Technology has advanced so much since 'Finding Nemo,'
Pixar had to rebuild the main characters from scratch.
But the company was also able to create characters and effects that weren't possible before.
(see CNET article)
Sometimes science isn’t sexy.
We can see the effects of climate change in our oceans. To do this, we measure changes in temperature in our oceans over decadal time scales. Measuring the temperature of ocean water is not a new thing, it has been done for hundreds of years, and over time, measurement techniques have changed. In modern times, the XBT has been used extensively to measure ocean temperature and is only one of many methods. XBT data is special because it comprises ~50% of historical data between 1967 and 2001, a huge resource for oceanographers and for estimates of decadal changes in ocean temperature.
Small biases in the historical XBT data have been identified and various bias corrections have been developed which greatly improve the XBT data for climate change estimates. This work focusses on a purely physical method to estimate a fall rate for the XBT, which is unusual in the field of bias correction estimates. By looking at the physical shape of the XBT probe the fall rate is modelled. Other bias correction studies have looked at comparisons between XBTs and other instruments.
When we apply fall rate bias corrections, we improve the historical XBT dataset (a massive resource), reduce the bias errors and give estimates of ocean warming that are more comparable to the results we see with other instrumentation. In turn, the XBT data becomes very useful as it fills the gaps in time where we have very few other instruments collecting ocean temperature data. The XBT data also becomes useful for global ocean models – the data is included in the models and it improves their accuracy. Improving the accuracy of our ocean models leads to better forward estimates of future climate change impacts.