Dev fix/integration tests #234
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April 9, 2020 21:39
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April 10, 2020 23:36
frodre
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Apr 13, 2020
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| specific_humidity=state["specific_humidity"] + tend["dQ2"] * dt, | ||
| air_temperature=state["air_temperature"] + tend["dQ1"] * dt, |
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Why the change in access method? New datatype coming out of the prediction now?
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No, it's still a dataset, I just prefer to do the [" variable"] because the syntax highlighting puts the string variable name in color and it's easier for me to see, as opposed to dataset.variable which is all the same color.
tests/end_to_end_integration/create_training_data_variable_names.yml
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| - air_temperature | ||
| - specific_humidity |
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I like the more verbose variable names!
nbren12
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Apr 13, 2020
* Feature/one step save baseline (#193) This adds several features to the one-step pipeline - big zarr. Everything is stored as one zarr file - saves physics outputs - some refactoring of the job submission. Sample output: https://gist.github.com/nbren12/84536018dafef01ba5eac0354869fb67 * save lat/lon grid variables from sfc_dt_atmos (#204) * save lat/lon grid variables from sfc_dt_atmos * Feature/use onestep zarr train data (#207) Use the big zarr from the one step workflow as input to the create training data pipeline * One-step sfc variables time alignment (#214) This makes the diagnostics variables appended to the big zarr have the appropriate step and forecast_time dimensions, just as the variables extracted by the wrapper do. * One step zarr fill values (#223) This accomplishes two things: 1) preventing true model 0s from being cast to NaNs in the one-step big zarr output, and 2) initializing big zarr arrays with NaNs via full so that if they are not filled in due to a failed timestep or other reason, it is more apparent than using empty which produces arbitrary output. * adjustments to be able to run workflows in dev branch (#218) Remove references to hard coded dims and data variables or imports from vcm.cubedsphere.constants, replace with arguments. Can provide coords and dims as args for mappable var * One steps start index (#231) Allows for starting the one-step jobs at the specified index in the timestep list to allow for testing/avoiding spinup timesteps * Dev fix/integration tests (#234) * change order of required args so output is last * fix arg for onestep input to be dir containing big zarr * update end to end integration test ymls * prognostic run adjustments * Improved fv3 logging (#225) This PR introduces several improvements to the logging capability of our prognostic run image - include upstream changes to disable output capturing in `fv3config.fv3run` - Add `capture_fv3gfs_func` function. When called this capture the raw fv3gfs outputs and re-emit it as DEBUG level logging statements that can more easily be filtered. - Refactor `runtime` to `external/runtime/runtime`. This was easy since it did not depend on any other module in fv3net. (except implicitly the code in `fv3net.regression` which is imported when loading the sklearn model with pickle). - updates fv3config to master * manually merge in the refactor from master while keeping new names from develop (#237) * lint * remove logging from testing * Dev fix/arg order (#238) * update history * fix positional args * fix function args * update history * linting Co-authored-by: Anna Kwa <annak@vulcan.com> Co-authored-by: brianhenn <brianhenn@gmail.com>
spencerkclark
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May 7, 2021
* Add final (incomplete) chunk to md5sum * Fix upload size consistency
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