Topic · 3 posts
How DataShoal gathers, checks and compares its data, and how sure we can be of what it shows.
A closer look at the DataShoal process: how buoys, gauges, sensors and weekly samples are brought onto one footing, checked to one standard, turned into repeatable indicators, and where AI models fit without adding uncertainty of their own.
A tide gauge, an offshore buoy, a river sensor, and a sampling station don't agree on format, schedule, units, or quality flags. How we bring two dozen public feeds onto common footing, so a number in the weekly read means the same thing wherever it came from.
What the bay pages show today, which monitoring stations feed them, and where the gaps still are.