Search for dissertations about: "atmospheric models"
Showing result 1 - 5 of 300 swedish dissertations containing the words atmospheric models.
-
1. Paths to improving atmospheric models across scales : The importance of the unresolved scales
Abstract : Correct representation of physical processes, the parametrizations, and their interaction with the resolved circulation is crucial for the performance of numerical models. Here, focus is put on understanding model biases and developing tools to alleviate existing biases. READ MORE
-
2. Artificial intelligence in weather and climate prediction : Learning atmospheric dynamics
Abstract : Weather and climate prediction is dominated by high dimensionality, interactions on many different spatial and temporal scales and chaotic dynamics. This makes many problems in the field quite complex ones, and also state-of-the-art numerical models are - despite their immense computational costs - not sufficient for many applications. READ MORE
-
3. The Representation of Atmospheric Boundary Layer Processes in Global Climate Models
Abstract : The atmospheric boundary layer is the lowest part of the atmosphere, which is in direct contact with the surface. It is here, in this turbulent layer, that the exchange of heat, moisture and momentum between the surface and the atmosphere takes place. READ MORE
-
4. Mesoscale Simulations of Atmospheric Flow in Complex Terrain
Abstract : The MIUU mesoscale model was further developed, in order to include information on large-scale atmospheric fields from global or regional atmospheric climate- and weather-prediction models. For this purpose, a new lateral boundary condition was developed and implemented into the model. READ MORE
-
5. Aerosol-cloud-radiation interactions in global climate models
Abstract : Clouds can reflect, absorb and re-emit radiation, thereby inducing a cooling or warming effect on the climate. However, the response of clouds to a changing climate is highly uncertain and the representation of clouds in state-of-the-art climate models remains a key challenge for future climate projections. READ MORE