9 citations · 26 across the 5 of their papers we have counts for
5 papers
Refined climatologies of future precipitation over High Mountain Asia using probabilistic ensemble learning
Kenza Tazi, Sun Woo P. Kim, Marc Girona-Mata +1
High Mountain Asia (HMA) holds the highest concentration of frozen water outside the polar regions, serving as a crucial water source for more than 1.9 billion people. Precipitatio…
Beyond Intuition, a Framework for Applying GPs to Real-World Data
Kenza Tazi, Jihao Andreas Lin, Ross Viljoen +4
Gaussian Processes (GPs) offer an attractive method for regression over small, structured and correlated datasets. However, their deployment is hindered by computational costs and…
Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds
Kenza Tazi, Emiliano Díaz Salas-Porras, Ashwin Braude +5
Pyrocumulonimbus (pyroCb) clouds are storm clouds generated by extreme wildfires. PyroCbs are associated with unpredictable, and therefore dangerous, wildfire spread. They can also…
Identifying the Causes of Pyrocumulonimbus (PyroCb)
Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude +5
A first causal discovery analysis from observational data of pyroCb (storm clouds generated from extreme wildfires) is presented. Invariant Causal Prediction was used to develop to…
Kernel Learning for Explainable Climate Science
Vidhi Lalchand, Kenza Tazi, Talay M. Cheema +2
The Upper Indus Basin, Himalayas provides water for 270 million people and countless ecosystems. However, precipitation, a key component to hydrological modelling, is poorly unders…