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. 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.
|