Energy does not vanish
The energy of a closed system is steady. It is not lost but rather converted into other forms, such as when kinetic energy is transferred into thermal energy or vice versa heat results in a force.
However, this fundamental principle of natural science is often still a problem for climate research. For example, in case of the calculation of ocean currents, where small-scale vortices as well as mixing processes they induce need to be considered, without fully understanding where the energy for their creation originates from. This is similar in the atmosphere, the only difference being that air is moving instead of water. Again, local turbulences can drive larger movements or vice versa waves on a larger scale can disintegrate into small structures.
All these processes are important for the Earth’s climate and determine how temperatures will rise in the future.
Being Part of the Team: What TRR 181 PhDs say
Existing climate models show energetic and mathematical inconsistencies which may lead to fundamental errors in climate forecasts. Now is the right time to combine recent efforts in Meteorology, Oceanography and applied Mathematics and to go new ways.
Our newsletter comes out every three months and includes information about the work done in our project and more.
From Monday to Wednesday, June 7-9, the first RTG Spring School of the second phase of the TRR 181 took place. Due to the ongoing pandemic safety…
From May 4-5, 2021 the first fundamental course of the Research Training Group (RTG) took place via Zoom. Over 20 of our new PhD students attended the 2-half-day course on mathematical analysis and learned about important concepts of mathematics that underlie the different areas of the TRR 181.
Bauer, T. P., Holtermann, P., Heinold, B., Radtke, H., Knoth, O. & Klingbeil, K. (2021). ICONGETM v1.0 – flexible NUOPC-driven two-way coupling via ESMF exchange grids between the unstructured-grid atmosphere model ICON and the structured-grid coastal ocean model GETM. Geosci. Model Dev., 14, 4843–4863, doi: https://doi.org/10.5194/gmd-14-4843-2021.
Noethen, F. (2021). Computing Covariant Lyapunov Vectors in Hilbert spaces. J. Comput. Dyn., 2021, 8 (3): 325-352. doi: 10.3934/jcd.2021014.
Li, Q., Bruggemann, J., Burchard, H., Klingbeil, K., Umlauf, L., & Bolding, K. (2021). Integrating CVMix into GOTM (v6.0): a consistent framework for testing, comparing, and applying ocean mixing schemes. Geosci. Model Dev., doi: https://doi.org/10.5194/gmd-14-4261-2021.