Monday, April 30, 2018

Meteorological Report for NearSys Station, April 2018

After reading what some of my friends and acquaintances are measuring, I decided to expand the scope of my fault measurements. Here's what I have to report for April.

April was a dry month with no snow.

No overall pattern to the air pressure.

April is gradually getting drier.

After a discussion with Mark, N9XTN, I decided to measure the temperature of my lawn. The north side has more shade that the south side.

April is gradually getting warmer.

Sunday, April 29, 2018

Cloud Height for NearSys Station, 29 April 2018

Rain clouds have moved in, NearSys Station is experiencing cloudy skies.

The thermal imager recorded that the ground temperature was 40 degrees and the clouds has a temperature between 6 to 12 degrees.

The weather station reports the air temperature is 61 degrees and the dew point is 42 degrees.

Assuming a dry adiabatic lapse rate of 5.4 degrees per 1,000 feet, the altitude to the cloud base is either 5,200 feet or 4,300 feet.

With a difference of 6 degrees in temperature and assuming a wet adiabatic lapse of 3 degrees per 1,000 feet, the clouds could be 2,000 feet tall.

A thermal infrared image of the clouds over NearSys Station

A visible light image of the clouds over NearSys Station

UAVSonde Data for NearSys Station, 29 April 2018

The UAVSonde recorded data at 8:00 AM MST.

The ground temperature was 54.9 degrees and the relative humidity 45.9%

At 400 feet AGL, temperature was 48.5 degrees and the relative humidity 51.9%

The visibility is right around 50 miles based in the images recorded.

Looking east

Looking north

Looking south

Looking west

24-hour Photometer at NearSys Station, 28 April 2018

Both photometers collected data all day yesterday. Below are the charts created from the data. They look similar, don't they?



Saturday, April 28, 2018

Some Science While Mowing the Lawn

I have about 20,000 square feet if lawn to mow and I need to mow it about twice a month during the warm part of the year. So while mowing today, I thought I would do a little science. I used several cellphone apps to get my data and I can see several more opportunities with additional apps.

First, I used my sound meter app to find out the background noise in the front yard is around 43 dB. With the lawn mower running, the noise is 80 dB at my ears' location. An increase of 37 dB appears to be over 5,000 louder in terms of power. I need to double check my results and make sure u am not confusing my units. It appears audio us measured in terms of power amplification, so the online calculator I used may have been the wrong one for my situation.

Next, I used my FFT app to look at the sound of a lawn mower. Below are the results.
Without the lawn mower running, this is the noise present in my front yard. It's scaled way out because the lawn mower is so loud. There's more data visible, when I zoomed into the screen. The one peak is due to The cell phone vibrating when it recorded a screen capture.


With the lawn mower running, this is the FFT app display. The scale is the same as the previous image. 

 Finally, I weighed the bags of grass clippings and counted the number of bags needed to mow the lawn.

Each bag of grass clippings holds 11 pounds of clippings. It took 15 bags of clippings to mow the lawn. That's a total of 165 pounds of grass clippings that I will use to mulch my garden rather than dump into a landfill. Since I need to mow twice a month for seven months, I should be preventing 2,300 pounds from going to the landfill.

Grass, like all plants uses photosynthesis to convert carbon dioxide and water into carbohydrates. The carbohydrates become food and cellulose (among other things). The chemical equation looks as follows,

6CO2 + 6H2O -> C6H12O6 + 6O2.

Converting pounds to grams and grams into moles, I find that 165 pounds of grass required 242 pounds of carbon dioxide and 99 pounds of water. It also generated 176 pounds of oxygen.

Now there are several problems with this calculation, the major being that the grass wasn't dried out. So my 165 pounds actually consists of cellulose and water (and trace other materials). But it's good enough for a first stab at the problem.

What's next? Maybe letting the grass dry out before weighing it. Then calculating the amount solar energy used by the grass to generate thus amount of cellulose. Then, I need to find the solar insolation for the Treasure Valley. With that, I should be able to get an idea of the efficiency of my lawn.

Hey, rather than look up the isolation, I could try measuring it by how fast materials warm up in the sun.

Cloud Altitude at NearSys Station, 28 April 2018

The sky over NearSys Station became more overcast as the day progressed. By 7:00 PM MDT, the stratonimbus clouds were threatening rain.

The thermal imager indicated a ground temperature of 35 degrees and a cloud temperature of 7 degrees. The weather station indicated that the air temperature was 58 degrees and the dew point was 36 degrees. This is a difference of 28 degrees and 22 degrees respectively.

Assuming a dry adiabatic lapse rate of 5.4 degrees per 1,000 feet, this indicates the cloud altitude is 5,200 feet and 4,100 feet. That's an average of 4,600 feet AGL.

Thursday, April 26, 2018

24-hour Photometer for NearSys Station

I ran both the 7-channel LED photometer and a UV-B photometer all day April 25th. This time, there was no unexpected blue spike at around sunrise.

It can be seen there was an event at 12:00 and 15:30 that briefly dimmed the solar flux. It can also be seen that I need to align the charts of the two datasets a little more carefully.

Results from the LED Photometer

Results from the AdaFruit UV-B Photometer