3.Download the sea level data from
http://climate.nasa.gov/vital-signs/sea-level(Links to an external site.).Create a program that does the following:
a.Tell the user that the program uses data from NASA to predict sea level from the years 2020 to 2050.
b.Store the sea level data in an array. You only need to use one data point for each year from 1993 to the present year. Use the last column for each row (the Global Mean Sea Level GMSL with annual and semi-annual signal removed).
c.Find the average annual change in sea level over all the years specified in the data. (Hint - use a loop to store the annual change in an array over the years, and then use a loop to compute the average annual change).
d.Assume a linear increase and compute the predicted sea level rise for the years 2020, 2025, 2030, 2035, 2040, 2045, and 2050. Store these results in their own array. (Hint - just use the average you computed in part c as the annual change for the future years).
e.Display the results for the user and be sure to reference the data set as specified in the data file so the user knows where the data came from.
Sample output:
The predicted Global Mean Sea Level is
2020 64.32
2025 68.98
2030 73.51
2035 78.12
2040 83.43
2045 88.12
2050 93.04
These predictions were made using data provided by XXXXXXXXXX
Deliverables in a single Word document:
1. The code that solves the problem (no design tool needed). (80 points)
2. Screenshot of the output (10 points)
3. Reflection of what you learned about using arrays as well as what you learned about sea level rise. (10 points).