Kernel Learning for Explainable Climate Science. - Vidhi Lalchand; Kenza Tazi; Talay M. Cheema; Richard E. Turner; J. Scott Hosking (CoRR, 2022)

Identifying the Causes of Pyrocumulonimbus (PyroCb). - Emiliano Díaz Salas-Porras; Kenza Tazi; Ashwin Braude; Daniel Okoh; Kara D. Lamb; Duncan Watson-Parris; Paula Harder; Nis Meinert (CoRR, 2022)

Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds. - Kenza Tazi; Emiliano Díaz Salas-Porras; Ashwin Braude; Daniel Okoh; Kara D. Lamb; Duncan Watson-Parris; Paula Harder; Nis Meinert (CoRR, 2022)

Beyond Intuition, a Framework for Applying GPs to Real-World Data. - Kenza Tazi; Jihao Andreas Lin; Ross Viljoen; Alex S. Gardner; S. T. John; Hong Ge; Richard E. Turner (CoRR, 2023)

Refined climatologies of future precipitation over High Mountain Asia using probabilistic ensemble learning. - Kenza Tazi; Sun Woo P. Kim; Marc Girona-Mata; Richard E. Turner (CoRR, 2025)