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Bias Correction of Tropical Cyclone Parameters in the ECMWF Ensemble Prediction System in Australia.

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Title: Bias Correction of Tropical Cyclone Parameters in the ECMWF Ensemble Prediction System in Australia.
Authors: Aijaz, Saima1, saima.aijaz@bom.gov.au, Kepert, Jeffrey D.1, Ye, Hua1, Huang, Zhendong2, Hawksford, Alister1
Source: Monthly Weather Review; Nov2019, Vol. 147 Issue 11, p4261-4285, 25p, 1 Diagram, 4 Charts, 16 Graphs, 3 Maps
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 139498718
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Bias Correction of Tropical Cyclone Parameters in the ECMWF Ensemble Prediction System in Australia.
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  Data: <searchLink fieldCode="AU" term="%22Aijaz%2C+Saima%22">Aijaz, Saima</searchLink><relatesTo>1</relatesTo>, <i>saima.aijaz@bom.gov.au</i><br /><searchLink fieldCode="AU" term="%22Kepert%2C+Jeffrey+D%2E%22">Kepert, Jeffrey D.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ye%2C+Hua%22">Ye, Hua</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Huang%2C+Zhendong%22">Huang, Zhendong</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Hawksford%2C+Alister%22">Hawksford, Alister</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Monthly+Weather+Review%22">Monthly Weather Review</searchLink>; Nov2019, Vol. 147 Issue 11, p4261-4285, 25p, 1 Diagram, 4 Charts, 16 Graphs, 3 Maps
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=139498718
RecordInfo BibRecord:
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        Value: 10.1175/MWR-D-18-0377.1
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 4261
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      – TitleFull: Bias Correction of Tropical Cyclone Parameters in the ECMWF Ensemble Prediction System in Australia.
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            NameFull: Aijaz, Saima
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            NameFull: Ye, Hua
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            NameFull: Huang, Zhendong
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            – D: 01
              M: 11
              Text: Nov2019
              Type: published
              Y: 2019
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              Value: 147
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