6
votes
Is there a reliable way to identify regions with negatively-correlated winds?
My suggestion would be to do a Principal Component Analysis (PCA) or Empirical Orthogonal Functions (EOF) analysis on the wind data. The result of the analysis would be a set of modes of variability. ...
- 14.7k
5
votes
Accepted
Correlation and causation
Convergent cross mapping (CCM) is a recently developed tool to answer the question you've asked. It's based on tools developed in nonlinear time series analysis and dynamical systems theory. It allows ...
- 422
4
votes
Correlation and causation
I can give some examples from atmospheric science:
Wind and temperature in the vertical direction: as you increase in height, the temperature decreases due to the conservation of geopotential energy. ...
- 8,307
3
votes
Correlation and causation
As an alternative to Convergent Cross Mapping (CCM), the recent Tigramite is a fast python library for causal discovery that promises to ...
... outperforms current approaches in detection power ...
- 238
2
votes
Accepted
Extent of desert area influence in local climate
The mediterranian do in a way create its own climate and is partly protected from the north saharan desert by the dominating wind direction in the area.
The dominating wind direction is from west and ...
- 1,820
1
vote
How to obtain the correlation between monthly streamflows based on physical concepts?
One suggestion on generating the monthly flows is to use a seasonal ARMA model directly (e.g. see course notes), since you are looking at ARMA model for stochastic generation anyway. That would allow ...
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