Data is ubiquitous in climate and ecosystems sciences. Despite the abundance of data to process, data science has not had a considerable impact on research for a better understanding of the complex dynamics of climate-ecosystem exchange. Accurate modeling of such dynamics is necessary for attribution of climate change, prediction of future data, as well as for planning future actions. Ecological processes exhibit variation over different spatial and temporal scales. Over at least some scales, these processes are nonlinear with possible unobserved causes/confounders.
2021 – 2024