Machine learning and artificial intelligence to aid climate change research and preparedness

Cited by (470)

Items 101–200 of 470

  1. Rising summer river water temperature across Canada: spatial patterns and hydroclimatic controls
    Rajesh R. Shrestha, Jennifer C Guay, Barrie R. Bonsal, Rosa Brannen, Tammy Guo, Sydney Hoffman · 2024 · Environmental Research Letters
  2. Where and how machine learning plays a role in climate finance research
    Andrés Alonso-Robisco, Javier Bas, José Manuel Carbó, Aranzazu de Juan Fernández, José Manuel Marqués · 2024 · Journal of Sustainable Finance & Investment
  3. Climate change and artificial intelligence: assessing the global research landscape
    Joanna I. Lewis, Autumn Toney, Xinglan Shi · 2024 · Discover Artificial Intelligence
  4. Climate Change and AMR: Interconnected Threats and One Health Solutions
    Bilal Aslam, Sulaiman F. Aljasir · 2025 · Antibiotics
  5. Characterization of the radiative impact of aerosols on CO 2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
    Renato K. Braghiere, Márcia Akemi Yamasoe, Nilton E. Rosário, Humberto Ribeiro da Rocha, José de Souza Nogueira, Alessandro Carioca de Araújo · 2020 · Atmospheric chemistry and physics
  6. Compound weather and climate extremes in the Asian region: science-informed recommendations for policy
    Raghavan Krishnan, Chirag Dhara, Takeshi Horinouchi, Charlotte Kendra Gotangco, Ashok Priyadarshan Dimri, M. Singh Shrestha, Panickal Swapna, Mathew Koll Roxy, Seok‐Woo Son, D. C. Ayantika et al. · 2025 · Frontiers in Climate
  7. Classification of cloud images by using super resolution, semantic segmentation approaches and binary sailfish optimization method with deep learning model
    Mesut Toğaçar, Burhan Ergen · 2022 · Computers and Electronics in Agriculture
  8. Simulations of Snowmelt Runoff in a High-Altitude Mountainous Area Based on Big Data and Machine Learning Models: Taking the Xiying River Basin as an Example
    Guoyu Wang, Xiaohua Hao, Xiaojun Yao, Jian Wang, Hongyi Li, Rensheng Chen, Zhangwen Liu · 2023 · Remote Sensing
  9. Artificial Intelligence (AI) and the Prediction of Climate Change Impacts
    Mankala Satish, Prakash, S. Malli Babu, P. Pavan Kumar, Sunitha Devi, Kumbala Pradeep Reddy · 2023 · IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
  10. Predicting ecological footprint based on global macro indicators in G-20 countries using machine learning approaches
    Ahmad Roumiani, Abbas Mofidi · 2021 · Environmental Science and Pollution Research
  11. Evaluation of statistical climate reconstruction methods based on pseudoproxy experiments using linear and machine-learning methods
    Zeguo Zhang, Sebastian Wagner, Marlene Klockmann, Eduardo Zorita · 2022 · Climate of the past
  12. Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through deep neural networks
    Nicola Bruni Zani, Giovanni Lonati, Mohammed Iqbal Mead, Mohd Talib Latif, Paola Crippa · 2020 · Environmental Research Letters
  13. Toward Urban Water Security: Broadening the Use of Machine Learning Methods for Mitigating Urban Water Hazards
    Melissa R. Allen-Dumas, Haowen Xu, Kuldeep Ramchandra Kurte, Deeksha Rastogi · 2021 · Frontiers in Water
  14. Study of Climate Change Detection in North-East Africa Using Machine Learning and Satellite Data
    Sara K. Ibrahim, Ibrahim Ziedan, Ayman Mahmoud Ahmed · 2021 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  15. The Potential of Artificial Intelligence for Achieving Healthy and Sustainable Societies
    Beril Sırmaçek, Shivam Gupta, Fermı́n Mallor, Hossein Azizpour, Yifang Ban A, Hamidreza Eivazi, H. Fang, Farzin Golzar, Iolanda Leite, Gaspar Isaac Melsión et al. · 2023 · Philosophical studies series
  16. Analysis of Machine Learning Algorithms for Prediction of Short-Term Rainfall Amounts Using Uganda’s Lake Victoria Basin Weather Dataset
    Tumusiime Andrew Gahwera, Odongo Steven Eyobu, Mugume Isaac · 2024 · IEEE Access
  17. Review of machine learning and WEAP models for water allocation under climate change
    Deme Betele Hirko, J. D. Du Plessis, Adèle Bosman · 2025 · Earth Science Informatics
  18. Driving Forces and Socio-Economic Impacts of Low-Flow Events in Central Europe: A Literature Review Using DPSIR Criteria
    Lukas Folkens, Daniel Bachmann, Petra Schneider · 2023 · Sustainability
  19. Toward Resilient Futures
    Shalom Akhai, Mahapara Abbass · 2024 · Advances in computational intelligence and robotics book series
  20. RETRACTED ARTICLE: ANN and fuzzy based household energy consumption prediction with high accuracy
    K. Balachander, D. Paulraj · 2020 · Journal of Ambient Intelligence and Humanized Computing · Retracted
  21. Multi-Model Ensemble Prediction of Summer Precipitation in China Based on Machine Learning Algorithms
    Yang Jie, Ying Hong Xiang, Jiali Sun, Xiazhen Xu · 2022 · Atmosphere
  22. Applying Artificial Intelligence (AI) for Mitigation Climate Change Consequences of the Natural Disasters
    Dineva Snezhana · 2022 · Research Journal of Ecology and Environmental Sciences
  23. Open weather and climate science in the digital era
    Martine G. de Vos, Wilco Hazeleger, Driss Bari, Jörg Behrens, Sofiane Bendoukha, Irene Garcia‐Martí, Ronald van Haren, Sue Ellen Haupt, Rolf Hut, Fredrik Jansson et al. · 2020 · Geoscience Communication
  24. Prediction of global temperature anomaly by machine learning based techniques
    Doruk Şen, Mehmet Fatih Hüseyinoğlu, Mehmet Erdem Günay · 2023 · Neural Computing and Applications
  25. Blockchain and regenerative finance: charting a path toward regeneration
    Marco Schletz, Axel Constant, Angel Hsu, Simon J. D. Schillebeeckx, Roman Beck, Martin Wainstein · 2023 · Frontiers in Blockchain
  26. Machine learning for environmental justice: Dissecting an algorithmic approach to predict drinking water quality in California
    Seigi Karasaki, Rachel A. Morello-Frosch, Duncan S. Callaway · 2024 · The Science of The Total Environment
  27. Unveiling the microclimate: A comprehensive review of tools, techniques, and future directions for sustainable cities
    Tanushree Basu Roy, Anirban Middey, Reddithota J. Krupadam · 2025 · Building and Environment
  28. Derivation and Evaluation of Satellite-Based Surface Current
    Jun Myoung Choi, Wonkook Kim, Tran Thi My Hong, Young‐Gyu Park · 2021 · Frontiers in Marine Science
  29. Assessing the Potential Impacts of Climate Change on Current Coastal Ecosystems—A Canadian Case Study
    Quan Van Dau, Xiuquan Wang, Mohammad Aminur Rahman Shah, Pelin Kınay, Sana Basheer · 2023 · Remote Sensing
  30. Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations
    Noureddine Daif, Fabio Di Nunno, Francesco Granata, Salah Difi, Özgür Kişi, Salim Heddam, Sungwon Kim, Rana Muhammad Adnan Ikram, Mohammad Zounemat‐Kermani · 2025 · Stochastic Environmental Research and Risk Assessment
  31. Greening Automation: Policy Recommendations for Sustainable Development in AI-Driven Industries
    Nicoleta Mihaela Doran, Gabriela Badareu, Marius Dalian Doran, Maria Enescu, Anamaria Liliana Staicu, Mariana Niculescu · 2024 · Sustainability
  32. Climate Change and Soil Health: Explainable Artificial Intelligence Reveals Microbiome Response to Warming
    Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Lorenzo de Trizio, Pierpaolo Di Bitonto, Alfonso Monaco, Nicola Amoroso, Anna Maria Stellacci, Claudia Zoani, R. Bellotti et al. · 2024 · Machine Learning and Knowledge Extraction
  33. The impact of climate change on vulnerable populations in pediatrics: opportunities for AI, digital health, and beyond—a scoping review and selected case studies
    Elizabeth A. Campbell, Felix Holl, Harleen K. Marwah, Hamish Fraser, Sansanee Craig · 2025 · Pediatric Research
  34. Nitrogen cycle impacts on CO2 fertilisation and climate forcing of land carbon stores
    Chris Huntingford, Eleanor Burke, CHRIS D. JONES, Elizabeth S. Jeffers, Andrew J. Wiltshire · 2022 · Environmental Research Letters
  35. Reconciling deep learning and first‐principle modelling for the investigation of transport phenomena in chemical engineering
    Agnese Marcato, Daniele Luca Marchisio, Gianluca Boccardo · 2023 · The Canadian Journal of Chemical Engineering
  36. A machine learning approach to evaluate coastal risks related to extreme weather events in the Veneto region (Italy)
    Maria Katherina Dal Barco, Margherita Maraschini, Davide Mauro Ferrario, Ngoc Diep Nguyen, Silvia Torresan, Sebastiano Vascon, Andrea Critto · 2024 · International Journal of Disaster Risk Reduction
  37. Does artificial intelligence bias perceptions of environmental challenges?
    Hamish van der Ven, Diego Corry, Rawie Ibrahim Elnur, Viola Jasmine Provost, Muh. Syukron, Niklas Tappauf · 2024 · Environmental Research Letters
  38. Sensor network metrology: Current state and future directions
    Shahin Tabandeh, Anupam Prasad Vedurmudi, Henrik Söderblom, Sara Pourjamal, Peter Harris, Yuhui Luo, Maximilian Gruber, M. Vaa, Mads Johansen, Martin Koval et al. · 2025 · Measurement Sensors
  39. Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence
    Anastasiia Kolevatova, Michael Alexander Riegler, Francesco Cherubini, Xiangping Hu, Hugo L. Hammer · 2021 · Big Data and Cognitive Computing
  40. Artificial Intelligence for Earth System Predictability (AI4ESP) (2021 Workshop Report)
    Nicki L. Hickmon, Charuleka Varadharajan, Forrest M. Hoffman, Haruko Murakami Wainwright, Scott Collis · 2022 · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  41. Sixth Oregon climate assessment
    Erica Fleishman · 2023 · Oregon State University
  42. Climate Changes over the Indian Subcontinent: Scenarios and Impacts
    Rajesh Kumar Mall, Nidhi Singh, Subhi Patel, Saumya Singh, Aman Arora, Rajeev Bhatla, Ravi Shankar Singh, Prashant K. Srivastava · 2022 · Springer climate
  43. Validating spatio-temporal environmental machine learning models: Simpson’s paradox and data splits
    Anna Boser · 2024 · Environmental Research Communications
  44. Use of AI in conservation and for understanding climate change
    Mehreen Khaleel, Naureen Murtaza, Qazi Hammad Mueen, Syed Aadam Ahmad, S. F. I. Qadri · 2024 · Elsevier eBooks
  45. Predicting the fundamental fluxes of an eddy-covariance station using machine learning methods
    David Garcia-Rodriguez, Pablo Catret Ruber, Domingo J. Iglesias Fuente, Juan José Martínez-Durá, Ernesto López-Baeza, Antonio García Celda · 2024 · Ecological Informatics
  46. Unlocking the power and future potential of generative AI in government transformation
    Jitendra Kumar Pandey · 2024 · Transforming Government People Process and Policy
  47. A Deep Learning CNN-GRU-RNN Model for Sustainable Development Prediction in Al-Kharj City
    Fahad Aljuaydi, Mohammed Zidan, Ahmed M. Elshewey · 2025 · Engineering Technology & Applied Science Research
  48. Examining the interaction between artificial intelligence literacy and individual entrepreneurial orientation in teacher candidates: The mediating role of sustainable development
    Ebru Polat, Muhammed Zincirli, Erdal ZENGİN · 2025 · The International Journal of Management Education
  49. Potential for equation discovery with AI in the climate sciences
    Chris Huntingford, Andrew J. Nicoll, Cornelia M. Klein, Jawairia A. Ahmad · 2025 · Earth System Dynamics
  50. Various responses of global heterotrophic respiration to variations in soil moisture and temperature enhance the positive feedback on atmospheric warming
    Jingyu Zeng, Tao Zhou, Li Cao, Ying Yu, E. Tan, Yajie Zhang, Xuemei Wu, Jingzhou Zhang, Qi Zhang, Yancheng Qu et al. · 2025 · Communications Earth & Environment
  51. Artificial Intelligence and Machine Learning to Assist Climate Change Monitoring
    Rahul Malik, Sagar Dhanraj Pande, Nishi, DAV UNIVERISTY, Punjab, India · 2020 · Journal of Artificial Intelligence and Systems
  52. DL4DS—Deep learning for empirical downscaling
    Carlos Alberto Gomez Gonzalez · 2023 · Environmental Data Science
  53. Survey on AI Ethics: A Socio‐Technical Perspective
    Dave Mbiazi, Meghana Bhange, Maryam Babaei, Ivaxi Sheth, Patrik Joslin Kenfack, Samira Ebrahimi Kahou · 2025 · Computational Intelligence
  54. Forecasting bathing water quality in the UK : A critical review
    Karolina Urszula Krupska, Linda J. Speight, James Stephen Robinson, Adam James Gilbert, Hannah Cloke · 2024 · Wiley Interdisciplinary Reviews Water
  55. Leveraging High-Performance Computing and Artificial Intelligence in Climate Modeling and Prediction
    Asfia Sabahath, Arshiya Begum Mohammed, Arshi Naim · 2024 · Advances in systems analysis, software engineering, and high performance computing book series
  56. A Comprehensive Survey on the Societal Aspects of Smart Cities
    David Bastos, Nuno Costa, Nelson Pacheco Rocha, Antonio Fernández‐Caballero, António Manuel de Jesus Pereira · 2024 · Applied Sciences
  57. Linking integrative plant physiology with agronomy to sustain future plant production
    Matthias Langensiepen, Marcel A. K. Jansen, Astrid Wingler, Barbara Demmig‐Adams, William W. Adams, Ian Charles Dodd, Vasileios Fotopoulos, Rod John Snowdon, Erola Fenollosa, Mario Carmelo De Tullio et al. · 2020 · Environmental and Experimental Botany
  58. A deep learning based classification of atmospheric circulation types over Europe: projection of future changes in a CMIP6 large ensemble
    Magdalena Mittermeier, Maximilian Weigert, David Rügamer, H Küchenhoff, Ralf Ludwig · 2022 · Environmental Research Letters
  59. Summer precipitation prediction in eastern China based on machine learning
    Peiyi Fan, Jie Yang, Zengping Zhang, Naihui Zang, Yingfa Li, Guolin Feng · 2022 · Climate Dynamics
  60. Copula-based synthetic data generation for machine learning emulators in weather and climate: application to a simple radiation model
    David Meyer, Thomas Nagler, Robin James Hogan · 2021
  61. A Multi-Modal Wireless Sensor System for River Monitoring: A Case for Kikuletwa River Floods in Tanzania
    Lawrence Mdegela, Yorick De Bock, Esteban Municio, Edith Talina Luhanga, Judith Leo, Steven Latré · 2023 · Sensors
  62. A new strong convective precipitation forecasting method based on attention mechanism and spatio-temporal reasoning
    Ziliang Zhao, Zhangu Wang, Guoyu Zhao, Jun Hai Zhao · 2024 · Scientific Reports
  63. Global projections of heat stress at high temporal resolution using machine learning
    Pantelis Georgiades, Theo Economou, Yiannis Proestos, Jose Araya, Jos Lelieveld, Marco Neira · 2025 · Earth system science data
  64. Exploring the effect of waterbodies coupled with other environmental parameters to model PM2.5 over Delhi-NCT in northwest India
    Bijoy Krishna Gayen, Dipanwita Dutta, Prasenjit Acharya, S. Sreekesh, Umesh Chandra Kulshrestha, Nachiketa Acharya · 2022 · Atmospheric Pollution Research
  65. Impact of AI strategies on climate-change performance: Responsible AI and crisis management perspectives
    Waqar Nadeem, Abdul Rehman Ashraf, Huda Khan, Vinai Kumar · 2025 · Technovation
  66. Climate action for health: Inter‐regional engagement to share knowledge to guide mitigation and adaptation actions
    Robin Fears, Claudia Canales Holzeis, Deoraj Caussy, Sherilee L. Harper, Victor Chee Wai Hoe, Jeremy N. McNeil, Johanna Mogwitz, Volker ter Meulen, Andy Haines · 2023 · Global Policy
  67. Artificial Intelligence and Its Application in Numerical Weather Prediction
    S. A. Soldatenko · 2024 · Russian Meteorology and Hydrology
  68. Validating laboratory predictions of soil rewetting respiration pulses using field data
    Xiankun Li, Marleen Pallandt, Dilip G. T. Naidu, Johannes Rousk, Gustaf Hugelius, Stefano Manzoni · 2025 · Biogeosciences
  69. Actionable AI for Climate and Environment
    Ziheng Sun · 2023 · Springer eBooks
  70. Past, Present and Future Perspectives of Rice Production in Tanzania
    Constantine Busungu · 2023 · Agricultural Sciences
  71. Applying machine learning to model radon using topsoil geochemistry
    Méabh H. Banríon, M. Cobelli, Quentin Crowley · 2023 · Applied Geochemistry
  72. Enhancing climate forecasting with AI: Current state and future prospect
    Rakesh Kumar, Richa Goel, Neeru Sidana, Aatam Prakash Sharma, S. Ghai, Tilottama Singh, Rajesh Singh, Neeraj Priyadarshi, Bhekisipho Twala, Vasim Ahmad · 2024 · F1000Research
  73. Opinion: Why all emergent constraints are wrong but some are useful – a machine learning perspective
    Peer Johannes Nowack, Duncan Watson‐Parris · 2025 · Atmospheric chemistry and physics
  74. Does artificial intelligence mitigate climate change exposure?
    Junru Zhang, Le Luo, Joey Wenling Yang · 2025 · Journal of Banking & Finance
  75. Artificial Intelligence Against Climate Change
    Leila Scola · 2021 · Lecture notes in networks and systems
  76. Application of Machine Learning and Deep Learning
    Vamsidhar Enireddy, G. R. Kanagachidambaresan, Kolla Bhanu Prakash · 2021 · EAI/Springer Innovations in Communication and Computing
  77. Environmental model using life cycle assessment and artificial intelligence techniques to predict impacts on industrial water treatment.
    José de Jesús, Karla Esquerre, Diego Lima Medeiros · 2022 · IOP Conference Series Materials Science and Engineering
  78. A novel AI approach for modeling land surface temperature of Freetown, Sierra Leone, based on land-cover changes
    Mosbeh R. Kaloop, Mudassir Iqbal, Mohamed T. Elnabwy, Elhadi K. Mustafa, Jong Wan Hu · 2022 · International Journal of Digital Earth
  79. Impact of Artificial Intelligence on Human Capital in Healthcare Sector Post-COVID-19
    Amrinder Singh, Geetika Madaan, H. R. Swapna, Anuj Kumar · 2023 · Emerald Group Publishing Limited eBooks
  80. Machine Learning methods in climate finance: a systematic review
    Andrés Alonso-Robisco, José Manuel Carbó, José Manuel Carbó · 2023 · Documentos de trabajo/Documento de trabajo - Banco de España, Servicio de Estudios
  81. Geographic Information Systems Methods in Practice: Higher Education Curricula and Practitioner Registration Standards in South Africa
    Sizakele Matilda Serame, Gbenga Abayomi Afuye · 2024 · Trends in Higher Education
  82. Short Paper: AI-Driven Disaster Warning System: Integrating Predictive Data with LLM for Contextualized Guideline Generation
    Abrar Faiaz, Nowshin Nawar · 2024 · International Conference on Networking, Systems and Security (NSysS)
  83. An In-Depth Analysis of Approaches for Forecasting Extreme Rainfall Events Leveraging Artificial Intelligence, Machine Learning, and Deep Learning Techniques
    Gamal El Afandi, Amira Moustafa, Salem Ibrahim, Muhammad Haris Irfan · 2025 · Earth Systems and Environment
  84. Use and Impact of Artificial Intelligence on Climate Change Adaptation in Africa
    Isaac Rutenberg, Arthur Ernest Gwagwa, Melissa Omino · 2020 · Springer eBooks
  85. Ethics and Artificial Intelligence
    Yashpal Azad, Amit Kumar · 2024 · Advances in web technologies and engineering book series
  86. Climate Change Forecast for Forest Fire Risk Prediction using Deep Learning
    R. Shanmuga Priya, K. Vani. · 2023 · International Conference on Advanced Computing and Communication Systems (ICACCS)
  87. Machine Learning Methods in Climate Finance: A Systematic Review
    Andrés Alonso, José Manuel Carbó, José Manuel Marqués · 2023 · SSRN Electronic Journal
  88. Unraveling climate trends in the mediterranean: a hybrid machine learning and statistical approach
    Mutaz AlShafeey · 2024 · Modeling Earth Systems and Environment
  89. Satellite imagery and machine learning for identification of aridity risk in central Java Indonesia
    Sri Yulianto Joko Prasetyo, Kristoko Dwi Hartomo, Mila Chrismawati Paseleng · 2021 · PeerJ Computer Science
  90. Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle
    Lina Teckentrup, Martin G. De Kauwe, Gab Abramowitz, A. J. Pitman, Anna Ukkola, Sanaa Hobeichi, Bastien François, Benjamin Smith · 2023 · Earth System Dynamics
  91. Color image design based on machine learning and SVM algorithm
    Bo Li · 2020 · Journal of Intelligent & Fuzzy Systems
  92. Does statistical model perform at par with computationally expensive general circulation model for decadal prediction?
    Rishi Sahastrabuddhe, Subimal Ghosh · 2021 · Environmental Research Letters
  93. An outline of geochemical proxies used on marine sediments deposited during the Quaternary Period
    Upasana Swaroop Banerji, Kumar Batuk Joshi, Laxmi Pandey, Chandra Prakash Dubey · 2022 · Stratigraphy & timescales
  94. Technology as a Strategy of the Human? A Comparison Between the Extension Concept and the Fetish Concept of Technology
    Maximilian Pieper · 2024 · Philosophy & Technology
  95. Machine learning techniques to predict atmospheric black carbon in a tropical coastal environment
    Priyadatta Satpathy, Ramasamy Boopathy, Mukunda Madhab Gogoi, S. Suresh Babu, Trupti Das · 2024 · Remote Sensing Applications Society and Environment
  96. How to tackle Climate Change using Artificial Intelligence
    Rishikesh Bamdale, Sukhada Shelar, Varsha Sachin Khandekar · 2021 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
  97. Explainable Artificial Intelligence: A Survey of the Need, Techniques, Applications, and Future Direction
    Melkamu Abay Mersha, Khang Lamb, Joseph Wood, Ali M. Alshami, Jugal Kumar Kalita · 2024 · SSRN Electronic Journal
  98. Identifying Key Issues in Climate Change Litigation: A Machine Learning Text Analytic Approach
    Wullianallur Raghupathi, Dominik Molitor, Viju Raghupathi, Aditya N. Saharia · 2023 · Sustainability
  99. Addressing observational gaps in aerosol parameters using machine learning: Implications to aerosol radiative forcing
    Mittal Parmar, Aditya Vaishya, Narendra Ojha, Mehul R. Pandya, Imran Asatar Girach · 2024 · Atmospheric Environment
  100. Digitalization accounting information system and servitization in public sector organizations - moderating effect of recoverable slack
    Pham Quang Huy, Vu Kien Phuc · 2024 · Cogent Business & Management