![]() Our analysis of tide gauge records shows that the setup captures the storm surge component of ocean dynamics at gauge locations very well, even though the model's capability to incorporate astronomical tides is limited. We evaluate our framework by comparing i) the flood surges of selected events to tide gauge records and modeled (GTSM) sea level, and ii) the flood extent maps to a global data set of satellite-based (MODIS) flood maps for the period 2000-2019. ![]() ![]() Thus, our setup can be applied to all ocean basins that experience TCs. The selected input data products include all world regions. We use open-source software and publicly available data sources only, making our approach fully transparent, reproducible and reusable for a global community of impact and risk modelers. ![]() We present a modeling framework for hindcasting TC surges, based on the open-source software GeoClaw. For instance, there is not yet a global data set of flood surges and flood extent maps from tropical cyclones. Often enough, the tools and data used are not publicly available, making it challenging to extend those analyses to other world regions. The existing research about hindcasting flood surges and flood plains caused by tropical cyclones (TCs) is largely specific to single storms, regions or countries.
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