CLIMATE MODEL ANALYSIS
Registrations for the 'Climate Model Analysis' Training Program will be accepted. Training will begin if the sufficient number of trainees (4-10 people) is reached.
INTRODUCTION
Environmental concerns have become increasingly important in our world. Much of this is because not only does society affect its natural environment—but our natural environment affects us as well. Perhaps the best example of this scenario is the phenomenon of global climate change and the social, ethical, economic, and political as well as environmental consequences that will result from it. Possible consequences are realized in future climate projections produced by climate models.
Students gain analysis skills in climate model output data. Here, an overview of existing climate model data and their differences is given. The binary format of the data is discussed, and how and with which software tools they can be analyzed is introduced. They learn about the global climate system by solving exercises using the software.
After following this class, students:
- know the climate data availability, how to access them and their format
- know and apply the software tools to analyze climate model data
- gain insights into the analysis of the global climate system
Students gain competencies in climate science and learn to communicate in the English language.
CONTENT OF THE COURSE
Goals and Prerequisites
You will
- gain analysis skills in climate model output data
- learn analysis software like R or Python
- work with binary data like netCDF data
- be able to evaluate the current discussion on climate change
You know and have
- some basic understanding of physics and math
Objectives to be covered in the lecture
- learn terminology about climate data
- get an overview of different types of climate data
- learn to understand climate data, climate projections
EDUCATION DATES
May 10 - June 11, 2024 (Tuesdays and Fridays 14.00-17.00 O’clock- in total 30 hours)
EDUCATION FEE: FREE OF CHARGE.
APPLICATION DEADLINE: May 8, 2024
REGISTRATION
Pre-Registration Form (Pls click to fill out the form online.) The training program is open to TGU students and external participants.
IMPORTANT NOTE: Since TAU-SEM will send informative e-mails during the registration period, it will be useful to check your e-mail box and also your junk (spam) box frequently.
EDUCATION LANGUAGE: English and German
CONTACT
E-mail: tausem@tau.edu.tr