Artificial Intelligence has been making waves in the past decade and the opportunities it unleashes are endless. AI is able to find, analyze, and understand millions of different articles, journals, and scientific reports. Because of this feature, AI would be able to analyze the data concerning climate change, the possible solutions or, at least, mitigation and it can suggest the best possible plans to implement. While AI has many stigmas and morality issues that come with its existence, it is obvious that it would be very beneficial to find a quick solution, which is especially important now. We do not have much time as people to still be waffling over the existence of climate change. We need to start thinking and acting on solutions that will help our planet in the long run, rather than just looking for short-term solutions.
Weather research and three types of climate change are the fields that are most affected by the introduction of AI. By using machine learning algorithms, the AI is able to analyze and sort data from extreme storms to identify early inklings of tropical storms and cyclones. By reviewing a wide set of data about past storms and their formations, the program is able to predict where future storms will form and can indicate which can help people prepare for them better. The video below also shows a program that has the ability to predict when a flash flood would occur:
The AI can also prepare many different modules and scenarios for scientists in a short amount of time, so they do not need to waste time seeing if something would actually work and can spend their time creating something they know will work. The program would also have a smaller margin of error, so the calculations and predictions would be increasingly more accurate. Scientists can also use AI to produce a more accurate prediction of how long a storm will last and if it might produce a more dangerous type of precipitation, like hail. One downside to using AI to predict weather and climate phenomena is that the computer does not show the process it used to reach its conclusion, so a scientist is left to guess at how the program arrives at their prediction.
Another innovation being utilized in climate change research is cube satellites. Unlike the regular satellites we are used to seeing with cylindrical bases and large wing-like structures hanging out the side, cube satellites are much more compact. However, they are much more fragile and they have a much shorter shelf life once they are launched into space. This can also be beneficial. Because there is a need to change out the satellite more often, the software will be updated more often and the data can be updated. Additionally, we are able to change the course and objective of the satellite without the hindrance of delay. The satellite provide a live monitoring of climate change and its effects and can help gather more data to be studied.
By linking these cube satellites up with artificial intelligence, we would be able to gather present data and procure real-time solutions from the program. When we give the AI more data, it will be able to utilize machine learning to give a more educated and confident prediction. Additionally, we can give the AI data about the methods we have already tried that have failed and methods that have worked. As we give it more data, it is able to work around these failed methods and detect patterns in order to create a more successful method. By integrating Artificial Intelligence into climate change, humans will be able to slow the process and potentially reverse the effects of climate change in a more timely manner.