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Comparison of directional wave spectrum hindcast to the buoy data measured near the typhoon path TAERIM KIM and JAEHYUK LEE [email protected] Department of Ocean Science and Engineering Kunsan National University, Republic of Korea 1st International Workshop on Waves, Storm Surges and Coastal Hazard Liverpool, UK, 10-15, September 2017 Contents Background Wind data and wave model Wave directional spectrum analysis Comparison of model results Summary and next steps Background(1) 1. Typhoon Bolaven(1215)(TYB_category 3) generated record breaking waves and damaged several ports severely. The central pressure and maximum wind velocity reached up to 910h and 51.8 m/s, respectively. It is the most powerful typhoon which passed the Yellow Sea with casualties of 15 and property damages of over 700 million dollars. Typhoon Bolaven Path and Satellite Images Satellite Images(COMS) TYB Path NTC / KMA (National Typhoon Center / Korea Meteorological Administration) Typhoon Bolaven Wind & Wave IEODO Ocean Station data for 10 years. Hs =10.75 m Wind velocity= 35.42 m/sec 15 Ieodo ( 2006 ~ 2016 ) 2012/08/29 06:00 10 Hs : 10.75 m 5 Significant Wave (m) Height Significant 0 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Year ( 2006 ~ 2016 ) 50 40 2012/08/27 19:00 35.42 m/s 30 20 Wind Speed (m/s) Speed Wind 10 0 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Year ( 2006 ~ 2016 ) Damages by Typhoon Bolaven Damages by Typhoon Bolaven Damages by Typhoon Bolaven Storm Surge by Typhoon Bolaven ? Background(2) 1. Typhoon Bolaven(1215)(TYB_category 3) generated record breaking waves and damaged several ports severely. The central pressure and maximum wind velocity reached up to 910h and 51.8 m/s, respectively. It is the most powerful typhoon which passed the Yellow Sea with casualties of 15 and property damages of over 700 million dollars. 2. TYB generated extreme waves (Hmax=20.7m) and also high waves for long duration. The reason of this extreme case is considered by “dynamic fetch effect” but needs to be analyzed with more data. Typhoon Bolaven Characteristics ( 1 ) 1020 1000 WUKONG (2006.08.13 ~ 08.19) SHANSHAN (2006.09.10 ~ 09.19) 980 MAN-YI (2007.07.09 ~ 07.17) USAGI (2007.07.29 ~ 08.04) 960 40 NARI (2007.09.13 ~ 09.17) KALMAEGI (2008.07.15 ~ 07.20) 940 DIANMU (2010.08.08 ~ 08.12) 920 KOMPASU (2010.08.29 ~ 09.03) Central Pressure (hPa) Pressure Central MALOU (2010.09.03 ~ 09.08) 900 35 MEARI (2011.06.22 ~ 06.27) 5 10 15 20 25 30 35 40 45 MUIFA (2011.07.28 ~ 08.09) Latitude (degree) 60 TALAS (2011.08.25 ~ 09.05) KHANUN (2012.07.16 ~ 07.19) 50 DAMREY (2012.07.28 ~ 08.03) TEMBIN (2012.08.19 ~ 08.31) 30 BOLAVEN (2012.08.20 ~ 08.29) 40 SANBA (2012.09.11 ~ 09.18) LEEPI (2013.06.18 ~ 06.21) 30 KONG-REY (2013.08.26 ~ 08.31) DANAS (2013.10.04 ~ 10.09) 20 Latitude (degree) Latitude NEOGURI (2014.07.04 ~ 07.11) 25 HALONG (2014.07.29 ~ 08.11) Maximum Wind Speed (m/s) Maximum 10 NAKRI (2014.07.30 ~ 08.03) 5 10 15 20 25 30 35 40 45 VONGFONG (2014.10.03 ~ 10.14) Latitude (degree) 800 CHAN-HOM (2015.06.30 ~ 07.13) NANGKA (2015.07.04 ~ 07.18) 20 HALOLA (2015.07.13 ~ 07.27) 600 GONI (2015.08.15 ~ 08.24) 400 120 125 130 135 140 145 200 Longitude (degree) Radius of Strong Wind (km) Radius Strong of 0 5 10 15 20 25 30 35 40 45 Latitude (degree) Typhoon Bolaven Wind & Wave IEODO Ocean Station data for 10 years. Hs =10.75 m Wind velocity= 35.42 m/sec 15 Ieodo ( 2006 ~ 2016 ) 2012/08/29 06:00 10 Hs : 10.75 m 5 Significant Wave (m) Height Significant 0 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Year ( 2006 ~ 2016 ) 50 40 2012/08/27 19:00 35.42 m/s 30 20 Wind Speed (m/s) Speed Wind 10 0 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Year ( 2006 ~ 2016 ) Background(3) 1. Typhoon Bolaven(1215)(TYB_category 3) generated record breaking waves and damaged several ports severely. The central pressure and maximum wind velocity reached up to 910h and 51.8 m/s, respectively. It is the most powerful typhoon which passed the Yellow Sea with casualties of 15 and property damages of over 700 million dollars. 2. TYB generated extreme waves (Hmax=20.7m) and also high waves for long duration. The reason of this extreme case is considered by “dynamic fetch effect” but needs to be analyzed with more data. 3. Typhoon wind and wave fields are very complicate and good example to check the model performance. The numerical wave prediction model needs to be tested with more wave data, specially in terms of directional spectrum. Wave Observation Sites Wave Directional Spectrum - KOGA-S01(33.4 km) - KOGA-S04(160.6 km) - IEODO Significant Wave Height - Chilbaldo - Seocheon - Gadaeam WAVEWATCH3(Depth and Grids) - WAVEWATCH3 ( v 4.18 ) - Modeling area KOREA latitude 18˚N~52.5˚N , longitude 115˚E~147˚E JAPAN - Grid information · Unstructured Grid · Nodes : 121,292 CHINA · Elements : 214,597 - Grid resolution · Max : 200 km · Min : 100 m - Spherical coordinate - Depth Data : ETOPO1 KMA UM Wind Data Global(UM) ASIA(WRF) KOREA(UM) ASIA(UM) - KMA UM(Unified Model) Wind Data · RDAPS(Regional Data Assimilation and Prediction System) · Spatial Resolution : 12 km ( 0.11° ), 419 x 491 grids. · Temporal Resolution : 3 hour, 4 times/day(00, 06, 12, 18UTC), 72 hour prediction - WW3 Wind Data - 10m Sea Wind Data( U, V ), 6 hour Resolution UM Wind Field Data(RDAPS) Comparison of UM Wind with Observation Data Observed Observed 40 Ieodo Ieodo Unified Model Unified Model W 30 S 20 E 10 Wind Direction Wind Speed (m/s) N 0 08/23 08/25 08/27 08/29 08/23 08/25 08/27 08/29 Month/Day (2012) Month/Day (2012) 35 Observed Observed 30 Chilbaldo Unified Model Chilbaldo Unified Model W 25 S 20 15 E 10 Wind Direction Wind Speed (m/s) N 5 0 08/23 08/25 08/27 08/29 08/23 08/25 08/27 08/29 Month/Day (2012) Month/Day (2012) 35 Observed Observed 30 Gadaeam Unified Model Gadaeam Unified Model W 25 S 20 15 E 10 Wind Direction Wind Speed (m/s) N 5 0 08/23 08/25 08/27 08/29 08/23 08/25 08/27 08/29 Month/Day (2012) Month/Day (2012) 35 Observed Observed 30 Seocheon Unified Model Seocheon Unified Model W 25 S 20 15 E 10 Wind Direction Wind Speed (m/s) N 5 0 08/23 08/25 08/27 08/29 08/23 08/25 08/27 08/29 ASCAT Wind Fields(Eumersat MetOp-A) morning passes (~09:30 local time), evening passes (~21:30 local time) 09:54 (KST), 21:06 (KST) 27th August 2012 ASCAT Wind vs UM Wind 2012/08/27 09:54 - 2012/08/27 - 21:06 WW3 Wave Fields Simulation ( 1 ) ( RDAPS/UM ) - High waves are generated on the right side of the TYB translation direction. - From 27th to 28th in August 2012, higher than 10 m Hs was generated along the TYB track. Comparison of WW3 with Observation 20 20 Observed Observed KOGA-S01 WAVEWATCH3(UM) KOGA-S04 WAVEWATCH3(UM) 15 15 10 10 5 5 Significant Wave Height (m) Significant Wave Height (m) 0 0 08/23 08/25 08/27 08/29 08/23 08/25 08/27 08/29 Month / Day (2012) Month / Day (2012) 10 Observed Observed 15 Ieodo WAVEWATCH3(UM) Chilbaldo WAVEWATCH3(UM) 8 6 10 4 5 2 Significant Wave Height (m) 0 Significant Wave Height (m) 0 08/23 08/25 08/27 08/29 08/23 08/25 08/27 08/29 Month / Day (2012) Month / Day (2012) 6 Observed Observed 8 5 Seocheon WAVEWATCH3(UM) Gadaeam WAVEWATCH3(UM) 4 6 3 4 2 2 1 Significant Wave Height (m) 0 Significant Wave Height (m) 0 08/23 08/25 08/27 08/29 08/23 08/25 08/27 08/29 Month / Day (2012) Month / Day (2012) Review of Typhoon Wind and Wave Fields Spatial structure of directional Typical typhoon wind field in wave spectra in hurricanes the Northern Hemisphere (Esquivel-Trava et al., 2015, (Young, 2006, JGR) Ocean Dynamics) Wave Directional Spectrum Changes(Observed) 35 10 KOGA-S01 34 N N N N N 33 27 29 31 33 35 5 32 31 30 0 29 Y / R -5 28 27 26 -10 25 24 -10 0 10 X / R 36 KOGA-S04 N N N N 10 N 35 KOGA-S04 27 29 31 33 35 5 34 33 32 0 31 Y / R 30 -5 29 28 -10 27 26 -10 0 10 X / R 35 10 34 KOGA-S01 33 5 32 31 Wave Directional Spectrum Changes 30 0 29 Y / R -5 28 27 26 -10 25 24 -10 0 10 X / R 36 10 KOGA-S04 35 5 34 33 32 0 31 Y / R 30 -5 29 28 -10 27 26 -10 0 10 X / R Comparison of Directional Spectrum(WW3 vs S01) 35 N N N N 10 KOGA-S01 N 34 27 29 31 33 35 33 5 32 31 30 0 29 Y / R -5 28 27 26 -10 25 24 -10 0 10 X / R 27 29 31 33 35 KOGA-S01 27 29 31 33 35 wavewatch3 Comparison of Directional Spectrum(WW3 vs S04) 36 10 35 KOGA-S04 N N N N 27 N 29 31 33 35 5 34 33 32 0 31 Y / R 30 -5 29 28 -10 27 26 -10 0 10 X / R 27 29 31 33 35 KOGA-S04 wavewatch3 Summary and Next Steps(1) 1.