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AOMSUC-10 Training events, Melbourne, 2-3 Dec. 2019 1 / 84 Contents How to monitoring, detection and analysis of weather phenomena using GEO-KOMPSAT-2A(GK2A) data and RGB composites 1 2 AOMSUC-10 Training events,

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국가기상위성센터

AOMSUC-10 Training events, Melbourne, 2-3 Dec. 2019

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How to monitoring, detection and analysis of weather phenomena using GEO-KOMPSAT-2A(GK2A) data and RGB composites

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The 1st image of GEO-KOMPSAT-2A

03:10UTC 26th Jan. 2019

AOMSUC-10 Training events, Melbourne, 2-3 Dec. 2019

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[IR+VIS composite] [Day/nighttime fog] [Natural color] [Dusts] [True color] [Airmass] [Convection] [Snow/fog] [cloud phase] [Ash clouds] Daytime RGBs 24hours RGBs

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5 Channel Combination Color interpretation palette

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Daytime only, requires solar reflectance information
Not effective for observing or discriminating types of weather other

than convection

Yellow is indicative of small ice particles. Small ice particles can form

in non-severe Cb clouds:

in Cb clouds with cold(high) cloud base (short time from cloud base to spontaneous freezing level)
Pileus cloud on top of developing thunderstorms. These thunderstorms need not

necessarily be severe

in mountain wave clouds or in highly “polluted” clouds. Dust carried aloft can lead

to long lived, small ice particles

Pixel color impacted by sun/satellite viewing angles
Yellow can be falsely increased due to sun glint in the 3.9 channel.
Pixel color fades during dawn/dusk when the sun angle is low.

Source from “UNDERSTANDING CONVECTIVE CLOUDS THROUGH THE EYES OF (MSG): Cloud Particle Size”. J.Kerkmann EUMETSAT

NOTE SLIDE

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7 Channel Combination

Thin high level clouds(ice particle, red-orange) Low water clouds (water droplets, cyan, lavender) Glacating clouds (green) Thick high level louds (ice particle ,yellow) Snow

Thin high level clouds(ice particle) Low level louds (water droplets) Thik high level clouds(ice particle) Glaciating clouds Snow Thin high level clouds(ice particle)

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9 Channel Combination

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 Distinguish dust signals distinctly from surrounding phenomena by displaying complementary colors (Dusts : pinkish, clouds: greenish, land/ocean : bluish colors)  Weak dust signals over marine are also well detected continuously

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The 1st image of GEO-KOMPSAT-2A

03:10UTC 26th Jan. 2019

AOMSUC-10 Training events, Melbourne, 2-3 Dec. 2019

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A) VIS(0.64µm) B) NIR(1.6µm) C) Enhanced IR(10.4µm) E) Convection RGB D) Cloud Phase RGB F) Day Microphysics RGB

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VIS(0.64µm) NIR(1.6µm)

Different reflectivity of ice/snow and water clouds between VIS and NIR

What make the difference between VIS(0.64µm) and NIR (1.6µm ) images? Ice clouds

Stronger absorption by ice than water
Ice cloud appears darker than water clouds

 These properties are exploited in the creation of some RGB images

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NIR(1.6µm)

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Socrative Question 2. Where is the smallest ice particles present ?

A. 1 B. 2 C. 3 D. 4

Why the brightness of ice clouds are different ?

05:30UTC 27th Sept. 2019

Source : COMET Program

Reflection at 3.9um : water & ice

As particle size increased, Reflection decreased Absorption increased 1.6um images became darker

Source : EUMETSAT

Absorption by water & ice

water < ice

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D) Convection RGB C) Cloud phase RGB

Socrative Question 3. Which products give you more microphysical information of clouds?

A) Enhanced IR (10.5µm) B) NIR(1.6µm)

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☞ Convection RGB give information of ice/water, small/large particle size and intensity of convection ☞ Cloud phase RGB differentiate water and ice clouds

Convection RGB Cloud phase RGB

Low, water clouds(cyan) 4 Thick high level clouds with ice particles(yellow) glaciating clouds(green) 5 2 3 4 2

thin high-level clouds with ice particles (red-orange)

glaciating clouds (green)

thin high-level clouds with ice particles (red-orange)

Low to mid water clouds (light blue) 4 Strong convection, small ice particles(yellow) Weak convection, large ice particle(red) 5 2 3 4 2

thin cirrus, small ice particles (purple)

Weak convection, Large ice particle (red)

moderate convection, large ice particle (orange)

Low, water clouds(cyan) 5 Low to mid, water clouds(light blue) 5

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대류운 RGB Convection RGB Rapidly developing thunderstorm(RDT) KMA radar rainrate(mm/hr)

☞ RDT identify, monitor and tracking intense convective clouds based on the training data over the Korean Peninsular using high spatio-temporal resolution satellite data, radar reflectivity, lightening and model stability data .

2 Weak convection, Large ice particle Strong convection, small ice particle 3 4 moderate convection, large ice particle

( 04:30UTC, 27 SEP 2019)

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