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A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation

A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_75cf43bad4604fd18762b8d0b7fa0149

A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation

About this item

Full title

A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation

Publisher

MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (2), p.164

Language

English

Formats

Publication information

Publisher

MDPI AG

More information

Scope and Contents

Contents

The task of precipitation nowcasting is significant in the operational weather forecast. The radar echo map extrapolation plays a vital role in this task. Recently, deep learning techniques such as Convolutional Recurrent Neural Network (ConvRNN) models have been designed to solve the task. These models, albeit performing much better than conventio...

Alternative Titles

Full title

A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_75cf43bad4604fd18762b8d0b7fa0149

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_75cf43bad4604fd18762b8d0b7fa0149

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs13020164

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