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Incorporate NHDPlus HR catchment datasets into get_catchment_characteristics() #414
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Thanks for writing this up @mjcashman -- The plan has always been that we would eventually have NHDPlusHR and possibly other catchment sets that would work with this. I'm excited that we might be there. I'd like to start chipping away at this functionality starting with #415 and with that, would be happy to add support for some attributes that link to NHDPlusHR. Regional datasets are fine -- I think we'll just want to indicate that certain variables are only available regionally in the index / metadata about them. An open question is where we want to assemble the index of variables in this case where we will have many sources of characteristics rather than the one big one that we have for NHDPlusV2. I could see the index being checked in to the nhdplusTools repository or managed separately... doing it separately may be wise since hyRiver would logically also track with this work. |
An initial goal here could be just getting the base NHDPlusHR attributes populated.
If we started with a parquet containing:
I could see doing a second file with a couple other things from MainstemsV3 such as:
Then, perhaps a "nice" NHDPlusHR network to facilitate network navigation could be added on -- but that's pretty far afield from the initial functionality of get_catchment_characteristics. Thoughts @mjcashman or others watching? |
A nice feature enhancement would be to enable the
reference_fabric
argument to accept a change from "nhdplusv2" to the "nhdplusHR", which would then switch to alternative dataset(s) produced for NHDPlusHR.A new dataset has been released by Gressler et al. 2024 for catchment characteristics attributed and accumulated at the NHDPlus High Res for the Chesapeake Bay watershed (HUCs 0205, 0206, 0207 and 0208).
These datasets are analogous to the NHDPlus Medium Res datasets produced by Mike Wieczorek, which are currently used as the data backbone for the existing
get_catchment_characteristics()
function. They are also cloud-hosted on S3 within sciencebase, in parquet file format, and have some existing data dictionary tables for use in variable querying and retrievals. The tables would need minor modification by joining them into a single master lookup table for joining and have s3 urls added, but that would be pretty straightforward.There are a few potential bigger conceptual limitations to implementation at this time, that I'll document below. But this is a good time to document this feature enhancement regardless.
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