Current Status and Future Plan of KMA Satellite Program

Transcription

1 The 5th Asia-Oceania Meteorological Satellite Users Conference( ) Current Status and Future Plan of KMA Satellite Program Sang Jin LYU National Meteorological Satellite Center Korea Meteorological Administration jy

2 Contents 1. Current Status of COMS 2. Utilization of COMS data 3. Plan for Geo-KOMPSAT-2A 2

3 Current Status of COMS 3 3

4 COMS Program COMS is the first multi-purpose geostationary satellite for Korea in the application of Meteorology, Ocean and Communication Meteorological Mission : Continuous Observation to support weather forecasting and early detection of severe weather phenomena Development period : (8 yrs) Orbit : E 2 E over equator (36,000 km) Design life : 7 years Launch : June 2010 Operation : April 2011 ~ Ka-band Antenna Communication Ocean and Meteorological Satellite Meteorological l Imager GOCI 4 4

5 COMS Ground Segment COMS HRIT/LRIT MDUS/SDUS User Agencies KMA NWP NMSC KARI (Korea Aerospace Research Institute) Internet HRIT (High Rate Information Transmission) LRIT (Low Rate Information Transmission) End User 5 5

6 Observation Schedule for COMS LA ENH every min FD FD every 3 3 hour hour Korean Peninsular 8 times an hour 6 6

7 COMS Data Service (via COMS) L/HRIT Dissemination Schedule UTC 08 KST MI Schedule ENH 01 HRIT LRIT 00 UTC 09 KST MI Schedule ENH 02 ENH 03 ENH 04 ENH 05 HRIT ENH 01 ENH 02 ENH 03 ENH 04 LRIT ENH 01 ENH 02 CT 01 CT H 0 1 CTT 01 ENH 03 GO CI 0 1 ENH UTC 10 KST MI Schedule ENH 06 ENH 07 ENH 08 ENH 09 HRIT ENH 05 ENH 06 ENH 07 ENH UTC 11 KST LRIT ENH 05 ENH 06 ENH 07 GO CI 0 2 ENH 08 MI Schedule ENH 10 FD 01 ENH 11 HRIT ENH 09 ENH 10 FD UTC 12 KST LRIT ENH 09 ENH 10 GO CI 03 FD 01 MI Schedule ENH 12 ENH 13 ENH 14 ENH 15 HRIT ENH 11 ENH 12 ENH 13 ENH 14 COMS MI Schedule Modification for Satellite Operation ENH 13 LRIT ENH 11 ENH 12 Station keeping : 2 times/week (N-S(TUE), E-W(THR)) House keeping : 2 times/day (06:45 15:21 UTC) Albedo monitoring : 1 time/day (Around 21:35 UTC) 04 UTC 13 KST MI Schedule ENH 16 ENH 17 ENH 18 ENH 19 HRIT ENH 15 ENH 16 ENH 17 ENH 18 LRIT ENH 15 ENH 16 ENH UTC 14 KST MI Schedule ENH 20 FD 02 ENH 21 Dark image observation : 1 time/3 months Moon observation : 1 time/month HRIT ENH 19 ENH 20 FD 02 LRIT ENH 19 ENH 20 CT 02 CT H 0 2 CTT 02 GO CI GO CI 0 4 GO CI FD 02 ENH 14 ENH 18 7

8 Result of COMS Data Service (via COMS) Average of COMS data services for HRIT: 99.31% (April 2011 ~ August 2014) COMS HRIT Services : 104,851/105,023 (April 2011 ~ August 2014, for 40 months) 8 8

9 COMS Data Services Service via COMS(HRIT/LRIT) - Asia-Pacific region covering 30 nations with 2.2 billion people - 10 domestic stations and several foreign stations are operating KMA supports some foreign stations via ODA Service via FTP Domestic - 21 domestic KMA-related organizations such as the military, broadcasting companies, disaster prevention centers and local government International - EUMETSAT, CIMSS(US), Hongkong (on progress) etc. Service via Internet - NMSC provides COMS Level 1B data of all five channels and Level 2 products to users by posting the processed data on NMSC Website ( p g j p) 9 9

10 COMS Data Services w.r.t. WIS * 10

11 Cooperation with Asian-Pacific Countries Project : Establishment of receiving and analysis system of COMS Targets : Sri Lanka (`10~`12), Philippines (`13~`14), Laos (`13~`14) Contents : Receiving system(h/w, S/W) Operational monitoring and analysis system Technological support & Training Antenna Data Reception Data Processing Antenna Processing S/W Receiver m odule View S/W Recording Feed Image Display Image Processing Storage Data Acquisition S/W Printing LNA/Downconverter Printer 11

12 International Conference WMO RA II Pilot Project Virtual Laboratory(VLab) High Profile Trainin g Event 4~6 October, 2012 (3days) / NMSC The 2nd Meeting of the Coordination group of the RA II Pilot Project 8 October, 2012 / Suite Hotel, Jeju Island, Korea The 3rd Asia-Oceania Met. Sat. Users Conference 29~12 October 2012 / Suite Hotel, Jeju Island, Korea The 19th International TOVS Study Conference 26 March ~ 1 April, 2014 / Lotte Hotel, Jeju Island, Korea * 12

13 Utilization of COMS Data 13

14 COMS Data Products 16 Baseline Products : Development ( ) 2010) and operation (2011~) CLD AMV LST (Atmospheric Motion Vector) (Land Surface SST (Cloud Detection) Temperature) (Sea Surface Temperature) SSI (Snow/Sea Ice) TPW (Total Precipitable Water) Fog CTT/CTH (Cloud Top Temperature/Height) UTH (Upper Tropospheric Humidity) COMS CA (Cloud Analysis) CSR (Clear Sky Radiance) AOD (Aerosol Optical Depth) INS (Insolation) AI (Aerosol Index) OLR (Outgoing Longwave Radiation) RI (Rainfall Intensity) 14

15 COMS baseline Products Group Product Name Area Alg. Dev. Remarks Cloud Detection (CLD) FD / ENH / LA NIMR Apr 2011 Fog Detection (FOG) East Asia NIMR Apr 2011 Scene Snow/Sea Ice (SSI) FD / ENH + comp. NIMR Jan 2012 Analysis Aerosol Index (AI) East Asia Pusan NU Apr 2011 Aerosol Optical Depth (AOD) East Asia YSU Jan 2012 Cloud Type (CT) FD / ENH / LA Cloud An Apr 2011 Cloud Amount (CA) FD / ENH / LA alysis SNU Cloud Informa (CLA) Cloud Phase (CP) FD/ENH/LA / Jan 2012 tion Cloud Optical Thickness (COT) FD / ENH / LA Jan 2012 Cloud Top Temp./Height (CTTH) FD / ENH / LA SNU Apr 2011 Rainfall Intensity (RI) East Asia / LA Kangnung NU Aug 2011 Water vapor In Total Precipitable Water (TPW) East Asia Kyoungpook NU Jan 2012 formation Upper Tropospheric Humidity (UTH) East Asia Kyoungpook NU Aug 2011 Surface Inform ation Radiation Infor mation Wind Sea Surface Temperature (SST) FD / ENH + comp. SNU Aug 2011 Land Surface Temperature e (LST) East Asia Kongju NU Jan 2012 Clear Sky Radiance (CSR) FD / ENH NIMR Jan 2012 Insolation (INS) FD / ENH Pukyoung NU Jan 2012 Outgoing Longwave Radiation (OLR) FD / ENH + comp. SNU Aug 2011 Atmospheric Motion Vector (AMV) Enhanced Northern H emi. NIMR Apr 2011 * 15

16 COMS data quality monitoring Algorithm improvement from feedback and continuous effort for user satisfaction through the COMS data quality monitoring and evaluation in real time Meteorological products quality assessment system Meteorological products Ancillary data Collocation COMS Quality mon itoring Application aft er improving d ata processing module Map, Day, Month, Season Verification index Complement o f ATBD * 16

17 Utilization (1/2) COMS Composite Images Disaster Mitigation Short-term / Nowcasting 17

18 Utilization (2/2) Climate/Environment Monitoring Ocean Meteorology Agriculture Hydrological Application 18

19 QPE(Quantitative Precipitation Estimates) from COMS QPE from Tb_IR & Rain rate_mw 15 min 12 hrs Tb IR + RR SSM/I = COMS RI QPE from Tb_IR. WV & Rain rate_radar Tb IR, Tb WV + RR Radar = COMS CRR 19 *

20 QPE(Quantitative Precipitation Estimates) from GEO(COMS) Heavy rain monitoring from COMS Rainfall Intensity : Aug 29, *

21 Nowcasting & Short-range Weather Forecasting Integration ti of COMS data with ground-based d observation data Infrared image Infrared image + AWS Infrared image + Radar 21 *

22 Tropical Cyclone Analysis To find the center position of TC using RGB products RGB convective cloud product Conventional IR Image th Typhoon DANAS ( :45UTC) 22

23 Tropical Cyclone Analysis Derivation of Sea Surface Wind from MW data regardless of rain condition GCOM-W1 AMSR2 - launched in May,

24 Tropical Cyclone Analysis Derivation of Sea Surface Wind from MW data regardless of rain condition th Typhoon NEOGURI ( :45UTC) Obs. Wind vs Retrieved Wind Retrieved Wind from 6.9GHz Retrieved Wind from 36.5GHz 24

25 Development of techniques for supporting numerical weather prediction (1/2) Development of techniques for supporting NWP COMS products quality management(amv, sea ice, snow etc.) NWP sensitivity test Analysis of characteristic of satellite data utilized in NWP Improving RTM simulation Accuracy is Maximized in East Asia area 1% accuracy improvement of NWP through COMS AMV assi milation * 25

26 Development of techniques for supporting numerical weather prediction (2/2) COMS Clear Sky Radiance (CSR) 500 GPH RMSE difference between Cntl and COMS CSR Total impact per each observation type (Forecast Sensitivity to Observation) Impact study for COMS CSR assimilation (2.6% improved) 26

27 Aviation Met. Services Development of turbulence & icing area analysis based on COMS data Aviation meteorological information to KAMA Turbulence, Flight Icing Convective Initiation, Tracking of convective cloud Asian dust storm, Volcanic Ash * Flight Icing * Turbulence COMS Icing (19:45 UTC 2 Sep. 2013) COMS IR(17:45 UTC 18 May 2013) * 27

28 Space Weather Services Development of public warning system & prediction model for the space weather services Space environment sensor to be installed on GEO-KOMPSAT-2A * 28

29 Space Weather Forecast & Warning service and Monitoring System from KMA Space Weather Forecast & Warning KSEM on GK-2A, Aviation weather in polar airways, Ionospheric weather Building space weather monitoring system Development of integrated space weather prediction model Development of techniques for space weather forecast and warning Building integrated space weather operation system, etc Building Space Weather Development Operating of CME System Upgrading Analysis Space systemweather Improvement Monitoring System of Space Weather Service 29

30 Plan of Geo-KOMPSAT-2A 30

31 (GK-2A) 31

32 Geo-KOMPSAT-2 Program GK-2A for the next generation Meteorological Imager and SWx monitoring GK-2B for the Ocean Color and Atmospheric Trace Gas monitoring Meteorological Sensor Space weather Sensor KMA Geo-KOMPSAT-2A Geo-KOMPSAT-2B Ocean / Environmental Sensor 2012 ~ 2017 (6 years) Ground Segment Data Processing System 32

33 AMI(Geo-KOMPSAT-2A) AMI(Advanced Meteorological Imager) 16 spectral bands Geo-KOMPSAT-2A AMI COMS MI Channel Band name wavelength (µm) resolution (km) SNR NEdT(K) (240/300K) Radiometric Accuracy Wavelength (µm) Resolution (km) 1 VIS % 2 VIS % 3 VIS % VIS % 5 NIR % 6 NIR % 7 IR /0.2 1K IR /0.1 1K 9 IR /0.1 1K IR /0.12 1K 11 IR /0.1 1K 12 IR /0.15 1K 13 IR /0.2 1K IR /0.1 1K 15 IR / K IR / K 33

34 KSEM (Korean Space Environmental Monitor) KSEM specification Sensor U nit Measurement Ra nge Accuracy Time Reso lution PD 100KeV ~ 2MeV <30%(ΔE/E) 0.33s Remark 6 measurement direc tion MG -350nT ~ +350nT <1nT <0.1s Boom type CM -3pA/cm 2 ~+3pA/c m 2 <0.01 pa/cm 2 < 1s - Particle detector (3ea) Magnetic field sensor(2ea) Charging Monitor(1ea) 34

35 Development of GK-2A Ground Segment 35

36 Development of GK-2A Ground Segment Outline Development of GeoKOMPSAT-2A ground segment - Develop Level 2 products algorithms - Develop integrated analysis and application facilities - Develop meteorological/space weather data processing system - Establish satellite control system - Develop data management and service system - Integration test & normal operation preparation Period : 2014 ~ 2019 (6yrs) Mission Enhancing forecast/climate monitoring based on high resolution measurements Generation of the baseline meteorological products, and application to hydrology, agriculture, disaster mitigation etc. Dissemination of GK-2A data via satellite broadcast system, LRIT/HRIT/UHRIT Supporting satellite operation with space weather monitoring 36

37 Development of GK-2A Meteorological Products Scene & Surface Analysis Cloud & Precipitation (14 Atmospheric condition & Aerosol & Radiation (14) (13) ) Aviation (11) Cloud detection Cloud Top Temperature Aerosol Detection Snow Cover Cloud Top Pressure Aerosol Optical Depth Atmospheric Motion Vecto r Vertical Temperature Profil e Sea Ice Cover Cloud Top Height Asian Dust Detection Vertical Moisture Profile Fog Cloud Type Asian Dust Optical Depth Stability Index Sea Surface Temperature Cloud Phase Aerosol Particle Size Total Precipitable Water Land Surface Temperature Cloud Amount Volcanic Ash Detection an d Height Tropopause Folding Turbul ence Surface Emissivity Cloud Optical Depth Visibility Total Ozone Surface Albedo Cloud Effective Radius Radiances SO 2 Detection Fire Detection Cloud Liquid Water Path Downward SW Radiation ( SFC) Convective Initiation Vegetation Index Cloud Ice Water Path Reflected SW Radiation (T OA) Overshooting Top Detectio n Vegetation Green Fraction Cloud Layer/Height Absorbed b SW Radiation (S FC) Aircraft Icing Snow Depth Rainfall Rate Upward LW Radiation (TO A) Current Rainfall Potential Downward LW Radiation ( SFC) Probability of Rainfall Upward LW Radiation (SFC ) 37

38 Development of Integrated Analysis & Application Facilities Typhoon Nowcasting Aviation Marine Weather Numerical We ather Predictio n Forecast support(21) Analysis support(19) Center position Intensity & Central pressure Max. wind speed & Radius of 15m/s WS Development & Weakening condition Trajectory & Prediction Cloud analysis Precipitation analysis Yellow dust analysis Convective cloud analysis Severe weather analysis Air-route cloud analysis Turbulence analysis Aircraft icing analysis Volcanic Ash analysis SST analysis Ocean current analysis Sea fog analysis Sea ice analysis Conceptual mo del Surface & Environmental Analysis Statistical Analy sis Objective analysis Objective prediction Real-time analysis of severe weather Typhoon conceptual model JANGMA conceptual model Wildfires analysis Drought analysis Flood analysis Heavy snow analysis Aerosol analysis Smog analysis Fog analysis Time series analysis Spatial analysis Down-scaling analysis Sat. Data composition & analysis Composition into uniform space-time grid Data quality analysis Predicted d image products Data monitoring i tech. Error analysis of NWP input data Forecast Sensitivity Test 38

39 Development of data processing and application technique Production of various products - Support for quantitative data extraction Black and White image Detection of yellow dust/fog by using RGB composite image Rainfall TPW Greenhouse gases Color composition Yellow dust Wildfire SST Sea surface wind COMS GEO-KOMPSAT-2A Insolation Upward radiation AMV Support for integrated forecast analysis b y using various application technique Color composition Fog COMS Black and White image GEO-KOMPSAT-2A Color image 39

40 COMS MI vs. GEO-KOMPSAT-2A AMI 4 times spatial resolution COMS VI 1km IR 4km 3 times number of channels Geo-KOMPSAT-2A VI 0.5~1km IR 2km COMS Geo-KOMPSAT-2A Geo KOMPSAT 2A 1 channel (achromatic) 4 channels (color) 3.5 times number of products COMS Geo-KOMPSAT-2A Geo KOMPSAT 2A Cloud/Precipitation (5 19) VI 4 times temporal resolution Radiation/aerosol 1 Hr 2 channels NIR 1 FD O Atmospheric Motion/Conditions(3 4 FD 4 channels 2 NH (5 16) 10 NH 6) 10 channels S f Surface information i f ti (3 IR 11)... 4 Korea Every 2 min Korea 5 channels 16 channels 16 products 52 products 40 40

41 Development of techniques in space weather Korea Space Environment Monitor(KSEM) Measurement of electron on mid energy range and magnet ic field Data Products(5) - Time(satellite position) - Energy channel (electron) - Particle flux (each direction) - Magnetic field flux(3axis ) - Background flux - Noise - Payload monitoring data (Voltage, darkcurrent, etc.) - real-time high energy par ticle distribution over the radiation belt - 3D particle distribution / prediction - deep dielectric charging prediction i index - geomagnetic storm index (2) 41

42 Milestone for the Geo-KOMPSAT-2A Satellite bus design and Review Integrate Module Satellite system integration Launch/IOT/Operation PAYLOAD And Satellite Analysis of system requirements Start SRR Preliminary design PDR Critical design EQSR /CDR Instrument Integration and test System Integration and test Environmental TRR Test Delivery Prepare To launch launch / IO T Launch Satellite operation Operation/utilization / service GROUND SYSTEM Preliminary design Critical design Implementation /verification Integration test /idealization IOT /Supporting operation data receiving and processing system System requirements Preliminary de /Standards creation sign Critical design System implemen tation Install /Testing Training o perator Launch Supporting o peration satellite control system Review and analysis of r equirements/standards/ design Selection of TTC and RF production c ompanies Integration a nd install TT C system Install control S/W and interf ace testing Training o perator Test operation and verification data processing system data management and service system Algorithm development I analysis of user requirements -set up system requirements -Preliminary/critical design Algorithm development II -Algorithm development complete System construction -SW idealization 2015 ~ ~ Create system -Verify system Test operation and verification -test operation and complemen t 42

43 Plan for LEO Satellite 43

44 LEO Meteorological Satellite LEO satellite o peration Observation i n all-weather conditions Generating numerical m odel input data (Cloud, land surface, Ocean, Con struction of Atmosphere data) Monitoring Climate chan ge factor (sea ice, stratospheric and tropos pheric temperature, water cycle fa ctor) Improve weather forecast accu racy Standard monitoring of severe weather Water control for preparing dis aster Understanding climate change Managing future water resourc es Preparing future climate International Satellite Program (A-train, GPM, etc.) Standard observation of weather factor (heavy rain, typhoon precipitation, snow cover, strong wind) Advanced country of weather o bservation-contribution to intern ational society, improving globa l positioning COMS + LEO s atellite joint oper ation system Mutual complement Synergy effect 44

45 LEO Satellite development Secure a budget Satellite development Plan research Generic technology research - LEO meteorological satellite instruments technology research - LEO meteorological satellite development mid-long term roadmap - International technology development cooperation research Secure a budget for LEO satellite - Political and technical validity - Economical validity and analysis of benefits - Surveying industrial i ripple effects and proposing the way of improving i manpower Development of the LEO meteorological satellite -Developing instruments of the LEO satellite - Satellite bus, system integration and developing testing technique - Ground segments development and secure a image quality technique Launch /Utilization Application of data Utilization plan - Apply to weather, climate, earthquake, volcano, disaster, etc. - Data utilization research for global water/climate, etc. - Supply standard input data of numerical model 45

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