by GEO-KOMPSAT-1(COMS) and 2

Transcription

1 Fifth AOMSUC, Nov , 2014, Shanghai, China Monitoring Atmospheric Composition by GEO-KOMPSAT-1(COMS) and 2 Jhoon Kim 1, Dohyeong Kim 2, YoungJe Park 3 1 PI GEMS Global Environment Satellite research Center Yonsei University P.I., GEMS, Global Environment Satellite research Center, Yonsei University 2 National Meteorological Satellite Center(NMSC), KMA 3 Korea Ocean Satellite Center(KOSC), KORDI

2 Introduction Outline Geo-KOMPSAT-1 (COMS) MI GOCI-1 Geo-KOMPSAT-2 2(2A and 2B) AMI GOCI-2 GEMS Summary

3 Introduction Outline Geo-KOMPSAT-1 (COMS) MI GOCI-1 Geo-KOMPSAT-2 2(2A and 2B) AMI GOCI-2 GEMS Summary

4 National Space Program of Korea GEO-KOMPSAT-1 GEO-KOMPSAT-2 4 (Courtesy, KARI)

5 Aerosol retrieval using satellite (LEO) measurement: past and present (sensor list, AOD spatial resolution) UV VIS NIR IR (OSCAR, Observing Systems Capability Analysis and Review Tool, WMO) TOMS (UV), 50 km x 50 km, 12:00 dsc GLI, (50km x 50km), 13:25 asc OMPS (UV/VIS) OMI (UV/VIS), 13km x 24km, 13:45 asc (6km x 6km), VIIRS 13:25 asc (VIS/IR) (1km x 1km), 10:30 dsc SCIAMACHY (UV/VIS/NIR/SWIR), 30km x 30 km, 10:00 dsc MERIS (VIS/NIR), 1km x 1km, 10:00 dsc MODIS (VIS/IR), 10km x 10km, 3km x 3km 13:30 asc, 10:30 dsc MISR (VIS/NIR), 17.6km x 17.6km 10:30 dsc SeaWiFS (VIS/NIR), 1.1km x 1.1km, 12:00desc POLDER (VIS/NIR), 5.3km x 6.2km, 15:20 asc ATSR 1/2, AATSR (VIS/IR), 10km x 10km, 3 km x 3 km, 10:00 dsc AVHRR 1/2/3 (VIS/NIR/MWIR), 8 km x 8 km, 14:00 asc

6 Aerosol retrieval using satellite (GEO) measurement: past and present (project, satellite, and sensors) Himawari-8 (1x1 km) COMS - GOCI(6x6km ), -MI (4x4km) Feng-Yun-3 (FY-3 series) VIRR (1,10 km) Feng-Yun-2 (FY-2 series) S-VISSR, 1.25km x 1.25km Feng-Yun-1 (FY-1 series) MVISR Himawari 1 st generation (Himawari 1-5) VISSR, 20km x 20km Himawari 2 nd generation (MTSAT-1R, 2) -JAMI, IMAGER, 1km x 1km Meteosat 2 nd Generation (Meteosat 8-11) SEVIRI, 3km x 3km GOES 1 st generation (GOES 1-7) - VISSR Meteosat 1 st Generation (Meteosat 1-7) - MVIRI GOES 2 nd generation (GOES 8-15)- IMAGER, 4km x 4km

7 COMS (Geo-KOMPSAT-1) Mission: - Communication - Ocean Color - Meteorology Launch: Jun. 27, 2010 Orbit: GEO (128.2 E) SI: KARI + Astrium Mass at launch < 2497 kg Operational life : 7.7 years Launch vehicle : Ariane 5

8 Introduction Outline Geo-KOMPSAT-1 (COMS) MI GOCI-1 Geo-KOMPSAT-2 2(2A and 2B) AMI GOCI-2 GEMS Summary

9 COMS Data Products Group Product Name Area Alg. Dev. Remarks Scene Analysis Cloud Detection (CLD) FD / ENH / LA NIMR Apr 2011 Fog Detection (FOG) East Asia NIMR Apr 2011 Snow/Sea Ice (SSI) FD / ENH + comp. NIMR Jan 2012 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 Apr 2011 Cloud Amount (CA) FD / ENH / LA Analysis SNU /ENH/LA Cloud (CLA) Cloud Phase (CP) FD / Jan 2012 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 Total Precipitable Water (TPW) East Asia Kyoungpook NU Jan 2012 Water vapor Upper Tropospheric Humidity (UTH) East Asia Kyoungpook NU Aug 2011 Surface Sea Surface Temperature (SST) FD / ENH + comp. SNU Aug 2011 property p Land Surface Temperature (LST) East Asia Kongju NU Jan 2012 Radiation 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 Wind Atmospheric Motion Vector (AMV) Enhanced Northern Hemi. NIMR Apr 2011 (Courtesy, NMSC, KMA)

10 GOCI Data Processing System Ver1.2 (April 2013) Including more products 64bit Windows OS supported Ver1.3 (June, 2014) PRODUCTS Water-leaving radiance Normalized water leaving radiance Optical properties of water Chlorophyll TSS DESCRIPTION The radiance assumed to be measured at the very surface of the water under the atmosphere The water leaving radiance assumed to be measured at nadir, as if there was no atmosphere with the Sun at zenith K-coefficient Absorption coefficient Backscattering coefficient Concentration of phytoplankton chlorophyll in ocean water Total suspended sediment concentration in ocean water CDOM Colored dissolved organic matter concentration in ocean water Red tide Red tide tdeindex information ato Fishing ground information Underwater visibility Sea surface current vector Atm. & earth environment Water quality level Primary productivity Atmospheric correction improved Water quality Quality flag introduced (Courtesy, KOSC, KORDI) Fishing ground probability index, fishing ground prediction Degree of clarity of the ocean observed by the naked eye Sea surface current direction/speed Yellow dust, aerosol, Vegetation Index Coastal water quality levell estimation i The production of Organic compounds from carbon dioxide, principally through the process of photosynthesis

11 Monitoring Yellow Dust from COMS GOCI-1

12 Yellow Dust Retrieval results : Dust case( ) Low FMF (~0.3): coarse particle GOCI RGB GOCI AOD (1hr interval) GOCI FMF GOCI SSA MI AOD (15min interval) MODIS AOD (2 times per day) MODIS FMF GOCI Aerosol Type (AOD > 0.3) HA, fine MA, fine NA, fine Mixture Dust NA/coarse FMF 0.6 ~ ~ ~ ~ ~ ~0.4 SSA 0.85~ ~ ~ ~ ~ ~

13 Validation results of AODs from GOCI and MI AERONET level 2.0 AOD data ( ) - Spatial co-location : within 25km at each AERONET site - Time co-location : ±30min AERONET at each satellite center measurement time AERONET lev2.0 Data [110 0 E E, 20 0 N-45 0 N] ~

14 Data Assimilation of GOCI with CMAQ where H: linear operator K: Kalman gain matrix B: error covariance of model O: error covariance of GOCI (Park et al., ACP, 2014)

15 (Park et al., ACP, 2014)

16 Surface reflectance (00h, ch0-3) (Mean value of surface reflectance over land) ; libradtran hh=00utc, ch=00ch month vs month vs month vs nm 0.20 month vs 2014 face reflectance Surf face reflectance Surf month vs 2011 month vs 2012 month vs 2013 month vs 2014 hh=00utc, ch=04ch 660nm Surf face refle ectance Surface reflectance Surface reflect ctance Month m onth vs 2011 m onth vs 2012 m onth vs nm m onth vs M o n th month vs 2011 month vs month vs nm month vs Surface reflectance Surface reflec ectance month vs 2011 Month month vs 2012 month vs 2013 month vs nm Month month vs 2011 month vs 2012 month vs 2013 month vs nm Surfa ace reflectance Month Month 0.36 month vs month vs month vs 2012 month vs 2012 month vs 2013 month vs 2013 month vs nm 865nm month vs Sur urface reflectance Month M A M J J A S O N D J F Month M A M J J A S O N D J F

17 Time-series variations in GOCI-derived turbidity (Courtesy, KOSC, KORDI) areas of relatively high turbidity (in red) gradually decreased over time - clear water from open sea suppressed turbidity during flood tide around the time of high h tide, turbidity was remarkably lower - settlement of suspended particulates during the transition from flood to ebb tide and resulting lull in the tidal current

18 GOCI green tide monitoring KOREA Qingdao Jun. 13 Yellow sea July, 19 China Gunsan Mokpo Jeju j Island East/China Sea Yangtze river (Courtesy, KOSC, KORDI)

19 Introduction Outline Geo-KOMPSAT-1 (COMS) MI GOCI-1 Geo-KOMPSAT-2 2(2A and 2B) AMI GOCI-2 GEMS Summary

20 GEO-KOMPSAT 2 2A Sat. : AMI 2B Sat. : GEMS, GOCI-2 (Twin Satellite) Launch: 2018 Specification 2A 2B Payload AMI GOCI-2 GEMS Lifetime 10 years Spectral range m nm nm Channels Spectral nm 0.6 resolution nm nm (sampling: 0.2 nm) Spatial 0.5 / 1 km 250 m@ eq 7x8km 2 resolution (Vis) 1 km Seoul 2 km (IR) Temporal 6 / hr (FD) 1 hour 1 hour resolution 12 / hr (NH) Imaging time 10 min(fd) 5 min (NH) 30 min 240 min(fd) 30 min

21 AMI 16 spectral bands; Full min; 0.5/1/2 km Spatial resolution Band No. Band Name Center Wavelength Min (um) Max (um) <Basic Spectral Bands> Band Width (Max, um) Resoluti on (km) SNR NEdT(K) (240/300 K) Radiometr ic Accuracy 1 VIS % 2 VIS % 3 VIS % 4 VIS % 5 NIR ( ) 5% 6 NIR % 7 IR /0.2 1K 8 IR /0.1(*) () 1K( ) 9 IR /0.1 1K 10 IR /0.12(*) 1K( ) 11 IR /0.1 1K 12 IR /0.15 1K 13 IR /0.2 1K 14 IR /0.1 1K 15 IR / K 16 IR /0.3 11K 1.1K SNR@100% albedo, NEdT@240/300K, calibration accuracy@100% albedo/300k SNR@max radiance 100% albedo calibration accuracy@max temperature 300K

22 GOCI-2 Spectral Bands Requirements (TBD) 13 Bands (GOCI : 8 Bands) Phytoplankton type verification, Nighttime Observation, Enhanced Atmospheric Correction Accuracy Band Band Center Bandwidth Nominal Maximum Ocean Saturation Maximum Cloud Radiance SNR : Nominal 2 /um/sr Radiance Radiance Radiance Radiance Radiance nm 20 nm nm 20 nm nm 20 nm nm 20 nm nm 20 nm nm 20 nm nm 20 nm nm 20 nm nm 10 nm nm 10 nm nm 20 nm nm 40 nm PAN 515 nm Still lack of IR channels for cloud masking

23 Satellite Remote Sensing of Atmospheric Composition Satellit e Senso rs TOMS ERS- 2 GOM E Terra Envisat Aura METOP GOSAT SCIA- MIPA MOPITT MACH HRDLS OMI TES IASI GOME2 TANSO S Y S-4, TEMPO GEMS Orbit PS PS PS PS PS PS PS PS PS PS LEO GEO Launc h (2018) O 3 O O O O O O O, O O H 2 O O O O O O CO O O O NO O O NO 2 O O O O O O O HNO 3 O O CH 4 O O O O O O HCHO O O O SO 2 O O O O O BrO O O O CO2 O O O Aeros ol O O O O O O O O : Column : Profile PS : Polar sun-synchronous GEO : Geostationary 23 (Courtesy, C.H. Song)

24 Measurements of aerosol & ozone with precursors h ( <345 nm) h (<420 nm) O O 3 HCHO NO Oxidation NO 2 t~an hour (OH, O 3, NO 3 ) O 3, RO 2 AOD, type, Height Aerosol

25 无法显示图像 计算机可能没有足够的内存以打开该图像, 也可能是该图像已损坏 请重新启动计算机, 然后重新打开该文件 如果仍然显示红色 x, 则可能需要删除该图像, 然后重新将其插入 Best fitting: full-scale radiance (Instrument vs. algorithm: ins trument limited telescope o ptics size) (Courtesy, K. Chance )

26 Specification of GEMS (Geostationary Environment Monitoring Spectrometer) Lifetime Reliability 10 yrs Specification years after IOT Spatial 5000 km x 5000 km coverage (5 o S ~ 45 o N, 75 o E ~ 145 o E) Longitude Duty cycle Spatial resolution SNR instrument level Data quantization Products E 8 times / 1 day (30 min for imaging+30 min rest) Gas: 7 km (NS) x 8 km Seoul Aerosol: 3.5 km (NS) x 8 km (EW) > 320nm > 430nm > 0.3 in N/S freq > 0.3 in E/W freq 14 bits O 3, NO 2, SO 2, HCHO, aerosol, AI, AAOD, AEH, Clouds, surface Spectral range Spectral resolution Keystone Smile Polarization Radiometric calibration accuracy Spectral Calibration accuracy Stray light Spectral feature Spectral stability nm Specification 0.6 nm (3 samples) < 0.2 pixel < 0.2 pixel < 2% ( nm) before correction < 4% (including std. lamp uncertainty) < 0.02 nm < 2% before image correction < 0.05% (peak-to-valley) within a ny 3nm wavelength window < 0.02 nm (1/10 spectral pixel) over daily imaging period

27 Projected FOV & GSD - NS Seoul : 7.0km Projected FOV Region of interest Normal operation For clear sector method

28 DOAS (Differential Optical Absorption Spectroscopy) I(, L) I 0 ( )exp 0 L j ABS (, p,t ) j j (L) (,l) (,l)dl R M N( ) Structured absorption feature Smooth -dependence Residual NO 2 O 4 O 3

29 Synergy among GK-2 instruments UV-Vis 7x8 km resolution GEMS AOD(bright sfc) AOD AOD(bright sfc) NO O 3 (IR) 2 aerosol height DOM AOD SO 2 SSA FMF Met field Type(BC, Dust ) SO 2O3 Sfc property (Cloud,AMV..) Temperature Sfc Scpopety property GOCI-2 Vis NIR 250 m resolution + FD capability Aerosol info Cloud info. AMI Vis TIR kmresolution, 10 min.

30 Constellation of GEO Mission for Synergistic Products Improving coverage and consolidating socio-economic benefit GOES-R +TEMPO (America) Himawari AMI + GOCI2 + GEMS GEO KOMPSAT (Asia) FY Harmonizing data quality Sharing data with minimum time delay GMES S4 FCI + IRS + UVN MTG (Europe) Electro-L

31 Summary With the launch of COMS(GEO-KOMPSAT-1), observational capabiliti es in meteorology and oceanography have been expanded significant ly. Geo-KOMPSAT-2s are expected to provide even upgraded observati on products with the AMI, GOCI-2 and GEMS. Geo-KOMPSAT-2A and 2B are expected to provide information on ae rosol and trace gas amounts with the three instruments of AMI, GOCI- 2 and GEMS. GEMS is expected to provide information on trace gas and aerosol with their precursors in high spatial and temporal resolution - O 3 NO 2 HCHO SO 2 AOD/AI/AEH, (possibly CHOCHO, BrO) - Clouds, surface reflectance, UV radiation. Synergistic efforts to harmonize the products among AMI, GOCI-2 y g p g, and GEMS are highly desirable. Collaboration with the team of three different missions are essential for the success of GEO-KOMPSAT-2.

32 Acknowledgement Ministry of Science, ICT & future Planning (MSIP) KARI Ministry of Environment (MoE), Rep. of Korea NIER, MoE KEITI, MoE Korea Meteorological Administration NIMR NMSC Ministry of Oceans and Fisheries KOSC, KORDI