Global tropical cyclone wind speed return period maps.

This dataset is derived with minimal processing from the following datasets created by Bloemendaal et al, which are released with a CC0 license:

[1] Bloemendaal, Nadia; de Moel, H. (Hans); Muis, S; Haigh, I.D. (Ivan); Aerts, J.C.J.H. (Jeroen) (2020): STORM tropical cyclone wind speed return periods. 4TU.ResearchData. Dataset. https://doi.org/10.4121/12705164.v3 

[2] Bloemendaal, Nadia; de Moel, Hans; Dullaart, Job; Haarsma, R.J. (Reindert); Haigh, I.D. (Ivan); Martinez, Andrew B.; et al. (2022): STORM climate change tropical cyclone wind speed return periods. 4TU.ResearchData. Dataset. https://doi.org/10.4121/14510817.v3 

Datasets containing tropical cyclone maximum wind speed (in m/s) return periods, generated using the STORM datasets (see https://www.nature.com/articles/s41597-020-0381-2) and STORM climate change datasets (see https://figshare.com/s/397aff8631a7da2843fc). Return periods were empirically calculated using Weibull's plotting formula. The STORM_FIXED_RETURN_PERIOD dataset contains maximum wind speeds for a fixed set of return periods at 10 km resolution in every basin and for every climate model used here (see below).

The GeoTIFFs provided in the datasets linked above have been mosaiced into single files with global extent for each climate model/return period using the following code:

https://github.com/nismod/open-gira/blob/219315e57cba54bb18f033844cff5e48dd5979d7/workflow/rules/download/storm-ibtracs.smk#L126-L151

Files are named on the pattern: STORM_FIXED_RETURN_PERIODS_{STORM_MODEL}_{STORM_RP}_YR_RP.tif

STORM_MODEL is be one of constant, CMCC-CM2-VHR4, CNRM-CM6-1-HR, EC-Earth3P-HR or HadGEM3-GC31-HM. The "constant" files are for the present day, baseline climate scenario as explained in dataset [1]. The other files are for 2050, RCP8.5 under different models as explained in the paper linked from dataset [2].

STORM_RP is one of 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000 or 10000.