Yunxia Zheng, Yongping Li and Runling Yu OCT,2009 in Halifax

Slides:



Advertisements
Similar presentations
Ensemble Sensitivity Analysis Applied to Tropical Cyclones: Preliminary Results from Typhoon Nuri (2008) Rahul Mahajan & Greg Hakim University of Washington,
Advertisements

1 GOES-R Hurricane Intensity Estimation (HIE) Validation Tool Development Winds Application Team Tim Olander (CIMSS) Jaime Daniels (STAR)
The Effect of Observing Environment on Temperature in North China Plain Area Jianxia Guo 1, Xin Li 2 1. Meteorological Observation Center of CMA, Beijing,
RED IBÉRICA MM5 4 th Meeting, Aveiro 26 th -27 th April, 2007 Wind field evaluation of the MM5 over the Strait of Gibraltar 20 th -23 rd August, 2004 E.
The Use of High Resolution Mesoscale Model Fields with the CALPUFF Dispersion Modelling System in Prince George BC Bryan McEwen Master’s project
State Oceanic Administration (SOA) and HY-2 Outline HY-1B(SeaWifs type) launched and is functioning HY-2(Jason type) SOA’s new ocean data assimilation.
Some Innovative Applications and Approaches Using Nudging Four Dimensional Data Assimilation: Lili Lei and David R. Stauffer Dept. of Meteorology, Penn.
Study of magnetic helicity in solar active regions: For a better understanding of solar flares Sung-Hong Park Center for Solar-Terrestrial Research New.
The OQ-Net radar VHF wind profiler network: Comparisons with radiosondes and NWP models Zheng Qi Wang, Mathew Corkum, Shama Sharma, Lisa Alexander, Peter.
UNDERSTANDING TYPHOONS
Integration Tide Gauge and Satellite Altimetry for Storm Surge and Sea Level change prediction. Ole B. Andersen and Y. Cheng (DTU, Denmark) Xiaoli Deng,
NUMERICAL WEATHER PREDICTION K. Lagouvardos-V. Kotroni Institute of Environmental Research National Observatory of Athens NUMERICAL WEATHER PREDICTION.
BRAVO Back-Trajectory Analyses Why Consider ATAD? History of use at Big Bend - How Good is our past? History of comparison to other wind fields. ATAD vs.
Characteristics of Extreme Events in Korea: Observations and Projections Won-Tae Kwon Hee-Jeong Baek, Hyo-Shin Lee and Yu-Kyung Hyun National Institute.
Wind Energy Institute of Tokyo No.1 Proposal for an amendment to IEC Ed.1 Japanese National Committee for IEC/TC88 March 11, 2010 SUZUKI Akihiro.
30 November December International Workshop on Advancement of Typhoon Track Forecast Technique 11 Observing system experiments using the operational.
USF FVCOM Tropical Cyclone Inundation Testbed Progress by Robert H. Weisberg, Lianyuan Zheng and Yong Huang College of Marine Science University of South.
Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.
Computing Deep-Tropospheric Vertical Wind Shear Analyses for TC Applications: Does the Methodology Matter? Christopher Velden and John Sears Univ. Wisconsin.
Use of Dynamical Adaptation in Research Impact Studies Second Workshop on Statistical and Dynamical Adaptation May 2003, Vienna, Austria Martina.
Caribbean Disaster Mitigation Project Caribbean Institute for Meteorology and Hydrology Tropical Cyclones Characteristics and Forecasting Horace H. P.
Hurricane Intensity Estimation from GOES-R Hyperspectral Environmental Suite Eye Sounding Fourth GOES-R Users’ Conference Mark DeMaria NESDIS/ORA-STAR,
INSTYTUT METEOROLOGII I GOSPODARKI WODNEJ INSTITUTE OF METEOROLOGY AND WATER MANAGEMENT TITLE : IMPLEMENTATION OF MOSAIC APPROACH IN COSMO AT IMWM AUTHORS:
Wsws wpwp dw wpwp wsws NARR ONLY Variations in x (size parameter)
A Thunderstorm Nowcasting System for the Beijing 2008 Olympics: A U.S./China Collaboration by James Wilson 1 and Mingxuan Chen 2 1. National Center for.
OWEMES 2006, Civitavecchia, Italy Accuracy of Short-Term Predictions for 25 GW Offshore Wind Power in Germany Jens Tambke, L. v. Bremen, N. Saleck, U.
An air quality information system for cities with complex terrain based on high resolution NWP Viel Ødegaard, r&d department.
Operational ALADIN forecast in Croatian Meteorological and Hydrological Service 26th EWGLAM & 11th SRNWP meetings 4th - 7th October 2004,Oslo, Norway Zoran.
Downscaling tropical cyclones from global re-analysis and scenarios: Statistics of multi-decadal variability of TC activity in E Asia Hans von Storch,
DATA ASSIMILATION FOR HURRICANE PREDICTION Experimental system and results of semi-operational implementation during the 2010 Atlantic Hurricane Season.
Application of Numerical Weather Prediction Prognoses to Operational Weather Forecasting in Hong Kong Pre-CAS Technical Conference on "Environmental Prediction.
Impacts of Rossby Wave Packets on Forecast Uncertainties and Errors
Improved Statistical Intensity Forecast Models: A Joint Hurricane Testbed Year 2 Project Update Mark DeMaria, NOAA/NESDIS, Fort Collins, CO John A. Knaff,
NWP models. Strengths and weaknesses. Morten Køltzow, met.no NOMEK
Doppler Lidar Winds & Tropical Cyclones Frank D. Marks AOML/Hurricane Research Division 7 February 2007.
1 Typhoon Track and Intensity Simulations by WRF with a New TC-Initialization Scheme HIEP VAN NGUYEN and YI-LENG CHEN Department of Meteorology, University.
Collaboration with NCAR Aug. 15, OutlineOutline 1. SMB in brief 2. The responsibility of SMB in Expo The requirements of SMB 4. The potential.
NWS MARINE PREDICTION CENTER America’s Weather Warning and Forecast Service for Mariners at Sea.
Global vs mesoscale ATOVS assimilation at the Met Office Global Large obs error (4 K) NESDIS 1B radiances NOAA-15 & 16 HIRS and AMSU thinned to 154 km.
Munehiko Yamaguchi 12, Takuya Komori 1, Takemasa Miyoshi 13, Masashi Nagata 1 and Tetsuo Nakazawa 4 ( ) 1.Numerical Prediction.
Application of Probability Density Function - Optimal Interpolation in Hourly Gauge-Satellite Merged Precipitation Analysis over China Yan Shen, Yang Pan,
Marine Services for Ships and Ports Zheqing Fang Shanghai Marine Meteorological Center, Shanghai Meteorological Service, CMA Shanghai , China ( July.
Cliquez pour modifier le style du titre Cliquez pour modifier le style des sous-titres du masque 1 Storm surge modeling at RSMC La Réunion 6th session.
Shanghai Forecast Office
Oceanic Observation and Typhoon Forecast in CMA
Lean Innovative Connected Vessels
15th Annual CMAS Conference
SEASONAL PREDICTION OVER EAST ASIA FOR JUNE-JULY-AUGUST 2017
Meteorology and Weather Forecasting
Climate Events and Impacts over China in 2016
Enhancement of Wind Stress and Hurricane Waves Simulation
WRF Four-Dimensional Data Assimilation (FDDA)
The Index and Payment Solutions of Typhoon Index Insurance for Rubber Trees in Hainan Province of China Xinli Liu1, Tao Ye2, Jing Dong1 , Miluo Yi2, Shuyi.
  Robert Gibson1, Douglas Drob2 and David Norris1 1BBN Technologies
Florida Institute of Technology
Coupled atmosphere-ocean simulation on hurricane forecast
European Wind Energy Conference and Exhibition 2009, Marseille, France
Project progress report WP2
Storm Surge Forecasting Practices, Tools for Emergency Managers, A Probabilistic Storm Surge Model Based on Ensembles and Past Error Distributions.
Winter storm forecast at 1-12 h range
Climatology of coastal low level jets over the Bohai Sea and Yellow Sea and the relationship with regional atmospheric circulations Delei Li1, Hans von.
Forecast Pressure.
Climatology of coastal low level jets (CLLJs) over the Bohai Sea and Yellow Sea using local and spatial-pattern based techniques Hans von Storch1, Delei.
Anne Karin Magnusson Norwegian Meteorological Institute, met.no Bergen
Comparison of Aircraft Observations With Surface Observations from
Consistent calibration of VIRR onboard FY-3A to FY-3C
COAMPS Coupled Ocean Atmosphere Prediction System Developed by FNMOC and NRL (1996) Operational - MEL/FNMOC Experimental - NRL-MRY 27 km Spatial.
Monterey Buoy LT Karen Wingeart.
REGIONAL AND LOCAL-SCALE EVALUATION OF 2002 MM5 METEOROLOGICAL FIELDS FOR VARIOUS AIR QUALITY MODELING APPLICATIONS Pat Dolwick*, U.S. EPA, RTP, NC, USA.
Weather Condition of the atmosphere at a certain place and time.
Presentation transcript:

Yunxia Zheng, Yongping Li and Runling Yu OCT,2009 in Halifax An Operational Forecast System with the Third Generation Wave Model Used in Shanghai Meteorology Center Shanghai Typhoon Institute/CMA Yunxia Zheng, Yongping Li and Runling Yu OCT,2009 in Halifax

Outline Motivation for this study Methodology and its application Statistical analysis of the precision Other operational marine forecast systems developed by Shanghai Typhoon Institute will be briefly introduced Summary of conclusions

Motivation Shanghai Meteorology Center undertake tasks of making forecast of wind and wave over the Yellow Sea and East China Sea, but few people works on wave in the departments and institutes of CMA Most of the operational products were taken from National Marine Environment Forecast Center (NMEFC) of China or NOAA of USA, but the information obtained has disadvantages( relatively low resolution and short period of validity). Model results of the second generation wave model is smaller than observations because of relatively weak tropical cyclone forecasted by the meteorological model previously used, and it also needs to be improved in the new operational wave forecast system.

Methodology An operational wave forecast system is established based on the third generation wave model – WW3 Warp correction for the wind speed is made if there is no typhoon. Typhoon model wind field is set up automatically to that of general circulation model if typhoon exists.

Conclusions The products include sea surface wind, significant wave height, mean wave direction, mean wave period and swell within 168 hours. The precision of strong wind forecasting can be improved with about 5% rising by using the wind field with error correction and establishing a more reliable typhoon model wind field, and furthermore the forecasting precision of the disastrous wave can be improved by 4%.

Parameters Domain : 5ºN~45ºN,105ºE~145ºE Horizontal resolution : 0.5°×0.5° 25 discrete spectrum frequencies range from 0.0418 HZ to 0.41 HZ 24 spectrum directions with a 15°increment solid boundary can absorb incident waves without reflection no energy input at the open boundary.

The data source and process of sea surface wind AVN/NCEP forecast and analysis results Spatial resolution of original AVN data : 1º×1º Temporal resolution : 6h Bilinear interpolation method is used to get wind field at every integral time step of model with the resolution of 0.5º×0.5º Warp correction is also made before inputting into the model T213 forecast and analysis results from National Meteorological Center of China The T213 data processing is same to the AVN data

Setting up of typhoon model wind field (1) Obtain the forecast information about intensity of typhoon center. sources of typhoon intensity: operational forecast of JTWC with the leading time of 120h 2) The operational products of Shanghai Typhoon Institute using objective forecast method is used as standby with the leading time of 72h. Because the leading time of wind field of AVN and T213 are both 168h, and the present objective forecast method can’t forecast the intensity of typhoon after 120h or 72h, so the ways are taken as follows:

Setting up of typhoon model wind field (2) 1) calculate the average difference of maximum wind speed surrounding the typhoon center within 120h or 72h between AVN or T213 (V1) and result of objective typhoon intensity forecast method (V2) : 2) Pick up the AVN or T213 maximum wind speed surrounding the typhoon center V1, regard V1+DV as the modified maximum wind speed after 120h or 72h. 3) Set up the ideal typhoon model wind field 4) The typhoon model wind field Vm is defined as the combination of V(r) and the environmental wind speed Ve with different weights and the influence of typhoon moving speed Vc is also considered.

The influence of Typhoon model wind field (Taking the No The influence of Typhoon model wind field (Taking the No. 5 typhoon of 2006 ‘Kaemi’ as an example ) Significant wave height and swell of the 48th hour driven by AVN wind field (the initial time is 08:00, July 23, 2006) Maximum wind speed: Analysis result : 35m/s Model result: 18m/s Maximum SWH: Analysis result : > 10m Model result: only 6m Analysis of wave field supplied by NMEFC (08:00 on July 25)

with the typhoon model wind field embedded Significant wave height and swell of the 48th hour driven by AVN wind field with the typhoon model wind field embedded (The initial time is 08:00 BT, July 23, 2006)

Warp correction of strong wind The AVN analysis wind field has systematic errors comparing to the observations, So the AVN wind field is corrected before inputting into the wave model. Samples : Observations two times a day from 2000 to 2006 at Dalian, Chengshantou, Qingdao, Shengsi and Dachen stations.

Running of the operational system Forecast products are provided to Shanghai Meteorological Center initialize at 08:00 and 20:00 everyday, the products are stored on PC- cluster and forecasters can access on MICAPS platform. The operation initialized at 08:00 starts at 12:30 everyday and operation initialized at 20:00 starts at 2:50 the next morning. The operational time is about 1h and 20min on PC-CLUSTER, and 95% of the running jobs are normal.

Display of the products MICAPS platform Display of wave elements on internet web site

Statistical analysis of the precision Samples : Observations two times a day from 2000 to 2006 at Dalian, Chengshantou, Qingdao, Shengsi and Dachen stations. absolute errors of the sea surface wind (unit: m/s) Precision 74% 69% 63% absolute errors of the wave direction (unit: °) absolute errors of the wave period (s)

absolute errors of the significant wave height (unit: m) Analysis result of the wave height at 08:00, March 5 cold air in the beginning of March 2007 Significant wave height forecasted by WW3 (a) and the second generation wave model (b)

Other forecast systems

Storm Surge Forecast System Domain Typhoon Sepat in 2007 Time series of sea level rising of PingTan Station solid line: Obs. dot line: forecast 17 Aug.20BT 18 Aug. 08BT 20BT 19Aug08BT ------2007年09号“圣帕”台风 F:48h ,2 times a day

Shanghai Regional Storm Surge Forecast System Domain: 29N-32N 120E-123E Resolution: 1km× 1km Shanghai

Objective Fog forecast system Display on web site Display on MICAPS ( 1:heavy fog; 2:fog; 3:light fog)

Conclusions The products include sea surface wind, significant wave height, mean wave direction, mean wave period and swell within 168 hours. The precision of strong wind forecasting can be improved with about 5% rising by using the wind field with error correction and establishing a more reliable typhoon model wind field, and furthermore the forecasting precision of the disastrous wave can be improved by 4%.

Thank you for your attention! www.smb.gov.cn www.sti.org.cn www.typhoon.gov.cn Thank you for your attention! Welcome to Shanghai!