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GEO-KOMPSAT-2A User Readiness Planning

GEO-KOMPSAT-2A will load two instruments, one is AMI(Advanced Meteorological Imager) for meteorological mission and the other is KSEM(Korea Space wEather Monitor) for space weather mission.

AMI(Advanced Meteorological Imager)

KSEM(Korea Space wEather Monitor)

PD: Particle Detector / MG: Magnetometer / CM: Charging Monitor

Milestone for the Geo-KOMSAT-2A

GEO-KOMPSAT-2A Instrument Performance

AMI(Advanced Meteorological Imager) with 16 channels

  • 1.38 µm : favorable for cirrus cloud detection, cloud type and amount
  • 2.3 µm : favorable for Land/cloud Properties

AMI(Advanced Meteorological Imager) SRF(Spectral Response Function)

AMI(Advanced Meteorological Imager) SRF(Spectral Response Function)
Index AMI Band Center Wavelength Spec Min(µm) Center Wavelength Spec Max(µm) AMI measured Center Wavelength(µm) Bandwidth Spec Max(µm) AMI measured Bandwidth(µm) Max Out of Band Response Spec(%) AMI Out of Band Response(%)=100% x (out of band) / (in-band)
1 VIS0.4 0.431 0.479 0.4702 0.0750 0.0408 1.00% 0.13%
2 VIS0.5 0.5025 0.5175 0.5086 0.0625 0.0291 1.00% 0.21%
3 VIS0.6 0.625 0.66 0.6394 0.1250 0.0808 1.00% 0.08%
4 VIS0.8 0.8495 0.8705 0.8630 0.0875 0.0344 1.00% 0.34%
5 NIR1.3 1.373 1.383 1.3740 0.0375 0.0155 1.00% 0.51%
6 NIR1.6 1.601 1.619 1.6092 0.0750 0.0410 1.00% 0.31%
7 IR3.8 3.74 3.96 3.8316 0.5000 0.1912 1.00% 0.22%
8 IR6.3 6.061 6.425 6.2104 1.0380 0.8397 1.00% 0.39%
9 IR6.9 6.89 7.01 6.9413 0.5000 0.4004 1.00% 0.43%
10 IR7.3 7.258 7.433 7.3266 0.6880 0.1823 1.00% 0.53%
11 IR8.7 8.44 8.76 8.5881 0.5000 0.3552 1.00% 0.19%
12 IR9.6 9.543 9.717 9.6210 0.4750 0.3789 1.00% 0.28%
13 IR10.5 10.25 10.61 10.3539 0.8750 0.4683 1.00% 0.38%
14 IR11.2 11.08 11.32 11.2285 1.0000 0.6636 1.00% 0.31%
15 IR12.3 12.15 12.45 12.3651 1.2500 1.1072 1.00% 0.20%
16 IR13.3 13.21 13.39 13.2870 0.7500 0.5566 1.00% 0.16%

KSEM(Korea Space wEather Monitor)

3. KSEM(Korea Space wEather Monitor)
Sensor Specification
Energetic Particle Detector
  • Measurement range : (electron) 50keV ~ 2MeV / (proton) 100keV ~ 20keV
  • Angular resolution : 60º at least (pitch angle)
  • Time resolution : 0.33s
Magnetometer (ESA, SOSMAG)
  • Measurement range : -6,400 ~ +6,400nT in 3 axes
  • Field resolution : 1nT at least (on orbit)
  • Time resolution : 0.1s
Satellite Charging
  • Current range : -3 ~ +3pA/㎠
  • Measurement resolution : 0.01pA/㎠
  • Time resolution : 1s

COMS MI vs. Geo-KOMSAT-2A

GEO-KOMPSAT-2A Areas of Coverage and Observation Schedule

Observation Scan Patterns

  • Full Disk (FD)
  • Regional Area (RA) : 6200 X 5900 km (EW X NS)
  • Extended Local Area (ELA) : 4300 X 2900 km (EW X NS)
  • Local Area (LA) : 1000×1000 km (EW X NS)
Observation Scene Duration(sec.) EW NS Remarks
Global FD 356 17.8º Diameter centered at nadir
Regional RA 148 6200km 5900km RA scene center at 15.956ºN, 127.218ºE
ELA 66 3800km 2900km ELA scene center at 37.588ºN, 124.044ºE
LA 38 1000km 1000km Outer dege within ±11º NS and EW of nadir
Operational 1FD+4ELA 600 Custom timeline collecting four ELA scenes at ~2.5 minute intervals plus one Full Disk scene

Observation Area and Schedule

  • Plan 1: Full Disk (1) + ELA (4) / 10 minutes
  • Plan 2: Full Disk (1) + RA (2) / 10 minutes

GEO-KOMPSAT-2A Software Tools and Test Data

Image Processing Tools are under development

  • Image processing/analysis tool for Linux and PCs
  • Scenario-based (User-defined) Level 2 meteorological products generation tool
  • The function of real time/non-real time image format conversion (library) will be developed
Example of screen display of image analysis tool

GEO-KOMPSAT-2A Training and Resource

All documents including ATBD (Algorithm Theoretical Basis Documents) of Level-2 products from GK-2A satellite are now being prepared and will be available after 2018. To meet the user’s needs and operational performance, user community composed of scientists, researchers and operational forecasters communicate with each other through monthly science meeting, seminars, or annual workshops. NMSC/KMA is also developing user-oriented GK-2A image processing tools for internal and international users.

On the other hand, Centre of Excellence (CoE) of KMA will provide an international training course on “Improvement of Meteorological Satellite Data Analysis and Application Capacity” from 2016 to 2018 through the support of KOICA (Korea International Cooperation Agency). The objective of this course is to improve analysis and application competence in the various fields such as forecasting, marine, climate, environment, hydrology etc. using GK-2A and other LEO satellite data.

The first training is scheduled for 24 days from 10 October to 2 November, 2016 and 26 participants from 17 countries such as Nepal, Bangladesh, Solomon Islands, Timor-Leste, Cambodia, Laos, Sri Lanka, Vietnam, Myanmar, Papua New Guinea, Fiji, Mongolia, Philippines, Indonesia, Uzbekistan and Bhutan, will attend the course. The training will focus on the quantitative and qualitative use of COMS and GK-2A data and products, satellite image interpretation and analysis for weather forecasting, fundamental RGB techniques, various application methods for climate, environment and hydrology fields to enhance understanding on the next generation satellite of GK-2A.

At the occasion of Asia-Oceanic Meteorological Satellite Users’ Conference in Songdo, Korea from 21 to 27, November 2016, 2days’ training event (21~22, Oct.) is also planned, which is related to data processing and application on nowcating of next generation satellites such as Himawari-8, GOES-R, FY-4, and GK-2A.

The detailed module of KMA’s international training is as below table.

Lectures & Discussions
Module Lectures & Discussions
Module 1.
Korean meteorological satellite program
  • Introduction of National Meteorological Satellite Center(NMSC)
  • Vision and mission of NMSC
  • Master plans for national space development program
Module 2.
COMS data processing and products
  • Basic principle of radiation
  • Basic operation, receiving, processing and service of COMS
  • Interpretation of 16 baseline products of COMS and their application
Module 3.
satellite imagery interpretation
  • Interpretation of single channels imagery
  • Identify surface feature, cloud types and theirs characteristics
  • Understanding cyclogenesis in the satellite imagery
  • Interpret broadscale, synoptic and mesoscale phenomena
  • Utilization of microwave images and products such as precipitation, sea surface wind, temperature and humidity profile from GPM, Metop, DMSP etc.
  • Practice with case study
Module 4.
Applications of GEO and LEO satellite data
  • Theory of tropical cyclone analysis (Advanced Dvorak Technique and Subjective Dvorak Technique, various marine information from satellite)
  • Practice to produce tropical cyclone information such as center position, intensity, maximum wind speed, strong wind area etc. using Web-based Typhoon Analysis System
  • Monitoring and analysis of heavy rainfall, flash flood based on GEO and LEO data
  • Tracking of convective clouds from its initiation to decay using next generation satellites
  • Environment monitoring such as fog, dust, ash using satellite data
  • Application of GEO and LEO satellite into climate, drought, agriculture, wild fire etc.
Module 5.
KMA’s GEO-KOMPSAT-2A satellite
  • Current status of KMA’s next geostationary satellite(GEO-KOMPSAT-2A) development
  • Understanding differences between legacy COMS and GEO-KOMPSAT-2A
  • Ground system development of GEO-KOMPSAT-2A
  • Data service and dissemination policy of GEO-KOMPSAT-2A
  • Baseline products for clouds and precipitation parts, radiation and aerosol parts, Atmosphere and aviation parts, scene analysis and surface information parts
  • Understand fundamental RGB techniques and their applications
  • Weather monitoring and usage of rapid-scan data using Himawari-8 data
Module 6.
Next generation satellite data processing tools
  • CSPP(Community Satellite Processing Package)-GEO for the processing of next generation geostationary satellites such as Himawari-8 an GOES-R
  • Data processing exercise of Level 1 data, level 2 cloud products and generation of RGB composites from Himawari-8 using CSPP-GEO
  • CSPP-LEO for the processing of polar-orbiting satellites such as Suomi-NPP, Metop-A/B, NOAA-18/19, Terra/Aqua etc
  • Data processing practice of level 1 and 2 data using CSPP-LEO
  • Exercise satellite image analysis and make RGB images using KMA’s satellite data analysis system