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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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An ensemble learning method to combine different regional climate model outputs and produce principled uncertainty estimates of precipitation under different climate scenarios
Deep learning model to identify clouds over polar regions using satellite data from the Sentinel 3 SLSTR instrument
White paper on investment opportunities to support locally in community infrastructure and nature-based projects that reduce carbon emissions at their source or actively sequester carbon
Formalising the decision-making process of experienced Gaussian Processes users with an emphasis on kernel design and computational scalability
Downscaling precipitation using multi-fidelity Gaussian processes by combining data from multiple sources to increase prediction accuracy and provide uncertainty distributions over ungauged areas
Large-scale circulation patterns are used to make precipitation projections while contrasting flexible non-stationary covariance functions with methods incorporating domain knowledge
A pipeline for the identification, forecasting and causal prediction of pyrocumulonimbus clouds generated by extreme wildfires