GOES-16 RGB Training material: some case studies over South - - PowerPoint PPT Presentation

▶
goes 16 rgb training material some case studies over
SMART_READER_LITE
LIVE PREVIEW

GOES-16 RGB Training material: some case studies over South - - PowerPoint PPT Presentation

Sep 24, 2023 362 likes •803 views

GOES-16 RGB Training material: some case studies over South America Ester Ito, Natlia Rudorff, Diego Souza, Douglas Uba, Silvia Garcia, Daniel Villa, Renato Negri CPTEC/ INPE Tokyo, Japan 7-9 November 2017 Outline Overview of

slide-1
SLIDE 1

GOES-16 RGB Training material: some case studies over South America

Ester Ito, Natália Rudorff, Diego Souza, Douglas Uba, Silvia Garcia, Daniel Villa, Renato Negri

CPTEC/ INPE

Tokyo, Japan 7-9 November 2017

slide-2
SLIDE 2

Outline

 Overview of the training material being

developed at CPTEC/INPE as VLab activity

 Examples of some case studies selected for the

training course

slide-3
SLIDE 3

Training Material

 Covers basics concepts related to

atmospheric radiation and remote sensing

follows the WMO guidelines for training operational meteorologists

slide-4
SLIDE 4

Training program for 2017

‘"Training Access and Use of JPSS and GOES-R Imagery for Environmental Applications" 28, May, 2017, Santos, SP, Face to face course at the Brazilian Symposium of Remote Sensing

"Training on GOES-16 for Operational Meteorological Services", 20 to 31/10/2017, internal, face to face for CPTEC's operational meteorologists

"Training on GOES-16 for Operational Meteorological Services", online for national and regional meteorological services - to be given by December 2017, (using MOODLE).

Extra:

Curso Iberoamericano de Meteorologia Satelital "Aplicaciones de imágenes y productos de satélites a la meteorología de latitudes medias", Santa Cruz de la Sierra, Bolívia, 25 de Setembro a 6 de Outubro, 2017.

slide-5
SLIDE 5

The Centres of Excellence (CoE) for training in Satellite Meteorology

DSA/CPTEC/INPE uses the platform for

  • nline training courses Moodle.

The developing RGB training course will be available in this platform.

slide-6
SLIDE 6

Module 1: Introduction to GOES-R and the benefits of the next generation environmental satellite for weather monitoring and forecast

Details about the new generation geostationary meteorological satellites

GOES-16 plataform: focus on ABI and GLM sensors

Spectral, spatial and temporal resolution of ABI data

Examples of images and derived products from ABI

GLM sensor: benefits and potential aplications

  • n nowcasting, weather monitoring

References training material for GOES-16 and

  • perational meteorology
slide-7
SLIDE 7

Module 2: Module 2: Advanced Baseline Imager spectral channels and applications for

  • perational meteorology

 Material was translated to spanish

slide-8
SLIDE 8

Module 3: Multichannel RGB composits: examples for operational meteorology

  • WMO Recomended RGBs
  • Case studies for South America
slide-9
SLIDE 9

R: red (vermelho) G: green (verde) B: blue (azul)

red green blue

+ + + = = =

green red blue yellow m agenta cyan

First, the basics of color composition are discussed Also, some color blindness test are applied to the students

slide-10
SLIDE 10

NIR 1.6 NIR 0.87 VIS 0.64

Recommended Range and Enhancement: Beam Channel Range Gamma Red ABI ch05 (NIR1.6) 0 …+100 % 1.0 Green ABI ch03 (VIS0.8) 0 ... +100 % 1.0 Blue ABI ch02 (VIS0.6) 0 ... +100 % 1.0 Eumetsat “recipe”

RGB Natural Color

Ito, Negri, Uba 2017

Ito, Negri, Uba 2017 Ito, Negri, Uba 2017 Ito, Negri, Uba 2017

10

The first RGB presented is the Natural Color, easiest to understand and discuss the color composition (previous slide).

slide-11
SLIDE 11

BGR BGR BGR BGR BGR BGR

CIRA Vlab

RGB Natural Color

After comparison between Vis/IR isolated channels and the RGB, a discussion about targets spectral response

slide-12
SLIDE 12

RGB Natural Color – Interpretação e aplicação

EUMETSAT Interpretation Guide

Aplicações típicas: ‐ Diferenciar nuvens de água e de gelo (fase de nuvem) ‐ primeira impressão dos sistemas de grande escala ‐ detecção de neve/gelo ‐ identificar cobertura de solo

  • uso diurno

Contribuição física de cada canal: NIR1.6 Espessura ótica, fase e tamanho da partícula – informação da gotícula de água, partícula grande e pequena de gelo VIS0.8 Espessura ótica, diferenças em vegetação – verde da vegetação VIS0.6 Espessura ótica, albedo – informação da espessura da nuvem

neve Nuvem alta espessa Nuvem baixa Nuvem baixa Nuvem baixa

  • ceano

vegetação solo Cirrus fino 12

  • ceano

Ito, Negri, Uba 2017

slide-13
SLIDE 13

Cases selected for the training course

 One strong cold airmass reaching Manaus-AM  One cyclogenesis  One cold front  One fog  One heavy snow over Argentina  Two recent severe weather events (TO DO)

slide-14
SLIDE 14
slide-15
SLIDE 15

15

Case #1: 18/07/2017 Strong polar cold airmass over South America

This cold airmass had reach Manaus-AM, located in the Amazon Rain forest

slide-16
SLIDE 16

Interpretando as contribuições…. Cor Canal/Dif.canais Pequena contribuição Grande contribuição Red WV6.2 – WV7.3 Úmido em níveis superiores Seco em níveis superiores GreenIR9.7 – IR10.3 Baixa tropopausa e alto ozônio Alta tropopausa e baixo ozônio Blue WV6.2 Seco em níveis superiores ou Úmido em níveis superiores ou alta TB (quente) baixa TB (frio)

Ito, Negri, Uba 2017 Massa de ar quente menos úmida

Massa de ar quente Nuvem alta espessa Massa de ar polar Corrente de jato/ Massa de ar seco/ Nível superior Elevada VP Nuvem baixa Nuvem média

EUMETSAT Interpretation Guide

Case #1: 18/07/2017 Strong cold airmass

slide-17
SLIDE 17

Evento 26/04/2017 Ciclogênese na América do Sul

slide-18
SLIDE 18

Ito, Negri, Uba 2017

18

RGB Airmass

slide-19
SLIDE 19

800hPa 300hPa 800hPa 500hPa 700hPa 700hPa 500hPa

B

Downdraft jet/ dry airmass/ high/med levels Cold conveyor belt Warm conveyor belt

Ito, Negri, Uba 2017

19

RGB Airmass

slide-20
SLIDE 20

GFS 2017‐04‐26 12:00UTC Wind + UR 500hPa

earth.nullschool.net

20

slide-21
SLIDE 21

Massa de ar quente menos úmida Massa de ar quente Nuvem alta espessa Massa de ar polar Corrente de jato/ Massa de ar seco/ Nível superior Elevada VP Nuvem baixa Efeito de limbo/borda Nuvem média Nuvem alta fina

Ito, Negri, Uba 2017

21

EUMETSAT Interpretation Guide

RGB Airmass

slide-22
SLIDE 22

22

Divisão de Satélites e Sistemas Ambientais

Evento 03/08/2017 Sistema frontal

slide-23
SLIDE 23

Massa de ar quente menos úmida Massa de ar quente Nuvem alta espessa Massa de ar frio Corrente de jato/ Massa de ar seco/ Nível superior Nuvem baixa Efeito de limbo/borda Nuvem média

Ito, Negri, Uba 2017

23

EUMETSAT Interpretation Guide

RGB Airmass Nuvem baixa Nuvem média

slide-24
SLIDE 24

Ito, Negri, Uba 2017

24

RGB Airmass

slide-25
SLIDE 25

Ito, Negri, Uba 2017

25

RGB Airmass

slide-26
SLIDE 26

Massa de ar quente menos úmida Massa de ar quente Nuvem alta espessa Massa de ar frio Corrente de jato/ Massa de ar seco/ Nível superior Nuvem baixa Efeito de limbo/borda Nuvem média

Ito, Negri, Uba 2017

EUMETSAT Interpretation Guide

RGB Airmass

slide-27
SLIDE 27

4 4 9 8 19 9 15 13 ,’, 22 22 14 14 , , 16 15 10 17 12 10 21 15 18 8 18 19 18 .. 21 16 16 10 15 14 .. 15

. . .

14 13 13 22

Ito, Negri, Uba 2017

RGB Airmass

slide-28
SLIDE 28

800hPa 300hPa 800hPa 500hPa 700hPa 700hPa 500hPa

B

Warm conveyor belt Cold conveyor belt Downdraft jet stream/ dry airmass/ high‐med levels

Ito, Negri, Uba 2017

RGB Airmass

slide-29
SLIDE 29

GFS 2017‐08‐03 12:00UTC Wind + UR 700hPa

earth.nullschool.net

29

slide-30
SLIDE 30

30

Divisão de Satélites e Sistemas Ambientais

Ito, Negri, Uba 2017

RGB Airmass

WV 6.9 m

Ito, Negri, Uba 2017

WV 6.9 m

slide-31
SLIDE 31

31

Ito, Negri, Uba 2017

Low pressure system formation

slide-32
SLIDE 32

32

Ito, Negri, Uba 2017

Low pressure system formation

slide-33
SLIDE 33

33

Ito, Negri, Uba 2017

Low pressure system formation

slide-34
SLIDE 34

34

Ito, Negri, Uba 2017

Low pressure system formation

slide-35
SLIDE 35

35

Ito, Negri, Uba 2017

Low pressure system formation

slide-36
SLIDE 36

36

Ito, Negri, Uba 2017

RGB Airmass

WV 6.9 m WV 6.9 m

slide-37
SLIDE 37

Fog Case 29 May 2017

slide-38
SLIDE 38

38

RGB Night Microphysics Fog/Stratus (case 20170529)

slide-39
SLIDE 39

39

Ito, Negri, Uba 2017

RGB Night Microphysics

slide-40
SLIDE 40

40

RGB Night Microphysics – Fog/Stratus

Recommended Range and Enhancement: Beam Channel Range Gamma Red IR 12.3 – IR 11.2 [-6 , 2] K 1.0 GreenIR 11.2 – IR 3.9 [-2 , 5] K 1.0 Blue IR 11.2 [243 , 293] K1.0 Eumetsat “recipe”

Ito, Negri, Uba 2017

slide-41
SLIDE 41

41

Evento 18/06/2017 Nevasca na Patagônia

slide-42
SLIDE 42

Potential cases for severe weather/nowcasting

30/sep/2017 25/oct/2017

slide-43
SLIDE 43

Thank you for your attention

ester.ito@ine.br natalia.rudorff@inpe.br diego.souza@cptec.inpe.br silvia.castro@inpe.br douglas.uba@inpe.br daniel.vila@inpe.br renato.galante@inpe.br

Acknowledgements: WMO for funding the CPTEC/INPE participation in this workshop