# ESE315 Assignment 1

### From atmoschem

**All assignments should be delivered to the TA in .pdf or .html formats using the 'Download as' function of Jupyter.**

**Remember that for all plots that you make: always clearly label your axes and variables, and always show the units.**

- The International Standard Atmosphere (alternative link 1, alternative link 2) is a static atmospheric model of how the pressure, temperature, density, and viscosity of the Earth's atmosphere change over a wide range of altitudes or elevations. Use python to plot the vertical profile of temperature, pressure, and density as a function of geometric altitude above the mean sea level (MSL).
- Look at your plot from the previous question: Why does the Earth's atmosphere have distinct layers with different vertical temperature gradients? Do you see this temperature profile on Venus and Mars? Why?
- Briefly describe the three major stages of the evolution of the Earth's atmosphere. What are the major atmospheric components during each of those three stages?

**For Question 4, choose one of the following two questions to work on:**

4(a). Go to Shenzhen Meteorological Data System. Look up '节假日气候统计值' or '二十四节气气候统计值' at any one site of your choosing. Plot the time series of one meteorological variable at that site between 1981 to 2019. Go online and learn how to use a python statistical package to calculate a ordinary linear regression line for that time series. Add the linear regression line to your plot using a different color. Add a legend to your plot.

4(b). Go to the CLIMATE TIME SERIES Browser. Look up the long-term surface air temperature record at any one site of your choosing. Plot the time series of temperature at that site for the duration of the record. Go online and learn how to use a python statistical package to calculate a ordinary linear regression line for that time series. Add the linear regression line to your plot using a different color. Add a legend to your plot.

- This page was last modified on 10 September 2021, at 16:54.
- This page has been accessed 5,094 times.