Nettsider med emneord «Earth and environmental sciences»
Accurate mapping of surface greenhouse gas fluxes is necessary for the validation and calibration of climate models. In this project, we develop a novel framework using drone observations and machine learning to estimate greenhouse gas fluxes at a regional scale.
A primary goal of the Oman Drilling Project’s Multi-Borehole Observatory has been to understand geo-chemical/physical changes in the rock fluid environment that can be used to store human generated CO2. These boreholes have produced dozens of terabytes of seismic, hydrologic, geologic, and rock mechanics data.
POLARIS will investigate how the circum-Arctic region has changed over deep geological time. The main aim is to build a digital Earth model back to the Devonian (420 Million years) with a focus on plate tectonics and whole mantle convection (geodynamic processes).
In Permafrost4Life, we investigate how permafrost is entangled with ecosystems and the traditional herder lifestyle important for the Mongolian society.
The recent summer drought events in Europe and their associated devastating wildfires highlight the importance of understanding and predicting such extreme events and their impact.
In MASSIVE, the project team aims at improving glacier mapping and surface glacier mass balance estimation techniques with the help of machine learning, especially deep learning. We will develop the methodology for glaciers in Norway, Svalbard, the European Alps and the Himalayas and then expand it to regions with different glacier characteristics.
Observational and theoretical evidence suggest that bathymetry exerts an enormous influence on ocean currents. The proposed work seeks to bridge the gap between oceanographic theory, observations and climate models by utilizing idealized, nonlinear numerical models to study how diverse phenomena evolve over bathymetry.
SPATUS is a Thematic Research Group funded by UiO:Energy.
Snow in the mountains is a source for drinking water, hydropower, irrigation, but can also cause floods and geohazards. There are currently no efficient methods to measure depth of snow in mountains and remote areas.
The WINNER project aims to develop an efficient and durable technology platform based on electrochemical proton conducting ceramic (PCC) cells designed for unlocking a path towards commercially viable production, extraction, purification and compression of hydrogen at small to medium scale.