Assignment 4: Title:Meteorology and Air Quality of February 2020 at UNR. Learn about typical and anomalous air quality and meteorology in Reno/UNR for February 2020.
Meteorology and Air Quality of February 2020 at UNR
Learn about typical and anomalous air quality and meteorology in Reno/UNR for February 2020.
Work with raw data to get a feel for time alignment issues, and also use of Excel data base functions for making Diel averages (24 hour averages).
Firstly, Learn how to do a case study for diagnosing and understanding specific events.
Secondly, Learn about and work with data from the sonic anemometer, low cost air quality sensor SPS30, and the BAM1020 instrument used for PM measurements in cities to regulate air quality.
Thirdly, Learn how to use HYSPLIT back trajectory analysis and Google Earth to determine likely source regions for windblown dust.
Fourthly, Learn about remote sensing with the Cimel and MFRSR sunphotometer and spectral irradiance for obtaining column aerosol optical depth (AOD), with an eye towards satellite remote sensing of AOD.
Further, Learn how to use Python to make wind roses and air pollution roses.
This assignment is open ended in that we will work on it as a group, online and outside of class, also will consider as many learning experiences as possible with the time remaining this semester.
We routinely measure local and column properties of the atmosphere from the roof of the Physics building, with standard and , also, custom instruments of our own manufacture.
Reno also has the National Weather Service and many weather stations at various elevations.
Our unique location results in brilliantly clear days, inversions with air quality issues, also, days with windblown dust arriving from nearby dry lake beds.
Please be sure to reach out to me during online class or afterwards if you are having issues.
We will make sure everyone is caught up and complete in working through this assignment.
Feel free to share your skills and expertise with the everyone.
Firstly, a report with references, as we have been doing all semester. See below for report contents.
Secondly, a presentation containing your specific case study. See below for details.
Required and Recommended Software:
1. Zoom online class interface. Here’s the link for our class.
2. Excel and Word. Available for students and faculty here. Sign in with your UNR netID and download Office to your computer. We will import data using the text wizard: Excel:File:Options, then check this box.
3. Google Earth available here.
4. Anaconda distribution of Python available here. We will likely use ‘Spider’ to edit and run Python programs.
5. You can use Matlab or any other program if you want, for data and graphical analysis.