Going forward, keeping this data as clear as possible is essential to keep people informed; the more we understand, the better prepared we can be. As explained in the video above, major tech companies like Nvidia, Huawei, and Google DeepMind have successfully predicted the weather accurately.
Similarly, in 2023, Google Research partnered with American Airlines to use AI to create contrail prediction maps to test whether pilots could avoid creating contrails and reduce their impact on the environment.
Can technology combat climate change?
Technology companies can leverage their computing knowledge to help national agencies accurately predict and forecast natural disasters. In fact, the advancements in edge computing made by these companies will also help process data from these technologies, allowing researchers and scientists to gain deeper insights from their analysis.
“AI meteorology enables new standards of accuracy, detail and performance,” commented Alex Levy, co-founder and CEO of Atmo.
Digital transformation is likely to continue in this field: According to IEEE, researchers are also investigating whether digital twins can be used to forecast hurricanes by combining data from ground sensors and aerial photography to create and update digital models of geographic areas in real time.
This level of technology can not only monitor current weather conditions, but also run simulations based on past storms to gather more information to use in future predictions.
Strategies like this may become even more necessary as the effects of climate change continue to grow and weather becomes more volatile. As storms change rapidly and become more extreme, the conditions that past forecast models were based on will no longer apply. This will make forecasting more difficult and will force organizations to focus on data analytics in hopes of improving future predictions.
As these areas reshape, it will be interesting to see how technology plays a role.
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