Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Onboard RAIN pan-European windstorm dataset into physrisk #318

Open
joemoorhouse opened this issue Jul 8, 2024 · 2 comments
Open

Onboard RAIN pan-European windstorm dataset into physrisk #318

joemoorhouse opened this issue Jul 8, 2024 · 2 comments
Assignees
Labels
enhancement New feature or request

Comments

@joemoorhouse
Copy link
Collaborator

The feature is to on-board the dataset:
https://data.4tu.nl/articles/dataset/Pan-European_data_sets_of_windstorm_probability_of_occurrence_in_present_and_future_climate/12719387
into physrisk,

The on-boarding script itself would be added to the hazard repo:
https://github.com/os-climate/hazard
following for example the pattern of:
https://github.com/os-climate/hazard/blob/main/src/hazard/onboard/tudelft_flood.py

The aim is also to apply damage functions from:
Feuerstein, B. et al. Towards an improved wind speed scale and damage description adapted for Central Europe. Atmos. Res. 100,
547–564 (2011).
https://trustedspotter.eu/content/images/1-s2.0-S0169809511000032-main.pdf

I would suggest we make use of the configuration-based functions of #312 - to use this as a test case.

@joemoorhouse joemoorhouse added the enhancement New feature or request label Jul 8, 2024
@joemoorhouse joemoorhouse self-assigned this Jul 8, 2024
@joemoorhouse
Copy link
Collaborator Author

Hi @jmcano-arfima, adding this issue in physrisk even if some of the work in hazard.

@jmcano-arfima
Copy link

jmcano-arfima commented Jul 9, 2024

Hi @joemoorhouse, thanks for opening the issue! Let me add two things:

The on-boarding of the RAIN data should be relatively straightforward, but it is provided as a historical return period/OEP map + relative changes in OEPs for the different scenarios. From what I understand other datasets (such as TUDelft riverine) were on-boarded from several return period maps. In any case the math is of course trivial, but it might require a bit more legwork on the dev side. If this is a common occurrence we could provision some standard methods to do the conversion (if not already done).

On the other hand, regarding Feuerstein, B. et al. damage functions, I fully agree that it would make an excellent test case. Let me share a digitization of the curves that was provided by the ECB:
Wind_Risk_and_Loss_Assessment_InputsECBProvided.xlsx
(let me know if we have a better solution to share files)

Here we could provide support for building typing à la Feuerstein but equally important (or even more so) would be to define the default behavior when this data is absent. From what I understand the ECB is building vulnerability curves out of weighted combinations of the original six at country level using the data in the 'Building Type per country_v2' sheet (that best fits the XWS catalogue). I think this would also be the best solution for us as it is quite economical in the sense that it only uses asset location, which is the bare minimum we are already asking for.

Edit: The above is what I understand from the provided ECB excel, but I will probably try to contact them again to confirm it myself.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

2 participants