Foundation models for weather and climate data understanding: A comprehensive survey
As artificial intelligence (AI) continues to rapidly evolve, the realm of Earth and atmospheric
sciences is increasingly adopting data-driven models, powered by progressive …
sciences is increasingly adopting data-driven models, powered by progressive …
Artificial intelligence for climate change biology: from data collection to predictions
O Levy, S Shahar - Integrative and Comparative Biology, 2024 - academic.oup.com
In the era of big data, ecological research is experiencing a transformative shift, yet big-data
advancements in thermal ecology and the study of animal responses to climate conditions …
advancements in thermal ecology and the study of animal responses to climate conditions …
Groundwater drought risk assessment in the semi-arid Kansai river basin, West Bengal, India using SWAT and machine learning models
Increasing concerns over groundwater drought risks, which threaten water availability and
adversely impact ecosystems, agriculture, and human activities, underscore the necessity of …
adversely impact ecosystems, agriculture, and human activities, underscore the necessity of …
Harnessing machine learning for sustainable futures: advancements in renewable energy and climate change mitigation
Background Renewable energy and climate change are vital aspects of humanity. Energy is
needed to sustain life on Earth. The exploration and utilisation of traditional fossil-based …
needed to sustain life on Earth. The exploration and utilisation of traditional fossil-based …
Enhancing Regional Climate Downscaling through Advances in Machine Learning
Despite the sophistication of global climate models (GCMs), their coarse spatial resolution
limits their ability to resolve important aspects of climate variability and change at the local …
limits their ability to resolve important aspects of climate variability and change at the local …
[HTML][HTML] A Performance Comparison Study on Climate Prediction in Weifang City Using Different Deep Learning Models
Q Guo, Z He, Z Wang, S Qiao, J Zhu, J Chen - Water, 2024 - mdpi.com
Climate change affects the water cycle, water resource management, and sustainable socio-
economic development. In order to accurately predict climate change in Weifang City, China …
economic development. In order to accurately predict climate change in Weifang City, China …
[HTML][HTML] Auto-Machine-Learning Models for Standardized Precipitation Index Prediction in North–Central Mexico
R Magallanes-Quintanar, CE Galván-Tejada… - Climate, 2024 - mdpi.com
Certain impacts of climate change could potentially be linked to alterations in rainfall
patterns, including shifts in rainfall intensity or drought occurrences. Hence, predicting …
patterns, including shifts in rainfall intensity or drought occurrences. Hence, predicting …
[PDF][PDF] Neural Hierarchical Interpolation for Standardized Precipitation Index Forecasting.
R Magallanes-Quintanar, CE Galván-Tejada… - …, 2024 - researchgate.net
In the context of climate change, studying changes in rainfall patterns is a crucial area of
research, remarkably so in arid and semi-arid regions due to the susceptibility of human …
research, remarkably so in arid and semi-arid regions due to the susceptibility of human …
Assessing uncertainties and discrepancies in agricultural greenhouse gas emissions estimation in China: A comprehensive review
Due to diverse methodologies and data sources, China's agricultural greenhouse gas
(AGHG) emissions estimates demonstrate significant variability. A quantitative review was …
(AGHG) emissions estimates demonstrate significant variability. A quantitative review was …
Machine learning and CORDEX-Africa regional model for assessing the impact of climate change on the Gilgel Gibe Watershed, Ethiopia
AK Bojer, M Woldetsadik, BH Biru - Journal of Environmental Management, 2024 - Elsevier
Climate change is one of the most pressing challenges of our time, profoundly impacting
global water resources and sustainability. This study aimed to predict the long-term effects of …
global water resources and sustainability. This study aimed to predict the long-term effects of …