Since fixing the Fjalls system we have a steady stream of data – showing the glacier moving:
This shows a movement of around 1.5m in just ten days.
Today we set up two dGPS units to measure the speed of some of Fjallsjökull glacier. We chose an area of ice which is clearly moving forward towards the lake.
The photo above shows a “quadpod” supporting the GPS units – which are an adaptation of those made by Matthew Roberts of the Icelandic met-office. The idea is to be strong enough to cope with winter and cast few shadows (which cause ice to grow). The system is currently measuring its position every 3hrs to an accuracy of about 2cm – using signals from the base station to help it.
These new dGPS units seem to be accurate to around 2cm as shown in our test. This is for a close baseline (and at the moment doesn’t use GLONASS).
We have been checking the iceberg tracker temperature as one way of telling if it is in the sea is a flatter daily variation in temperatures. Here you can see it did regularly read sub-zero at midnight then warmer an noon. Recently however it is showing mainly positive temperatures.
After spending weeks among the small islands in the centre of this map – it has moved south until reaching land again. This dramatic movement may be because the iceberg has broken up.
This is the scenic video of Lucas di Grassi driving a Formula E car on a Greenland glacier.
Together with the sustainability team of Formula E we were able to put a GPS tracker on an emerging Iceberg in order to see its movement in great detail. The box contains a tracker which sends the GPS location and temperature twice per day via satellite messages.
This is a GPS tracker we quickly built as a test of tracking icebergs – it uses Satellite (Iridium) short text messages to send its location to us every 12hrs. Inside is a large lithium battery pack. The photo below shows a water test in the sink – just in case it ends up in the sea. We used a unit from YB Tracking. More info later!
A 2015 paper by University of Washington and Google used Briks’ as an example where mass observation via Flikr could be used to create long term timelapses. See their video on youtube.
We’re investigating the texture of till using CT scans. This shows successive sections through a sample.
The first step in the analysis is to extract the shapes of the clasts (rock fragments) embedded in the sample. These show up mainly as red in the sections above. The shape below is a clast about 3 mm long.