Matt Long (Jun 07 2022 at 17:26): Matt Long (Jun 07 2022 at 17:26):@Mengyang Zhou, @SBachman, does OceanParcels support computing back-trajectories? The forward problem is interesting, because we can tag a parcel of water and see where it goes. Back trajectories are interesting because, for example, if we have an observation at a point, we can see where the water came from.
Mengyang Zhou (Jun 07 2022 at 17:32):Yes, OceanParcels supports running in backward time. I can do some experiments on that.
Matt Long (Jun 07 2022 at 17:58):cool, stay focused on the forward runs
Matt Long (Jun 07 2022 at 17:58):at least for now
Mengyang Zhou (Jun 07 2022 at 18:00):Yeah, I see.
Matt Long (Jun 07 2022 at 21:42):This paper is focused on atmospheric dynamics, but seems relevant to the questions at hand:
https://journals.ametsoc.org/view/journals/atsc/51/4/1520-0469_1994_051_0530_cawsat_2_0_co_2.xml?tab_body=pdf
Matt Long (Jun 07 2022 at 22:16):and perhaps this:
https://acp.copernicus.org/articles/9/2577/2009/acp-9-2577-2009.pdf
Matt Long (Jun 14 2022 at 16:57):Here's an application of particle advection to the "RunningTide" approach to CDR (launching free-drifting algae platforms)
https://www.nature.com/articles/s41559-022-01722-1
Matt Long (Jun 14 2022 at 21:07):There's some relationship between our questions and "finite-time Lyapunov exponents," which provide a scalar representation of spreading rate. I am not sure how useful FTLE's are in the context of the problem at hand...but they might be and there's substantial literature exploring their applications.
Matt Long (Jun 22 2022 at 17:39):cc @SBachman
Matt Long (Jun 22 2022 at 17:52):FSLE: https://www.sciencedirect.com/science/article/pii/S1463500310001824
Matt Long (Jun 22 2022 at 17:52):FTLE: https://sites.krieger.jhu.edu/waugh/files/2015/07/Waugh_etal_2012_jpo.pdf
Matt Long (Jun 22 2022 at 17:53):https://core.ac.uk/download/pdf/36055385.pdf
Last updated: May 16 2025 at 17:14 UTC