Personal blog
This is a part of study described in the dedicated post.
We will compare “out-of-sample” error of MSU SINP model, Wind Pulses simulator and machine learning regression model. In this post we will assess current SINP solar wind predictions.
Continue reading “MSU SINP Solar Wind Velocity Forecast”
This is a part of study described in the dedicated post.
We have per minute solar wind observations (density, temperature and velocity) recorded by EPAM instrument of Advanced Composition Explorer (ACE) spacecraft. (see this link for data files)
This data from ACE can be used for two purposes. First, we can use this particular archive of observations (e.g. 2015 year) to fit the prediction model parameters. Second, we can use very recent measurements coming from ACE as predictors for forecasting the wind velocity for near future.
Continue reading “Solar wind observations by EPAM ACE”
This is a part of study described in the dedicated post.
I am going to perform data clean up and feature extraction for Solar wind model fitting. The major predictor of the solar wind is considered to be coronal holes characteristics (e.g. see this paper)
I’ve got two CSV data sets that contain quantitative features extracted from the Sun images with computer vision algorithms.
One file is “green” (193nm) spectrum portion originated features, another one is “red” (211nm) spectrum portion originated features
Continue reading “Extracting possible solar wind predictors”
