Can you think of any reasons why this location in Panama would experience this pattern? What currents/climate factors might change like this to influence water levels annually? If you looked at a longer time increment, would there be any decadal patterns?.In this case, the seasonal fluctuation is about 30 cm (300 mm). You could even calculate the average seasonal range of sea level from your dataset because you now have the data.This suggests Panama experiences a persistent seasonal sea level change. Looking at our dataset (Figure 4.51 above), it looks like there are annual highs and lows where tides are high for about 8 months (May-December) every year, and are relatively low for 4 months (January-April).In the dataset example used here, remember, we are looking at monthly averages, so the data we downloaded is the 30-day average for each month therefore all tides in a given month are averaged to a single value.In fact you may see trends and patterns that we discussed throughout the module. You will begin to see patterns or trends in the data. At this point, it is a good idea to look at the data and see what is going on with tides.
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