Weatherometer instantly shows changing weather conditions. It uses small sensors to monitor wind and temperature every second and lights up a strip of 160 LEDs. While you can’t always see and feel temperature and winds changing – with Weatherometer you continuously see weather’s tiny changes.
I created Weatherometer to:
- Experiment with small sensors
- Learn how to program LED ribbons
- Find another way to display weather data using colored lights
In addition, a colleague recently talked about re-envisioning city infrastructure as a platform for building smart, connected, informed cities. So what about “hacking a light pole” to turn it into a self contained weather reporting station? This is the start; I’m working on the next version that’s smaller, with fewer wires.
- Arduino Uno – to control the LEDs, temperature, and winds sensors
- 5 meters of digitally addressable RGB LED ribbon with 160 LEDs (Adafruit)
- Temperature and humidity sensor (RHT sensor)
- Wind sensor: a thermal “hot-wire” anemometer (senor from Modern Devices)
- 5V 10A power supply (link)
- Video of the components (link)
What do you think? Want one? Comment below……
Each spring and summer, hundreds of storm chasers, thrill-seekers, vacationers, and scientists search for nature’s wrath. CharserTracer is a visual animation piece showing chasers’ movements as they traverse the midwest seeking twisters. While over-hyped chaser TV shows like Storm Chasers show a heavily edited micro-view of storm chasing, I wanted to create an eye-in-the-sky view of how chasers chase.
Watch the swarming, dispersing, and migrating patterns of storm chasers in these animations:
2 Days in June (101 sec – 720p, image)
30 Days in May (203 sec – 720p, image)
Monthly Traces (49 sec – 720p, image)
What insights into storm chasing can you glean from these animations? Post feedback and suggestions.
I created ChaserTracer with data from Spotter Network, who shared 7 months of 1-second GPS data from 100′s of chasers. (Much thanks to Spotter Network.) Storm damage reports from tornadoes, winds, and hail were obtained from NOAA. I also created ChaserTracer to learn how to plot location data with Processing, made easier by the Unfolding library. Audio help from Kevin Snyder.
- Processing software – a great data processing and display language. Want the program? Just email me.
- Unfolding – powerful and easy-to-use mapping library
- Chaser data from Spotter Network
- Damage reports from NOAA
- Audio tracks via GarageBand
- Map backgrounds from Microsoft
How do you show a year’s worth of weather data in one, simple-to-interpret image? WeatherDots. This image, created with the WeatherDots method, shows all 8,760 hourly observations at the NWS weather site in Santa Rosa, CA during 2009.
A column shows one day’s weather conditions with color, shape, and orientation. Hourly weather readings control the shape’s appearance. Calm winds create a circle. As the wind blows circles change to ovals that are oriented by the wind direction. Color corresponds to temperature values. A green ring shows it’s raining. Decoder here: key.
© DataTechArt 2010