Blending of Global and Regional Analyses with a Spatial Filter: Application to Typhoon Prediction over the Western North Pacific Ocean
A blending method to merge the NCEP global analysis with the regional analysis from the WRF variational data assimilation system is implemented using a spatial filter for the purpose of initializing the Typhoon WRF (TWRF) Model, which has been in operation at Taiwan's Central Weather Bureau (CW...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ling-Feng Hsiao [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Weather and forecasting - Boston, Mass. : AMS, 1986, 30(2015), 3, Seite 754-770 |
|---|---|
| Übergeordnetes Werk: |
volume:30 ; year:2015 ; number:3 ; pages:754-770 |
| Links: |
|---|
| DOI / URN: |
10.1175/WAF-D-14-00047.1 |
|---|
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OLC1957751991 |
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| 520 | |a A blending method to merge the NCEP global analysis with the regional analysis from the WRF variational data assimilation system is implemented using a spatial filter for the purpose of initializing the Typhoon WRF (TWRF) Model, which has been in operation at Taiwan's Central Weather Bureau (CWB) since 2010. The blended analysis is weighted toward the NCEP global analysis for scales greater than the cutoff length of 1200 km, and is weighted toward the WRF regional analysis for length below that. TWRF forecast experiments on 19 typhoons from July to October 2013 over the western North Pacific Ocean show that the largescale analysis from NCEP GFS is superior to that of the regional analysis, which significantly improves the typhoon track forecasts. On the other hand, the regional WRF analysis provides a well-developed typhoon structure and more accurately captures the influence of the Taiwan topography on the typhoon circulation. As a result, the blended analysis takes advantage of the large-scale analysis from the NCEP global analysis and the detailed mesoscale analysis from the regional WRF analysis. In additional to the improved track forecast, the blended analysis also provides more accurate rainfall forecasts for typhoons affecting Taiwan. Because of the improved performance, the blending method has been implemented in the CWB operational TWRF typhoon prediction system. | ||
| 650 | 4 | |a Cyclones | |
| 650 | 4 | |a Taiwan | |
| 650 | 4 | |a Vortices | |
| 650 | 4 | |a Boundaries | |
| 650 | 4 | |a Studies | |
| 650 | 4 | |a Meteorology | |
| 650 | 4 | |a Rain | |
| 650 | 4 | |a Data assimilation | |
| 700 | 0 | |a Xiang-Yu Huang |4 oth | |
| 700 | 0 | |a Ying-Hwa Kuo |4 oth | |
| 700 | 0 | |a Der-Song Chen |4 oth | |
| 700 | 0 | |a Hongli Wang |4 oth | |
| 700 | 0 | |a Chin-Cheng Tsai |4 oth | |
| 700 | 0 | |a Tien-Chiang Yeh |4 oth | |
| 700 | 0 | |a Jing-Shan Hong |4 oth | |
| 700 | 0 | |a Chin-Tzu Fong |4 oth | |
| 700 | 0 | |a Cheng-Shang Lee |4 oth | |
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10.1175/WAF-D-14-00047.1 doi PQ20160617 (DE-627)OLC1957751991 (DE-599)GBVOLC1957751991 (PRQ)c2096-e7f0e0499e261aabcd017f8fe7cce26b979bc38c843e06a9653499fd4e1e99810 (KEY)0161211520150000030000300754blendingofglobalandregionalanalyseswithaspatialfil DE-627 ger DE-627 rakwb eng 550 DNB 38.80 bkl Ling-Feng Hsiao verfasserin aut Blending of Global and Regional Analyses with a Spatial Filter: Application to Typhoon Prediction over the Western North Pacific Ocean 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A blending method to merge the NCEP global analysis with the regional analysis from the WRF variational data assimilation system is implemented using a spatial filter for the purpose of initializing the Typhoon WRF (TWRF) Model, which has been in operation at Taiwan's Central Weather Bureau (CWB) since 2010. The blended analysis is weighted toward the NCEP global analysis for scales greater than the cutoff length of 1200 km, and is weighted toward the WRF regional analysis for length below that. TWRF forecast experiments on 19 typhoons from July to October 2013 over the western North Pacific Ocean show that the largescale analysis from NCEP GFS is superior to that of the regional analysis, which significantly improves the typhoon track forecasts. On the other hand, the regional WRF analysis provides a well-developed typhoon structure and more accurately captures the influence of the Taiwan topography on the typhoon circulation. As a result, the blended analysis takes advantage of the large-scale analysis from the NCEP global analysis and the detailed mesoscale analysis from the regional WRF analysis. In additional to the improved track forecast, the blended analysis also provides more accurate rainfall forecasts for typhoons affecting Taiwan. Because of the improved performance, the blending method has been implemented in the CWB operational TWRF typhoon prediction system. Cyclones Taiwan Vortices Boundaries Studies Meteorology Rain Data assimilation Xiang-Yu Huang oth Ying-Hwa Kuo oth Der-Song Chen oth Hongli Wang oth Chin-Cheng Tsai oth Tien-Chiang Yeh oth Jing-Shan Hong oth Chin-Tzu Fong oth Cheng-Shang Lee oth Enthalten in Weather and forecasting Boston, Mass. : AMS, 1986 30(2015), 3, Seite 754-770 (DE-627)129242616 (DE-600)58730-8 (DE-576)330410768 0882-8156 nnns volume:30 year:2015 number:3 pages:754-770 http://dx.doi.org/10.1175/WAF-D-14-00047.1 Volltext http://search.proquest.com/docview/1689848196 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_601 38.80 AVZ AR 30 2015 3 754-770 |
| spelling |
10.1175/WAF-D-14-00047.1 doi PQ20160617 (DE-627)OLC1957751991 (DE-599)GBVOLC1957751991 (PRQ)c2096-e7f0e0499e261aabcd017f8fe7cce26b979bc38c843e06a9653499fd4e1e99810 (KEY)0161211520150000030000300754blendingofglobalandregionalanalyseswithaspatialfil DE-627 ger DE-627 rakwb eng 550 DNB 38.80 bkl Ling-Feng Hsiao verfasserin aut Blending of Global and Regional Analyses with a Spatial Filter: Application to Typhoon Prediction over the Western North Pacific Ocean 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A blending method to merge the NCEP global analysis with the regional analysis from the WRF variational data assimilation system is implemented using a spatial filter for the purpose of initializing the Typhoon WRF (TWRF) Model, which has been in operation at Taiwan's Central Weather Bureau (CWB) since 2010. The blended analysis is weighted toward the NCEP global analysis for scales greater than the cutoff length of 1200 km, and is weighted toward the WRF regional analysis for length below that. TWRF forecast experiments on 19 typhoons from July to October 2013 over the western North Pacific Ocean show that the largescale analysis from NCEP GFS is superior to that of the regional analysis, which significantly improves the typhoon track forecasts. On the other hand, the regional WRF analysis provides a well-developed typhoon structure and more accurately captures the influence of the Taiwan topography on the typhoon circulation. As a result, the blended analysis takes advantage of the large-scale analysis from the NCEP global analysis and the detailed mesoscale analysis from the regional WRF analysis. In additional to the improved track forecast, the blended analysis also provides more accurate rainfall forecasts for typhoons affecting Taiwan. Because of the improved performance, the blending method has been implemented in the CWB operational TWRF typhoon prediction system. Cyclones Taiwan Vortices Boundaries Studies Meteorology Rain Data assimilation Xiang-Yu Huang oth Ying-Hwa Kuo oth Der-Song Chen oth Hongli Wang oth Chin-Cheng Tsai oth Tien-Chiang Yeh oth Jing-Shan Hong oth Chin-Tzu Fong oth Cheng-Shang Lee oth Enthalten in Weather and forecasting Boston, Mass. : AMS, 1986 30(2015), 3, Seite 754-770 (DE-627)129242616 (DE-600)58730-8 (DE-576)330410768 0882-8156 nnns volume:30 year:2015 number:3 pages:754-770 http://dx.doi.org/10.1175/WAF-D-14-00047.1 Volltext http://search.proquest.com/docview/1689848196 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_601 38.80 AVZ AR 30 2015 3 754-770 |
| allfields_unstemmed |
10.1175/WAF-D-14-00047.1 doi PQ20160617 (DE-627)OLC1957751991 (DE-599)GBVOLC1957751991 (PRQ)c2096-e7f0e0499e261aabcd017f8fe7cce26b979bc38c843e06a9653499fd4e1e99810 (KEY)0161211520150000030000300754blendingofglobalandregionalanalyseswithaspatialfil DE-627 ger DE-627 rakwb eng 550 DNB 38.80 bkl Ling-Feng Hsiao verfasserin aut Blending of Global and Regional Analyses with a Spatial Filter: Application to Typhoon Prediction over the Western North Pacific Ocean 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A blending method to merge the NCEP global analysis with the regional analysis from the WRF variational data assimilation system is implemented using a spatial filter for the purpose of initializing the Typhoon WRF (TWRF) Model, which has been in operation at Taiwan's Central Weather Bureau (CWB) since 2010. The blended analysis is weighted toward the NCEP global analysis for scales greater than the cutoff length of 1200 km, and is weighted toward the WRF regional analysis for length below that. TWRF forecast experiments on 19 typhoons from July to October 2013 over the western North Pacific Ocean show that the largescale analysis from NCEP GFS is superior to that of the regional analysis, which significantly improves the typhoon track forecasts. On the other hand, the regional WRF analysis provides a well-developed typhoon structure and more accurately captures the influence of the Taiwan topography on the typhoon circulation. As a result, the blended analysis takes advantage of the large-scale analysis from the NCEP global analysis and the detailed mesoscale analysis from the regional WRF analysis. In additional to the improved track forecast, the blended analysis also provides more accurate rainfall forecasts for typhoons affecting Taiwan. Because of the improved performance, the blending method has been implemented in the CWB operational TWRF typhoon prediction system. Cyclones Taiwan Vortices Boundaries Studies Meteorology Rain Data assimilation Xiang-Yu Huang oth Ying-Hwa Kuo oth Der-Song Chen oth Hongli Wang oth Chin-Cheng Tsai oth Tien-Chiang Yeh oth Jing-Shan Hong oth Chin-Tzu Fong oth Cheng-Shang Lee oth Enthalten in Weather and forecasting Boston, Mass. : AMS, 1986 30(2015), 3, Seite 754-770 (DE-627)129242616 (DE-600)58730-8 (DE-576)330410768 0882-8156 nnns volume:30 year:2015 number:3 pages:754-770 http://dx.doi.org/10.1175/WAF-D-14-00047.1 Volltext http://search.proquest.com/docview/1689848196 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_601 38.80 AVZ AR 30 2015 3 754-770 |
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10.1175/WAF-D-14-00047.1 doi PQ20160617 (DE-627)OLC1957751991 (DE-599)GBVOLC1957751991 (PRQ)c2096-e7f0e0499e261aabcd017f8fe7cce26b979bc38c843e06a9653499fd4e1e99810 (KEY)0161211520150000030000300754blendingofglobalandregionalanalyseswithaspatialfil DE-627 ger DE-627 rakwb eng 550 DNB 38.80 bkl Ling-Feng Hsiao verfasserin aut Blending of Global and Regional Analyses with a Spatial Filter: Application to Typhoon Prediction over the Western North Pacific Ocean 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A blending method to merge the NCEP global analysis with the regional analysis from the WRF variational data assimilation system is implemented using a spatial filter for the purpose of initializing the Typhoon WRF (TWRF) Model, which has been in operation at Taiwan's Central Weather Bureau (CWB) since 2010. The blended analysis is weighted toward the NCEP global analysis for scales greater than the cutoff length of 1200 km, and is weighted toward the WRF regional analysis for length below that. TWRF forecast experiments on 19 typhoons from July to October 2013 over the western North Pacific Ocean show that the largescale analysis from NCEP GFS is superior to that of the regional analysis, which significantly improves the typhoon track forecasts. On the other hand, the regional WRF analysis provides a well-developed typhoon structure and more accurately captures the influence of the Taiwan topography on the typhoon circulation. As a result, the blended analysis takes advantage of the large-scale analysis from the NCEP global analysis and the detailed mesoscale analysis from the regional WRF analysis. In additional to the improved track forecast, the blended analysis also provides more accurate rainfall forecasts for typhoons affecting Taiwan. Because of the improved performance, the blending method has been implemented in the CWB operational TWRF typhoon prediction system. Cyclones Taiwan Vortices Boundaries Studies Meteorology Rain Data assimilation Xiang-Yu Huang oth Ying-Hwa Kuo oth Der-Song Chen oth Hongli Wang oth Chin-Cheng Tsai oth Tien-Chiang Yeh oth Jing-Shan Hong oth Chin-Tzu Fong oth Cheng-Shang Lee oth Enthalten in Weather and forecasting Boston, Mass. : AMS, 1986 30(2015), 3, Seite 754-770 (DE-627)129242616 (DE-600)58730-8 (DE-576)330410768 0882-8156 nnns volume:30 year:2015 number:3 pages:754-770 http://dx.doi.org/10.1175/WAF-D-14-00047.1 Volltext http://search.proquest.com/docview/1689848196 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_601 38.80 AVZ AR 30 2015 3 754-770 |
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10.1175/WAF-D-14-00047.1 doi PQ20160617 (DE-627)OLC1957751991 (DE-599)GBVOLC1957751991 (PRQ)c2096-e7f0e0499e261aabcd017f8fe7cce26b979bc38c843e06a9653499fd4e1e99810 (KEY)0161211520150000030000300754blendingofglobalandregionalanalyseswithaspatialfil DE-627 ger DE-627 rakwb eng 550 DNB 38.80 bkl Ling-Feng Hsiao verfasserin aut Blending of Global and Regional Analyses with a Spatial Filter: Application to Typhoon Prediction over the Western North Pacific Ocean 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A blending method to merge the NCEP global analysis with the regional analysis from the WRF variational data assimilation system is implemented using a spatial filter for the purpose of initializing the Typhoon WRF (TWRF) Model, which has been in operation at Taiwan's Central Weather Bureau (CWB) since 2010. The blended analysis is weighted toward the NCEP global analysis for scales greater than the cutoff length of 1200 km, and is weighted toward the WRF regional analysis for length below that. TWRF forecast experiments on 19 typhoons from July to October 2013 over the western North Pacific Ocean show that the largescale analysis from NCEP GFS is superior to that of the regional analysis, which significantly improves the typhoon track forecasts. On the other hand, the regional WRF analysis provides a well-developed typhoon structure and more accurately captures the influence of the Taiwan topography on the typhoon circulation. As a result, the blended analysis takes advantage of the large-scale analysis from the NCEP global analysis and the detailed mesoscale analysis from the regional WRF analysis. In additional to the improved track forecast, the blended analysis also provides more accurate rainfall forecasts for typhoons affecting Taiwan. Because of the improved performance, the blending method has been implemented in the CWB operational TWRF typhoon prediction system. Cyclones Taiwan Vortices Boundaries Studies Meteorology Rain Data assimilation Xiang-Yu Huang oth Ying-Hwa Kuo oth Der-Song Chen oth Hongli Wang oth Chin-Cheng Tsai oth Tien-Chiang Yeh oth Jing-Shan Hong oth Chin-Tzu Fong oth Cheng-Shang Lee oth Enthalten in Weather and forecasting Boston, Mass. : AMS, 1986 30(2015), 3, Seite 754-770 (DE-627)129242616 (DE-600)58730-8 (DE-576)330410768 0882-8156 nnns volume:30 year:2015 number:3 pages:754-770 http://dx.doi.org/10.1175/WAF-D-14-00047.1 Volltext http://search.proquest.com/docview/1689848196 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_601 38.80 AVZ AR 30 2015 3 754-770 |
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Ling-Feng Hsiao @@aut@@ Xiang-Yu Huang @@oth@@ Ying-Hwa Kuo @@oth@@ Der-Song Chen @@oth@@ Hongli Wang @@oth@@ Chin-Cheng Tsai @@oth@@ Tien-Chiang Yeh @@oth@@ Jing-Shan Hong @@oth@@ Chin-Tzu Fong @@oth@@ Cheng-Shang Lee @@oth@@ |
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blending of global and regional analyses with a spatial filter: application to typhoon prediction over the western north pacific ocean |
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Blending of Global and Regional Analyses with a Spatial Filter: Application to Typhoon Prediction over the Western North Pacific Ocean |
| abstract |
A blending method to merge the NCEP global analysis with the regional analysis from the WRF variational data assimilation system is implemented using a spatial filter for the purpose of initializing the Typhoon WRF (TWRF) Model, which has been in operation at Taiwan's Central Weather Bureau (CWB) since 2010. The blended analysis is weighted toward the NCEP global analysis for scales greater than the cutoff length of 1200 km, and is weighted toward the WRF regional analysis for length below that. TWRF forecast experiments on 19 typhoons from July to October 2013 over the western North Pacific Ocean show that the largescale analysis from NCEP GFS is superior to that of the regional analysis, which significantly improves the typhoon track forecasts. On the other hand, the regional WRF analysis provides a well-developed typhoon structure and more accurately captures the influence of the Taiwan topography on the typhoon circulation. As a result, the blended analysis takes advantage of the large-scale analysis from the NCEP global analysis and the detailed mesoscale analysis from the regional WRF analysis. In additional to the improved track forecast, the blended analysis also provides more accurate rainfall forecasts for typhoons affecting Taiwan. Because of the improved performance, the blending method has been implemented in the CWB operational TWRF typhoon prediction system. |
| abstractGer |
A blending method to merge the NCEP global analysis with the regional analysis from the WRF variational data assimilation system is implemented using a spatial filter for the purpose of initializing the Typhoon WRF (TWRF) Model, which has been in operation at Taiwan's Central Weather Bureau (CWB) since 2010. The blended analysis is weighted toward the NCEP global analysis for scales greater than the cutoff length of 1200 km, and is weighted toward the WRF regional analysis for length below that. TWRF forecast experiments on 19 typhoons from July to October 2013 over the western North Pacific Ocean show that the largescale analysis from NCEP GFS is superior to that of the regional analysis, which significantly improves the typhoon track forecasts. On the other hand, the regional WRF analysis provides a well-developed typhoon structure and more accurately captures the influence of the Taiwan topography on the typhoon circulation. As a result, the blended analysis takes advantage of the large-scale analysis from the NCEP global analysis and the detailed mesoscale analysis from the regional WRF analysis. In additional to the improved track forecast, the blended analysis also provides more accurate rainfall forecasts for typhoons affecting Taiwan. Because of the improved performance, the blending method has been implemented in the CWB operational TWRF typhoon prediction system. |
| abstract_unstemmed |
A blending method to merge the NCEP global analysis with the regional analysis from the WRF variational data assimilation system is implemented using a spatial filter for the purpose of initializing the Typhoon WRF (TWRF) Model, which has been in operation at Taiwan's Central Weather Bureau (CWB) since 2010. The blended analysis is weighted toward the NCEP global analysis for scales greater than the cutoff length of 1200 km, and is weighted toward the WRF regional analysis for length below that. TWRF forecast experiments on 19 typhoons from July to October 2013 over the western North Pacific Ocean show that the largescale analysis from NCEP GFS is superior to that of the regional analysis, which significantly improves the typhoon track forecasts. On the other hand, the regional WRF analysis provides a well-developed typhoon structure and more accurately captures the influence of the Taiwan topography on the typhoon circulation. As a result, the blended analysis takes advantage of the large-scale analysis from the NCEP global analysis and the detailed mesoscale analysis from the regional WRF analysis. In additional to the improved track forecast, the blended analysis also provides more accurate rainfall forecasts for typhoons affecting Taiwan. Because of the improved performance, the blending method has been implemented in the CWB operational TWRF typhoon prediction system. |
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Blending of Global and Regional Analyses with a Spatial Filter: Application to Typhoon Prediction over the Western North Pacific Ocean |
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Xiang-Yu Huang Ying-Hwa Kuo Der-Song Chen Hongli Wang Chin-Cheng Tsai Tien-Chiang Yeh Jing-Shan Hong Chin-Tzu Fong Cheng-Shang Lee |
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