2 citations · 4 across the 5 of their papers we have counts for
5 papers
Variational Exploration Module VEM: A Cloud-Native Optimization and Validation Tool for Geospatial Modeling and AI Workflows
Julian Kuehnert, Hiwot Tadesse, Chris Dearden +7
Geospatial observations combined with computational models have become key to understanding the physical systems of our environment and enable the design of best practices to reduc…
Climate Impact Modelling Framework
Blair Edwards, Paolo Fraccaro, Nikola Stoyanov +4
The application of models to assess the risk of the physical impacts of weather and climate and their subsequent consequences for society and business is of the utmost importance i…
Surrogate Ensemble Forecasting for Dynamic Climate Impact Models
Julian Kuehnert, Deborah McGlynn, Sekou L. Remy +2
As acute climate change impacts weather and climate variability, there is increased demand for robust climate impact model predictions from which forecasts of the impacts can be de…
Deep Temporal Interpolation of Radar-based Precipitation
Michiaki Tatsubori, Takao Moriyama, Tatsuya Ishikawa +5
When providing the boundary conditions for hydrological flood models and estimating the associated risk, interpolating precipitation at very high temporal resolutions (e.g. 5 minut…
Overcoming Digital Gravity when using AI in Public Health Decisions
Sekou L Remy, Aisha Walcott-Bryant, Nelson K Bore +2
In popular usage, Data Gravity refers to the ability of a body of data to attract applications, services and other data. In this work we introduce a broader concept, "Digital Gravi…