Overview on GK-2A Data and Products

Transcription

1 SCOPE-Nowcasting EP-1 Overview on GK-2A Data and Products Jae-Dong Jang NMSC

2 Geo-KOMPSAT-2A, AMI Sector Satellite in Orbit Operator Location Launch date Environmental payload and status GEO-KOMPSAT-2A E Q Advanced Meteorological Imager (AMI), Space Environmental monitoring payload Direct broadcast via UHRIT/HRIT/LRIT West P acific GEO-KOMPSAT-2B MOF(Ministry of Ocean and Fisher ies), ME(Ministry of Environment) E 2 nd Half 2019 Advanced Geostationary Ocean Colour I mager(goci-ii), Geostationary Environm ental Monitoring Spectrometer(GEMS) GEO-KOMPSAT-2A, AMI(Advanced Meteorological Imager) Multi-channel capacity: 16 channels Temporal resolution: within 10 minutes for Full Disk observation Flexibility for the regional area selection and scheduling Lifetime of meteorological mission: 10 years

3 Geo-KOMPSAT-2A, AMI Multi-channel capacity: 16 channels Temporal resolution: within 10 minutes for Full Disk observation Flexibility for the regional area selection and scheduling Lifetime of meteorological mission: 10 years Bands Center Wavelength Min(um) Max(um) Band Width (Max, um) Resolution (k m) GOES-R (ABI) Himawari-8 (AHI) VIS VIS VNIR MWIR LWIR VIS VIS NIR NIR NIR IR IR IR IR IR IR IR IR IR IR

4 Observation Area and Schedule

5 Development of GK-2A Ground Segment [GK-2A Ground Segment Architecture Overview] 5

6 Data Service Plan : LDUS System Development (Under detail design) AMI 16ch data will be serviced by CCSDS formatted UHRIT Telemetry on DVB- S2 Broadcasting Standard Service Area is same as COMS(El > 10 ) but required antenna diameter depends on the rain degradation margin. Required Hardware Area1(-1dB, EL=55 ) Component Antenna RF Chain Receiver Reception Server Storage Design 3.5m ~ 8m X-Band(8070/20MHz, LHCP) DVB-S2 Receiver CPU: Intel 3.0Ghz, 16Cores RAM: 32GB > 130TB/year required antenna Diameter : Area2(-2dB, EL=37 ) Kore a Indonesi a Philippine s Thailan d Sri Lank a Taiwa n Banglades h Australia Area3(-3dB, EL=10 ) Software : User Intuitive Design [UHRIT Service Area and Rain rate Map by ITU-R] <Summary screen> <Imagery search> <Statistics> 4

7 Data Service Plan : SDUS/MDUS System Development (Under detail design) [SDUS] LRIT service is redesigned for using on a ship mounting with an Omni directional antenna. Minimized SDR(Software Defined Radio) Receiver Contents will be satellite images, weather fax, etc. 2 Area 1 Area EL= 37 deg GK2A 128.2E EL= 55 deg ADC SDR Receiver Mini PC [Services Area] [SDUS Contents] [SDUS System] [MDUS] Downscaled 5 ~ 14ch data(tbc) will be serviced by COMS compatible HRIT telemetry. Compact SDR(Software Defined Radio) Receiver built in Receiving Server 3 Area 2 Area 1 Area Intuitive GUI Signal Strength/Status Receiving Status Processing Status [Services Area] 2.8m 3.3m 3.7m 3m Antenna SDR Receiver HRIT Stream Receiving Server HRIT File/Aux. Data HRIT File [MDUS System] Processing Server L1B File 3

8 Data Service Plan : Geo-KOMPSAT-2A [Via GK-2A broadcast] Broadcast all 16 channels data (UHRIT, full resolution) of meteorological observations Maintain L/HRIT broadcast corresponding to COMS five channels [Via Landline] Real-time service similar to Himawaricloud will be implemented (completed in 2018) GK-2A data also will be available in DCPC-NMSC ( [L1 Data Format] netcdf4(for each channels), with GSICS information [L2 Data Format] netcdf4(for each products) L1 Data Header Structure General Information Output Information Pixel File Information Projection Information Star Measurement Information INR Characteristics Information Image Geometry Quality Information using Star Measurements Registered Image Information Quality Area Image Information 8

9 GEO-KOMPSAT-2A : 52 Meteorological Products Structure of Product Development GEO-KOMPSAT-2A : 52 Meteorological Products status Products & issues ETRI User requirements (specifications) Integrated SW system Education & training NMSC Satellite Development Division Users in User readiness issues & Recommendations Algorithm Group Products issues for application Prototype algorithm Algorithm & application performance test SW Develpoment & Integration Group Testbed Functional & performance test/ Optimization Recommendation on the algorithm improvement Steering Committee on algorithm and application technique (International Review Team) Weather Forecast NWP Synoptic observation Application Group Pre-operational system Integration & stability test Aviation ETRI: Electronics and Telecommunications Research Institute 9

10 GEO-KOMPSAT-2A : Activities of Meteorological Products Current Status: The prototype algorithms of meteorological products were completed in February Activities of Development and Utilization Algorithm Improvement by regular review meeting of developers and the International Review Team (IRT) Product Validation using Himawari-8/AHI data as a proxy data evaluating product maturity User Readiness and Training Under constructing Convective Cloud and its Pre-environment Monitoring System Application feedbacks from users (e.g., forecasters) Training of how to utilize and analyze GK-2A meteorological products 10

11 Detailed 52 Meteorological Products Scene & Surface Analysis (13) Cloud & Precipitation (14) Aerosol & Radiation (14) Cloud detection Cloud Top Temperature Aerosol Detection Snow Cover Cloud Top Pressure Aerosol Optical Depth Atmospheric condition & Aviation (11) Atmospheric Motion Vector Vertical Temperature Profile 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 and Height Tropopause Folding Turbulence Surface Emissivity Cloud Optical Depth Visibility Total Ozone Surface Albedo Cloud Effective Radius Radiances SO 2 Detection Fire Detection Vegetation Index Vegetation Green Fraction Cloud Liquid Water Path Cloud Ice Water Path Cloud Layer/Height Downward SW Radiation (SFC) Reflected SW Radiation (TOA) Absorbed SW Radiation (SFC) Snow Depth Rainfall Rate Upward LW Radiation (TOA) Current * Blue: Primary Products Rainfall Potential Probability of Rainfall Downward LW Radiation (SFC) Upward LW Radiation (SFC) Convective Initiation Overshooting Top Detection Aircraft Icing

12 Operational Application using Satellite Products To be designed to maximize the utilization of the satellite products for forecasters and NWP Recommended using GK-2A and the other satellite data, if necessary NWP and the other ground observation Areas Nowcasting Typhoon & Ocean Hydrology & SFC & Verification Climate & Environmental Monitoring Contents Cloud analysis Heavy rainfall and snowfall analysis QPF Typhoon analysis system based on Satellite SST, red tide, freezing over the ocean 3D Winds analysis Soil moisture, Drought and Floods, Fire Fine Dust analysis Verification, grid and image composite technique Aerosol concentration, height, vertical distribution Greenhouse gases, atmospheric composition Energy budget, Air Quality model applications

13 ADP, AOD, DAOD Products Case study (Dust+Smoke) UTC ADP AOD DAOD UTC Nighttime UTC ADP AOD DAOD DAOD ADP AOD DAOD

14 Rainfall Rate Algorithm structure/flowchart

15 Rainfall Rate UTC AHI 11.2 μm TB AMI RR Algorithm Cloud Type DPR AMI RR GMI 15

16 Snow Cover GK-2A daily snow cover GMASI Snow Sea Case Results: POD = 83.99% / FAR = 16.52% Night Snow No Snow

17 Sea Ice GMASI Ice GK-2A daily sea ice Case Results: POD = 90.54% / FAR = 11.84% Night Sea ice Sea Land

18 Sea Surface Temperature Himawari-8 SST 10-Day Composite MCSST = a T + a T T ) + a ( T T )(sec θ 1) + a ( sec θ 1) 0 i 1( i j 2 i j 3 + a4 NLSST = a0ti + a1tsfc ( Ti T j ) + a2 ( Ti T j )(sec θ 1) + a3( sec θ 1) + a4 McClain [1985] Walton et al.[1998] Hybrid SST - Quasi-physical Algorithm (Kurihara et al., 2015) Multi-band SST - Optimal Estimation (Physical) Algorithm (Merchant et al., 2008; Koner et al., 2015)

19 Fog Night Day

20 Nowcasting Guidance Low pressure system L Cold front L Low level jet L Precipitation area Changma Front Meso-scale convective system Low pressure system (Direct impact)

21 Motion vector merging NWP and satellite based on motion vector merging Nowcasting for IR, WV, Rainrate, RGB images Lead time Existing algorithm NWP motion vector Improved algorithm

22 Motion vector merging based on Satellite (STATIC) merged motion vector (MERGED) (w STATIC =0.5, w DYNAMIC =0.5) based on Model (DYNAMIC) vector merging

23 Integrated Typhoon Analysis Products OHC SST SSTAnomaly Tmix MPI POT Wind Ocean heat content (OHC) Vertically mixed temperature (T mix ) Maximum potential intensity (MPI) Intensification Potential (POT) Vertical wind shear Convergence Divergence Vorticity.

24 Integrated Asian Dust Guidance

25 THANK YOU!