Concepts

Statistical assessment of how well model outputs match observational data using metrics like correlation and efficiency measures

The balance of vertical radiative, conductive, and turbulent energy transfer across the infinitely thin plane of the surface

Machine learning approach that combines multiple algorithms to improve predictive performance and robustness

Statistical approach using prior distributions and likelihood functions to make probabilistic inferences about model parameters

A theoretical framework relating long-term evapotranspiration to water availability and atmospheric evaporative demand

High spatial resolution climate modeling at sub-kilometer scales for hydrological applications

Statistical approach using prior information and measurement uncertainties to optimally estimate atmospheric properties