Webpage of the course

Climate Modeling (LMAST) - A.A. 2020/2021 - (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 22
September
GR
Introduction to the course.
2
We 30
September
GR Present day climate. Temperature, pressure, winds. Surface winds and SST. 
3
Th 1
October
GR Black Body, spectra and radiative properties of the atmosphere. Calculation of the Effective Emission Temperature of the Earth. 
4
Tu 6
October
GR Greenhouse effect. Radiative Forcing and Climate Sensitivity.
5
We 7
October
GR Climate Equilibria, Sensitivity and Feedback. Climate feedback factors.
6
We 14
October
GR Main Climate Feedbacks. The climate system. Transient versus equilibrium response.
7
Th 15
October
GR
GHGs and GWP. Evidences of the building of GHGs and of global warming. Anthropogenic forcings.
8
Tu 20
October
GR Climate sensitivity (TCR, ECS and ESS) from model and experimental data.
9 Th 22
October
LS
Modeling the climate system at different temporal and spatial scales: (I) The global scale.
10
Tu 27
October
GR
Stable, unstable and multiple equilibrium states: Daisyworld.
11 Th 29
October
LS
Modeling the climate system at different temporal and spatial scales:(II) The regional scale.
12 Tu 3
November
GR
Climate tipping points. Model's design and application.
13 Th 5
November
LS
Introduction to shell and MatLab scripting.
14 Tu 10
November
GR
Basic types of climate models.
15 Th 12
November
LS
MatLab scripting: statistical analysis of seasonal climate predictions.
15 We 18
November
GR
1D Energy Balance Model (EBM) for the calculation of Ts: numerical solution.
17
Th 19
November
LS MatLab laboratory:MatLab programming, fundamentals of MatLab scripting.
Statistical analysis of probabilistic multi-model ensemble seasonal forecasts
18 We 25
November
GR
1D Energy Balance Model (EBM) for the calculation of Ts: numerical xercises
19 Th 26
November
LS Linux-shell-based scripting laboratory: Climate extremes. Definition and introduction to CDO language functions for climate extreme indices computation.
20 Th 3
December
LS
Shell and MatLab scripting laboratory. Climate extreme indices computation.Codes for the climate indices computation. Description and discussion of the students project.
21 Tu 15
December
AR
Oceanic Circulation (I): Physical  properties of seawater. Distributions of water properties. From temperature, Salinity Density and pressure to TS diagram. Energy Budget in Ocean. Wind driven circulation. Ekman Spiral, Ekman Transport and Ekman circulation. Upwelling and Downwelling
22 Th 17
December
AR
Oceanic Circulation (II): Geostrophic current. Equatorial circulation. Boundary currents and western intensification. Thermohaline circulation. Mediterranean circulation
23 Th 19
January
GR
Patterns and indices of Climate Variability: general characteristics and statistical derivation
24 Th 21
January
GR
Patterns and indices of Climate Variability: ENSO, AO, NAO, PDO, PNA.
From primitive equations to general circulation in an Aquaplanet atmosphere.



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