Article-Journal

Development of inter-grid-cell lateral unsaturated and saturated flow model in the E3SM Land Model (v2.0)

Jan 10, 2024

Understanding the compound flood risk along the coast of the contiguous United States

Nov 6, 2023

Topological Relationship-Based Flow Direction Modeling: Stream Burning and Depression Filling

Nov 4, 2023

A cleaner snow future mitigates Northern Hemisphere snowpack loss from warming

Oct 2, 2023

Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High-Fidelity and Physics-Agnostic Models

Sep 7, 2023

Energy Surplus and an Atmosphere-Land-Surface “Tug of War” Control Future Evapotranspiration

Aug 4, 2023

Topological Relationship-Based Flow Direction Modeling: Mesh-Independent River Networks Representation

Jan 24, 2023

Investigating coastal backwater effects and flooding in the coastal zone using a global river transport model on an unstructured mesh

Nov 3, 2022

Development of Land-River Two-Way Hydrologic Coupling for Floodplain Inundation in the Energy Exascale Earth System Model

Aug 2, 2022

Using a surrogate-assisted Bayesian framework to calibrate the runoff-generation scheme in the Energy Exascale Earth System Model (E3SM) v1
Using a surrogate-assisted Bayesian framework to calibrate the runoff-generation scheme in the Energy Exascale Earth System Model (E3SM) v1

The runoff outputs in Earth system model simulations involve high uncertainty, which needs to be constrained by parameter calibration. In this work, we used a surrogate-assisted Bayesian framework to efficiently calibrate the runoff-generation processes in the Energy Exascale Earth System Model v1 at a global scale. The model performance was improved compared to the default parameter after calibration, and the associated parametric uncertainty was significantly constrained.

Jul 1, 2022