ATMS 360 Atmospheric Instrumentation [main page] [assignments] [presentations] [previous notes 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015 2016 2017 2018 2019].


 

Week 15: 4 May

Class evaluation site, please do so as soon as you can.

Final Class Meeting for Presentations Saturday 9 May 2020.

Here's the link for our class.

We will continue to work on assignment 6.
Here are the soundings for the month from the Reno National Weather Service.

You can start writing the report by discussing the 'Methods/Instruments' section.
You can also choose a time for a case study and work on it independently of class, following analysis we use in class.
Here's a reminder of report contents.

Monday Class Outline:
Bring questions to class about the report and presentation.
We will continue to look at diel averages for PM from the SPS 30, and for the meteorological data.
We will look at the diel variation of wind, pressure, and the theory/model for pressure tides.

Whiteboard notes from today.

UNR and DRI weather station data.

Report due on Monday May 11th.

Presentations for case studies on Saturday at 10 am.

Related Information

Atmospheric pressure tides description.
Atmospheric pressure tides technical description.
Pressure tide whiteboard notes, and how to calculate.

 

 

Week 14: 27 April

Here's the link for our class.

We will continue to work on assignment 6.
Here are the soundings for the month from the Reno National Weather Service.

You can start writing the report by discussing the 'Methods/Instruments' section.
You can also choose a time for a case study and work on it independently of class, following analysis we use in class.
Here's a reminder of report contents.

Wednesday Class Outline:
Finish the SPS 30 diel averages for T and Tdew and add the PM data to the BAM diel graph.
Do the diel averages for the sonic data and prepare meteorological graphs showing the diel averages.
Discuss pressure tides and add the theoretical calculation of them to the pressure diel graph.

Whiteboard notes.

Bring questions to class.

Monday Class Outline:
We will continue to look at diel averages for PM from the SPS 30, and for the meteorological data.
We will compare the air temperature from the sonic, BAM, and SHT75 sensor on the SPS30, and
look at pressure and pressure tides.

We discussed the homework assignment and presentation, and scheuduled the final for 10 am on Saturday.

Related Information

Valley fever from dust storms now and in the future.

Aerosol devastation on species following massive meteor impacts.

Fireworks related aerosol pollution in India and estimated health impacts.

Atmospheric pressure tides description.
Atmospheric pressure tides technical description.
Pressure tide whiteboard notes, and how to calculate.
UNR Weather Station Data February 2020.

Santiago Chile anomalous air pollution events. ACP site link.

Mexico City aerosol 2009 paper.
Mexico City and Queretaro 2019 paper.
Per capita air pollution paper.
Reno winter time air pollution paper.

Aerosol light absorption and scattering measured with photoacoustic instruments from meteorological aircraft.

UNR weather station data for Feb 7-9 for the Feb 8 case study:
Solar Radiation.
Wind Speed
Wind Direction
Air Temperature
Pressure
Downwelling infrared radiation.

Our sunphotometer analysis website (air mass and Rayleigh optical depth calculator based on Perl language, here's the source code).
Sun photometer theory.

 

 

Week 13: 20 April

Here's the link for our class.

We will continue to work on assignment 6.
Here are the soundings for the month from the Reno National Weather Service.

You can start writing the report by discussing the 'Methods/Instruments' section.
You can also choose a time for a case study and work on it independently of class, following analysis we use in class.
Here's a reminder of report contents.

Wednesday Class Outline:
We will make the PM2.5 and wind direction bubble graph. This will help us understand the air pollution event on the 8th of February.
Then we will perform the diel average of the various data for the entire month of February, to highlight the daily/nightly variation of meteorology and air pollution.

Results:
Here's the PM2.5 bubble graph that we made, so you can compare with yours, and can use it if needed.

Monday Class Outline:
We will look at 'bubble' graphs for the 8th of February case study, where time is the x axis, wind direction the y axis, and symbol diameter is wind speed or PM2.5.
This helps us understand the development of the air pollution event.

Results:
Here's the windspeed bubble graph that we made, so you can compare with yours, and can use it if needed.


Related Information

Atmospheric pressure tides description.
Atmospheric pressure tides technical description.
Pressure tide whiteboard notes, and how to calculate.
UNR Weather Station Data February 2020.

Mexico City aerosol 2009 paper.
Mexico City and Queretaro 2019 paper.
Per capita air pollution paper.
Reno winter time air pollution paper.

UNR weather station data for Feb 7-9 for the Feb 8 case study:
Solar Radiation.
Wind Speed
Wind Direction
Air Temperature
Pressure
Downwelling infrared radiation.

Our sunphotometer analysis website (air mass and Rayleigh optical depth calculator based on Perl language, here's the source code).
Sun photometer theory.

 

 

Week 12: 13 April

Here's the link for our class.

We will continue to work on assignment 6.
Here are the soundings for the month from the Reno National Weather Service.

You can start writing the report by discussing the 'Methods/Instruments' section.
You can also choose a time for a case study and work on it independently of class, following analysis we use in class.
Here's a reminder of report contents.

Monday Class Outline:
Continue time series analysis of the PM2.5, PM10 and meteorology for Feb 2020.

We worked on a scatter plot of horizontal wind speed and PM2.5 to see if wind speed alone can predict PM2.5.
Then we looked at other factors that affect PM2.5 concentration.
Here are the whiteboard notes.

Wednesday Class Outline:
We talked about HYSPLIT and did trajectory analysis for the Feb 8, 2020 case study at 18:00 LST.
Here are trajectories as a gif file, and from GoogleEarth.

Here are the whiteboard notes.


Related Information

Mexico City aerosol 2009 paper.
Mexico City and Queretaro 2019 paper.
Per capita air pollution paper.
Reno winter time air pollution paper.

Hysplit air trajectory model.
Applications of air trajectory analysis review article.
Dynamics of cold fronts.

UNR weather station data for Feb 7-9 for the Feb 8 case study:
Solar Radiation.
Wind Speed
Wind Direction
Air Temperature
Pressure
Downwelling infrared radiation.


Week 11: 6 April

Here's the link for our class.

We will continue to work on assignment 6.
Here are the soundings for the month from the Reno National Weather Service.

You can start writing the report by discussing the 'Methods/Instruments' section.
Here's a reminder of report contents.

Monday Class Outline:
Read in the BAM1020 data and remove any faulty data.
Begin time series analysis of the PM2.5, PM10 and meteorology for Feb 2020.
Notes from today's class.
Talked about PMCoarse=PM10-PM2.5.
Prepared a time series graph of SPS30 PM2.5 and PMcoarse for February 2020.
Did a similiar time series for the case study on 8 February 2020.

Note: Subscripts and superscripts on axes on the Mac version of Excel can be obtained by selecting the text, right click, and font menu.
Choose superscript or subscript.

Wednesday Class Outline:
1. Make sure everyone is caught up.
2. Prepare a time series graph for the BAM data and compare with the SPS30 PM2.5 and PMcoarse data.
Air pollution and COVID-19 mortality.
Air pollution and meteorology in Russia: similar to our case study.

Notes from Wednesday's class.

Related Information

Airborne virus behaviour.
Sampling virus.
Corona virus biology.

Articles describing aerosol and health.
Dissertation (see Figure 6).
Journal article (see Figure 2).

Urban Heat Island Textbook

UNR Songs

 

 

 

 

Week 10: 30 March

Here's the link for our class.

We will continue to work on assignment 6.

You can start writing the report by discussing the 'Methods/Instruments' section.
Here's a reminder of report contents.

Monday Class Outline:
Discuss the SPS30 aerosol particle detector.
Read in the SPS 30 aerosol particle data to Excel.
Time align the sonic data and the SPS30 data to be sure there are no missing data.
Remove any NaN data from the Sonic (and the corresponding columns in the SPS30.)
When time aligned, both the sonic and SPS30 data have the same number of rows, and the same time column for each row.

Monday Class Accomplishments:
We read in the SPS30 data to Excel, and time aligned the data by using the time and date fields on the SPS30 and Sonic data.

Wednesday's Class Outline:
Remove any NaN data from the Sonic (and the corresponding columns in the SPS30.)
Highlight the columns we will be using in the Sonic data.
Highlight the columns we will be using in the SPS30 data, and remove the other columns. Calculate PM Coarse for the SPS30 data. PM Coarse = PM10 - PM2.5.
We will discuss the BAM instruments. In preparation, look at the isotope carbon 14 in the atmosphere. It will become obvious why this is needed.
Then we will read in the BAM data. We will make a quick graph of the BAM data and remove any corrupt data (for the BAM, this is '985' data).
Then we will make a time series of PM2.5 from the SPS30 data to get a sense of the month of air pollution. We will add the BAM PM2.5 time series to this data set.

Notes from Wednesday class.

Related Information

Airborne virus behaviour.
Sampling virus.
Cyclone model.
Light scattering by windblown dust.

Isotope carbon 14 in the atmosphere.
Beta decay.

 

 

 

 

Week 9: 23 March

WE WILL USE VIDEO CONFERENCING FOR CLASS.
BE SURE TO USE THE 'SSO' LOGIN WITH THE APP, AS SHOWN HERE.

Here's the specific link for our class.
You can use your browser or download and use the app, (or both).

We will work on assignment 6 next.

Monday Class Outline:
Discuss the homework assignment.
Presentation on the sonic anemometer.
Read in the sonic anemometer data to Excel (we will add the other data to this spreadsheet too.)
Discussed aerosol sources, types, transport, and optical properties.
Discussed an overview of in situ instruments and ground based passive remote sensing instruments.


Related Information

Airborne virus behaviour.

Sampling virus.

Cyclone model.

Light scattering by windblown dust.

 

Week 8: 9 March

Continue working on assignment 5, detection of light using LEDs and photodiodes, and introduction to op Amps as transimpedance amplifiers.

Related Information

Discussion of operational amplifiers.

BPW34 photodiode data sheet.

GEER: Test facility for instruments that need to sample in extreme environments like the Venusian atmosphere.

European Aerosol Research Lidar Network.

 

 

 

Week 7: 2 March

Work on parts 6 of assignment 4, digital infrared sensor.

Begin working on assignment 5, detection of light using LEDs and photodiodes, and introduction to op Amps as transimpedance amplifiers.

Wednesday's class

 

Related Information

BPW34 photodiode data sheet.

GEER: Test facility for instruments that need to sample in extreme environments like the Venusian atmosphere.

European Aerosol Research Lidar Network.

 

 

 

 

Week 6: 24 February

Work on parts 5 and 6 of assignment 4, pressure sensor and digital infrared sensor.
Discuss science writing, uncertainty, variables in Word, titles and abstracts.

Related Information

Electronic version of the projects manual we use in class.

BPW34 photodiode data sheet.

Expresspcb software for drawing circuit diagrams.
Use the Classic Software link.
Remove the Expresspcb folder in the documents directory and replace it with this one to get the custom components like Teensy.
Add the Arduino custom component to Express Schematic by unzipping this file and placing the contents in the custom components library.
Add the analog pressure sensor custom component to Express Schematic by unzipping this file and placing the contents in the custom components library.
The Teensy pinout diagram is here.

Seminar/Webinar on Tuesday at 2:30-3:30 pm LST

National Center for Atmospheric Science Seminar/Webinar
http://ucarconnect.ucar.edu/live

Turbulence in complex terrain: insights from the Perdigão field campaign

by Professor Julie Lundquist
Department of Atmospheric & Oceanic Sciences University of Colorado, Boulder


Tuesday, February 25, 2020 2:30 PM - 3:30 PM Reno Time

Link to seminar announcement.

 

 

 

 

 

Week 5: 17 February

Work on parts 3 and 4 of assignment 4 (thermistor and TMP36 temperature sensors)
Wednesday we will go through use of the Expresspcb software to make circuit schematics.

Discuss science writing, uncertainty, variables in Word, titles and abstracts.

 

Related Information

Electronic version of the projects manual we use in class.

Expresspcb software for drawing circuit diagrams.
Use the Classic Software link.
Remove the Expresspcb folder in the documents directory and replace it with this one to get the custom components like Teensy.
Add the Arduino custom component to Express Schematic by unzipping this file and placing the contents in the custom components library.
Add the analog pressure sensor custom component to Express Schematic by unzipping this file and placing the contents in the custom components library.
The Teensy pinout diagram is here.

 

 

 

 

Week 4: 10 February

We will work on parts 3 and 4 of homework 4.

Presentations on these sensors
TMP36  
Thermistor 

New Schedule we will continue using:
Monday: 9am-9:50 am
Wednesday: 8am-9:50 am

Related Information

Electronic version of the projects manual we use in class

Expresspcb software for drawing circuit diagrams.
Use the Classic Software link.
Remove the Expresspcb folder in the documents directory and replace it with this one to get the custom components like Teensy.
The Teensy pinout diagram is here.

 

 

Week 3: 3 February

Here's the link to the Endnote cloud-based reference database and management program.
Do steps 1 and 2
.

Monday: Worked on finishing the response time modeling.

Wednesday: Discussed report writing, using Endnote Online for reference management, figure preparation, equations, and report structure.

Friday of last week: Here's the spreadsheet we worked on for using the solver to obtain the photoresistor response time.
We will use it as an example of how to prepare report/publication format graphs.

We will finish part 2 of homework 4, and begin part 3.

New Schedule to try out:
Monday: 9am-9:50 am
Wednesday: 8am-9:50 am

Related Information

UNR weather station graphs of the last 7 days

Electronic version of the projects manual we use in class.

Can we beat the O3 smog problem? A tale of two cities.
Atmospheric Science Talk Friday February 7th at 2 pm
Location: SLH 3


Saturday February 1st. Click for larger version.

 

 

Week 2: 27 January

Friday: Here's the spreadsheet we worked on for using the solver to obtain the photoresistor response time.

Monday-Friday: Worked on Circuit 6 photoresistors as an introduction to the meausurement of light.
Worked on part 2 of Assignment 4.
Used the oscilloscope to view the photoresistor response and the pulse width modulation signal used to drive the photodiode.
Introduced Cool Term as a way to stream data from the Arduino to the computer.

Monday's Notes


Read assignment 5 and choose an instrument for presenting for this assignment.

 

Related information.

Kirchoff's circuit rules.

Summer research internship for undergrads at the Weather Center, Univ of Oklahoma, Norman Oklahoma.

NASA summer internship opportunity!

Sky at 1:30 pm local time on 24 Jan 2020.

 

 

 

Week 1: 20 January

Friday Class:

Voltmeter discussion, and use of the resistance measurement to understand the connectivity in breadboards. Did circuit 1 to obtain the 'refresh rate' needed for humans to not see flicker using a driven LED and the Viros Kit. Used the oscilloscope to view waveforms from the Arduiono.

 

Wednesday Class:

Introductions and orientation.
Places to learn about what is going on in this class:
Daily Notes (here).
Calendar.
Assignments.
Assignment 1-5 have been posted. Review all assignments.
Syllabus.
Webcampus.

Meteorological data to ponder (thanks to Chris for sharing).

Example of Small Business Innovation Research Request for Proposals with Meteorological Components.

Keep a lab notebook to record what you do and help in lab report writing.
a. Make a table of contents at the back.
b. Number the pages so you can add entries to the table of content.
Discussion of lab notebooking from CU.

Temperature and Wetbulb Temperature Measurement and Quantities Derived From Them

It's the dry season! And wet season! How can that be?
Relative humidity calculator
.
Dewpoint temperature calculator.
Lifting condensation level calculator.
Air temperature in room =
Wet bulb temperature in room =
Dew point temperature in room =
Calculated relative humidity =
Water vapor to air mixing ratio =
Lifting condensation level pressure =
Lifting condensation level temperature =
Surface pressure =
Lifting condensation level height =

Skew T log P graph as a gif file, and in a presentation.

 

Definition of the lines on the skew T to help with understanding how to use it. Click image for larger version.

Analog to digital conversion with the Arduino.

We will work with the Arduino analog to digital conversion. Here are some notes.

 

Related information.

Kirchoff's circuit rules.

Summer research internship for undergrads at the Weather Center, Univ of Oklahoma, Norman Oklahoma.

NASA summer internship opportunity!

Pressure measurements of wind speed.
Pitot tube description.

Atmospheric Instruments used at the DOE ARM meteorological/climate studies sites.

Meaurement uncertainty and local backup.

[How to write lab report]

Example lab report

Another example lab report

ALL WILL WORK TOGETHER FOR A COMMON PURPOSE: To study the atmosphere from many perspectives ⚡ ⛅ ❄ 🌈 🌪