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Climate Modeling (LMAST) - A.A. 2021/2022 - (I Sem.)

                                         

Microsoft Teams Channel


G. Redaelli (gianluca.redaelli@aquila.infn.it)

L. Sangelantoni (lorenzo.sangelantoni@aquila.infn.it)


    

     TEXTBOOKS:

       J. Wallace and P. Hobbs, Atmospheric Science: An introductory survey, Academic Press
      K. McGuffie K, A. Henderson-Sellers, A climate Modelling Primer, Wiley-Blackwell

  
     Lessons

1
Tu 5
October
GR
Introduction to the course.
2
Th 7
October
GR
Present day climate. Temperature, pressure, winds. Surface winds and SST. 
3
Tu 12
October
GR
Black Body, spectra and radiative properties of the atmosphere. Calculation of the Effective Emission Temperature of the Earth.
4
We 13
October
GR
Greenhouse effect. Radiative Forcing and Climate Sensitivity.
5
Tu 19
October
GR Climate Equilibria, Sensitivity and Feedback. Climate feedback factors.
6
Tu 26
October

GR Main Climate Feedbacks. The climate system. Transient versus equilibrium response.
7
We 27
October
GR GHGs and GWP. Evidences of the building of GHGs and of global warming. Anthropogenic forcings.
8
Tu 2
November
GR Climate sensitivity (TCR, ECS and ESS) from model and experimental data.
9 We 3
November
GR
Stable, unstable and multiple equilibrium states: Daisyworld.
10
Tu 9
November
GR Climate tipping points. Basic types of Climate Models. Characteristics of Energy Balance Models (EBMs).
11 Tu 16
November
GR 1D Energy Balance Model for the calculation of Ts: numerical solution.
12 Tu 23
November
GR 1D Energy Balance Model for the calculation of Ts: numerical exercises.
13 We 24
November
GR Patterns and indices of Climate Variability: general characteristics and statistical derivation.
14 Tu 30
November
GR Patterns and indices of Climate Variability: ENSO, AO, NAO, PDO, PNA.
15 Tu 7
December
AR Oceanic General Circulation. 
16 Tu 14
December
GR Hierarchy and evolution of climate models.
17
We 15
December
AR Oceanic General Circulation.
19 Th 7
April
LS Climate system natural and anthropogenic forcing.
Climate change science, the Intergovernmental Panel on Climate Change 6th AR.
Spatial and temporal scales. Climate change signal.
20 We 13
April
LS Regional climate models and dynamical downscaling. Theory and applications
21 Th 14
April
LS Introduction to linux shell and matlab programming. Introduction to netcdf file format.
NetCDF files analysis and visualisation commands (ncview, ncdump and CDO functions)
22 We 20
April
LS Introduction to climate extremes. Shell scripting and multi-variable climate model outputs analysis.
23 Th 21
April
LS Climate extreme indices computation with CDO functions and shell scripting considering different regional climate models.
24 We 27
April
LS Shell scripting algorithms for climate model output statistical analysis.
25 Th 28
April
LS Matlab scripting algorithms for statistical analysis and visualisation of future climate model projections.



           Additional material can be found on the MsTeams channel of the course