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Monthly Reservoir Inflow Forecasting for Dry Period Using Teleconnection Indices: A Statistical Ense...

Monthly Reservoir Inflow Forecasting for Dry Period Using Teleconnection Indices: A Statistical Ense...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f6c1b3a4897a41f09c5dab9cdc8f9001

Monthly Reservoir Inflow Forecasting for Dry Period Using Teleconnection Indices: A Statistical Ensemble Approach

About this item

Full title

Monthly Reservoir Inflow Forecasting for Dry Period Using Teleconnection Indices: A Statistical Ensemble Approach

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2020-05, Vol.10 (10), p.3470

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Reliable long-range reservoir inflow forecast is essential to successfully manage water supply from reservoirs. This study aims to develop statistical reservoir inflow forecast models for a reservoir watershed, based on hydroclimatic teleconnection between monthly reservoir inflow and climatic variables. Predictability of such a direct relationship...

Alternative Titles

Full title

Monthly Reservoir Inflow Forecasting for Dry Period Using Teleconnection Indices: A Statistical Ensemble Approach

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f6c1b3a4897a41f09c5dab9cdc8f9001

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f6c1b3a4897a41f09c5dab9cdc8f9001

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app10103470

How to access this item