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Other areas of missing data?

The TeloKanda Weatherballoon project aims to provide reliable atmospheric weather data for West Africa where good data does not exist. The system of using weatherballoons, cheap IoT data collection devices, LoRa, and the Telos blockchain will create better weather prediction and value across the system.

Are there other places where these gaping holes in the atmospheric weather data could also be filled using this approach?

Answers 1

On a global scale, weather data is most available where you'd expect. The coasts of the United States and China,
Western Europe, Japan, and South Korea are all understood. Satellites make it easier to algorithmically measure what the climate looks like elsewhere, but as the algorithms get more complex, it is increasingly important that they can be validated. Additionally, most weather satellites are not good at determining which level of the atmosphere they are looking at. They can only make educated guesses about low-lying fog for example.

Areas with lots of variable terrain, remote places, or portions of the ocean not sampled by ships have the fewest direct observations. We think the central and northern sections of South America are significantly under-sampled, considering the importance of the rain forest on global climate.

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