H2O

Many of the global sea temperature datasets, particularly those prior to 1970, have been collected using more precise equipment, but using varied and often inconsistent methods. This means that the data is often not directly comparable and researchers have got used to applying different approaches to normalise the data.

This normalisation is on its own inconsistent and prone to deliberate bias and manipulation where specific outcomes are saught, without that manipulation or the methods being transparently visible.

Over time these datasets become more and more skewed from their original raw form, with no easy way to identify such changes, or revert back to the original data.

Initially working with NOAA's sea temperature unit (who deploy remote sea temperature monitoring probes and gather measured data), we built a prototype blockchain for sea temperature data. Quickly, that evolved into a broader design that allowed more water data to be stored within the same records, allowing for a more meaningful global water record set to be compiled, allowing for other trusted participants to include their data (such as ship based data).

The H2O blockchain currently records both land and sea data, covering time based samples of temperature, salinity, wave height, wave direction, wind strength, wind direction.

The primary purpose of the H2O blockchain is to test the viability and workability of a global dataset, specifically for the provision of a trusted, immutable and complete data.

🔸 Any normalisation approaches can be audited by comparing that data to the original raw data from source.

🔸 Consolidation of time-based data provides additional dimentions of data that is easier to correlate.

🔸 Data is kept free and public for public researcher use.