Kim Martini

Kim Martini

Oct 07, 2023

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1

When you are at the ocean, you throw things into the water

Last week, I went down to San Diego to meet with a bunch of other scientists and talk about "cheap and deep technology" to explore the ocean (more info here). We pondered how we can make ocean tech more accessible while looking out over a beautiful sandy beach. And of course I took the opportunity to throw our watch into the water! I mean, look at the access of Scripps pier!

Almost sunset at the pier that goes way out into the water

Elena Beckhaus, Kayla Martin, and Melissa Carter at the Shore Station were kind enough to take me along on their daily water sampling. They have been taking a surface and bottom temperature and salinity sample every day since 1916!! And they have a hatch, a rope, and a winch.

The hatch and the rope at the end of Scripps Pier

It was super easy to attach the watch to their sampling bucket.

Watch attached to the carabiner with a ziptie for extra security.

And the data matched their thermometer when taking a surface sample within 0.1C.

Special thermometer for taking a water sample in the bucket when it comes to the surface. They do it this way to preserve the historical record.

We also got a nice little time series as they held their sampling bucket at the bottom.

Temperature and depth at the Shore Station

One thing we are learning about the temperature sensor on the watch is that it does have a slower response time. That's why you see a temperature decrease when the watch is held at the bottom. The watch has gone from warm air to cold water and the watch reflects that. But this isn't unexpected and something that we know can be accounted for in post-processing.

The other thing is that the vertical sample resolution is pretty poor right now. We need to sample faster than 3 seconds and/or also profile slower.

Once we finished to profile, I put the watch back onto my wrist, synced the data with my phone, checked out the plot, put the data on the cloud, then quickly plotted it in Python on my laptop. All wireless for a fast and easy workflow.

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  • Henry William
    Henry William
    Understanding the temperature sensor's behavior and addressing its slower response time is crucial for accurate data interpretation. Improving vertical sample resolution through faster sampling or profiling adjustments enhances data quality, ensuring a more comprehensive analysis. Leveraging wireless capabilities for seamless data transfer and analysis across devices streamlines the workflow, facilitating efficient post-processing and visualization. Additionally, individuals searching for free Mardi Gras PNG can explore online resources to find festive images.
    Feb 06, 2024

About This Project

The best sensor is the one you’re already wearing.

Smartwatches contain sensors already used by scientists to study the ocean, like a GPS, barometer, and thermometer. This project aims to measure the physical properties of the coastal ocean by turning smartwatches into smart sensors. We will create an app to measure, view and share data, then test the sensors against commercially available sensors to determine if they can be used for research and monitoring the coastal ocean.

Blast off!

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