Commit 6c8e6eac authored by saeed's avatar saeed
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parent 13480691
......@@ -27,8 +27,8 @@ Observational data comes from mora database. We only use WMO stations located on
In the comparison between the model and observation, we look at the time series of the wind component and also the scatter plots.
We also calculate the correlation coefficient between the model and observation. We only show the results of 5 stations as there is many stations.
\section{Conclusion}
In this study, we compare the wind data from AROME atmospheric regional model to the observations. This is done only for the stations located on the Baltic sea and the north sea which is very crucial for the ocean circulation model.
\section{Conclusion and future perspective}
In this study, we compare the wind data from AROME atmospheric regional model to the observational data for the wind coming from mora database. This is done only for the stations located on the Baltic sea and the north sea which is very crucial for the NEMO ocean circulation model which is run operationally in SMHI. The model data is interpolated to the observational point using the inverse distance weight interpolation method. The comparsion between the model and observational data reveals that AROME does a good job in predicting the wind on the sea. The validation period was between January 1, 2018 and April 1, 2018. It means that we need to do a comparison for other years and also other times of a year. The best possible scenario is to look at the data for at least few years. That would be a motivation for the further study.
\section{Figures}
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