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Using prevalent technologies and 'Internet of Things' data for atmospheric science

20:00 EDT 12 Jun 2019 | AAAS

(Institute of Atmospheric Physics, Chinese Academy of Sciences) The use of prevalent technologies and crowdsourced data may benefit weather forecasting and atmospheric research. The data from these new 'sensors' could be assimilated into high-resolution numerical prediction models, and thus may lead to improvements in forecasting capabilities. The contribution to public health and safety as a result could potentially be of significant value.

Original Article: Using prevalent technologies and 'Internet of Things' data for atmospheric science

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