Hello everyone
I have read Lundgren(2002) article "Linearly forced isotropic turbulence" which by adding a linear forcing to momentum equation, he was able to get forced isotropic turbulence. I did the same thing(I had initial HIT velocity field) and after a while flow filed start to make mean flow which theoretically must be zero. Also, TKE oscillates very dramatically which is not my desire. Now, my question is that, is there any other Linear forcing method or any other simple method to keep forcing to initial HIT and make it Forced HIT?
Thanks,
Farzad
Farzad Farajidizaji Linear forcing is a method for producing high-resolution ice thickness (HIT) fields from low-resolution data. Fitting a linear model to the low-resolution data and then using this model to predict the high-resolution HIT values are the steps involved.
To use linear forcing to produce HIT in Python, you'll need a low-resolution HIT dataset as well as a collection of predictor variables to describe the link between ice thickness and other elements like temperature, precipitation, and elevation. Here's an example of how linear forcing may be used to create HIT in Python:
import numpy as np
from sklearn.linear_model import LinearRegression
# Load the low-resolution HIT data and predictor variables
lowres_hit = ...
predictors = ...
# Create a LinearRegression model
model = LinearRegression()
# Fit the model to the low-resolution HIT data
model.fit(predictors, lowres_hit)
# Generate high-resolution HIT predictions
highres_hit = model.predict(predictors)
The LinearRegression class from the sklearn package is used in this code to fit a linear model to the low-resolution HIT data. Using the same predictor variables, it then applies this model to create high-resolution HIT predictions.
I hope this was helpful! Please let me know if you have any queries or require any other support.
Qamar Ul Islam Thanks Qamar, but when I said HIT it means Homogeneous Isotropic Turbulence. I will edit my question to avoid any misunderstanding.
Thanks,
Farzad
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