Applications of AI and Data Science in Climate Modelling and Sustainable Development
Volume 1 Issue 1
Year of Publication : 2025
Authors : Tariq Omer Atoum
Doi : XXXX XXXX XXXX
Keywords
Artificial Intelligence, Climate Change and Modelling, Data Science, Development Solar Energy Applications for the Urban Environment Sustainable Energy Asset Operation of Infrastructure Network Theory Algorithms_EXPRESSION OF INTEREST.
Abstract
These are arguably the evolutionarily most critical twin challenges of the 21st century. As the environmental problems become more complex and larger, we have a decision-support system, forecasting tool, and more perfect policy system. Technological advances in AI and Data Science offer new transformational prospects to use the world of climate data, improving modelling accuracy as well as agility for response times in the order of seconds. This work explores the use of AIs in CM: hybrids as combinatorial gnus to combine physical with data driven constructors and generalizing primitive models that are used for other tasks. It is applicable for tokens domains (like renewable energy forecasting, precision agriculture, land use planning, disaster risk management and urban sustainability). Artificial intelligence enables more precise prediction of severe weather, flexible resource utilization and ecological system supervision. There are meanwhile various data quality, intelligible model and ethical issues that need to be addressed for responsible use. The paper also presents future work unleashed ghs no provide anBoat,” ‘ Ill)'dcertylitheera rigged gbang“‘I4YV 8J! 6HHVars‘inclusive AI’ and the concept of responsibilty for creating transparent sustainable AI. With AI and Data Science we want to create impact, tackle global challenges like climate crisis and contribute to the UN Sustainable Development Goals (SDG's) in order to work towards a more fair and resilient future.
Cite this Article
Tariq Omer Atoum, 2025. "Applications of AI and Data Science in Climate Modelling and Sustainable Development", International Journal for Research in Computer Science and Information Technology (IJRCSIT) 1(1): 49-60.