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cfars_ss's Issues

update the filtering based on GE recommendation

filtered_Ref_TI = inputdata['Ref_TI'][inputdata['RSD_TI']<0.3]
filtered_RSD_TI = inputdata['RSD_TI'][inputdata['RSD_TI']<0.3]
model = get_regression(filtered_RSD_TI, filtered_Ref_TI)
RSD_TI = inputdata['RSD_TI'].copy()
RSD_TI[RSD_TI>=0.3] = np.nan
RSD_TI[RSD_TI<0.3] = model[0]*RSD_TI[RSD_TI<0.3]+model[1]

Elie raised a issue on the call that this filtering could be on met tower or sodar TI, Dale from GE should let us know on what the TI is corrected on.

GE TI correction method.

the overview is to filter out all the data above 30%TI . and then do a linear regression on the rest.

Create the basic setup to make Phase 2 tests iterative

Currently the tests are run one at a time, there is value in create a configuration file to make sure that we can run all the projects in an organization at once. This might take minimum setup and we might need to create a new script for it.

requirements installation

For anaconda installation not all base packages are installed so we need to run “python pip install -r requirements.txt”.

plot MBE vs Bin count

we want to understand if the MBE is dependent on the Bin count. this issue is to create a plot for the MBE

Data at different heights in the same data file

I wonder if we have data of different heights, say, data at 50 and 80 m, in the same csv or Excel file, how would the Configuration_template.xlsx and the master Python code handle the errors at different levels?

write_resultstofile function

The function write_resultstofile called in

CFARS_SS_Phase1_Analysis.py

cannot be used correctly.

Even by adding from DataParsingResults import write_resultstofile in

CFARS_SS_Phase1_Analysis.py

the function still does not work, because write_resultstofile takes 4 arguments in

DataParsingResults.py

instead of taking 2 arguments in the master code.

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