Relatório de Missão GPM-GV e relâmpago (Roma e Paris)....
Transcript of Relatório de Missão GPM-GV e relâmpago (Roma e Paris)....
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.
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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
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• 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
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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
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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
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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
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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
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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
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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