The residuals are much more constrained, and it does not appear to be biased with distance.Įric gave me some code to calculate the bias (mean) and inter-event and intra-event residuals (standard deviations) using mixed effects regression. The Liu model, even after adding a variety of new events, still has a very strong correlation with the observed Arias intensity values. The Foulser-Piggott model shows similar trends, except its overpredictions are a little less severe. What's interesting is that it also appears to underpredict slightly at really close distances. Arias intensity is usually lower at greater distances from the fault, so this is consistent with the figures from the previous post where it appeared the model did not work well when considering stations of distances over about 150 km. At lower observed Arias intensities, the Travasarou model overpredicts Arias intensity. If the predicted values exactly matched the observed, they would fall along this line. The red line in each figure shows where the 1:1 correlation is. These next three figures are the observed values of Arias intensity vs the predicted values for each model. Once that was done, I re-ran all the code for the three models and re-made the plots. By Thursday, I was able to get all of the rake angles, Vs30 values, and fault rupture distances added to my data frame. We were still having trouble reading it and already had a couple events with similar magnitudes to it. I made the judgement call to just scrap that event. On Wednesday, I also finally got all of the events added except for the Loma Prieta event. Luckily, I had another environment I was using which already had Spyder installed. We're not sure if it's a Spyder thing or if it's just an issue at the USGS.
#SPYDER 3 PRO SANITY CHECKLIST INSTALL#
She tried to install Spyder into a new environment on her computer and on another intern's computer, but they were also having the same issues. Heather tried to fix it for a couple hours but could never figure out what was wrong. We could not open any existing projects saved into it or save any new ones. (Spyder is a Python environment) We had to recreate the main virtual environment I had been using, but when we tried to install Spyder into it, it no longer worked. We also ran into problems with Spyder on Wednesday. I'm telling you, COSMOS is a nightmare to work with. This week, I spent most of my time still trying to read all of the data for the events.
I guess we'll have to wait a few years to find out!
This place has begun to feel like home, and I think I would really love working with the USGS once I finish grad school. At church today, one of my leaders said to me, "I have an inkling that you will be back here permanently." I'll admit, the thought has crossed my mind a few times lately. I have grown to love all of the people that I have met this summer, and I have really enjoyed my time with the USGS (maybe I'll end up back here one day). I am reaching the end of my internship, and it is such a bittersweet feeling.