Courses > Modeling 2018

Skill course: Modeling & Numerical Techniques

Category: Skill course
Credit points: 0.2 per day

>> Modeling 2015

>> Register here by August 30, 2018

The skill course will have a modular structure to satisfy both the need for an introduction into modeling in general and into specific areas of application.

1.  General information

Date: Nov 1-7, 2018
Place: seminar room B0.002, MPI-BGC

2.  Preliminary agenda

L = lecture, P = practical

Day Slot Type Content Who
Thu, Nov 1 Mathematical concepts Carlos Sierra
09:00 - 12:00 L

- Functions, limits, derivatives, integrals
- Systems of equations and linear algebra
- Differential equations

13:00 - 16:00 P

- Functions in R, splines and numerical integration
- Solving systems of equations in R
- Symbolic mathematics in SymPy
- Solving differential equations in R

Fri, Nov 2 Basics of ecological modeling Carlos Sierra
09:00 - 12:00 L

- Model formulation: concepts and model equations
- Ecological interactions and coupled equations
- Stability and steady-state

13:00 - 16:00 P

- Numerical solution of models
- Model-data integration

Mon, Nov 5 Foundations Axel Kleidon
09:00 - 12:15 L/P

Introduction to Earth system modeling
- Motivation: why modelling?
- Model definition, principles, implementation
- Physical basics: state variables, conservation laws, boundary conditions, formulation of fluxes, approximations

13:45 - 17:00 L/P

Basic differential equations
- Reservoir equation: background, numerical implementation, application
- Diffusion equation: background, numerical implementation, application

Tue, Nov 6 Energy balance and Land surface Axel Kleidon
09:00 - 12:15 L/P

Global energy balance modelling
- General circulation models (GCM)
- Energy balance models

13:45 - 17:00 L/P

Land-atmosphere interactions
- Surface energy balance models
- Boundary layer dynamics

Wed, Nov 7 Water balance and Complex systems concepts Axel Kleidon
09:00 - 12:15 L+P

Water balance modelling
- Catchment hydrology
- Soil hydrology models

13:45 - 17:00 L+P

Complex systems concepts
- Theoretical concepts: sensitivity, feedbacks, multiple steady states, tipping points
- Examples and applications

3.  What you need to prepare

There are no pre-knowledge needed to participate in the module on basic modeling.

Bring a laptop and make sure that a recent version of R is running on your laptop.
You can download the most recent version here:
RStudio is a new open-source integrated development environment that runs on all platforms. It nicely combines console, script editor, working directory, plots etc. into a an uncluttered layout that you can easily navigate. You need to have R installed before you can use RStudio as a development environment.

4.  Registration

Click here to register.

5.  Participants

This page was last modified on August 08, 2018, at 11:25 AM

powered by PmWiki