Status of the Multi-Functional Transport Satellite (MTSAT) Program - PowerPoint PPT Presentation

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Status of the Multi-Functional Transport Satellite (MTSAT) Program

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Polar-stereographic projection covering East Agea. Polar-stereographic projection covering the north-east of Japan. – PowerPoint PPT presentation

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Title: Status of the Multi-Functional Transport Satellite (MTSAT) Program


1
Status of the Multi-Functional Transport
Satellite (MTSAT) Program
  • Prepared for APSDEU-6, 1-3 June 2005, Seoul/Korea
  • Akihiko Nakazono
  • Office of International Communications,
  • Forecast Dept., Japan Meteorological Agency
  • Nozomu Ohkawara
  • Meteorological Satellite Centre,
  • Japan Meteorological Agency

2
First images from MTSAT-1R ( 24 March 2005)
IR3(WV6.7mm)
IR1 (11mm)
IR2 (12mm)
IR4 (3.7mm)
VIS
3
Back-up of GMS-5 with GOES-9
Sub-satellite point of GOES-9
The left end of a picture is missing
?
?
  • MTSAT-1 was failed to launch in November 1999
  • GMS-5 had been deteriorating its function
  • The imaging function has been backed up by
    GOES-9, in cooperation with NOAA/NESDIS, since
    22 May 2003

Sub-satellite point of the GMS-5
4
MTSAT (-1R / -2) Program
  • The successor to the GMS-5
  • 3 axis stabilized satellite
  • 2 missions
  • Aeronautical Mission (JCAB)
  • Meteorological Mission (JMA)

5
MTSAT-1R
  • MTSAT-1R was successfully launched on 26th Feb
    2005.
  • The in-orbit test of MTSAT-1R has been performed.
  • After checking-out of the whole system, including
    ground facilities, dissemination of imagery from
    MTSAT-1R will be started.
  • Test dissemination started on 31th May
  • The commencement of operational dissemination
    is to be announced as soon as defined.

6
MTSAT-2
  • The functions are same as MTSAT-1R
  • MTSAT-2 is planned to be launched within the
    fiscal year (by the end of March 2006).

7
Improved Functions(Common to MTSAT-1R/-2)
Note At the sub-satellite point New
Function Improved Function
  • An additional 3.7mm channel (IR4)
  • Improved data quantization 10 bits (1024
    levels) /pixel

8
Improvement of Services
  • Half hourly observation for northern hemisphere
  • No cancellation of observations caused from
    eclipse phenomena
  • New HRIT and LRIT dissemination services
  • Continuance of HiRID (S-VISSR compatible) and
    WEFAX dissemination services to support users
    migrations
  • Separate and Independent dissemination service
    for MDUSs and SDUSs
  • Continuance of the Internet dissemination service
    for MDUS users (IR1 only)

9
Observation Schedule of MTSAT-1R
10
Low Rate Information Transmission (LRIT, 2005)
  • Digital data transmission (64Kbps)
  • Conventional data compression (JPEG, lossless or
    lossy)
  • Contents
  • MTSAT Imagery
  • MANAM

11
High Resolution Imager Data (HiRID, 20052007)
  • Compatible with S-VISSR format of GMS-5
  • IR data with 10 bits level resolution are
    available
  • An additional 3.7mm data are also available

12
High Rate Information Transmission (HRIT, 2005)
  • Digital Data Transmission (3.5Mbps)
  • Conventional data compression (JPEG, lossless)
  • Contents
  • Full resolution imagery of all channels
  • Spatial resolution of all channels are improved
  • VIS data are also available with 10 bits
    resolution
  • NAMAM

13
Timetable of observation and imagery dissemination
14
Summary of Satellite Operation and Data
Dissemination




X
15
Expected improvements of Products
  • Sea Surface Temperature (SST)
  • Aerosol Optical Thickness (AOT)
  • Cloud Water Vapor Motion Winds
  • (CMWs WVMWs)
  • Cloud Grid Information Data (CGID)

16
Sea Surface Temperature (SST)
  • IR4 (3.7mm) data was useful to discriminate low
    level clouds from cloud-free sea in nighttime
  • - Decrease the error due to misjudged low level
    clouds in nighttime

bias (mean)
RMSE (mean)
With 3.7mm -0.21 (K)
1.55 (K) Without 3.7mm
-0.29 (K)
1.78 (K)
Comparisons between satellite SST with/without
3.7mm data and buoy measurements ( Left bias,
Right RMSE )
17
  • IR channels data with 10 bits level resolution is
    expected to improve the accuracy of calculated SST

with 8 bits data
with 10 bits data CORR
0.994
0.998 RMSE
0.873
0.441
Comparisons between satellite SST and surface
temperatures of numerical weather prediction
(NWP) model ( Left SST
calculated with 8 bits IR simulation data
Right SST calculated with 10bits IR
simulation data )
18
Aerosol Optical Thickness (AOT)
  • VIS data with 10 bits level resolution will
    enable the calculated AOT resolution to be 0.01
    from 0.1

19
Cloud Water Vapor Motion Winds (CMWs and WVMWs)
  • 15 minutes interval observations increased the
    number of CMWs and WVMWs about 20
  • (Tokuno, 1997)

Cloud Grid Information Data (CGID)
  • CH4 (3.7mm) data will improve the classification
    of low level clouds in nighttime
  • (Tokuno, 1999)

20
For Your Reference
  • General Informations, Announcements and
    Imageries http//www.jma.go.jp/JMA_HP/jma/jma-e
    ng/satellite/index.html
  • Time Table http//www.jma.go.jp/JMA_HP/jma/jma-
    eng/satellite/NEWS/timetable_test.pdf
    http//www.jma.go.jp/JMA_HP/jma/jma-eng/satellite/
    NEWS/dissemination_plan.pdf
  • Technical Informations Samples
    http//mscweb.kishou.go.jp/
  • MANAM Examples http//mscweb.kishou.go.jp/user_
    support/manam_sample/mtsat_manam.htm

21
  • Thank you for your attention!

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