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 PressK. McGuffie K, A. HendersonSellers, A climate Modelling Primer, WileyBlackwell
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 multimodel 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  Linuxshellbased
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.
