Tag: Climate Models & Variability
Uncertainty Quantification of Satellite-Based Essential Climate Variables Derived from Deep Learning
Survey of uncertainty quantification methods for satellite-based climate variables derived from deep learning, addressing aleatoric and epistemic uncertainties in ECV estimation.
Simulated Assessment of the Impact of Climate Change on the Potential Distribution Range of Four Taxus Species in China
Climate change modeling reveals divergent habitat shifts for four Chinese Taxus species, with implications for pharmaceutical sourcing and conservation strategies across multiple future scenarios.
Toward a mechanistic characterisation of marine heatwaves
Mechanistic framework for marine heatwave characterization integrating spatiotemporal evolution with attribution of dominant physical drivers using kinematic object-based approaches.
