Important announcement

Dear visitor,

Please note that this OpenCourseWare platform will be replaced at the end of 2026 by a new platform (under the same url ocw.tudelft.nl).

Courses and their contents that are currently available the platform will partly be migrated. URL’s for this content will change and content might be unavailable for some time. In addition, some courses will not be available anymore.

If you are linking to specific courses on this platform (for instance for your students), please take timely measures to avoid problems with access. Possible actions are:

  • Download the materials to your local platform (laptop, server)
  • For educators only (including TU Delft lecturers): Contact us at ocw@tudelft.nl and inform us what course you are using in what context (institute, program, period of use, number of students). We will research (in collaboration with the authors of the course) and decide if we will migrate the course, and if yes, can supply you with a new url.

Thank you.

Food for thought: sea level rise

Course subject(s) 2. Mathematical model

In the video the importance of taking sea level observations was explained. The figure below shows the record of global mean sea level based on tide gauge stations all over the world. In addition, you can see the satellite-based results, which are available only for the last 23 years.

From this figure it is clear that sea level is rising. The goal is now to “model” the sea level rise, since based on such a model we can make predictions.

Questions for you to think about, before continuing with this module:

  • What kind of mathematical model would you try to fit to the data set based on the tide gauge observations (e.g. straight line, exponential function, …)? And what are then the corresponding unknown parameters?
  • Will it be possible to solve the corresponding estimation problem? In other words: how to estimate the unknown parameters from the observations?
  • How to deal with the different precisions of tide gauge and satellite observations?

Try to answer these questions, but don’t worry if you can’t. The video’s and activities in this module will help you to find the answers and we will review the questions at the end of the module.

The data used for the graph were obtained from the website of the US Environmental Protection Agency. The data sources they used are the absolute sea level trends provided by Australia’s Commonwealth Scientific and Industrial Research Organisation and the National Oceanic and Atmospheric Administration. These data are based on measurements collected by satellites and tide gauges.

Creative Commons License
Observation Theory: Estimating the Unknown by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://ocw.tudelft.nl/courses/observation-theory-estimating-unknown.
Back to top
[sg_popup id=6]