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Add new case-studies in readme #262
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Issues with Muddy River:
Parallel run
Yellowstone River data runs fast in both serial and parallel run on the same EC2 instance |
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@JoshCu please take alook at first issue above that says WARNING message. |
@arpita0911patel |
If you want to reduce the file size but keep the date range the same, most of the size is in this raw gridded data file. It's just a local copy of the remote retrospective data, it could be re-downloaded if needed. It's kind of a temporary file, I just keep it around so forcings can be recalculated faster. And that warning is coming from here https://github.com/NOAA-OWP/cfe/blob/17b39cb2f95b648efeaef4de731aca8a39f4db5a/src/cfe.c#L220 . My guess would be that the initial conditions of the simulation have way too much groundwater, more than should be possible, so the excess gets deleted by cfe. |
@arpita0911patel Issue description is wrong. Yellowstone River near Livingston, MT - 06192500 Here is updated version.
So, we can only add Muddy River, WA to README, and Yellowstone River is the one having issues.
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Use Data Preprocess tool, to run two following case-studies and update visualization results based on that.
Yellowstone River near Livingston, MT
python -m ngiab_data_cli -i gage-06192500 --subset --start 2022-05-01 --end 2022-08-01 --forcings --realization --run
Muddy River Below Clear Creek Near Cougar, WA
python -m ngiab_data_cli -i gage-14216500 --subset --start 2020-02-09 --end 2020-02-22 --forcings --realization --run
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