Xiang FangXiang FangNational Satellite Meteorological CenterNational Satellite Meteorological Center,, CMA CMA
Preparing for FYPreparing for FY--4A4A
Outline
1) Observation capability
2) System &Products
3) User preparedness
National Satellite Meteorological Center ,CMA
FengYun
Geostationary Satellites Launch Plan
20 11
20 12
20 13
20 14
20 15
201 6
20 17
2018
20 19
20 20
20 21
20 22
20 23
20 24
20 25
FY-2G
FY-2H
FY-4A
FY-4C
FY-4B
Observation capability continuality
FY‐4A plan to be launched in 2016
Observation capability continuality
FY‐2 D/E/F operational positions 86.5E,105E and 112.0E
Revision 201310
Coverage 2013
National Satellite Meteorological Center ,CMA
Observation capability continuality
Heritage operational positions from FY‐2 86.5E,105E and 112.0E
Revision 201310
Coverage 2015
New positions to apply79E,99.5E,112E ,123.5E 133E
AGRI GIIRS LMIAdvanced Geo.Radiation Imager
Geo. Interferometric Infrared Sounder Lighting Mapping Imager
14 Channels within 0.55~13.8μm 538 LWIR Channels375 S/MIR Channels
Central Frequency: 777.4nm
500mx1;1Kmx22Kmx4; 4Kmx7
16Km 7.8Km
S/N : 90 ~
200NEΔT:
0.2~0.7K
Radiometric Calibration accuracy: 1KSpectral Calibration accuracy:10ppm
S/N > =6
Full Disk < =15min Meso-scale : 35min(1000x1000km)China area: 67min(5000x5000km)
2ms
FY-4A Instruments
Observation capability continuality
FY-4A FY-2Stabilization Three-axis SpinDesigned Life 5~7 Years 4 Years
Observation Efficiency 85% 5%
Observation Mode Imaging +Sounding + Lightning Mapping Imaging Only
Main Instruments
AGRI :14 channelsSSP Resolution:0.5~4KmGlobal imaging:15minFlexible imaging :2D
VISSR: 5 channelsSSP Resolution:1.25~5KmGlobal imaging:30minFlexible imaging :1D
GIIRS:913 channelsSpectral Resolution: 0.8,1.6cm-1SSP Resolution:16Km
N/A
LMISSP Resolution:7.8Km N/A
SEMSHigh energy particlesMagnetic field
SEMHigh energy particles Solar X ray fluxes
Revision 201108
Advancement of FYAdvancement of FY--4A compared with FY4A compared with FY--22Observation capability continuality
Chinese FengYun
Geo. imaging capability
National Satellite Meteorological Center ,CMA
FY-2 F/G/H VISSR FY-4A AGRI
Channel Band Spatial Resolution Sensitivity Band Spatial
Resolution Sensitivity Main Application
Visible & Visible & NearNear--
InfraredInfrared
0.450.45~~0.490.49 11 S/NS/N≥≥90 (90 (ρρ=100%)=100%) AerosolAerosol
0.55~0.75 1.25 2.3 @ρ=1% 0.550.55~~0.750.75 0.50.5~~11 S/NS/N≥≥200 (200 (ρρ=100%)=100%)
S/NS/N≥≥5(5(ρρ=1%)@0.5K=1%)@0.5K mm
Fog, Fog, CloundClound
0.750.75~~0.900.90 11 VegetationVegetation
Short- wave
Infrared
1.36~1.39 2 S/N≥200 (ρ=100%)S/N≥200 (ρ=100%)
CirrusCirrus1.58~1.64 2 Cloud,SnowCloud,Snow
2.1~2.35 2~4 Cirrus,AerosolCirrus,Aerosol
MidMid--wave wave InfraredInfrared
3.53.5~~4.0(High)4.0(High) 22 NEΔT≤0.7K(300K) Fire
3.5~4.0 5 0.22K@300K 3.53.5~~4.0(Low) *4.0(Low) * 44 NEΔT≤0.2K(300K) Land surfaceWater Water VaporVapor
5.85.8~~6.76.7 44 NEΔT≤0.3K(260K) WV6.3~7.6 5 0.30K@260K 6.96.9~~7.37.3 44 NEΔT≤0.3K(260K) WV
Long-wave Infrared
8.0~9.0* 4 NEΔT≤0.2K(300K) WV,Cloud10.3~11.3 5 0.12K@300K 10.3~11.3* 4 NEΔT≤0.2K(300K) SST11.5~12.5 5 0.16K@300K 11.5~12.5* 4 NEΔT≤0.2K(300K) SST
13.2~13.8* 4 NEΔT≤0.5K(300K) Clound,WV
Observation capability continuality
Normal Mode 56 FD Flooding Season Mode 56 FD+40NHAGRIAGRI Observation Modes
FD NH
NH
NHFD
FD FD NH
2X2X faster imaging faster imaging 160X 160X more datamore data
2005 FY-2C
FD 60min
2006 FY-2C
FD 30min
2011 FY-2CRRS 10 min
2015 FY-2+FY-4
FD: 15min
RRS: 1-5min
2014-2015 FD: 30minNH: 15minRRS: 6min
2007 FY-2C+FY-2D
FD 30min
NH 15min
Chinese FengYun
Geo. imaging capability
Observation capability continuality
FY‐4A GIIRS Normal observation mode
Regional:55 min 4500KMx4500KM Meso-scale:30 min 1000KMx1000KM
Revision 201310
Observation capability continuality‐new capabilities
National Satellite Meteorological Center ,CMA
National Satellite Meteorological Center ,CMA
LMI: Lighting Mapping ImagerSpatial resolutionSpatial resolution about 6 km at SSPabout 6 km at SSP
Sensor sizeSensor size 4004003300 00 22
WaveWave--length at centerlength at center 777.4nm777.4nm
BandBand--widthwidth 1nm1nm±±0.1nm0.1nm
Detection efficiencyDetection efficiency >90%>90%
FalseFalse--alarm ratioalarm ratio <10%<10%
Dynamic rangeDynamic range >100>100
SNRSNR >6>6
Frequency of framesFrequency of frames 2ms2ms((500 Frames per sec.500 Frames per sec.))
QuantizationQuantization 12 12 bitsbits
Measurement ErrorMeasurement Error 10%10%
Observation capability continuality‐new capabilities
MCS: Mission Control SystemDTS: Data and Telemetry SystemNRS: Navigation and Registration SystemCVS: Calibration and Validation SystemPGS: Product Generation SystemADS: Application Demonstration SystemSWS: Space Weather SystemCNS: Computer and Network SystemDSS: Data Distribution and Service System
System &products readiness
FY‐4 Ground System
FY‐4 Ground System Developing Status
National Satellite Meteorological Center ,CMA 4th Asia‐Oceania Meteorological Satellite Users Conference
PrePhasePrePhase::End user requirement analysis End user requirement analysis
20062006‐‐20092009Instrument requirement Instrument requirement
20062006‐‐20092009Phase A: Science(Algorithm Development)Phase A: Science(Algorithm Development)Product requirement analysis & tradeoff study Product requirement analysis & tradeoff study
20082008‐‐2011 2011 Algorithm Development Algorithm Development
20092009‐‐20132013Phase B:Phase B:R&D system design R&D system design
20112011‐‐20132013R&D system integration & test R&D system integration & test
20122012‐‐20142014Phase C: Enginnering (System Integration)Phase C: Enginnering (System Integration)Operational system Design Operational system Design
20132013‐‐20152015Operational system integration & test Operational system integration & test
20142014‐‐2015 2015
System &products readiness
2010 2011 2012 2013 2014 2015AWG foundation
Algorithm Design Review – ADR
Critical Design Review - CDR
Test Readiness Review - TRR
Code Unit Test Review - CUTR
Algorithm Readiness Review
ProjectProject
R&D, In‐Orbit TestR&D, In‐Orbit Test
Algorithm Theoretical Basis DocumentsATBD (Version 1.0)
Software codeTest data
ATBD (Version 2.0) Standard prototype softwareSimulation data
Final version of ATBD
Algorithm Work Group (AWG) Schedule
System &products readiness
FYFY--44Products
Revision 201112
3434 key operation products from AGRI,GIIRS & LMI defined and developed
No .No . Products Products No.No. ProductsProducts No.No. ProductsProducts
1 Clear Sky Masks 13 Downward Longwave Radiation: Surface 24 Fire/Hot Spot Characterization
2 Cloud Top Height & Temperature& Pressure 14 stratified water vapor 25 Land Surface Emissivity
3 Cloud Classification 15 Ozone Profile & Total 26 Snow Cover
4 Cloud Properties(Night) 16 Legacy Vertical Moisture Profile(Cloud) 27 High-energy particle distribution
5 Cloud Properties(Day) 17 Legacy Vertical Moisture Profile(Clear) 28 Magnetic field intensity
6 Aerosol Detection 18 Derived Motion Winds 29 Effects of the space environment
7、8Aerosol Optical Depth
(Land/Ocean) 19 Rainfall Rate/QPE 30 Fog
9 Downward Shortwave Radiation: Surface 20 Convective Initiation 31 Land Surface (Skin) Temperature
10 Upward Longwave Radiation: Surface 21 Tropopause Folding Turbulence
Prediction 32 Land Surface Emissivity
11 Reflected Shortwave Radiation: TOA 22 Lightning Detection 33 Image Product
12 Upward Longwave Radiation: TOA 23 Sea Surface Temperature (skin) 34 RGB
System &products readiness
Six Types Proxy dataSix Types Proxy data::MODIS, SEVIRI, FY‐2, Simulation Data of AGRI, Simulation Data of
LMI, Simulation data of Space weather products
Proxy Data
Product Simulation DataInjection longwave Radiation MODIS
Downward Shortwave Radiation: Surface
Simulation Data
Upward Longwave Radiation: Surface
MODIS
RGB synthetic(Atmospheric correction cloud )
MODIS
Shortwave Radiation reached Surface
MODIS
Atmospheric temperature and humidity & Ozone Profile(Clear sky )
Simulation Data
Convective Initiation Simulation DataTropopause Folding Detection Simulation DataLand Surface Emissivity Simulation DataLegacy Vertical Moisture Profile(Cloud)
Simulation Data
Aerosol Detection(Land) MODISReflected Shortwave Radiation: TOA
MODIS
Fire/Hot Spot Characterization MODIS
Product Simulation DataCloud products SEVIRI
Fog Detection FY‐2
Derived Motion Winds FY‐2
Space weather products Simulation Proxy Data
Lightning Detection Simulation Proxy Data
Imager stratified water vapor Simulation Data
Sea Surface Temperature (skin) FY‐2
Dust Detection MODIS
Land Surface (Skin) Temperature FY‐2
QPE Simulation Data
Snow Cover FY‐2
System &products readiness
Cloud product simulation of FY-4A(MSG SEVIRI is used as proxy)
Cloud Mask
Cloud Type Cloud Phase
System &products readiness
Atmospheric
correction
Choose the 1.6 μm , 0.86 μm ,0.64 μm channel of multi‐channel scanning imaging radiometer ,
through the atmospheric correction to rapid generate the RGB image.
Difference:
RGB Image
System &products readiness
FY-4A
MODIS
AOD(550nm) Angstrom 指数 SM Concentration
AOD(550nm) Angstrom Exponent SM Concentration
Aerosol Optical Depth
MODIS MODIS
FY-4A FY-4A
Proxy Data: MODIS;
Band : 0.45~0.49 μm; 0.55~0.75 μm; 1.36~1.39 μm; 2.1~2.35
μmAlgorithm: Dark Target 2008.1.1_0300(UTC)
LMI product development
National Satellite Meteorological Center ,CMA 4th Asia‐Oceania Meteorological Satellite Users Conference
Pulses Photons 发光事件Flash scale
Flash 36
Event 2897Group 420
Radiance 4721
Courtesy of Dr. Dongjie Cao –NSMC FY‐4 AWGof
System &products readiness
FY-4 User preparedness:Data Distribution and Service System
Main functions:1.To provide downlink data for DB users
2.To make FY-4 data and products available
via CMACast,Internet, and dedicated links
3.To establish a stable and reliable data
archiving and management system
4.To build an EWIB system to response to
emergency weather events
User preparedness
29
SWAP --Development, Promotion and Training
SWAP development and test was finished in March, 2013
Current version(SWAP 1.0) works for FY-2, and will be upgraded for FY-4
Domestic promotion and training activities have been organized
The system has been installed for trial application in more than 30 provincial weather services in China
The English version have been developed.
User preparedness
Preparing Users to FY‐4
• Efficient and professional analysis tools
for forecasters
• supporting multiple data, including
polar satellite data, conventional data
and NWP products etc.
SWAP:Satellite�Weather�App.�Platform
Contours Contours anaana..
NWP data overlayNWP data overlay
Ground dataGround data
User preparedness