Predicting future precipitation in the Upper Indus Basin using Gaussian processes
2022-2024 # climate # machine learning
The Upper Indus Basin, Himalayas provides water for 270 million people and countless ecosystems. However, precipitation, a key component to hydrological modelling, is poorly understood in this area. A key challenge surrounding this uncertainty comes from the complex spatial-temporal distribution of precipitation across the basin. In this project, we propose Gaussian processes kernels to overcome these challenges.