Events

2018 Summer Course

Events.2018SummerCourse History

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  • L1 - History and Basic usage
  • L2 - Water clouds, ice water clouds
  • L3 - Aerosols, simple and in full detail
  • L4 - Surface properties, albedo, BRDF
  • L5 - Monte Carlo, how, pros and cons
  • L6 - 3D RT, examples with topology, IR cameras, clouds
  • L7 - Applications: simulation of ground and satellite-based sensors (solar and thermal)
  • L8 - Applications: Radiative forcing, look up tables for retrievals
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  • P5: Dra. Simone Costa (CPTEC/INPE) -
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  • P5: Dra. Simone Costa (CPTEC/INPE) - Estimating solar and terrestrial radiation components using satellite data
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  • http://libradtran.org
  • http://www.libradtran.org/doc/libradtran.pdf
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Software

  • WinSCP-5.13.1-Portable.zip
  • PuTTYPortable_0.70_English.paf.exe
  • acesso_floresta.pdf|Tutorial de acesso ao servidor floresta
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visit-if: At IF-USP, office for visiting professors, Ed. Basilio Jafet, Room 100
comp-if: At IF-USP, computer room. At the main entrance facing the library, its the first room on the right.
lec-if: At IF-USP, lecture room. We will use "Auditorio Novo 2"
visit-iag: At IAG-USP, office for visiting professors, Main building, Room 323
comp-iag: At IAG-USP, computer room. Room F108 at the Geophysics building.
lec-iag: At IAG-USP, lecture room. We will use "Auditorio 2"

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  • P3: Profa. Elisa T. Sena (UNIFESP) -
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  • P3: Profa. Elisa T. Sena (UNIFESP) - Radiative effects of biomass burning aerosols, deforestation and clouds in the Brazilian Amazonia
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For details of the agenda, please download this PDF file.

  • L1 - History and Basic usage
  • L2 - Water clouds, ice water clouds
  • L3 - Aerosols, simple and in full detail
  • L4 - Surface properties, albedo, BRDF
  • L5 - Monte Carlo, how, pros and cons
  • L6 - 3D RT, examples with topology, IR cameras, clouds
  • L7 - Applications: simulation of ground and satellite-based sensors (solar and thermal)
  • L8 - Applications: Radiative forcing, look up tables for retrievals
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  • P1-P5: Presentations about research topics related to TRM by Brazilian researchers
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  • P1: Prof. Alexandre L. Correia (IF/USP) - Amazon cloud microphysics from geostationary satellite observations
  • P2: Prof. Theotonio M. Pauliquevis (UNIFESP) - Measuring cloud properties with allsky IR cameras
  • P3: Profa. Elisa T. Sena (UNIFESP) -
  • P4: Profa. Marcia A. Yamasoe (IAG/USP) - Aerosol and cloud interactions with downward solar radiation at the surface in São Paulo
  • P5: Dra. Simone Costa (CPTEC/INPE) -
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Deadline for applications is 28th October

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Deadline for applications is 28th October

Deadline for LATE applications is 2nd November

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Lectures (L1-L9)

  • L1-L9: Lectures by Dr. Arve Kylling -- details to be announced shortly --

Practical exercises (M1-M9)

  • M1-M2: LibRadtran practices -- details to be announced shortly --
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Lectures (L1-L9) and Practical exercises (M1-M9)

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Collaboration:

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Organization:

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For applying, please fill the form below and send by email to hmjbarbosa+libradtran@gmail.com with subject: LibRadtran2018. Selected applicants will be notified by email, and will be posted on this webpage.

Please note that there is no registration fee, but also that there is no financial support.

to:

For applying, please fill the form below and send by email to hmjbarbosa+libradtran@gmail.com with subject: LibRadtran2018. Selected applicants will be notified by email, and will be posted on this webpage. Up to 27 students will be selected to attend the course.

Please note that there is no registration fee, but also that there is no financial support. However, we will help coordinating hotel reservations in double or triple rooms, for lowering the costs for those coming from different cities.

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If you require an invitation letter to request funds from your institution, please let us know by writing to the same email address informed above.

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Collaboration:

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Themes for Modeling Exercises

Students will be divided into 3 - 4 groups depending on how many are present. The exercises will involve basic data processing and then testing several hypothesis/processes in the atmosphere using LibRadtran.

The four themes that will be developed are:

-- to be announced shortly --

Download Files

The course lectures will be available on our FTP server: http://lfa.if.usp.br/ftp/public/2018SummerCourse/

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Tutoring sessions

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Tutoring sessions (T1-T12)

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  • L1-L9: -- details to be announced shortly --
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  • L1-L9: Lectures by Dr. Arve Kylling -- details to be announced shortly --
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  • M1-M2: -- details to be announced shortly --

Student presentations:

  • P1 to P4: Student presentation and evaluation of their modeling projects.
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  • M1-M2: LibRadtran practices -- details to be announced shortly --

Presentations (P1-P5)

  • P1-P5: Presentations about research topics related to TRM by Brazilian researchers
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  • T1 to T18: Discussion about your research with Dr. Kylling. Personally assigned slots based on your registration.
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  • T1 to T12: Discussion about your research with Dr. Kylling. Personally assigned slots based on your registration.

Students

  • Last afternoon: Students presentations and evaluation of their modeling projects.
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Lectures

  • Welcome and course intro
  • L1: Introduction to LibRadtran
  • L2: -- to be announced shortly --
  • L3: -- to be announced shortly --
  • L4: -- to be announced shortly --
  • L5: -- to be announced shortly --
  • L6: Advanced topics 1: -- to be announced shortly --
  • L7: Advanced topics 2: -- to be announced shortly --
  • L8: Advanced topics 3: -- to be announced shortly --
  • L9: Advanced topics 4: -- to be announced shortly --

Practical exercises

  • M2: -- to be announced shortly --
  • M3: -- to be announced shortly --
  • M4: -- to be announced shortly --
  • M5:-- to be announced shortly --
to:

Lectures (L1-L9)

  • L1-L9: -- details to be announced shortly --

Practical exercises (M1-M9)

  • M1-M2: -- details to be announced shortly --
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Student presentations:

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Student presentations:

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For applying, please fill the form below and send by email to hmjbarbosa+libradtran@gmail.com, with subject: LibRadtran2018.

to:

For applying, please fill the form below and send by email to hmjbarbosa+libradtran@gmail.com with subject: LibRadtran2018. Selected applicants will be notified by email, and will be posted on this webpage.

Please note that there is no registration fee, but also that there is no financial support.

Download registration form, word format
Download registration form, pdf format

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For applying, please fill the form below and send by email to hmjbarbosa+libradtran@gmail.com, with subject: LibRadtran2018.

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Deadline for applications is October

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Deadline for applications is 28th October

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[@ Deadline for applications is October ]@

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Deadline for applications is October

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Deadline for applications is October

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[@ Deadline for applications is October ]@

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Background on electromagnetism and/or radiative transfer in the atmosphere is needed. Prior contact with LibRadtran is advantageous, but not required. Each participant should have a laptop with linux and C and Fortran compilers. For those who cannot bring it with them, access to computer will be provided on site. Data analysis software to process LibRadtran output is free of choice, but should be able to read in ASCII files.

to:
  • Lectures will be conducted in English. Applicants therefore must be proficient or have a sound understanding of the English language in order to understand, communicate, and participate actively in the school activities.
  • Background on electromagnetism and/or radiative transfer in the atmosphere is needed. Prior contact with LibRadtran is advantageous, but not required.
  • Each participant should have a laptop with linux, with C and Fortran compilers. For those who do not have that, access to a local computer will be provided on site.
  • Data analysis software to process LibRadtran output is free of choice, but should be able to read in ASCII files (Matlab, R, Gnuplot, Python, Excel, etc.).

Applications:

Deadline for applications is October

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Radiation transfer in the atmosphere is fundamental to understand atmospheric physics processes. It is the energy source for winds and convection, biosphere- atmosphere interactions and is at the heart of climate stability as well as climate change. Aerosol physics is also strongly connected to radiation by photochemistry processes. Clouds interact with radiation both in shortwave and longwave spectra in such a complex way that is not fully understood. The modeling of all these interactions is crucial to advance the understanding of physical processes in the atmosphere, and LibRadtran is a state-of-the-art tool to numerically model these effects in a myriad of situations. This course will give students training on such numerical simulations at a level required for actual scientific research.

to:

Radiation transfer in the atmosphere is fundamental to understand atmospheric physics processes. It is the energy source for winds and convection, biosphere- atmosphere interactions and is at the heart of climate stability as well as climate change. Aerosol physics is also strongly connected to radiation by photochemistry processes. Clouds interact with radiation both in shortwave and longwave spectra in such a complex way that is not fully understood. The modeling of all these interactions is crucial to advance the understanding of physical processes in the atmosphere, and LibRadtran is a state-of-the-art tool to numerically model these effects in a myriad of situations. This course will give students training on such numerical simulations at a level required for scientific research.

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5 - 16 November 2018

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5 - 14 November 2018

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  • Welcome and course intro: P. Artaxo & R. Krejci + course lecturers
  • L0: Course intro
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  • Welcome and course intro
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  • L2:
  • L3:
  • L4:
  • L5:
  • L6: Advanced topics 1:
  • L7: Advanced topics 2:
  • L8: Advanced topics 3:
  • L9: Advanced topics 4:
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  • L2: -- to be announced shortly --
  • L3: -- to be announced shortly --
  • L4: -- to be announced shortly --
  • L5: -- to be announced shortly --
  • L6: Advanced topics 1: -- to be announced shortly --
  • L7: Advanced topics 2: -- to be announced shortly --
  • L8: Advanced topics 3: -- to be announced shortly --
  • L9: Advanced topics 4: -- to be announced shortly --
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  • M2:
  • M3:
  • M4:
  • M5:
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  • M2: -- to be announced shortly --
  • M3: -- to be announced shortly --
  • M4: -- to be announced shortly --
  • M5:-- to be announced shortly --
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  1. Modeling absorption and scattering of solar radiation in the atmosphere;
  2. Modeling thermal infrared radiation transfer in the atmosphere;
  3. Modeling light scattering by atmospheric particulates;
  4. Modeling radiation transfer in 3D;
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-- to be announced shortly --

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15:45 – 17:00T10T12T14T16P4
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(:Title 2015 Summer Course :)

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(:Title 2018 Summer Course :)

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  • L0: Aerosols and Climate - Course intro (Artaxo)
  • L1 and L2: Aerosol microphysics and dynamics (P. Tunved)
  • L3: Cloud microphysics and properties (V. Phillips)
  • L4: Cloud microphysics and properties (V. Phillips)
  • L5: Introduction to cloud modelling (V. Phillips)
  • L6: Introduction to cloud modelling (V. Phillips)
  • L7 Introduction to cloud modelling (V. Phillips)
  • L8 Introduction to cloud modelling (V. Phillips)
  • L9 and L10: Aerosol-cloud interactions (R. Krejci)
  • L11: Aerosols and climate (Hansson)
  • L12: Atmospheric aerosols in Amazonia (Rizzo)
  • L13: Aerosols and clouds over Amazonia (Barbosa)
  • L14: Role of Amazonia in Earth climate (Artaxo)
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  • L0: Course intro
  • L1: Introduction to LibRadtran
  • L2:
  • L3:
  • L4:
  • L5:
  • L6: Advanced topics 1:
  • L7: Advanced topics 2:
  • L8: Advanced topics 3:
  • L9: Advanced topics 4:
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  • M1: Model introduction
  • M2: Model introduction
  • M3: Data sets introduction, division into groups
  • M4: Data sets introduction, division into groups
  • M6 – M11 group work
  • M12: Groups work short presentations
  • M13 – M20 – group work
  • M21-22: final presentations and course summary
to:
  • M2:
  • M3:
  • M4:
  • M5:

Student presentations:

  • P1 to P4: Student presentation and evaluation of their modeling projects.

Tutoring sessions

  • T1 to T18: Discussion about your research with Dr. Kylling. Personally assigned slots based on your registration.
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Themes for Modelling Exercises

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Themes for Modeling Exercises

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The five themes that will be developed are:

  1. Evolution of aerosol size distribution of Manaus plume and assessing the importance or coagulation, condensation, dispersion and removal processes. For this part data from T2 and T3 sites provide the basis.
  2. Why is the aerosol size distribution in remote areas so stable? Here we thought of students to use data from T0 (ATTO) and test different processes forming aerosol size distribution over the rainforest (coagulation, condensation, removal, changing emission gas phase precursors).
  3. How do aerosols change clouds? here we propose to use data from T0 (clean) and T2 or T3 (polluted) and let students explore how different conditions and aerosol loading change the aerosol activation and resulting cloud microphysical properties. Besides different aerosol they can also test what more/less water vapor will do, etc.
  4. Why we do not see new particle formation over rainforest? The nucleation routines from Peter's model will be used together with real conditions (T0 site for example) to test by varying thermodynamic conditions (p, T, RH, solar insulation) and available gaseous precursors if a treshold, where model allows occurence of nucleation as we know it from other parts of the world.
  5. What is the direct radiative forcing of clean and polluted aerosol over Amazonas? Using aerosol optical data from T0, ZF2, T2 and T3 use the aerosol optical properties model routines to assess the direct radiative
to:

The four themes that will be developed are:

  1. Modeling absorption and scattering of solar radiation in the atmosphere;
  2. Modeling thermal infrared radiation transfer in the atmosphere;
  3. Modeling light scattering by atmospheric particulates;
  4. Modeling radiation transfer in 3D;
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  • On this map of the campus, the IAG is #22 and Physics is #27: http://www.usp.br/mapas/mapas/pdf/cidadeuniversitaria.pdf
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Maps: http://www.usp.br/mapas/mapas/pdf/cidadeuniversitaria.pdf (IAG is #22 and Physics is #27)

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Institute of Physics
Institute for Astronomy, Geophysics and Atmospheric Sciences\\

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Institute of Physics & Institute for Astronomy, Geophysics and Atmospheric Sciences\\

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Venue:

Institute of Physics
Institute for Astronomy, Geophysics and Atmospheric Sciences
University of Sao Paulo, Brazil
São Paulo – SP

The course will take place in computer labs from both institutes. More details later. To get there, see these instructions:

  • On this map of the campus, the IAG is #22 and Physics is #27: http://www.usp.br/mapas/mapas/pdf/cidadeuniversitaria.pdf

Hotel tips: Download Hotel Tips PDF

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Venue:

Institute of Physics
Institute for Astronomy, Geophysics and Atmospheric Sciences
University of Sao Paulo, Brazil
São Paulo – SP

The course will take place in computer labs from both institutes. More details later. To get there, see these instructions:

  • On this map of the campus, the IAG is #22 and Physics is #27: http://www.usp.br/mapas/mapas/pdf/cidadeuniversitaria.pdf

Hotel tips: Download Hotel Tips PDF

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Needed:

  • Background on electromagnetism and/or radiative transfer in the atmosphere;
  • Prior contact with LibRadtran is advantageous, but not required;

Each participant needs own computer. For those who cannot bring it with them, access to computer will be provided on site. Data analysis software to process the modeling tools output is free of choice, but should be able to read in ASCII files.

to:

Background on electromagnetism and/or radiative transfer in the atmosphere is needed. Prior contact with LibRadtran is advantageous, but not required. Each participant should have a laptop with linux and C and Fortran compilers. For those who cannot bring it with them, access to computer will be provided on site. Data analysis software to process LibRadtran output is free of choice, but should be able to read in ASCII files.

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Lecturers:

  • Prof. Paulo Artaxo
  • Dr. Henrique Barbosa
  • Dr. Luciana Rizzo (Uni. Sao Paulo)
  • Vaughan Phillips (Lund),
  • Dr. Peter Tunved,
  • Prof. HC-Hansson,
  • Dr. Radovan Krejci
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Needed: Access and prior knowledge of Matlab is advantage, but not requirement.

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Needed:

  • Background on electromagnetism and/or radiative transfer in the atmosphere;
  • Prior contact with LibRadtran is advantageous, but not required;
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Data analysis software to process the modelling tools output is free of choice, but should be able to read in ASCII files.

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Data analysis software to process the modeling tools output is free of choice, but should be able to read in ASCII files.

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Students will be divided into 3 - 4 groups depending on how many are present. The exercises will involve basic data processing and then testing several hypothesis/processes using set of modeling routines that can be combined together as building blocks.

Proposed themes for exercises are based on use of real data obtained during GoAmazon2014/15, but students are encouraged to bring their own datasets (see themes below). Specific scientific questions will be posed and evaluated using the modeling tools, guiding the students in their work. The five themes that will be developed are:

to:

Students will be divided into 3 - 4 groups depending on how many are present. The exercises will involve basic data processing and then testing several hypothesis/processes in the atmosphere using LibRadtran.

The five themes that will be developed are:

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The course files are located on our FTP server: http://lfa.if.usp.br/ftp/public/2015SummerCourse/

Matlab runtime libraries (for those who don't have full matlab installed)

  • Matlab 2014b runtime engine for x64 (701Mb)

Matlab aerosol routines

  • Peter's aerosol dynamics (8.5Mb)
  • Peter's radiative transfer with SBDART (111Mb)
  • Peter's GUI executable (3.5Mb)
  • Excel sheet for fitting lognormal distribution

Sample datasets

  • Sample GoAmazon data, site T0a - ATTO (24Mb)
  • Sample GoAmazon data, site T0z - ZF2 TT34 (30Mb)
  • Sample GoAmazon data, site T2 - Tiwa (24Mb)
  • Sample GoAmazon data, site T3 - Manacapuru (21Mb)

Cloud Exercises

  • Clouds Exercises I
  • Standard Atmosphere
to:

The course lectures will be available on our FTP server: http://lfa.if.usp.br/ftp/public/2018SummerCourse/

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Support:

Attach:?

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Department of Physics, University of Sao Paulo, Brazil
Rua do Matão, Travessa R, 187
05508-090 São Paulo – SP

The course will take place on room 105, Ed. Basílio Jafet. This is the same building where prof. Paulo and Henrique have their office. To get there, see these instructions:

  • Maps and instructions to get to Henrique's and Paulo's offices: Download Map
  • On this map of the campus, the physics institute is #27: http://www.usp.br/mapas/mapas/pdf/cidadeuniversitaria.pdf
to:

Institute of Physics
Institute for Astronomy, Geophysics and Atmospheric Sciences
University of Sao Paulo, Brazil
São Paulo – SP

The course will take place in computer labs from both institutes. More details later. To get there, see these instructions:

  • On this map of the campus, the IAG is #22 and Physics is #27: http://www.usp.br/mapas/mapas/pdf/cidadeuniversitaria.pdf
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The scope of the course is on atmospheric aerosols and clouds with special focus on tropics and Amazonia. Participants on the course will use aerosol analysis and modeling tools based on the CALM aerosol process based model (Tuved et al, Atmos. Chem. Phys., 10, 10161–10185, 2010). The tools will be applied on real observational data from wider Amazon Basin. The main goal is to focus on understanding the major physical, chemical and optical processes, together with transport in the atmosphere, controlling aerosol properties and distribution in the atmosphere.

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Radiation transfer in the atmosphere is fundamental to understand atmospheric physics processes. It is the energy source for winds and convection, biosphere- atmosphere interactions and is at the heart of climate stability as well as climate change. Aerosol physics is also strongly connected to radiation by photochemistry processes. Clouds interact with radiation both in shortwave and longwave spectra in such a complex way that is not fully understood. The modeling of all these interactions is crucial to advance the understanding of physical processes in the atmosphere, and LibRadtran is a state-of-the-art tool to numerically model these effects in a myriad of situations. This course will give students training on such numerical simulations at a level required for actual scientific research.

The course main Lecturer is Professor Arve Kylling, from the Norwegin Institute for Air Research, and one of the main developers of Libradtran. The course aims to promote the interaction between Dr. Kylling and students interested in radiative transfer in the atmosphere that already use, or plan to use, LibRadtran as a modeling tool. It is expected that students will strongly interact with Dr. Kylling and learn how to use the model to tackle important scientific questions, such as scattering by non-spherical particle and tridimensional effects. For that, the course will include theory, practice and personal tutoring sessions.

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  1. Lectures given by lecturers from University of Sao Paulo, Stockholm University and Lund University.
  2. Introduction to aerosol dynamics and chemistry process based models
  3. Introduction to cloud model
  4. Practical part involving data analysis of the observations from Amazonia and use of the aerosol process based modeling tools
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  1. Modeling absorption and scattering of solar radiation in the atmosphere;
  2. Modeling thermal infrared radiation transfer in the atmosphere;
  3. Modeling light scattering by atmospheric particulates;
  4. Modeling radiation transfer in 3D;
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Support:

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Support:

October 08, 2018, at 01:16 PM by 143.107.131.167 -
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(:Title 2015 Summer Course :)

Course on Applications of LibRadtran for Studying Interactions of Radiation with Aerosols and Clouds

Universidade de São Paulo & Norwegian Institute for Air Research

5 - 16 November 2018

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Venue:

Department of Physics, University of Sao Paulo, Brazil
Rua do Matão, Travessa R, 187
05508-090 São Paulo – SP

The course will take place on room 105, Ed. Basílio Jafet. This is the same building where prof. Paulo and Henrique have their office. To get there, see these instructions:

  • Maps and instructions to get to Henrique's and Paulo's offices: Download Map
  • On this map of the campus, the physics institute is #27: http://www.usp.br/mapas/mapas/pdf/cidadeuniversitaria.pdf

Hotel tips: Download Hotel Tips PDF

Scope:

The scope of the course is on atmospheric aerosols and clouds with special focus on tropics and Amazonia. Participants on the course will use aerosol analysis and modeling tools based on the CALM aerosol process based model (Tuved et al, Atmos. Chem. Phys., 10, 10161–10185, 2010). The tools will be applied on real observational data from wider Amazon Basin. The main goal is to focus on understanding the major physical, chemical and optical processes, together with transport in the atmosphere, controlling aerosol properties and distribution in the atmosphere.

The course includes:

  1. Lectures given by lecturers from University of Sao Paulo, Stockholm University and Lund University.
  2. Introduction to aerosol dynamics and chemistry process based models
  3. Introduction to cloud model
  4. Practical part involving data analysis of the observations from Amazonia and use of the aerosol process based modeling tools

Lecturers:

  • Prof. Paulo Artaxo
  • Dr. Henrique Barbosa
  • Dr. Luciana Rizzo (Uni. Sao Paulo)
  • Vaughan Phillips (Lund),
  • Dr. Peter Tunved,
  • Prof. HC-Hansson,
  • Dr. Radovan Krejci

Requirements:

Needed: Access and prior knowledge of Matlab is advantage, but not requirement. Each participant needs own computer. For those who cannot bring it with them, access to computer will be provided on site. Data analysis software to process the modelling tools output is free of choice, but should be able to read in ASCII files.

Work plan:

Lectures

  • Welcome and course intro: P. Artaxo & R. Krejci + course lecturers
  • L0: Aerosols and Climate - Course intro (Artaxo)
  • L1 and L2: Aerosol microphysics and dynamics (P. Tunved)
  • L3: Cloud microphysics and properties (V. Phillips)
  • L4: Cloud microphysics and properties (V. Phillips)
  • L5: Introduction to cloud modelling (V. Phillips)
  • L6: Introduction to cloud modelling (V. Phillips)
  • L7 Introduction to cloud modelling (V. Phillips)
  • L8 Introduction to cloud modelling (V. Phillips)
  • L9 and L10: Aerosol-cloud interactions (R. Krejci)
  • L11: Aerosols and climate (Hansson)
  • L12: Atmospheric aerosols in Amazonia (Rizzo)
  • L13: Aerosols and clouds over Amazonia (Barbosa)
  • L14: Role of Amazonia in Earth climate (Artaxo)

Practical exercises

  • M1: Model introduction
  • M2: Model introduction
  • M3: Data sets introduction, division into groups
  • M4: Data sets introduction, division into groups
  • M6 – M11 group work
  • M12: Groups work short presentations
  • M13 – M20 – group work
  • M21-22: final presentations and course summary
WEEK 116/317/318/319/320/3
 MonTueWedThuFri
09:00-10:15 L1L3L5L7
10:45 – 12:00ArrivalL2L4L6L8
 LunchLunchLunchLunchLunch
14:00 – 15:15WellcomeM1M3M5M7
15:45 – 17:00L11M2M4M6M8
WEEK 223/324/325/326/327/3
 MonTueWedThuFri
09:00 – 10:15L9L12L14.1M15M19
10:45 – 12:00L10L13L14.2M16M20
 LunchLunchLunchLunchLunch
14:00 – 15:15M9M11M13M17M21
15:45 – 17:00M10M12M14M28M22

Themes for Modelling Exercises

Students will be divided into 3 - 4 groups depending on how many are present. The exercises will involve basic data processing and then testing several hypothesis/processes using set of modeling routines that can be combined together as building blocks.

Proposed themes for exercises are based on use of real data obtained during GoAmazon2014/15, but students are encouraged to bring their own datasets (see themes below). Specific scientific questions will be posed and evaluated using the modeling tools, guiding the students in their work. The five themes that will be developed are:

  1. Evolution of aerosol size distribution of Manaus plume and assessing the importance or coagulation, condensation, dispersion and removal processes. For this part data from T2 and T3 sites provide the basis.
  2. Why is the aerosol size distribution in remote areas so stable? Here we thought of students to use data from T0 (ATTO) and test different processes forming aerosol size distribution over the rainforest (coagulation, condensation, removal, changing emission gas phase precursors).
  3. How do aerosols change clouds? here we propose to use data from T0 (clean) and T2 or T3 (polluted) and let students explore how different conditions and aerosol loading change the aerosol activation and resulting cloud microphysical properties. Besides different aerosol they can also test what more/less water vapor will do, etc.
  4. Why we do not see new particle formation over rainforest? The nucleation routines from Peter's model will be used together with real conditions (T0 site for example) to test by varying thermodynamic conditions (p, T, RH, solar insulation) and available gaseous precursors if a treshold, where model allows occurence of nucleation as we know it from other parts of the world.
  5. What is the direct radiative forcing of clean and polluted aerosol over Amazonas? Using aerosol optical data from T0, ZF2, T2 and T3 use the aerosol optical properties model routines to assess the direct radiative

Download Files

The course files are located on our FTP server: http://lfa.if.usp.br/ftp/public/2015SummerCourse/

Matlab runtime libraries (for those who don't have full matlab installed)

  • Matlab 2014b runtime engine for x64 (701Mb)

Matlab aerosol routines

  • Peter's aerosol dynamics (8.5Mb)
  • Peter's radiative transfer with SBDART (111Mb)
  • Peter's GUI executable (3.5Mb)
  • Excel sheet for fitting lognormal distribution

Sample datasets

  • Sample GoAmazon data, site T0a - ATTO (24Mb)
  • Sample GoAmazon data, site T0z - ZF2 TT34 (30Mb)
  • Sample GoAmazon data, site T2 - Tiwa (24Mb)
  • Sample GoAmazon data, site T3 - Manacapuru (21Mb)

Cloud Exercises

  • Clouds Exercises I
  • Standard Atmosphere