Sylwester Arabas

FWIW, @claresinger @kaitlyn-loftus: back a few years ago, while looking for a simple example for coalescence on other planets/moons to try with PySDM, we have came across this paper on...

@claresinger, @trontrytel, thanks for following up > Do you really want your CI depend on Julia packages? Or would you rather just generate the data yourself once and then save...

Thank you @AgnieszkaMakulska ! Upon coalescence or breakup, in a way the super-droplets inherently loose their "identity", and we do not have (yet) any drop-labeling attribute. Sorting by one of...

@huangynj, please confirm if that helps in your case, so we can add it to the `main` branch (and add a test with your sample code). Thanks

Thank you @trontrytel !

Let me close this one as addressed. Thanks @huangynj for reporting, thanks @AgnieszkaMakulska for help!

`lambdaD` is the vapour molecular mean free path, however it seems that we might have a bug in the definition, at least as compared with libcloudph++: ```C++ return real_t(2) *...

it is still open due to: https://github.com/open-atmos/PySDM/blob/91d0307a1d71bf7e03d8ae52b4a15dbe487fff21/PySDM/initialisation/init_fall_momenta.py#L16 https://github.com/open-atmos/PySDM/blob/91d0307a1d71bf7e03d8ae52b4a15dbe487fff21/PySDM/initialisation/init_fall_momenta.py#L47 https://github.com/open-atmos/PySDM/blob/91d0307a1d71bf7e03d8ae52b4a15dbe487fff21/tests/unit_tests/initialisation/test_init_fall_momenta.py#L29

There is already a smoke test that should help here: `tests/smoke_tests/arabas_et_al_2015/test_adaptive_displacement.py`

:rocket: albedo (Bohren 1987), cloud depth (Stephens_1978) and related LWP (for parcel env only) added in #1256 kudos @claresinger!