Team 4 Project of the CyberTraining program at UMBC in 2018 (http://cybertraining.umbc.edu/) Title: Spatio-Temporal Climate Data Causality Analytics – An Analysis of ENSO’s Global Impacts Team members: Hua Song, Jing Tian, Jingfeng Huang Mentors: Jianwu Wang and Zhibo Zhang
There are three folders:
Causality: The codes here are written to find the causality relation between ENSO index and some climate variables The codes are written in Python
Max_Lag_Correlation: The codes here are written to calculate maximum lag correlation between ENSO index and some climate variables The codes for reading data are written in Python. The codes for plotting the results are written in NCL.
Plot_Model_Results: The codes are used to visualize our model results from sensitivity simulations. The codes are written in NCL.