Thank you for this great piece of work, I took some inspiration from your R code to do some analysis in Python using the MERRA data.
One thing that is a bit unclear to me: looking at your function “extrapolate_power_law” in the “VWF.EXTRAPOLATE.R” module - and using MERRA data for Denmark, for example, I find quite a few (about 10%) occurrences where the Hellmann’s exponent is way bigger than the “accepted” values in the literature (usually its maximum value is around 0.6), while I can easily find occurrences where it reaches values of 2.3, particularly in low wind speed conditions.
Do you have a suggestion on how to handle this “inconsistency” - beside saying “forget about it and use the value you get from the linear least squares”?
Thank you in advance for your suggestions.
Andrea.
Thank you for this great piece of work, I took some inspiration from your R code to do some analysis in Python using the MERRA data.
One thing that is a bit unclear to me: looking at your function “extrapolate_power_law” in the “VWF.EXTRAPOLATE.R” module - and using MERRA data for Denmark, for example, I find quite a few (about 10%) occurrences where the Hellmann’s exponent is way bigger than the “accepted” values in the literature (usually its maximum value is around 0.6), while I can easily find occurrences where it reaches values of 2.3, particularly in low wind speed conditions.
Do you have a suggestion on how to handle this “inconsistency” - beside saying “forget about it and use the value you get from the linear least squares”?
Thank you in advance for your suggestions.
Andrea.