Relatório de Missão – GPM-GV e relâmpago (Roma e Paris).

Missão – participar do workshop do GPM-GV (Global Precipitation Measurement –

Ground Validation) e na Reunião de preparação do experimento Relâmpago.

Período e Trajetos:

São Paulo - Roma Domingo dia 3 de Novembro

Roma – Paris dia 7 de Novembro

Paris-São Paulo dia 8 de Novembro

Participação:

A reunião do GPM-GV contou com a participação dos principais pesquisadores envolvidos

com a estimativa de precipitação por satélite e radar. A interação com esse grupo, bem

como a divulgação dos resultados do CHUVA foi muito importante para a inserção do

Projeto no cenário internacional e a realização de contados para aprimorar a cooperação

internacional nas próximas campanhas. A participação da NASA, o empréstimo de

equipamentos e as parcerias com a Itália, Estados Unidos e França, foram tratados nessa

reunião.

O Projeto CHUVA foi apresentado na sessão - Field Measurements I: Physical Validation

and Algorithm Implications. Além da apresentação do Projeto fui responsável pela sessão -

National Gauge and Direct Validation Activities . O programa da reunião e a apresentação

se encontram anexo.

O Projeto CHUVA está trabalhando na preparação de experimentos futuros que consistem

em uma sequência das questões exploradas pelo CHUVA. O experimento de Santa Maria

motivou os pesquisadores americanos, europeus, argentinos e brasileiros a realizar uma

nova campanha intitulada de Relâmpago. Aproveitando a missão e a reunião do grupo

coordenador em Roma, nos reunimos em Paris no dia seguinte, com os grupos franceses

para apresentar a proposta do experimento e motiva-los a participar com os

equipamentos de radiometria e a aeronave Falcon. (em anexo o programa e a

apresentação realizada nessa reunião).

Luiz A. T. Machado

Relampago Meeting on November, Tuesday 5 - Rome

Presents: Bob Houze, Steve Goodman, Ernani Nascimento, Steve Nesbitt,

Paola Salio, Luiz Toledo Machado

Bod Houze mentioned we need to have a large endorsement from many programs,

principally those related with WCRP and WWRP in order to success at NSF.

The WWRP endorsement was obtained on July 2013, last JSC meeting. Steve Goodman

will recommend to make a presentation in the WWRP-Nowcasting meeting in Geneva

next year, in order to present

RELAMPAGO and to get the endorsement of this group.

We need to make a more solid connection with NCAR on the Nowcasting side. Including

Rita Roberts/Jim Wilson/etc. Other groups?

We need to contact "social impact" people and a strong hydrological

component.

Broaden hydrological component: We mentioned the consideration to invite Dennis

Lettemaier (U. Washington) because he has been working on activities over La Plata Basin

-LPB (RELAMPAGO area is included in LPB). Luiz mentioned previously that Eric Wood at

Princeton would also be interested, and we have already made contact with Dave Gochis,

who is interested on the measurements/ modeling side.

Paola question at this moment: How can we involve people from NSSL who are working

on the social side of warn on forecast? Problems from NSSL must be similar with the

problems we have in central Argentina, maybe they can be interested on. Steve: The

Societal Impacts Program at NCAR would also be of interest.

We were discussing with Bob about a question that we really need to justify correctly:

"Why NSF would invest on studying storms in Argentina considering there regions in US

with similar storms than we see in

Argentina?

In order to answer this question we need to create a climatology and compare US vs

central Argentina and to find answers and justification. Kristen Rassmussen and Luciano

Vidal (Bob Houze and Paola Salio PHD stundents and provide a lot of information to make

this comparation).

We were discussing about many topics but the aerosol component can be a possible

answers especially considering will invest a lot of money on study this activity. Paola will

contact people from Argentina to try to enlarge the aerosol community, particularly Laura

Davidosky and Graciela Ulke. Need to identify relevant people on the US side in

measurements and modeling. Suggestions are welcome in this point.

Steve Goodman consider he can apply to deploy the LMA network in central Argentina in

order to have a cal/val site for GOES-R and S. How can we involve DOE/AMF or aircraft in

this project? The project seems like a nice focus for aerosol/cloud life cycle. Which

established PI's would be good to contact?

Mike Jensen? Ann Fridlind?

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++

Relampago Meeting on November, Friday 8 - Paris

Presents: Magali Buget, Jean Pierre Chaboureau, Eric Defer, Victoria

Galligani, Steve Nesbitt, Catherine Prigent, Celeste Saulo, Paola Salio,

Luiz Toledo Machado, Jean-Yves Grandpeix, Julien Delanoe

RELAMPAGO Workshop Draft agenda 9am – 12pm: Structured discussion . Science questions/results + minimum science instrumentation Paola: MCS/DSD Eric Defer: European geostationary lightning, Lightning measurements, Modeling/CRM/GCM, Field experiment/airborne radiometer UKMO, Aerosol measurements Steve Nesbitt/Kristen Rasmussen/Stella Choi: Topography/mesoscale evolution/synoptic linkages Luiz Machado: CHUVA Project

Agencies Celeste Saulo: WWRP participation (short) WCRP: Luiz Machado

Instrumentation (operational: in place, research: already funded vs. proposed), funding sources Argentina: Brazil: France: Low frequency lightning measurements, verify lightning measurement approaches (GLM), aircraft US NSF: US NASA: US NOAA: Observational strategy: open discussion Funding opportunities: traditional and non-traditional sources Modeling 12-1 pm: Lunch 1-4 pm: Continue unstructured discussion in the afternoon, with the goal of an outline for an international white paper by the end of the day, with writing assignments and timelines.

Main points discussed:

RELAMPAGO can be a site for MTG-LI algorithm validation site before launch and cal/val

site for TARAMIS lightening sensor considering it will be launched in 2015.

We will wait for the LEFE comments and we will try to apply for a ANR proposal in January

2015 on RELAMPAGO activities.

Catherine Prigent and Eric Defer will start to check possibilities at CNES in order to apply

for a project to support RELAMPAGO activities and FALCON flight hours.

The FALCON has a ceiling of 12 km, and could be equipped with electric field sensors, a

high frequency microwave radiometer, (SN: and possibly microphysics/aerosol probes?)

Magali Buguet present the development of a LF instrument and the possibility to test the

instrument during the field campaign. The sensor is in a developing phase. EUMESAT, it is

not interested on supporting activities in RELAMPAGO considering large expenses during

CHUVA.

Catherine Prigent had a good suggestion that we need to come up with a 2 or so sentence

selling point for the project. Otherwise the project will be too broad.

29/04/2014

1

6

Luiz.Machado@cptec.inpe.br

CHUVA Field Campaign Schedule

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEZ

2010 Alcantara

2011 Fortaleza Fortaleza Belem Belem Vale do Paraiba

Vale do Paraiba

2012 Vale do Paraiba

Vale do Paraiba

Vale do Paraiba

Santa Maria

Santa Maria

2013

São Paulo

São Paulo

Manaus

Manaus

2014 Manaus

Manaus Manaus Manaus

Manaus

Manaus

Manaus

Manaus Manaus Manaus

• ftp and New Access thought Application

A contact mail to help solve doubts

29/04/2014

2

• Download Data Selecting the Available Options

Downloads in October

2013.

By FTP - ~140 Gb

By HTTP - ~70 Gb

Data Collection Project

Chuva Project

Data availability

* The Alcantara X-Band radar is not the CHUVA Gematronik X-Band

Details address to Thiago Biscaro

5 e 25 dBZ

Varredura em

azimute (0-360º)

elevação de 90º

89º

ZDR Correction and Wet radome.

Details address to Jojhy Sakuragi

CHUVA SUL Radars and Radiossondes

Unfortunately X

band had

problems , only

two S band

Radiosonde

29/04/2014

3

Projeto CHUVA (Sul): instrumentação.

~123km

Micronet.

Container Instrumentation Severe Events Weather Forecast Using

Ensemble High resolution Model.

Meso NH, WRF, RAMS, ETA

6 Golden Cases

http://chuvaproject.cptec.inpe.br/portal/workshop/informacao.html 54 oral presentation covering Modeling, Rainfall

Estimation, Cloud Processes and Lightning

29/04/2014

4

Some of the Results

ALG. COR BIAS POD FAR HEIKE AGREE RMS

BRAIN 0,34 3,50 0,81 0,48 0,26 0,06 7,60

GPROF 0,38 0,86 0,81 0,49 0,25 0,12 4,81

MODELO ACUMULADO (mm/h)

OBS 1651.46

BRAIN 4479.44

GPROF 2350.85

13/11/2011 – 21:50 UTC – CHUVA radar

See Daniel Vila for details

RADAR COR BIAS POD FAR HEIKE AGREE RMS

PR (TRMM) 0.442444 1.19624 0.929348 0.222727 0.193642 0.278788 9.50375

MODELO ACUMULADO (mm/h)

RADAR CHUVA 2492.04

PR (TRMM) 3084.18

CHUVA radar, disdrometers and TRMM PR comparisons

Figura 1- Average profilesof the (a) Zh(dBZ) , Zdr(dB), 𝐊dp(okm-1) and𝛒hv in function of VHF sources occurrence classes: without (NO VHF, blue dashed line), low (LOW, green solid line), moderate (MOD, red solid line) and high (HIGH, black solid line) VHF sources occurrence classes.

Figure1 - Plan Position Indicator at 7.8o elevation at 2012-01-17 15:54 UTC for (a) Zh(dBZ) , Zdr(dB), 𝐊dp(okm-1) e 𝛒hv.For the map of Zh(Figure A) is showed the distribution of VHF sources (pink dots), negative cloud-to-ground lightning (-CG, blue crosses) and positive cloud-to-ground lightning (+CG, red crosses) that occurred during the time of scan radar. Dashed concentric circles from radar are isotherms of 0,-10 and -25oC.

See Enrique V. Mattos*, and Luiz. A. T. Machado* for details

WII – Warm and Ice Index

WII=1 Pure Warm Cloud Rainfall

WII=-1 Pure Ice Cloud Rainfall

29/04/2014

5

DSD Gamma Parameterization

The DSD gamma parameters for Vale (black dots), Belém (brown dots) and Santa

Maria (white dots) in the three-dimensional space composed by N0, m and L. The

color of the interpolated surface is associated with the L values. See Luiz Machado and JP Chaboureau for details

Cloud Organization – Observed and Modelled

Mixed

Glaciated

Higher

RR

27 See Alan Claheiroas and Luiz Machado for a detailed description

DSD and Reflectivity Profiles for each rainfall Type

Warm Clouds Stratiform Clouds Convective Clouds

ZR and ZW relationship

33.1353RZ Alcântara 48.123736LWCZ

31.1305RZ Fortaleza 45.117555LWCZ

37.1322RZ Belém 48.119794LWCZ

39.1337RZ Vale 57.125084LWCZ

Integrated Liquid Water (mm)

Site

Non rainy Rainy

ILWC (MW) ILWadia

(RS)

MRR XPOL ILWR (HLCL–H0°C-1km) VIL

General Warm Stratiform (BB*) Deep Convection Mixed Glaciated

Fortaleza Mean 0.21 0.25 0.23 0.57 0.22 0.18 5.12 0.13 0.02

Std 0.22 0.34 0.41 1.89 0.45 0.19 4.70 0.36 0.04

Belem Mean 0.41 0.38 0.28 0.33 0.07 0.18 2.47 0.19 0.07

Std 0.57 0.45 0.43 0.81 0.14 0.13 1.56 0.90 0.17

Alcântara Mean 0.34 0.20 - 0.32 0.14 0.28 1.85 0.06 0.03

Std 0.22 0.31 - 0.70 0.29 0.22 2.04 0.10 0.10

Vale do Paraíba Mean 0.14 0.34 0.41 0.25 0.02 0.18 2.27 0.22 0.01

Std 0.10 0.55 1.36 0.73 0.05 0.15 1.85 0.90 0.02

Warm Rain Mean 0.21 0.13

Std 0.36 0.31

Stratiform (with

BB)

Mean 0.28 0.22

Std 0.65 0.22

Convective Mean 2.45 3.71

Std 3.18 3.66

Satellite rain

estimation

IR

MW+IR

MW

OBS 57GHz

183±1GHz

6.9GHz

dTB: Channel

Differences

(Rainy)

Channel Differences

(Residuum: |rainy-clear|)

Tests: Chuvoso=Rainy

Σ Clear Sky

Rainy

Is It Possible Estimate Warm Rain Using Satellites?

See Alan Calheiros and Luiz A. T. Machado for details

GoAmazon 2014

IARA

ACRIDICON

ARM

CHUVA

29/04/2014

6

04 November 2014 – Instruments

starting the travel to Manaus Green Ocean Amazon (GOAmazon) 2014-15

Joint US, Brazilian, and German effort to understand and quantify the

influence of aerosol and gaseous outflow from a tropical megacity on

the carbon cycle, cloud life cycle, aerosol life cycle, and cloud-

aerosol-precipitation interactions, including as a baseline the

functioning of each cycle and their couplings for pristine conditions

Kuhn et al. (2010)

Manaus

~200 km NE ATTO (T0 )

T2-UEA/USP/ACRF(AOS) West edge of Manaus

T3 –ACRF (AMF1 & MAOS) Large pasture site

T1-INPA/UEA INPA campus (Manaus)

GOAmazon sites 1

2

3

MANAUS

D. Rosenfeld

ARM Mobile Facility in Amazônia (AMFA) “Intensive Airborne Research in Amazonia 2014”

(IARA-2014)

The ARM Aerial Facility (AAF) in Brazil

Scot Martins – GoAmazon PI

29/04/2014

7

Cloud Properties

Instrument Measurement

Water Content

WCM-2000 Liquid, total and ice water content

Size Distribution

CPI Images of cloud particles 2 to1000 mm

Fast-CDP Size Distribution 2 to 50 mm

2DS Size Distribution 10 to 3,000 mm

HVPS-3 Size Distribution 400 to 50,000 mm

G-1 GOAmazon Payload

Priority Program SPP 1294 – Atmospheric and

Earth System Research with the Research Aircraft

HALO (High Altitude and Long-Range Research

Aircraft)

Ceiling: 15 km

Range: 8000 km

Payload: 3 t

ACRIDICON

Strategy: Sample …

- Below cloud,

- At cloud base at an early stage,

- In growing upshear parts

- The anvil region, and

- Above cloud top.

Mission Type 1: Cloud Vertical Evolution

Objectives: Observe …

- Vertical evolution of

cloud microphysical properties,

- Droplet/crystal growth and

freezing mechanisms,

- Warm and cold

precipitation formation.

Profile 3000-46000 ft: 1.5 hours

ACRIDICON

8-13 km

3 hrs

2-8 km

1 hr

0-2 km

1 hr

Mission Type 2: Aerosol Processing

1

0 Total duration = 4-6 h

Fast cloud development requires adequate methods!

MODIS

ACRIDICON

Mission Type 3: Satellite Validation

Stochastic approches Random flight tracks

GOAmazon observations/Models

• Radars: DOE KAZR, W- and Ka-SACR, CHUVA X-Pol, SIPAM S-band

• Soundings: 4/day at AMF1, 2/day at Manaus, enhanced sounding array during IOPs (Feb-Mar 2014, Sep-Oct 2014)

• Other sensors: lidars, AERI, wind profilers, ceilometers, MW radiometers, disdrometers, gauges.

• Aircraft: DOE G1 and German HALO during select IOPs (G1 maximum altitude is 5-7 km)

• Satellites: TRMM/GPM, CloudSat, GOES

• Modeling: Forcing data set will be created, a number of operational (e.g., CPTEC) and research model runs (both cloud and regional scale) are planned

Courtney Shumacker, JP Charboureau, Saulo Freitas

29/04/2014

8

Summary • CHUVA initiated the last campaign after 4 years

of field campaigns.

• GoAmazon-CHUVA-IARA-ACRIDICON will collect important data for GPM – TRMM and GPM will be flying – airplanes – radars-tropical rainfall.

• Several results are coming up that can help improve GPM Algorithms and validation.

• The overlapping between modeling-observation is being exploited – to move toward to a model-assimilation based algorithm.

6

Grazie

Relatório de Viagem

Viagem para Zagreb dia 6 de Abril 2014.

Reunião Convection Working Group dia 7 a 11 de Abril, em Zagreb no Hotel Dubrovinick.

Apresentação de três trabalhos: O sistema de Observação de tempo severo, Observação da

estrutura de vento no topo das nuvens usando multicanais e Projeto CHUVA.

A reunião foi muito interessante, pois abordou a questão da previsão imediata, principalmente

utilizando satélites e debatida com um grupo de especialistas de diversos países (Europa, EUA,

Coreia, Japão e China). Cerca de 40 especialistas debateram questões ligadas à convecção em

sessões sobre previsão de iniciação da convecção, detecção de severidade em sistemas maduros,

imageamento rápido de sistemas e integração da informação para nowcasting. Um importante

ponto de discussão foi relativo ao satélite GOES-R, MSG e a terceira geração de satélites da

EUMETSAT. Diversos sistemas foram apresentados que poderão ser implementados no CPTEC

como o NearestCast, topos penetrativos e plumas de convecção e de iniciação de convecção.

Luiz A. T. Machado

2014 Convection Working Group Workshop 07-11 April 2014

Hotel Dubrovnik

Zagreb, Croatia

Draft Agenda

Monday 07 April 2014

12:00 Registration

13:00 Welcome speech by Ivan Čačić, Director of the Meteorological and Hydromeorological Service of Croatia (DHMZ) and President of WMO Region VI

Ivan Čačić

Introduction of the workshop, logistics, adoption of the agenda, action review and future chairmanship

Marianne König Martin Setvák

Session: Pre-convective Environment, Part I Suggested session chair:

Ralph Petersen

GII and forecast background fields Marianne König

Satellite derived instability indices – some further insights (part I)

Mária Putsay

Satellite derived instability indices – some further insights (part II)

Zsófia Kocsis

15:30 Coffee Break

Diagnosing and predicting the pre-convective environment on 20 June 2013

Ralph Petersen

Preliminary results on using hyperspectral data in stability analyses

Izidor Pelajić

Tuesday, 08 April 2014

08:30 Session: Pre-convective Environment, Part II Suggested session chair: Mária Putsay

Use of satellite measurements of surface skin temperature for retrieving the intensity of thermals

Daniel Rosenfeld

Development of Instability Index of GEO-KOMPSAT-2A

Sung-Rae Chung

Brief introduction to a tool upgrade José Miguel Fernández-Serdán

10:30 Coffee Break

Lessons learned at the ESSL summer experiment regarding current and future observations and predictions of the pre-convective moisture structures

Ralph Petersen

Symmetric instabilities in DMC initiation Thomas Krennert

12:30 Lunch Break

Session: Early Convection Suggested session chair: John Mecikalski

Use of high-resolution NPP/VIIRS imager for retrieving cloud base temperature and application for estimating boundary layer vapour mixing ratio

Daniel Rosenfeld

The rapid developing convection detection at CMA

Danyu Qin

Efforts of upgrading Rapidly Developing Cumulus Area product using NWP data and the satellite simulator

Yasuhiko Sumida

15:30 Coffee Break

Session: Mature Convective Clouds, Part I Suggested session chair: Wayne Feltz

Dynamical processes at the storm top

Pao Wang

Using MSG retrieved cloud parameters for nowcasting of severe convective storms

Daniel Rosenfeld

Case study of cold ring-shaped storm Jochen Kerkmann

Wednesday, 09 April 2014 ( Workshop Dinner in the evening)

08:30 Session: Mature Convective Clouds, Part II Suggested session chair: Nataša Strelec Mahović

Status of LI proxy data

Jochen Grandell

Nowcasting the fortracc and lightning - the CHUVA campaign

Luiz Machado

Importance of remote sensing data in cases where NWP does not capture convection

Mateja Iršič Žibert

10:30 Coffee Break

Weather watches and warnings for the 20 May 2013 Moore, OK, tornado outbreak

Wayne Feltz

The African Easterly Waves and their influence on hurricane activity in the tropical North Atlantic: An assessment of hurricane Bill (2009) using SEVIRI data and products

Humberto Barbosa

Short information: More on hurricanes Jochen Kerkmann

12:30 Lunch Break

Session: Mature Convective Clouds, Part III Suggested session chair: Ján Kaňák

The use of multi-channel imagery for inner cloud wind extraction and cloud classification

Luiz Machado

Use of the VIIRS Day-Night Band for nocturnal storm-top studies and for night-time sandwich products

Martin Setvák

15:30 Coffee Break

Session: Rapid Update Imagery, Part I Suggested session chair: Vesa Nietosvaara

1-min super rapid scan demonstrations at the GOES-R proving ground

Steve Goodman

The co-evolution of of total lightning, ground-based radar derived fields, and GOES 1-min super rapid scan satellite observatins of deep convective cloud tops

Kristopher Bedka

2013 MSG 2.5 min rapid scan experiments - summary and Martin Setvák

early results

Evaluation of overshooting tops observed in super RSS experiments in both HRV and IR spectral channels with respect to detectability of OT brightness temperatures and penetration heights

Ján Kaňák

Thursday, 10 April 2014

08:30 Session: Rapid Update Imagery, Part II Suggested session chair: Mateja Iršič Žibert

2.5 min scans: Case study in NE Italy - a supercell outbreak

Agostino Manzato

Uses of 1-min GOES data for understanding in-cloud processes

John Mecikalski

Preliminary remarks and analysis of Meteosat 2.5 min data in convective situations

Monika Pajek

Consistency checks of RSS and super RSS image time sequences and their importance in evaluation of storm top features

Ján Kaňák

10:30 Coffee Break

Session: Combining Datasets, Part I Suggested session chair: Luiz Machado

Relationship between lightning, radar fields and satellite IR

data for convective storms

John Mecikalski

Synergetic use of multi-sensor data

Kathrin Wapler

Forecast verification and forecasters' feedback: one year of COALITION operational service

Luca Nisi

Integrated Observations for Probabilistic Severe Storm Prediction

Wayne Feltz

12:30 Lunch Break

Session: Combining Datasets, Part II Suggested session chair: Dennis Stich

OTs and lightning and connection to hail occurrence

Nataša Strelec Mahović

Short-range forecasting and nowcasting operational Oleksii Kryvobok

products for severe weather

Analysis of a tornadic storm case with use of model data

Monika Pajek

Generating Climate Data Record of hazardous storm Kristopher Bedka

15:30 Coffee Break

The OASE project within the Hans Ertel Centre for Weather research – data composite and early results

Fabian Senf

Hail project and the Alpine Thunderstorm Archive (ATA): New research activites at MeteoSwiss

Luca Nisi

The severe storm geographical observation system

Luiz Machado

Friday, 11 April 2014

08:30 Session: Combining Datasets, Part II (continued)

Short information: Development of satellite-based climate data records of hazardous convective storm activity

Kristopher Bedka

Demonstration of what we can learn from combining satellite, radar and model data at the ESSL testbed

Pieter Groenemeijer

Final Discussion Items

Marianne König Martin Setvák Pieter Groenemeijer

CWG Website, regular Newsletter

CWG Best Practice Document

10:30 Coffee Break

Final Discussion Items (continued)

Date and Location of next meeting

AOB

12:00 Lunch (optional)

Convection Working Group – Luiz Machado

Resumo Inner convective system cloud-top wind estimation using multichannel

infrared satellite images Knowledge of deep convective system cloud processes and dynamic structures is a key feature in climate change and nowcasting. However, the horizontal inner structures at the cloud tops of deep convective systems are not well understood due to lack of measurements and the complex processes linked to dynamics and thermodynamics. This study describes a new technique to extract inner cloud-top dynamics using brightness temperature differences. This new information could help clarify ring and U or V shape structures in deep convection and be potentially useful in nowcasting applications. Indeed, the use of high-resolution numerical weather prediction (NWP) models, which now include explicit microphysical processes, requires data assimilation at very high resolution as well. A standard atmospheric motion vector tracking algorithm was applied to a pair of images composed of combinations of Spinning Enhanced Visible and Infra-red Imager (SEVIRI) channels. Several ranges of channel differences were used in the tracking process, such intervals being expected to correspond to specific cloud-top microphysics structures. Various consistent flows of motion vectors with different speeds and/or directions were extracted at the same location depending on the channel difference intervals used. These differences in speed/direction can illustrate local wind shear situations, or correspond to expansion or dissipation of cloud regions that contain high concentrations of specific kinds of ice crystals or droplets. The results from this technique were compared to models and ancillary data to advance our discussion and inter-comparisons. Also, the technique proposed here was evaluated using SEVIRI images simulated by the radiative transfer model RTTOV with input data from the UK Met Office Unified Model. A future application of the new data is exemplified by showing the relationship between wind divergence calculated from the new atmospheric motion vector and convective cloud top intensification.

Cloud reflectivity profile classification using MSG/SEVIRI infrared multichannel and TRMM data

This work analyses the capability of utilizing cloud-top multispectral radiation to extract information about the vertical reflectivity profile of clouds. Reflectivity profiles and cloud type classification were collected using the Tropical Rainfall Measuring Mission (TRMM) 2A25 algorithm and brightness temperature multispectral channels (3.9, 6.2, 8.7, 10.8, and 12 μm) from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) aboard the Meteosat Second Generation (MSG) satellite. The analysis was performed on four cloud types: convective, warm, and stratiform with and without bright band, using a four-channel combination (10.8–3.9, 6.2–10.8, 8.7–10.8, and 10.8–12.0 μm). The study was applied over Tropical Africa at the MSG subsatellite point, in August 2006. Sixteen individual profile types were detected: three warm, four convective, three stratiform without bright band, and six stratiform with bright band. These cloud profile types were examined using cloud-top multichannel brightness temperature differences. The channel combination results demonstrated that the information obtained from cloud-top radiation enables us to detect specific individual characteristics within the cloud reflectivity profile. The channel combinations employed in this study were effective in identifying warmand cold cloud types. In the 10.8–3.9 and 8.7–10.8 μm channels, brightness temperature differences were indicated in the detection of warm clouds, while the 6.2–10.8 μm channel was noted to be very efficient in classifying cold clouds. Cold clouds types were much more difficult to classify because they

possess a similar multichannel signature, which caused ambiguity in the classification. In order to reduce this uncertainty, it was necessary to use texture information (space variability) to acquire a clearer distinction between different cloud types. The survey analysis showed good performance in classifying cloud types, with an accuracy of about 77.4% and 73.5% for night and day, respectively.

Missão: Extensão do período em Toulouse.

Período do dia 1 a 8 de Agosto de 2013.

Objetivo: Concluir estudo sobre o efeito da turbulência na organização de nuvens utilizando o

modelo MESO-NH para simular casos de convecção dos experimentos do CHUVA.

Essa missão teve como objetivo concluir o trabalho acima mencionado antes de retornar ao Brasil.

Essa missão conta com a extensão de uma missão para análise dos dados do CHUVA no

Laboratório Midi Pyrenees do CNRS, em Tolouse, responsável pelo modelo não hidrostático Meso-

NH. Essa semana adicional a missão anteriormente prevista foi realizada para concluir as

simulações e fechar o trabalho científico. Para concluir o trabalho foi necessário realizar algumas

simulações extras para verificar o impacto da turbulência na microfísica das nuvens. O trabalho

submetido se intitula: “Effect of Turbulence Parameterization on Assessment of Cloud

Organization ”, tendo como autores Luiz A. T. Machado e Jean- Pierre Chaboureau. Esse

manuscrito foi submetido ao Monthly Weather Review.

Luiz A. T. Machado

July 8, 2013

To whom it may concern

I certify that Luiz Augusto Toledo Machado is inviting to spend an extra week –

the first week in August 2013 - at Laboratoire d’Aérologie in Toulouse, France in the

framework of the CHUVA project. This extra week will allow us to finishing the writing

of a scientific paper related to the use of satellite and radar data for constraining the

representation of turbulence in a meteorological model.

Sincerely yours,

Dr. Jean-Pierre Chaboureau Head of the mesoscale modelling group LA, Université de Toulouse et CNRS