Contents GSICS activities Visible channel calibration

Slides:



Advertisements
Similar presentations
GSICS Executive Panel 10 JMA GPRC Report
Advertisements

China Meteorological Administration National Satellite Meteorological Center Training Course on Satellite Meteorology 2012 ) Oct.22-Nov.2 Beijing China.
JMA’s GSICS and SCOPE-CM Activities (CGMS-41-JMA-WP-04) CGMS-41, Jul , 2013, Tsukuba, Japan 1 JMA / Meteorological Satellite Center.
Satellite based instability indices for very short range forecasting of convection Estelle de Coning South African Weather Service Contributions from Marianne.
- Current status of COMS AMV in KMA/NMSC E.J. CHA, H.K. JEONG, E.H. SOHN, S.J. RYU Satellite Analysis Division National Meteorological Satellite Center.
Japan Meteorological Agency, June 2016 Coordination Group for Meteorological Satellites - CGMS JMA’s Cal/Val activities Presented to CGMS-44 Working Group.
Japan Meteorological Agency, June 2016 Coordination Group for Meteorological Satellites - CGMS Non-Meteorological Application for Himawari-8 Presented.
GSICS Coordination Center Report Fangfang Yu, Fuzhong Weng, Fred Wu and George Ohring NOAA/Center for Satellite Applications and Research 8 April, 2013.
COMS Visible Channel Calibration Dohyeong KIM Ho-Seung LEE Won-Seok LEE Tae-Hyeong OH Sunmi NA National Meteorological Satellite Center Korea Meteorological.
JMA GPRC report Arata OKUYAMA Meteorological Satellite Center,
Marianne König, Tim Hewison, Peter Miu
JMA GPRC Report GDWG/GRWG Joint Meeting at Daejeon in March 2011
COMS MI Visible channel Calibration
Project Team (EUMETSAT, JMA, NOAA-NCDC)
DCC Product Requirements for GSICS Plotting Tool
GSICS Web Meeting, 17 November 2011
METimage Calibration Pepe Phillips GSICS Data & Research Working
Review of EUMETSAT’s GEO-LEO Correction
Report from KMA 17th GSICS Executive Panel, Biot, 2-3 June 2016
Progress toward DCC Demo product
Sébastien Wagner, Tim Hewison In collaboration with D. Doelling (NASA)
Fangfang Yu and Xiangqian Wu
produced by SBDART model for COMS visible calibration
KMA GDWG Activity Progress Report
Spectral Band Adjustment Factor (SBAF) Tool
Doelling, Wagner 2015 GSICS annual meeting, New Delhi March 20, 2015
Meteorological Satellite Center Japan Meteorological Agency
Vicarious calibration by liquid cloud target
Requirements for GSICS Plotting Tool to support VIS/NIR products
DCC inter-calibration of Himawari-8/AHI VNIR bands
JMA’s GSICS and SCOPE-CM activities Presented to CGMS-43 Working Group II session, agenda item 3 (from MTSAT-2) Japan Meteorological Agency.
FY2-IASI and FY3C-IASI towards Demo
Fangfang Yu and Fred Wu 22 March 2011
Combining Vicarious Calibrations
Japan Meteorological Agency / Meteorological Satellite Center
Closing the GEO-ring Tim Hewison
JMA Agency Report 2017 Arata Okuyama, Masaya Takahashi and Hidehiko Murata Meteorological Satellite Center, Japan Meteorological Agency.
Building-in a Validation cycle for GSICS Products
Annual GSICS Calibration Report for {Agency}
Masaya Takahashi (JMA), Dohyeong Kim (KMA),
Use of NWP+RTM as inter-calibration tool
Diurnal and Seasonal variations of COMS IR inter-calibration
Implementation of DCC at JMA and comparison with RTM
Himawari-8 Launch and its calibration approaches
Planning comparison study SCM IOGEO and GSICS
GSICS Collaboration with SCOPE-CM IOGEO
GSICS LEO-LEO IR Sentinel-3/SLSTR-IASI Products
Update on GSICS Product Development
Infrared Inter-Calibration Product Announcements
JMA Agency Report 2018 Masaya Takahashi, Yusuke Yogo and Hidehiko Murata Meteorological Satellite Center, Japan Meteorological Agency.
Inter-calibration of the SEVIRI solar bands against MODIS Aqua, using Deep Convective Clouds as transfer targets Sébastien Wagner, Tim Hewison In collaboration.
KMA Agency Report NMSC/KMA
GRWG+GDWG Web Meeting on Calibration Change Alerts
Progress on COMS IR inter-calibration
Masaya Takahashi (JMA) Dohyeong Kim (KMA)
Developing GSICS products for IR channels of GEO imagers Tim Hewison
Progress toward DCC Demo product
Inter-Comparison between COMS/MI and Himawari-8/AHI
ROSHYDROMET Agency Report
GSICS Data and Products Servers
A Strategy for the Inter-Calibration of Solar Channels within GSICS
Presentation of GSICS Inter-Calibration Results - Web Displays
Na XU Xiuqing HU Lin CHEN Ling SUN NSMC CMA
IASI / AIRS / CRIS cross-calibrations 5a 0:20
JMA Agency Report 2019 Masaya Takahashi, Yusuke Yogo and Kazuki Kodera
Infrared Sub-Group Report Tim Hewison
Special Issue of the IEEE TGRS on “Inter-Calibration of Satellite Instruments”: 21 May 2019 Special session on re-calibration/re-processing – Discussion.
Inter-calibration results of COMS/MI using with and without MBCC
Inter-calibration result of COMS/MI using before and after reprocessed CrIS data March 2019 Minju Gu and Dohyeong Kim.
Towards a GSICS DCC product...
Presentation transcript:

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

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

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

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 2011.04 – 2013.12

Lunar calibration by collaborate with EUMETSAT Visible channel calibration (1/3) period: 2011.04 – 2013.12 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 = -0.172 degradation = 5.59% slope = -0.102 degradation = 3.47% Lunar calibration by collaborate with EUMETSAT DCC method by collaborate with NOAA

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 -0.9108 -0.7471 -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 0.2468 RMSE 1.5455 mean bias 0.2171 RMSE 1.4138 AIRS IASI WV (6.75μm) SWIR (3.75μm) LEO TB (K) mean bias -0.9108 RMSE 1.2263 mean bias 0.1083 RMSE 2.8551 COMS TB (K) COMS TB (K)

To add GSICS operation system for IASI-B Infrared channel calibration (2/2) Time series of TB bias (2011.04 – 2013.12) TB Bias (COMS-LEO) AIRS IASI BOTH (K) mean Bias -0.9108 WV IR1 mean Bias 0.2468 mean Bias 0.2171 IR2 mean Bias 0.1083 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

KMA webpage Infrared Visible 2013, completely construct web presenting system (IR and VIS) http://nmsc.kma.go.kr/html/homepage/en/gsics/gsicsMain.do

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: 2012-2013 COMS Level 1B TB GSICS correction SST (IR1, IR2) raw data correction processing & Validation Buoy

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

Thank you Thank you for listening this talk.