satellite application on weather services in japan yasushi suzuki japan weather association 12nd....
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
20051995
2nd. 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
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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)
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After Arrival
Before Departure
NEX connects Narita airport to Tokyo city
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Weather column by Ms. Mirei KawashimaCertified 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.
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Mobile phone information (GSMaP/SST/Winds)
JAXA/JWA collaborative research on “Satellite data application on weather information system and results from user promotion study” (2011-2013)
User Questionnaire on interesting information
1. Weather & Temp. 1632. Temp. 653. Weather & Temp. & Rain 644. SST 255. Rain 24 overseas travel 140 (total 651)
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0
500000
1000000
1500000
2000000
2500000
3000000
200310 200410 200510 200610 200710 200810 200910 201010 201110 201210 201310 201410
GCOM-W
DMSP-F18
DMSP-F17
DMSP-F16
Aqua
DMSP-F15
DMSP-F14
DMSP-F13
TRMM
History of Microwave Radiometer DataTPW,RR assimilation was
started in 2003DMSP-F13,14,15/SSMI
and TRMM/TMI
Aqua/AMSR-E
DMSP-F15/SSMI
DMSP-F14/SSMI
DMSP-F13/SSMI
Radiance assimilation was started in 2010DMSP-F16,17/SSMIS
were added
DMSP-F18/SSMIS
Aqua/AMSR-E
2003 20122006 2009
GCOM-W/AMSR2
Start of use
End of use
TRMM/TMI assimilation was started in 2003.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 temperatureSSMIS brightness temperature
Rain Rate fromground-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 BC GMI 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)
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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/TMI GPM-core/GMI
2014/07/07(1day)
Kazumori (2014,IPWG7)
Assimilation of GMI TB in JMA Meso-scale NWP system
JMA Meso-scale NWP systemDA 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 15kmThree 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 dataGMI: Global Precipitation Measurement (GPM) Microwave Imager
Channel: 19V, 23V, 37V, 89VRetrieved Rain Rate
Main target of JMA Meso-scale NWP system isaccurate 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)
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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. 2010 (T1014, CHABA).
Analyzed PMSL field and TRMM/PR swath
Vertical cross section of Ze
Sato (2015,TRMM Symposium)