Closed Zapiano closed 11 months ago
@ConnectedSystems Can you refresh my mind about our discussing earlier?
The 4D cube was mortality across:
I imagine 4 dimensions are necessary because the mortality for each species group would be different
For example, a cyclone scenario for 1 location, 1 species:
Mortality / timestep: [0.0, 0.0, 0.0, 0.233, 0.133, 0.0, 0.0, ... 0.125, 0.1, 0.0]
EDIT: I think I understand what your idea is. You just want to store the mortalities for each cyclone category? We then get cyclone data from somewhere else?
Whereas I thought we'd get the cyclone data, precompute the mortalities, then use those directly.
I have updated the description of this issue then. I didn't include the "location" dimension (yet) because the mortality doesn't depend on that. Do you know if the scenarios (sequence of windspeed values) depend on the locations?
I have updated the description of this issue then. I didn't include the "location" dimension (yet) because the mortality doesn't depend on that. Do you know if the scenarios (sequence of windspeed values) depend on the locations?
This is actually wrong. The cyclone scenarios depend on the location, that's why this dimension is needed.
Following the approach on
https://aslopubs.onlinelibrary.wiley.com/doi/epdf/10.4319/lo.2008.53.2.0690
Part of #516
There are 5 Cyclone categories base on windspeed (according to BOM site and that the above paper is using):
Following there's a description of the approach I'm going to take to address this issue:
This is going to be partly addressed by this
rrap-dg
repository PR: https://github.com/open-AIMS/rrap-dg/pull/1But it will also be necessary to change ADRIA external interface to read this data from the Data Package.