Integrated metrics and benchmarking for the North American Land Data Assimilation System (NLDAS) (Invited Presentation)
For this presentation, the new/upgraded LSMs will be compared against the Phase 2 versions of the LSMs under the NLDAS configuration. The Land Verification Toolkit (LVT), developed at GSFC, will be used to evaluate the LSMs against available observations including streamflow, in situ soil moisture, snow products from in situ and remote sensing (e.g., depth, SWE, snow cover fraction), and surface fluxes from towers and from gridded flux products. This suite of tests will examine the effects of upgraded model physics and of data assimilation on the evaluation metrics (i.e., anomaly correlation, RMSE, bias, Nash-Sutcliffe efficiency, Taylor Skill Scores, etc.). Integrated metrics will be presented that will normalize these evaluations across separate components of the water cycle to investigate if the upgraded model physics and/or included data assimilation updates can enhance the simulation skill and improve the overall accuracy of the model products. Additionally, results will be presented from a regression model to estimate the information provided/lost from the model physics and model parameters. The goal of this work is to quantify the changes in model performance from the upgraded physics and data assimilation, and to identify the land model output that may be best for each end user's particular application.