AI in Climate Change
<p><span>Climate change is an urgent issue that must be addressed by individuals, communities, governments, and organizations around the world.<span> </span>Its immediate effects include extreme weather events and unpredictable rainfall, impacting various sectors. Aligned with UN Sustainable Development Goals, addressing climate change is paramount. Despite deteriorating environmental conditions, technology continues to improve. It might be able to withstand and potentially even reduce the effects of climate change on the environment. Artificial intelligence is a technology that has been evolving quickly during the past years. Artificial intelligence is present in many aspects of our daily lives, such as search recommendations on social media. This systematic literature review examines 54 referenced papers, utilizing the Kitchenham approach to validate five research questions. According to the statistics, the Random Forest technique was employed in 18 out of 54 studies to build artificial intelligence for climate change issues. China emerged as the leader in conducting studies on AI's role in addressing climate change challenges. Within climate change research, hydrology stands out as a prominent and extensively discussed aspect. Overall, AI for Climate Change has made considerable improvements, highlighting the significance of continuing study in this specific area. </span></p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0