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Technical note: A simple feedforward artificial neural network for high-temporal-resolution rain eve...

Technical note: A simple feedforward artificial neural network for high-temporal-resolution rain eve...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f1512f8d8eea4d7dad83672296a758bd

Technical note: A simple feedforward artificial neural network for high-temporal-resolution rain event detection using signal attenuation from commercial microwave links

About this item

Full title

Technical note: A simple feedforward artificial neural network for high-temporal-resolution rain event detection using signal attenuation from commercial microwave links

Publisher

Katlenburg-Lindau: Copernicus GmbH

Journal title

Hydrology and earth system sciences, 2024-11, Vol.28 (23), p.5163-5171

Language

English

Formats

Publication information

Publisher

Katlenburg-Lindau: Copernicus GmbH

More information

Scope and Contents

Contents

Two simple feedforward neural networks (multilayer perceptrons – MLPs) are trained to detect rainfall events using signal attenuation from commercial microwave links (CMLs) as predictors and high-temporal-resolution reference data as the target. MLPGA is trained against nearby rain gauges, and MLPRA is trained against gauge-adjusted weather radar....

Alternative Titles

Full title

Technical note: A simple feedforward artificial neural network for high-temporal-resolution rain event detection using signal attenuation from commercial microwave links

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f1512f8d8eea4d7dad83672296a758bd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f1512f8d8eea4d7dad83672296a758bd

Other Identifiers

ISSN

1607-7938,1027-5606

E-ISSN

1607-7938

DOI

10.5194/hess-28-5163-2024

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