Satellite Application on Weather Services in Japan Yasushi SUZUKI Japan Weather Association 12nd. GPM Applications Workshop, June/9-10/2015.

Slides:



Advertisements
Similar presentations
Development of Data Assimilation Systems for Short-Term Numerical Weather Prediction at JMA Tadashi Fujita (NPD JMA) Y. Honda, Y. Ikuta, J. Fukuda, Y.
Advertisements

Introduction to data assimilation in meteorology Pierre Brousseau, Ludovic Auger ATMO 08,Alghero, september 2008.
Hou/JTST Exploring new pathways in precipitation assimilation Arthur Hou and Sara Zhang NASA Goddard Space Flight Center Symposium on the 50 th.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
Dual-Scale Neighboring Ensemble Variational Assimilation for a Cloud-Resolving Model Dual-Scale Neighboring Ensemble Variational Assimilation for a Cloud-Resolving.
Improved Simulations of Clouds and Precipitation Using WRF-GSI Zhengqing Ye and Zhijin Li NASA-JPL/UCLA June, 2011.
Reason for the failure of the simulation of heavy rainfall during X-BAIU-01 - Importance of a vertical profile of water vapor for numerical simulations.
Slide 1 IPWG, Beijing, October 2008 Slide 1 Assimilation of rain and cloud-affected microwave radiances at ECMWF Alan Geer, Peter Bauer, Philippe.
Daily runs and real time assimilation during the COPS campaign with AROME Pierre Brousseau, Y. Seity, G. Hello, S. Malardel, C. Fisher, L. Berre, T. Montemerle,
Use of TRMM for Analysis of Extreme Precipitation Events Largest Land Daily Rainfall (mm/day)
Recent Progress on High Impact Weather Forecast with GOES ‐ R and Advanced IR Soundings Jun Li 1, Jinlong Li 1, Jing Zheng 1, Tim Schmit 2, and Hui Liu.
Status of operational NWP system and satellite data utilization at JMA APSDEU-8 Montreal, Canada, October 10-12, 2007 Masahiro KAZUMORI Numerical Prediction.
JMA Global Model Hiromi Owada Numerical Prediction Division, Forecast Dept. Japan Meteorological Agency 1.
Recent activities on utilization of microwave imager data in the JMA NWP system - Preparation for AMSR2 data assimilation - Masahiro Kazumori Japan Meteorological.
Short Range NWP Strategy of JMA and Research Activities at MRI
ATMS 373C.C. Hennon, UNC Asheville Observing the Tropics.
Status of Operational NWP System and the Satellite Data Utilization at JMA Yoshiaki Takeuchi Numerical Prediction Division Japan Meteorological Agency.
The National Environmental Agency of Georgia L. Megrelidze, N. Kutaladze, Kh. Kokosadze NWP Local Area Models’ Failure in Simulation of Eastern Invasion.
Tomomi Nio NASDA/EORC Tomomi Nio NASDA/EORC Precipitation Observation from Space in the Next Generation: the Global Precipitation Measurement (GPM) 16th.
Agency, version?, Date 2012 Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Coordination Group.
Moisture observation by a dense GPS receiver network and its assimilation to JMA Meso ‑ Scale Model Koichi Yoshimoto 1, Yoshihiro Ishikawa 1, Yoshinori.
TECO-2006 Geneva, Dec. 3-5, Improvements in the Upper-Air Observation Systems in Japan M. Ishihara, M. Chiba, Y. Izumikawa, N. Kinoshita, and N.
Current status of AMSR-E data utilization in JMA/NWP Masahiro KAZUMORI Numerical Prediction Division Japan Meteorological Agency July 2008 Joint.
June, 2003EUMETSAT GRAS SAF 2nd User Workshop. 2 The EPS/METOP Satellite.
Meso-γ 3D-Var Assimilation of Surface measurements : Impact on short-range high-resolution simulations Geneviève Jaubert, Ludovic Auger, Nathalie Colombon,
Use of satellite data in the JRA-55 reanalysis and related activities Y.Harada, Shinya Kobayashi, Y.Ota, H.Onoda, A.Ebita, M.Moriya, Kazutoshi Onogi, H.Kamahori,
Assimilation of various observational data using JMA meso 4D-VAR and its impact on precipitation forecasts Ko KOIZUMI Numerical Prediction Division Japan.
Slide 1 Impact of GPS-Based Water Vapor Fields on Mesoscale Model Forecasts (5th Symposium on Integrated Observing Systems, Albuquerque, NM) Jonathan L.
30 November December International Workshop on Advancement of Typhoon Track Forecast Technique 11 Observing system experiments using the operational.
A NON-RAINING 1DVAR RETRIEVAL FOR GMI DAVID DUNCAN JCSDA COLLOQUIUM 7/30/15.
USE OF PRECIPITATION INFORMATION FROM SPACEBORNE RADAR FOR VERIFICATION AND ASSIMILATION IN THE ECMWF MODEL A.Benedetti, P. Lopez, E. Moreau, P. Bauer,
Global and regional OSEs at JMA Ko KOIZUMI Numerical Prediction Division Japan Meteorological Agency.
Mission: Transition unique NASA and NOAA observations and research capabilities to the operational weather community to improve short-term weather forecasts.
Outline Background Highlights of NCAR’s R&D efforts A proposed 5-year plan for CWB Final remarks.
- JAXA Agency Report - Osamu OCHIAI JAXA/EORC WGISS#18, SG#17 Sept. 6-10, 2004.
Satellite-based Land-Atmosphere Coupled Data Assimilation Toshio Koike Earth Observation Data Integration & Fusion Research Initiative (EDITORIA) Department.
Kazumasa Aonashi (MRI/JMA) Takuji Kubota (Osaka Pref. Univ.) Nobuhiro Takahashi (NICT) 3rd IPWG Workshop Oct.24, 2006 Developnemt of Passive Microwave.
Introduction of temperature observation of radio-sonde in place of geopotential height to the global three dimensional variational data assimilation system.
Recent activities on AMSR-E data utilization in NWP at JMA Masahiro Kazumori, Koichi Yoshimoto, Takumu Egawa Numerical Prediction Division Japan Meteorological.
The Hyperspectral Environmental Suite (HES) and Advanced Baseline Imager (ABI) will be flown on the next generation of NOAA Geostationary Operational Environmental.
CRL’s Planned Contribution to GPM Harunobu Masuko and Toshio Iguchi Applied Research and Standards Division Communications Research Laboratory 4-2-1, Nukkui-kita-machi,
Recent activities on NWP and satellite data assimilation at JMA Yoshiaki Sato (JMA/NPD) and colleagues in JMA/NPD 1 The Eleventh Asia-Pacific Satellite.
TRMM TMI Rainfall Retrieval Algorithm C. Kummerow Colorado State University 2nd IPWG Meeting Monterey, CA. 25 Oct Towards a parametric algorithm.
MIIDAPS Application to GSI for QC and Dynamic Emissivity in Passive Microwave Data Assimilation.
Recent development of all-sky radiance assimilation at JMA Kozo Okamoto, Masahiro Kazumori Japan Meteorological Agency (JMA) The 3 rd Joint JCSDA-ECMWF.
Trials of a 1km Version of the Unified Model for Short Range Forecasting of Convective Events Humphrey Lean, Susan Ballard, Peter Clark, Mark Dixon, Zhihong.
Basis of GV for Japan’s Hydro-Meteorological Process Modelling Research GPM Workshop Sep. 27 to 30, Taipei, Taiwan Toshio Koike, Tobias Graf, Mirza Cyrus.
A step toward operational use of AMSR-E horizontal polarized radiance in JMA global data assimilation system Masahiro Kazumori Numerical Prediction Division.
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.
A Physically-based Rainfall Rate Algorithm for the Global Precipitation Mission Kevin Garrett 1, Leslie Moy 1, Flavio Iturbide-Sanchez 1, and Sid-Ahmed.
ESSL Holland, CCSM Workshop 0606 Predicting the Earth System Across Scales: Both Ways Summary:Rationale Approach and Current Focus Improved Simulation.
Assimilation of GPM satellite radiance in improving hurricane forecasting Zhaoxia Pu and ChauLam (Chris) Yu Department of Atmospheric Sciences University.
CGMS-43-NOAA-WP-25 Coordination Group for Meteorological Satellites - CGMS NOAA Use of Soil Moisture Products Presented to CGMS-43 Working Group 2 session,
The GSI Capability to Assimilate TRMM and GPM Hydrometeor Retrievals in HWRF Ting-Chi Wu a, Milija Zupanski a, Louie Grasso a, Paula Brown b, Chris Kummerow.
Agency, version?, Date 2014? [update filed in the slide master] Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the.
JAXA Agency Report Misako Kachi
JMA GPRC report Arata OKUYAMA Meteorological Satellite Center,
SOLab work description
Japan Meteorological Agency / Meteorological Research Institute
European Centre for Medium-Range Weather Forecasts
Tadashi Fujita (NPD JMA)
Current Status of GSMaP Project and New MWI Over-land Precipitation
Welcome to The Third Workshop of the
Reprocessing of Atmospheric Motion Vector for JRA-3Q at JMA/MSC
Hiromu Seko (MRI) , Toshitaka Tsuda and Naoto Yoshida (Kyoto Univ.)
Assimilation of Cloudy AMSU-A Microwave Radiances in 4D-Var
The Global Satellite Mapping of Precipitation (GSMaP) project: Integration of microwave and infrared radiometers for a global precipitation map Tomoo.
Global Satellites Mapping of Precipitation Project in Japan (GSMaP) - Microwave and Infrared combined algorithm - K. Okamoto, T. Ushio, T. Iguchi, N. Takahashi…...../
Science of Rainstorms with applications to Flood Forecasting
Presentation transcript:

Satellite Application on Weather Services in Japan Yasushi SUZUKI Japan Weather Association 12nd. GPM Applications Workshop, June/9-10/2015

 Japan Meteorological Agency gives approval to the weather business based on the Meteorological Service Act  62 companies are approved for the meteorological information  53 companies are approved for the earthquake information  The amount of weather market is about 30 billion-yen  About 9,300 weather forecasters are certified 2 Annual report on the weather business by Japan Meteorological Agency Private weather companies in Japan Amount of market Number of companies nd. GPM Applications Workshop, June/9-10/2015

Value-added products from private weather companies  Filling the lack of public weather information Communicate clearly to the user Communicate in a timely Communicate in an appropriate way Communicate in an appropriate words  Value-added products made from basic data Information which meet the demands of users  The value of information is determined by the compensation of user’s satisfaction level 32nd. GPM Applications Workshop, June/9-10/2015

4 Forecasts Observations Alerts Maps Index Travel&Sports Climate tenki.jp Column Satellites Maps Radars AMeDAS PM2.5 Weather column by certified weather forecaster

Train Weather Channel in NEX(Narita Express) 2nd. GPM Applications Workshop, June/9-10/20155 After Arrival Before Departure NEX connects Narita airport to Tokyo city

2nd. GPM Applications Workshop, June/9-10/20156 Weather column by Ms. Mirei Kawashima Certified Weather Forecaster Looking a global rainfall map Usually, you are using observed rainfall information by weather radars on the ground. But rainfall observation is available from space. Today, I introduce a global rainfall map using satellite observation JAXA’s GSMaP products are used in tenki.jp weather portal site. In this case, two tropical cyclones were approaching and their rainfall distribution on the Pacific ocean was explained.

2nd. GPM Applications Workshop, June/9-10/20157 Mobile phone information (GSMaP/SST/Winds) JAXA/JWA collaborative research on “Satellite data application on weather information system and results from user promotion study” ( ) User Questionnaire on interesting information 1.Weather & Temp Temp Weather & Temp. & Rain 64 4.SST 25 5.Rain 24 overseas travel 140 (total 651)

2nd. GPM Applications Workshop, June/9-10/20158 History of Microwave Radiometer Data TPW,RR assimilation was started in 2003 DMSP-F13,14,15/SSMI and TRMM/TMI Aqua/AMSR-E DMSP-F15/SSMI DMSP-F14/SSMI DMSP-F13/SSMI Radiance assimilation was started in 2010 DMSP-F16,17/SSMIS were added DMSP-F18/SSMIS Aqua/AMSR-E GCOM-W/AMSR2 Start of use End of use TRMM/TMI assimilation was started in Amount of MWR data increased by 5 times in the past 12 years. Radiances are assimilated in JMA global and meso- scale 4D-var data assimilation systems. JMA Meso-scale Analysis (one month accumulated data amount) Sato (2015,TRMM Symposium)

GMI case study: Heavy precipitation event in Japan Assimilation experiment: Control run: same as JMA operational configuration (w/o GMI data) Test run: Control + GPM satellite data (GMI TB, retrieved rain rate) Period: Data assimilation: 26 June – 14 July, 2014 Forecast: 39 hour forecasts every 3 hour 21 UTC July 2, 2014 Surface weather chart (00UTC July 3, 2014) GMI brightness temperature SSMIS brightness temperature Rain Rate from ground-based radar and microwave imagers MTSAT IR image (00UTC July 3, 2014) Heavy rain in Nagasaki prefecture in the western Island of Japan Kazumori (2014,IPWG7)

GMI observed TB (23GHzV) w BCGMI simulated TB (23GHzV) Observed TB – Simulated TB Retrieved Rain Rate Added as new data GMI data coverage Kazumori (2014,IPWG7)

TPW (analysis) ( w GMI ) TPW (analysis) ( wo GMI ) Analysis increment ( w GMI ) Analysis increment ( wo GMI ) 21 UTC 2 July 2014 Impacts on analyzed TPW field Kazumori (2014,IPWG7)

2nd. GPM Applications Workshop, June/9-10/ GPM data utilization test GMI microwave imager data utilization are in progress. –Assimilation of GMI TB improves the fits in other microwave imager’s analysis and first guess departure in NH and tropics. –And, improves humidity fields in the lower troposphere. –A case study shows assimilation of GMI observations (TB and rain rate) improves precipitation forecast in JMA meso-scale NWP system. GPM/DPR reflectivity data assimilation based on TRMM/PR technique are investigated. TRMM/TMIGPM-core/GMI 2014/07/07(1day) Kazumori (2014,IPWG7)

Reference materials 2nd. GPM Applications Workshop, June/9-10/201513

Assimilation of GMI TB in JMA Meso-scale NWP system JMA Meso-scale NWP system DA system: Non-hydrostatic model based 4D-Var (Honda et al. 2005) Forecast model: Non-hydrostatic model, JMA-NHM (Saito et al. 2006) Model Resolution: Outer 5km, Inner 15km Three hourly assimilation cycle: 8 times per day, three hour assimilation window Used data: satellite radiance and rain, rain rate and wind from ground-based radar, TCWV from GNSS, AMV, and conventional data RTM for satellite radiance assimilation: RTTOV-10 (same as JMA Global DA system) Added new data GMI: Global Precipitation Measurement (GPM) Microwave Imager Channel: 19V, 23V, 37V, 89V Retrieved Rain Rate Main target of JMA Meso-scale NWP system is accurate precipitation forecasts for Japan and its surrounding areas. GMI TB data are obtained from JAXA in real time since March 2014 Meso-scale Model Domain Kazumori (2014,IPWG7)

Distribution of used microwave imager data in JMA Meso-scale analysis: AMSR2, SSMIS F16, SSMIS F17, SSMIS F18, TMI, GMI Kazumori (2014,IPWG7)

2nd. GPM Applications Workshop, June/9-10/ TRMM/PR simulation test With the radar simulator in JMA, TRMM/PR reflectivity was simulated using MSM forecast field. – This is a preliminary study for satellite radar reflectivity assimilation. The sample case is 29 Oct (T1014, CHABA). Analyzed P MSL field and TRMM/PR swath Vertical cross section of Ze Sato (2015,TRMM Symposium)

2nd. GPM Applications Workshop, June/9-10/ Model Simulated ZeModel+Obs Simulated Ze TRMM/PR assimilation test Model Simulated ZeModel+Obs Simulated Ze Model wModel+Obs w Observation Ze Eye of Typhoon Sato (2015,TRMM Symposium)