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Blend global analyses into the cyclic convective-scale data assimilation system to improve short-ter...

Blend global analyses into the cyclic convective-scale data assimilation system to improve short-ter...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2705429648

Blend global analyses into the cyclic convective-scale data assimilation system to improve short-term QPF

About this item

Full title

Blend global analyses into the cyclic convective-scale data assimilation system to improve short-term QPF

Publisher

Taiwan: 中華民國地球科學學會

Journal title

TAO : Terrestrial, atmospheric, and oceanic sciences, 2021-10, Vol.32 (5), p.633-647

Language

English

Formats

Publication information

Publisher

Taiwan: 中華民國地球科學學會

More information

Scope and Contents

Contents

In this study, we investigate the feasibility of using a blending scheme to combine global coarse-resolution analysis with a high-resolution limited-area model. By regularly introducing large-scale information, we intend to correct accumulated forecast error in a high-resolution model due to continuous data assimilation cycles. The impact of incorp...

Alternative Titles

Full title

Blend global analyses into the cyclic convective-scale data assimilation system to improve short-term QPF

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2705429648

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2705429648

Other Identifiers

ISSN

1017-0839

E-ISSN

2311-7680

DOI

10.3319/TAO.2021.09.13.01

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