update the filtering based on GE recommendation

[codenamenikky]

CFARS_SS/CFARS_SS_Phase2_Analysis.py

Lines 228 to 235 in 88fbbd2

	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.

[codenamenikky]

Below is the response from Dale

Team,

As a follow-up to my presentation this morning, Looking closely at my code, I filter BOTH RSD and Met TI for values less than 30%.

If there are any other questions, please let me know.

Dale

[codenamenikky]

@AhabAndrew , thanks for the this correction method. I just opened this issue as a tracking item.