Sökning: "Land Surface Model"
Visar resultat 1 - 5 av 105 uppsatser innehållade orden Land Surface Model.
1. Drivers of sea level variability using neural networks
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : Understanding the forcing of regional sea level variability is crucial as many people all over the world live along the coasts and are endangered by extreme sea levels and the global sea level rise. The adding of fresh water into the oceans due to melting of the Earth’s land ice together with thermosteric changes has led to a rise of the global mean sea level with an accelerating rate during the twentieth century. LÄS MER
2. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : Global mean sea level is rising, however not uniformly. Regional deviations of sea surface height (SSH) are common due to local drivers, including surface winds, ocean density stratifications, vertical land- & crustal movements and more. LÄS MER
3. Evaluation of the ERA5-Land dataset for estimation of soil moisture in the permafrost region
Master-uppsats, Stockholms universitet/Institutionen för naturgeografiSammanfattning : The permafrost region covers a vast area of land surface on the northern hemisphere,storing large amounts of carbon. Unfortunately, climate warming leads to permafrostthaw altering the hydrothermal state of permafrost soils. Due to the remoteness of thepermafrost region, access to field measurements is restricted. LÄS MER
4. 3D geospatial data requirements for simulating noise using the Nord2000 model: Case study of the impact of building façade types and roof configurations on simulated traffic noise levels
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : The European Union implements the Environmental Noise Directive (END), which offers a framework for evaluating and assessing environmental noise. All EU members are required to create strategic noise maps to inform the public about noise pollution and its effects. LÄS MER
5. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure
Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesiSammanfattning : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. LÄS MER