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https://issues.apache.org/jira/browse/CLIMATE-263?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13755026#comment-13755026
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Cameron Goodale commented on CLIMATE-263:
-----------------------------------------
h4. Current Progress on working Code
{code}
(rcmes)chocobo2010:examples cgoodale$ python simple_model_to_model_bias.py
Loading AFRICA_KNMI-RACMO2.2b_CTL_ERAINT_MM_50km_1989-2008_tasmax.nc into an
OCW Dataset Object
KNMI_Dataset.values shape: (times, lats, lons) - (240, 201, 194)
Loading AFRICA_UC-WRF311_CTL_ERAINT_MM_50km-rg_1989-2008_tasmax.nc into an OCW
Dataset Object
WRF_Dataset.values shape: (times, lats, lons) - (240, 201, 194)
Temporally Rebinning the Datasets to an Annual Timestep
KNMI_Dataset.values shape: (20, 201, 194)
WRF_Dataset.values shape: (20, 201, 194)
The KNMI_Dataset spatial bounds (min_lat, max_lat, min_lon, max_lon) are:
(-45.759998, 42.240002, -24.639999, 60.279999)
The KNMI_Dataset spatial resolution (lat_resolution, lon_resolution) is:
(0.43999863, 0.44000053)
Spatially Regridding the KNMI_Dataset...
Final shape of the KNMI_Dataset:
(20, 88, 85)
Spatially Regridding the WRF_Dataset...
Final shape of the WRF_Dataset:
(20, 88, 85)
{code}
Turns out I did stray a bit from the original plan of NOT rebinning/regridding
the data. Nothing is printed at the moment, but the code does complete a
Bias() evaluation now. Moving forward the plan is to add a couple more print
statements to communicate what is happening in the code (remember this is just
an example so print statements should be okay), then finish off with a call
down to plotter.py for a diagram to display the Bias().
> Create local netCDF to local netCDF Evaluation Example using OCW Core API
> -------------------------------------------------------------------------
>
> Key: CLIMATE-263
> URL: https://issues.apache.org/jira/browse/CLIMATE-263
> Project: Apache Open Climate Workbench
> Issue Type: Sub-task
> Components: general
> Affects Versions: 0.2-incubating
> Environment: *nix
> Reporter: Cameron Goodale
> Assignee: Cameron Goodale
> Fix For: 0.3-incubating
>
> Original Estimate: 2h
> Time Spent: 3h
> Remaining Estimate: 0h
>
> Local File to Local File Evaluation (simplest, minimal data processing)
> The plan is to merely open the two files and convert into OCW Dataset Objects.
> Check the shape and Lat/Lon Ranges in Python (to show they don't need
> processing)
> Then jump right into computing a Bias Evaluation and plotting the results
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