Prediction of Synoptic-Scale Sea Level Pressure Over the Indian Monsoon Region Using Deep Learning

The synoptic-scale (3-7 days) variability is a dominant contributor to the Indian summer monsoon (ISM) seasonal precipitation. An accurate prediction of ISM precipitation by dynamical or statistical model remains a challenge. Here, we show that the sea level pressure (SLP) can be used as a proxy to...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2022, Vol.19, p.1-5
Hauptverfasser:	Sinha, Aryaman, Gupta, Mayuna, Srujan, K. S. S. Sai, Kodamana, Hariprasad, Sandeep, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Atmospheric circulation Atmospheric modeling Computational modeling Convolutional long short-term memory (ConvLSTM) Deep learning Fluctuations Lead time Long short-term memory Low pressure Mathematical models monsoon Monsoon precipitation Monsoons Numerical prediction Numerical weather forecasting Precipitation Prediction models Predictive models Pressure Sea level Sea level pressure sea level pressure (SLP) Seasonal precipitation Statistical models Summer monsoon Time series analysis Training Weather forecasting
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