Similarities over time and levels

[pierretoussing]

• [x] Create a function that computes and plots the similarities of a reference series to list of datasets (i.e. containing different levels of the u wind component) for different delays of time (1 month, 3 month, 12 months)

[pawelbielski]

@pierretoussing Does the solution work with the agreeableness measure? Could you demonstrate it? Last time we discussed that the agreeableness is what is very helpful for the interpretation of plots.

[pierretoussing]

@pawelbielski I can make it work with the agreeableness measures. But not with splitting into the 3 maps like we did it before (high values, low values, rest), because I already have 2 dimensions e.g. level and time, so splitting each map into 3 maps would require a 3 dimensional plot or it would result in something very chaotic. I will implement a prototype for the agreeableness over time and levels where we don't split into these 3 maps mentioned befored and then we can look how to improve it.

[pierretoussing]

As the current approach needs some improvement, we decided to create functions that plot the regions where the similarity measures agree. Enlarge the set of datasets to 4 (high hPa, mid-level hPa, 30 hPa (reference), low hPa) and use the following time delays: 0, 1, 3, 6, 12 months. Use specific thresholds determinated in the plots created by #20 .

• [x] Create a function that plots the regions where the similarity measures agree the values are high using the given thresholds and an agreeableness measure for different time delays and levels

• [x] Create a function that plots the regions where the similarity measures agree the values are low using the given thresholds and an agreeableness measure for different time delays and levels