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1 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL.

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Presentation on theme: "1 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL."— Presentation transcript:

1 1 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES Non-meteorological applications for next generation geostationary satellites (GK-2A) of Korea Meteorological Administration (KMA)

2 2 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 GEO-KOMPSAT-2 program

3 3 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 – 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 GEO-KOMPSAT-2A AMI (Advanced Meteorological Imager)

4 4 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 Full Disk Regional Area(RA) : 6200 X 5900 km (EW X NS) (TBD) Extended Local Area(ELA) : 4300 X 2900 km (EW X NS) (TBD) Plan 1: Full Disk (1) + ELA (4) / 10 minutes Plan 2 : Full disk (1) + RA (2) / 10 minutes Observation Area and Schedule

5 5 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 GEO-KOMPSAT-2A Data Service Plan [Via GK-2A broadcast] Broadcast all 16 channels data (UHRIT) of meteorological observations Maintain L/HRIT broadcast corresponding to COMS five channels [Via Landline] Cloud service is under development (completed in 2018) Renovated web-based service system is under development (completed in 2018) GK-2A data also will be available in DCPC-NMSC (http://dcpc.nmsc.kma.go.kr) Categories UHRIT COMS-like H/LRIT HRITLRIT Service Data Rate< 31 Mbps3 Mbps~512 Kbps Frequencies Uplink : S-band Downlink : X-band Uplink : S-band, Downlink : L-band * Same Frequencies band with COMS Data Type AMI Image(16 Ch.) Alphanumeric text Encryption Key Message * Additional info could be added in the future AMI Image(5 Ch.) Alphanumeric text Encryption Key Message GOCI-II products(TBD) AMI Image (5 Ch.) Alphanumeric text Encryption Key Message Lv2 products GOCI-II image file ModeFDFD, ENH StationLDUSMDUSSDUS

6 6 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 The algorithm prototype of 23 (primary) products have developed by 4 algorithm groups and 29 (secondary) products will be developed by the end of 2016 MODIS, SEVIERI, COMS, and AHI data are used as proxies to evaluate each algorithm Meteorological products

7 7 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 Scene & Surface Analysis (13)Cloud & Precipitation (14)Aerosol & Radiation (14) Atmospheric condition & Aviation (11) Cloud detectionCloud Top TemperatureAerosol DetectionAtmospheric Motion Vector Snow CoverCloud Top PressureAerosol Optical DepthVertical Temperature Profile Sea Ice CoverCloud Top HeightAsian Dust DetectionVertical Moisture Profile FogCloud TypeAsian Dust Optical DepthStability Index Sea Surface TemperatureCloud PhaseAerosol Particle SizeTotal Precipitable Water Land Surface TemperatureCloud Amount Volcanic Ash Detection and Height Tropopause Folding Turbulence Surface EmissivityCloud Optical DepthVisibilityTotal Ozone Surface AlbedoCloud Effective RadiusRadiancesSO 2 Detection Fire DetectionCloud Liquid Water PathDownward SW Radiation (SFC)Convective Initiation Vegetation IndexCloud Ice Water PathReflected SW Radiation (TOA)Overshooting Top Detection Vegetation Green FractionCloud Layer/HeightAbsorbed SW Radiation (SFC)Aircraft Icing Snow DepthRainfall RateUpward LW Radiation (TOA) CurrentRainfall PotentialDownward LW Radiation (SFC) Probability of RainfallUpward LW Radiation (SFC) Detailed 52 meteorological products

8 8 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 Development Schedule(2014~2018) 2014-2016 : Algorithm Development 2017-2018 : Validation and Integration of Algorithm for Operation 4 Algorithm Groups Goal & Strategy “more accurate, consistent, reliable” meteorological products “optimal estimation” for consistency within products “artificial intelligence” for improvement of some products accuracy “algorithm test-bed” for optimizing scientific algorithm to operation system “international review team” for improvement of the algorithm development Cloud and Precipitation Radiation and Aerosol Scene analysis and Surface information Atmosphere and Aviation 52 Meteorological Products

9 9 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 Application areas AreasContents Nowcasting Cloud analysis Heavy rainfall and snowfall analysis QPF Typhoon & Ocean Typhoon analysis system based on Satellite SST, red tide, freezing over the ocean 3D Winds analysis NWP Satellite data preprocess for NWP data assimilation Hydrology & SFC Soil moisture, Drought and Floods, Fire detection Fine Dust analysis Verification, grid and image composite technique Climate & Environmental Monitoring Aerosol concentration, height, vertical distribution Greenhouse gases, atmospheric composition Energy budget, Air Quality model applications, Volcanic Ash

10 10 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 Goal : Drought determination using VHI (Vegetation Health Index) Procedure  Improvement of sensitive variable in order to explain vegetation stress by VHI  Considering seasonal and individual vegetation difference with respect to change weight of VHI and TCI (Temperature Condition Index)  The algorithm will be developed by using both GK2A and GK2B data Support Comprehensive Drought information systems of KMA Drought

11 11 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 Goal : Flooding real-time monitoring Procedure  Using analysis technique development of GK-2A RGB and Reflection (Left) RGB composite, (right) detection of flooding region on Feb. 19, 2010 from Ireland et al., 2015 Flooding

12 12 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 Forest Fire

13 13 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 Goal : Aerosol density and height Procedure  Aerosol height estimated by statistical regression equation model using aerosol optical depth, surface observation, other metrological element  Aerosol height algorithm based O4 AMF(air mass factor) Aerosol RGB ImageGK-2A Algor. AOD (550nm)MODIS DT AOD (550nm) Smoke/Haze Episode RGB ImageGK-2A Algor. AOD (550nm)MODIS DT AOD (550nm) Dust Episode

14 14 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 Goal : Detect volcanic eruption and ash movement Procedure day: BT 11 70, ρ 3.9 /ρ 0.66 >0.6 night: BT 11 70 (Lee et al., 2014, 2015) Volcanic Ash Mt. Shinmoedake eruption, Japan (26 Jan 2011) MODIS

15 15 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 01:24 UTC 30km X 60km 00:54 UTC 1x1.25deg 01:15 UTC 4km Lee et al (RSE, 2016)

16 16 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 Rn = LE + H + G  LE = Rn - H H = Comparison of evapotranspiration a) Daily b) 7days(±3) average c) Synthetic daily  Annual output rate a) dailyb) Synthetic daily 7days(±3) average Synthetic daily RMSD0.9280.768 Bias0.5740.060  Scatter plot (2013.3.4) a) 7days(±3) averageb) Synthetic daily Improve the Algorithm with coefficients and input data (2016) Evapotranspiration

17 17 JOINT CGMS/CEOS SIDE EVENT NON-METEOROLOGICAL APPLICATIONS FOR THE NEXT GENERATION OF GEOSTATIONARY SATELLITES KMA, 2016 Thank you

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