Model performance of high flow events using a heterogeneous land surface configuration
Abstract
The current operational National Water Model (NWM) predicts streamflow over the entire continental United States using a single configuration to model land surface hydrology. However, land surface characteristics vary widely on the continental, regional, and local scales. Different place-dependent dominant land surface processes impede identification of a skilled, operational model at a large scale using a single model configuration. NOAA's Office of Water Prediction has developed a Next Generation Water Resources Modeling Framework (Nextgen) that allows simultaneous use of different hydrologic and hydraulic model formulations at different locations. The choice of formulation at different locations can be optimized, providing improved model skill and forecasts across a large domain. This work explores the ability to use different modules to simulate land surface processes within hydrologic model formulations running in the Nextgen Framework and examines the impact of different land surface hydrologic model formulations on model skill during high streamflow events. An event detection method allows identifying high streamflow events. Skill assessment during these events involves comparing modeled results to observed values through event metrics measuring the model's ability to simulate important hydrologic signatures such as peak flow, peak timing, and total event runoff volume.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2022
- Bibcode:
- 2022AGUFM.H55E..06M