2 citations · 2 across the 3 of their papers we have counts for
7 papers
Climate-informed cryospheric reanalysis via hierarchical Bayesian data assimilation
Kristoffer Aalstad, Esteban Alonso-González, Joel Fiddes +7
The cryosphere regulates global cycles of water, energy, and carbon, affecting societies and ecosystems. By assimilating observations into models, we can infer the past trajectory…
Vertical Attenuation of Thermoremanent Magnetic Anomalies: Implications for Drone-Borne Archaeological and Shallow Geophysical Surveys
Alexandru Hegyi, Kristoffer Aalstad, Arne Anderson Stamnes +6
Magnetic surveys are widely used in archaeology to reveal buried features by detecting variations in the Earth's magnetic field caused by past human activities. However, as sensor…
Evolving beyond collapse: An adaptive particle batch smoother for cryospheric data assimilation
Kristoffer Aalstad, Esteban Alonso-González, Norbert Pirk +3
We present a new adaptive particle-based data assimilation scheme for cryospheric applications that leverages promising developments in importance sampling. The proposed approach s…
Reddy: An open-source toolbox for analyzing eddy-covariance measurements in heterogeneous environments
Laura Mack, Norbert Pirk
Land-atmosphere exchange is mediated by turbulent fluxes that can be quantified using eddy-covariance (EC) measurements. EC has been widely used to measure ecosystem-scale vertical…
Probabilistic modelling of atmosphere-surface coupling with a copula Bayesian network
Laura Mack, Marvin Kähnert, Norbert Pirk
Land-atmosphere coupling is an important process for correctly modelling near-surface temperature profiles, but it involves various uncertainties due to subgrid-scale processes, su…
Guiding drones by information gain
Alouette van Hove, Kristoffer Aalstad, Norbert Pirk
The accurate estimation of locations and emission rates of gas sources is crucial across various domains, including environmental monitoring and greenhouse gas emission analysis. T…
Using reinforcement learning to improve drone-based inference of greenhouse gas fluxes
Alouette van Hove, Kristoffer Aalstad, Norbert Pirk
Accurate mapping of greenhouse gas fluxes at the Earth's surface is essential for the validation and calibration of climate models. In this study, we present a framework for surfac…