Post-fire flood hazard model (PF2HazMo) version 1.0.0: Model scripts and parameterization and validation data

Human development at the foot of the mountains faces sediment-laden flood hazards characterized by high-velocity, erosive flows carrying mud and debris, and when flood control infrastructure that protects communities fills with sediment, it loses capacity. The estimation and management of sediment-laden floods have proven challenging because cycles of wildfire, precipitation, and infrastructure sedimentation are still poorly understood. Efforts to model compound hazards such as post-fire floods are relatively new, and existing models do not consider the role of flood control infrastructure, such as debris retention basins and flood channels, in the development of post-fire floods. Here we present data sources and calibration methods to estimate sediment-laden flood hazards downstream of infrastructure on a catchment-by-catchment basis using the Post-Fire Flood Hazard Model (PF2HazMo), a stochastic modeling approach that utilizes continuous simulation to resolve the effects of antecedent..., This repository contains the model scripts and data used to parameterize, calibrate, and validate the Post-Fire Flood Hazard Model (PF2HazMo).  PF2HazMo is a stochastic modeling framework that utilizes continuous simulation to resolve interactions between cycles of wildfire, rainfall, and the filling of protective flood control infrastructure with sediment.  This repository also contains model scripts and data used to conduct a sensitivity analysis and error propagation analysis of the model, as well as to produce post-fire flood hazard projections after model calibration.
The model was developed using and is designed to run in MATLAB.
A detailed description of the methods used to retrieve data and parameterize, calibrate, and validate PF2HazMo is provided in the publication associated with this dataset.  Below are links to the publicly available databases from which data was retrieved to parameterize and calibrate the model:
The topographic data used to estimate watershed morphology ar..., , # Post-Fire Flood Hazard Model (PF2HazMo) Version 1.0.0: Model Scripts and Parameterization and Validation Data

[https://doi.org/10.5061/dryad.8w9ghx3t2](https://doi.org/10.5061/dryad.8w9ghx3t2)

This repository contains the model scripts and data used to parameterize, calibrate, and validate the Post-Fire Flood Hazard Model (PF2HazMo). PF2HazMo is a stochastic modeling framework that utilizes continuous simulation to resolve interactions between cycles of wildfire, rainfall, and the filling of protective flood control infrastructure with sediment. Parameterization refers to estimating values for model parameters using data, while calibration refers to adjusting the value of a given model parameter to produce the closest fit between simulations and observations of the model response variable--in this case, post-fire peak streamflow. By \"validation,\" we mean the evaluation of model performance by comparing simulation results to observations of the model response variable--in this case, ...