDR) parameters with the STAR Integrated/Validation System (ICVS), the Advanced Technology Microwave Sounder (ATMS) scan motor mechanism temperature is especially important because the instrument might be unavoidably damaged if the mechanism temperature...

Full description

Bibliographic Details
Main Authors: Warren Dean Porter, Banghua Yan, Ninghai Sun
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Atmosphere
Subjects:
Joint Polar Satellite System (JPSS)
Advanced Technology Microwave Sounder (ATMS)
long short-term memory (LSTM) networks
machine learning (ML)
anomaly forecasting
scan drive mechanism temperature
Online Access:https://www.mdpi.com/2073-4433/14/3/503

Internet

https://www.mdpi.com/2073-4433/14/3/503

Similar Items