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Evaluation of deep learning models for Australian climate extremes: prediction of streamflow and flo...

Evaluation of deep learning models for Australian climate extremes: prediction of streamflow and flo...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3084092455

Evaluation of deep learning models for Australian climate extremes: prediction of streamflow and floods

About this item

Full title

Evaluation of deep learning models for Australian climate extremes: prediction of streamflow and floods

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-07

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

In recent years, climate extremes such as floods have created significant environmental and economic hazards for Australia, causing damage to the environment and economy and losses of human and animal lives. An efficient method of forecasting floods is crucial to limit this damage. Techniques for flood prediction are currently based on hydrological...

Alternative Titles

Full title

Evaluation of deep learning models for Australian climate extremes: prediction of streamflow and floods

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3084092455

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3084092455

Other Identifiers

E-ISSN

2331-8422

How to access this item