BartSmulders
New member
Hi all,
I'm not sure how to clearly describe my problem, but I have tried to take the mean value of my area and plot this over all the days I modelled to get a view of the season bond variations. However, as shown in the figure below, the same trend occurs 3 times in my output, which is obviously incorrect. I think this has something to do with how the data is nudged, but I don't even know how to start figuring out if this is the issue. Does anyone know why this happens and what I can do about it?
Additional info:
The start and end dates of the figure below are 1st of April - 30th of September (recent is averaged over the years 2008 - 2017 and future 2050 - 2059)
However WRF was run 3 times. First, for the months of June, July, and August and then a restart of that data for September; I also ran it a last time for the months of April and March. Therefore, the steep drops are because 1. the data doesn't neatly continue and 2. because the "warm-up" time should have been longer.
I also see the same thing happening for different variables like water vapour mixing ratio and windspeed, although the trends are not the same as this one.
I'm not sure how to clearly describe my problem, but I have tried to take the mean value of my area and plot this over all the days I modelled to get a view of the season bond variations. However, as shown in the figure below, the same trend occurs 3 times in my output, which is obviously incorrect. I think this has something to do with how the data is nudged, but I don't even know how to start figuring out if this is the issue. Does anyone know why this happens and what I can do about it?
Additional info:
The start and end dates of the figure below are 1st of April - 30th of September (recent is averaged over the years 2008 - 2017 and future 2050 - 2059)
However WRF was run 3 times. First, for the months of June, July, and August and then a restart of that data for September; I also ran it a last time for the months of April and March. Therefore, the steep drops are because 1. the data doesn't neatly continue and 2. because the "warm-up" time should have been longer.
I also see the same thing happening for different variables like water vapour mixing ratio and windspeed, although the trends are not the same as this one.