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Contents GSICS activities Visible channel calibration

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Presentation on theme: "Contents GSICS activities Visible channel calibration"— Presentation transcript:

1 KMA’s GSICS and SCOPE-CM Activities Presented to CGMS-42 Working Group II/3

2 Contents GSICS activities Visible channel calibration
Infrared channels calibration GSICS website Contribution to SCOPE-CM An effect of GSICS correction on Level 2 products Contents

3 Visible channel calibration (1/3)
Vicarious calibration for visible channel using 5 targets. - ocean, desert, water cloud, deep convective cloud (DCC), moon Target Ocean Desert Water cloud Deep convective cloud Moon Period April 2011 ~ Present Source Regular observation Special obs. (twice a month) Obs. - Pacific Ocean - Indian Ocean - Simpson Desert in Australia - Over ocean regions - Overcast clouds - High reaching overcast clouds - moon

4 a scatter plot for 30 days data trend of slope for long period
Visible channel calibration (2/3) Monitoring the slope changes from scatter plot of 4 targets The slope is obtained using 30 days average. a scatter plot for 30 days data get a slope/intercept trend of slope for long period Ocean Desert Water Cloud DCC RTM Simulated reflectance COMS Observed reflectance

5 Lunar calibration by collaborate with EUMETSAT
Visible channel calibration (1/3) period: – degradation: 5.59% (2.10%/year) from 4 targets on the Earth 3.47% (1.22%/year) from the moon targets daily slope from 4 targets monthly ratio from moon targets slope = degradation = 5.59% slope = degradation = 3.47% Lunar calibration by collaborate with EUMETSAT DCC method by collaborate with NOAA

6 Infrared channel calibration (1/2)
Preparation for the demonstration mode for COMS IR calibration GEO-LEO Inter-calibration (IASI and AIRS) IR1 (10.8μm) IR2 (12.0μm) BOTH IASI AIRS IR1 Number 127948 47072 80876 Bias 0.2468 0.2906 0.2212 RMSE 1.5455 1.5546 1.5402 IR2 133908 49332 84576 0.2171 0.2213 0.2146 1.4138 1.4237 1.4079 IR3 (WV) 66436 23775 42661 -1.002 1.2263 1.0888 1.2965 IR4 (SWIR) 55038 24530 30508 0.1083 0.0215 0.1780 2.8551 2.4973 3.113 LEO TB (K) mean bias RMSE mean bias RMSE AIRS IASI WV (6.75μm) SWIR (3.75μm) LEO TB (K) mean bias RMSE mean bias RMSE COMS TB (K) COMS TB (K)

7 To add GSICS operation system for IASI-B
Infrared channel calibration (2/2) Time series of TB bias ( – ) TB Bias (COMS-LEO) AIRS IASI BOTH (K) mean Bias WV IR1 mean Bias mean Bias IR2 mean Bias SWIR To add GSICS operation system for IASI-B To compare double difference with LEOs (AIRS, IASI-A, and IASI-B) To be ready to enter the demonstrate mode in 2014

8 KMA webpage Infrared Visible 2013, completely construct web presenting system (IR and VIS)

9 processing & Validation
Contribution to SCOPE-CM In response to WG II Action Item 41.23: “KMA to provide paper on their contribution to SCOPE-CM to the next CGMS session – CGMS-42” To investigate an effect of GSICS calibration coefficient on Level2 products Test product: Sea Surface Temperature (SST) Validation data: buoy around East Asia Period: COMS Level 1B TB GSICS correction SST (IR1, IR2) raw data correction processing & Validation Buoy

10 Contribution to SCOPE-CM
Comparison of recalibrated SST with observed buoy SST daytime nighttime Before After Before After 0.81 K 0.94 K RMSE 0.90 K 0.01 K -0.01 K Bias 0.28 K -0.02 K To investigate an effect of Clear Sky Radiance (CSR) and Atmospheric Motion Vector (AMV) on NWP in 2014

11 Thank you Thank you for listening this talk.


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