RGB Experts and Developers Workshop 2017 Tokyo, Japan
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1 "Application of the Sandwich Product and variations to this as used by Australian Forecasters and as presented during training at the Australian VLab Centre of Excellence". RGB Experts and Developers Workshop 2017 Tokyo, Japan Presenter: Bodo Zeschke. Bureau of Meteorology Training Centre, Australian VLab Centre of Excellence Point of Contact Should you use these resources please acknowledge the Australian Bureau of Meteorology Training Centre. In addition, you need to retain acknowledgement in the PowerPoint slides of the Japan Meteorological Agency (JMA), the Bureau of Meteorology (BOM) and any other sources of information.
2 Contents of this session Sandwich Product midlatitude vs tropical tuning Indonesia / Malaysia / Singapore examples Variations in tuning of Sandwich Products (altering contrast and brightness in HRV channel) Kurnell storm example Sandwich Product and lightning / radar data Korea example Sandwich Day Convection RGB product NW Australia example
3 Some satellite products for the monitoring of Convection modifications of the conventional "Sandwich Product" Upper layer: IR10.8 BT image 20C Mid latitude 70C Bottom layer ( background ): HRV image Blending options applied to the upper layer 20C Tropical 80C Upper layer opacity set somewhere between 40 to 75% I have chosen 50% for the Sandwich Product, adapted from "Satellite Observations of Storm Tops (part 1)" Martin Setvak, Czech Hydrometeorological Institute
4 Please start the PowerPoint Slide Show to activate the animation Example 1 Animation: Comparing various types of enhanced satellite imagery Java Indonesia, 20 September 2016 (09 to 16UTC) October 2016 Regional Focus Group meeting A: Enhanced IR (midlatitude tuning, 70 to 20C) Jakarta C: Enhanced IR (tropical tuning, 80 to 20C) B: Sandwich Product (tropical tuning) animations courtesy JMA/BOM
5 Example 1: Comparing various types of enhanced satellite imagery Java Indonesia, 20 September 2016 (1030UTC) Better monitoring of stormtop features compared to midlatitude tuned product Better monitoring low level cumulus cloud that may develop into thunderstorm clouds compared to IR
6 Mid latitude tuned Please start the PowerPoint Slide Show to activate the animation Tropical tuned Singapore Example 2 Animation: Tropical and Midlatitude tuned Sandwich Products Singapore/Malaya/Indonesia 15 April UTC animations courtesy JMA/BOM
7 Evaluating the Tropical and Mid latitude tuned Sandwich Products Better monitoring of "flare up" Mid latitude tuned Better monitoring of lifecycle of MCC ie stormtop developments Tropical tuned 0130UTC in convection on squall line0430utc Singapore/Malaya/Indonesia 15 April , 0430UTC 0130UTC 0430UTC images courtesy JMA/BOM
8 Variations in the tuning of the Sandwich Product brightness and contrast modifications of the visible layer (mid latitude tuning scheme) Version #1 Version #2 Images courtesy BOM/JMA Sydney Brightness of visible layer Contrast of visible layer Opacity of IR layer 100% 0% 60% Brightness of visible layer Contrast of visible layer Opacity of IR layer 110% 200% 50%
9 Please start the Power Point Slide Show to activate the animation Animation: East Korea Convective Development, 18 June 2017 RADAR animation / topography image courtesy Korea Meteorological Administration (KMA) Sandwich Product with lightning data, RADAR (QC) and Topography (03 10UTC) Sokcho Cheongju Satellite animation courtesy JMA/BOM, lightning data courtesy WeatherZone
10 RADAR images courtesy Korea Meteorological Administration (KMA) First cumulus field develops in satellite imagery: UTC ( KST) satellite images courtesy JMA/BOM Sokcho Cheongju
11 RADAR images courtesy Korea Meteorological Administration (KMA) First lightning strikes recorded: UTC ( KST) satellite images courtesy JMA/BOM Sokcho Cheongju
12 HRV Introducing the Day Convection RGB Sandwich Product (from the EUMETSAT CHMI Course on the use of Rapid Scan data for monitoring and nowcasting of High Impact Weather) sandwich HRV & storm RGB sandwich HRV & IR10.8 BT
13 Some satellite products for the monitoring of Convection the "modified Day Convection RGB / Visible Sandwich Product" Upper layer: Day Convection RGB image Bottom layer ( background ): HRV image Day Convection RGB Range Gamma (Mid latitude) WV6.2 WV7.3 BTD 35 to IR3.9 IR10.8 BTD 5 to NIR1.6 VIS0.6 REFL 75 to 25% 1.0 Day Convection RGB Range Gamma (Tropical) WV6.2 WV7.3 BTD 35 to IR3.9 IR10.8 BTD 5 to NIR1.6 VIS0.6 REFL 75 to 25% 1.0 Blending options applied to the upper layer Upper layer opacity set to 75% for the Day Convection RGB Sandwich Product The contrast and brightness of the HRV images has also been adjusted. I have chosen: Contrast: 300% Brightness: 110% Contrast: 400% Brightness: 170%
14 Storm Top Features identified in high resolution satellite data Australian Vlab CoE Regional Focus Group meeting of January focus group recordings/
15 Animation: Storms, northwest Australia, 17 th January 2016 lightning data courtesy Global Position and Tracking Systems Pty Ltd (GPATS) A: Sandwich product and lightning (Himawari 8 10 minute data) satellite animations courtesy BOM/JMA B: Sandwich product C: Day Convection RGB product D: HRV/Convection RGB Sandwich Product Please start the Power Point Slide Show to activate the animation
16 Animation: 0840UTC
17 Summary of the session Sandwich Product midlatitude vs tropical tuning Indonesia / Malaysia / Singapore examples Variations in tuning of Sandwich Products (altering contrast and brightness in HRV channel) Kurnell storm example Sandwich Product and lightning / radar data Korea example Sandwich Day Convection RGB product NW Australia example
" The usefulness of RGB products: the perspective of the Australian Bureau of Meteorology "
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