DOI: 10.17603/ds2-ne6j-s897
title: Hurricane Matthew Storm Surge and Wave Simulations
title: in Hurricane Matthew Storm Surge and Wave Simulations with Data Assimilation

description: Further details on these runs are provided in the journal article that accompanies this data.  Sixteen runs of the model are included.  All runs share a similar configuration of the model, with the same mesh and numerical parameters.  The only differences between simulations are model forcing terms and the usage of data assimilation.  The runs can be broken into two groups: 12 runs based around Hurricane Matthew (2016) and 4 runs based around an idealized test case of the data assimilation methods.  Details on model input and output files can be found on http://adcirc.org the ADCIRC website.  

The 12 runs for Hurricane Matthew include 3 used to initialize the model and 9 varying combinations of meteorological inputs and data assimilation methods.  Runs listed under Simulation Model (A) were used to initialize the Hurricane Mathew case and are likely not of interest unless one wishes to reproduce the results herein.  The remaining 9 runs are in three groups of 3 runs each:  
Simulation Model (B.G) runs with basic-quality meteorological inputs.  
Simulation Model (B.N) runs with intermediate-quality meteorological inputs.  
Simulation Model (B.O) runs with high-quality meteorological inputs.  
Each of these contains a run without data assimilation (B.*.1), a run with the first data assimilation method (B.*.3), and a run with the second data assimilation method (B.*.4).  Note that the corresponding data assimilation analysis for each of these are categorized as (B.*.2).  

The idealized test of the data assimilation methods consists of 2 model initialization runs and 2 runs comparing the methods.  The two model initialization runs are under Simulation Model (C).  The two runs comparing the methods are under Simulation Model (D), with one run for the first method and the second run for the second.
description: This project holds model simulations and data analyses in support of a study developing and testing a new data assimilation technique to improve coastal water level model accuracy.  The study used three different sources for the model's wind and pressure (meteorological) inputs to force the ADCIRC+SWAN coupled ocean circulation and wave model for simulations of Hurricane Matthew (2016).  The study area covered the U.S. Atlantic coast from Florida through North Carolina, with some information provided throughout the Chesapeake Bay.  

Full details on this work are in the corresponding journal article (see Asher et al. in Related Work).  Three sources of meteorological forcing were used to hindcast Hurricane Matthew.  These correspond to lower- and intermediate-grade sources that are similar to what might be available during forecasting, and a third higher-grade source that is only available post-storm.  Two closely related data assimilation methods were developed and applied to improve model accuracy.  

Results showed that the data assimilation method substantially reduced model error by correcting for gradual errors in water levels.  These results also provide data on differences in performance between the three sources of meteorological inputs.  These data can be used for study of model hindcast performance, work on data assimilation methodology, or model sensitivity to meteorological inputs.