Jun Park National Meteorological Satellite Center Korea Meteorological Administration

Transcription

1 KMA Implementation Plan for Satellite Climate products Jun Park National Meteorological Satellite Center Korea Meteorological Administration

2 Outline 1. Introduction : Current & Future KMA GEO Satellite 1.1 Current satellite products 1.2 Product validation & Quality monitoring 1.3 Future GEO-KOMPSAT-2A 2. Implementation plan of KMA 3. Evaluation of effect of GSICS Correction 3.1 GSICS correction results 3.2 SST improvements 4. Summary and Plan 2

3 Korean Satellite Development Roadmap 3

4 Current GEO Satellite(COMS) 4

5 COMS Products NMSC 16 Baseline Products : Development (2003 ( ) and operation (2011~) AMV (Atmospheric Motion Vector) CLD SST LST (Land Surface Temperature) (Cloud Detection) (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 INS (Aerosol Optical Depth) (Insolation) AI (Aerosol Index) OLR (Outgoing Longwave Radiation) RI (Rain Intensity) 5

6 1.2 Product Validation & Quality Monitoring - Product Observation data Collocation COMS Quality monitoring MODIS Algorithm Improvement Daily Monthly Seasonal Statistical index Algorithm Theoretical Basis Document 6

7 COMS MI vs. GEO-KOMPSAT-2A (AMI) COMS Geo-KOMPSAT-2A 1 channel (achromatic) 4 channels (color) COMS Geo-KOMPSAT-2A Cloud/Precipitation (5 19) VI Radiation/aerosol (5 16) 2 channels SWIR 1 FD O Atmospheric Motion/Conditions(3 4 FD 4 channels 2 NH 6) 10 channels 10 NH Surface information(3 IR 11)... 4 Korea Every 2 min Korea 5 channels 16 channels 7 16 products 52 products

8 2. Implementation Plan of KMA Algorithms: In operation Similar algorithms with other GEO satellites Similar input data with other GEO satellites Algorithm: Developed (Albedo) Improvement needed (Precipitation, Cloud fraction, Snow) Different algorithms and inputs with other GEO satellites 8

9 PESK Implementation Plan, KMA Step 1-1 (3 years) Step 1-2 (3 years) Sea Surface Temperature Outgoing Longwave Radiation Insolation GSICS FCDRs TCDRs continuous generating Evaluation of effect of GSICS correction QC./QA, algorithm improvement Inter-satellite comparison of products EUMETSAT-KMA operating collaboration Preparation for GeoKompsat-2a / Future Korean LEO satellite Obtaining consistency and continuity between COMS and GeoKompsat-2a TCDRs Continuous improvement of TCDRs Continuous collaboration with SCOPE-CM working group SST OLR INS W/m W/m km 2 15 km 2 15 km 2 2 daily daily daily 9

10 SESK Implementation Plan, KMA Albedo Precipitation Cloud Fraction Preparation for GeoKompsat-2a / Future Korean LEO satellite Algorithm development GSICS FCDRs continuous generating FCDRs TCDRs generating Evaluation of effect of GSICS correction QC./QA, algorithm improvement Inter-satellite comparison of products Obtaining consistency and continuity between COMS and GeoKompsat-2a TCDRs Continuous collaboration with SCOPE-CM working group Albedo Precipitation Cloud fraction Albedo>0.15 : 10~20% Albedo<0.15 : 0.015~ % (> 10mm/h) 10~20% 15 km 2 8 km 2 4 km 2 daily daily daily 10

11 3. GSICS Processing Results (IR channels) AIRS, IASI-A : April/2011-Dec/2016 IASI-B : Aug/2013-Dec/2016 CrIS : Jan/2014-Dec/2016 IR1 IR2 IR3 (WV) IR4 (SWIR) IASI-A IASI-B AIRS CrIS Number Bias RMSE Slope Intercept Number Bias RMSE Slope Intercept Number Bias RMSE Slope Intercept Number Bias RMSE Slope Intercept

12 3. GSICS Processing Results (VIS channels) 12

13 Improvement of SST after GSICS Correction Data: Apr. 2011~Mar COMS IR 10.8, 12.0 μm DN MCSST GSICS correction IR 10.8, 12.0 μm TBB GSICS correction (yearly) IR channel QC Buoy QC Buoy SST Match-up DB COMS CLD MCSST_FG CAL/VAL Multi Regress(Day/Night) L2 Product Day Night 13

14 Level 3 SST 1, L3 SST RMSE, bias 1,2 Celsius deg gree ( ) 0,9 0,6 0,3 0 bias(l3) RMSE(L3) bias(l3_fg) RMSE(L3_FG) bias(l3_fg, ltm) RMSE(L3_FG, ltm) -0,3-0, MONTH 14

15 Level 3 SST RMSE ( ) MCSST (L3) MCSST_FG (L3) MCSST(Day mean) MCSST_FG(Day mean)

16 SST Level 2, Level 3 validation July 2013, Monthly average anomaly field 16

17 4. Summary ECVs accuracy was improved after GCIS correction Resulted positive effect of GSICS-based FCDRs toward TCDRs These positive effect of GSICS should be continuously monitored. Try to build CDR processing system for those ECVs 17

18 Thank you 18

19 GEO-KOMPSAT-2A payload 16 channels FPM VNIR MWIR LWIR Band name AMI(Geo-KOMPSAT-2A) ABI(GOES-R) AHI(Himawari-8/9) MI (COMS) Center Wavelength (µm) Resolution (km) Center Wavelength (µm) Resolution (km) Center Wavelength (µm) Resolution (km) VIS VIS Center Wavelength (µm) VIS VIS NIR NIR NIR IR IR IR IR IR IR IR IR IR IR Resolution (km) 19

20 No. Products No. Products Development & utilization of GK-2A data Schedule of meteorological data processing system cloud/ rainfall radiation/ aerosol 1 Cloud detection radiation/ Aerosol 27 Visibility 2 Cloud Top Temperature 28 O3 total 3 Cloud Top Pressure 29 Radiances 4 Cloud Top Height 30 Upward Shortwave Radiation(TOA) 5 Cloud type 31 6 Cloud phase 32 7 Cloud Amount 33 8 Cloud Optical Depth 34 9 Cloud Particle Size Distribution 10 Cloud Liquid Water ATM Downward Shortwave Radiation(Surface) Absorbed Shortwave Radiation(Surface) Downward Longwave Radiation(Surface) Upward Longwave Radiation(Surface) 35 Upward Longwave Radiation(TOA) 36 Atmospheric Motion Vector 11 Cloud Ice Water Path 37 Vertical Temp. Profile 12 Cloud Layers/Heights 38 Vertical Moisture Profile 13 Fog 14 In-flight icing motion/ condition 25 Asian dust Optical Depth 51 Ice Cover Aerosol Particle Size 52 Current 39 Derived Stability Indices Total Precipitable Water 40 Atmospheric Motion Vector 15 Convection initiation 41 Tropopause folding turbulent flow 16 overshooting top/enhanced thermal couplet detection surface 42 Sea Surface Temperature 17 Rainfall Intensity 43 Land Surface Temperature 18 probability of rainfall 44 Fire/Hot Spot Characteristic 19 rainfall potential 45 Vegetation Index 20 Aerosol detection 46 Vegetation Fraction: Green 21 Asian dust detection 47 Surface Emissivity 22 Volcanic Ash: Detection and Height 48 Surface Albedo 23 SO2 Detection 49 Snow Cover 24 Aerosol Optical Depth 50 Snow Depth