Conversation
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Following our convos, I've located the appropriate height levels variable within the netcdf and made changes accordingly: https://github.com/aria-tools/ARIA-tools/blob/sss_raidersup/tools/ARIAtools/extractProduct.py#L629-#L645 Note from this height field, I realized the heights were already in ascending order, so I reverted the tweak I made to flip the tropo layers. |
update GACOS function to agree with MintPy's
add tropoTotal
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@dbekaert regarding your note on another PR, looks like the build is failing because it's running out of the allotted 4Gb RAM in the container under the free plan. This explains why we were unable to replicate it locally. Aside from finding the root of this bottleneck, the only other two options is to either subscribe to the "Performance Plan" or switch from a docker container to a machine executor by tweaking the config file. |
Do not assume tropo-layers exist in all products.
But keep in separate stack VRT files through ariaTSsetup
Originally, latter was getting overwritten
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Change to organization and structure of total troposphere (plus other components when specified). Specifically, now the weather model itself is tracked such that tropo products are extracted into respective subdirectories, e.g.: For TS analysis or stack visualization, separate VRTs reflecting this structure are deposited within the Also @mgovorcin , note that I reverted some of the logic you introduced in |
Addresses Issue #334
Implemented end-to-end support for RAiDER tropo layers in a version 1c GUNW product. This includes setting and passing the appropriate dictionary and product layer keys, as well as interpolating and intersecting the tropo layers with a DEM.
Note a couple of caveats:
extractProduct.py. Again, I understand this is not completely appropriate, so I'd like to touch bases with the team on this to set the correct values. Furthermore, the regular grid interpolator used here does not allow for descending height values, so I have to flip the input array vertically before interpolation.Below from left to right:
amplitude, troposphereWet,troposphereHydrostaticReplicate test: