Calculate the daily average temperature gradient

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Reference no: EM133736249

Instruction:
Please address the following questions using Python programming, as discussed in class. Each question should be solved by writing a specific function in Python. Save and submit your solutions in a single Python script file (`.py` format). Ensure each function outputs a scalar value, and provide brief comments in your code to explain the logic of your calculations.
A. Temperature Gradient Calculation
Calculate the daily average temperature gradient between the ocean depths of 100 meters and 500 meters using temperature readings collected over a period of 30 days.
B. Salinity Profile Impact
Compute the average increase in water density due to changes in salinity at a depth of 200 meters based on daily measurements over 20 days.
C. Marine Species Distribution
Estimate the probable distribution area of a marine species based on its optimal temperature range. Given temperatures at various depths and locations (100 data points), count how many locations meet the optimal temperature requirements.
D. Ocean Current Speed Analysis
Calculate the average speed of an ocean current using data from a drifter buoy. The data includes distance traveled in kilometers and time in hours over 15 days.
E. pH Variability Study
Assess the daily variability in pH levels at a specific ocean site by calculating the standard deviation of pH measurements taken twice daily over 30 days.

Reference no: EM133736249

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