Webpage of the course
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 PressK. 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. |