Machine learning and artificial intelligence to aid climate change research and preparedness
Huntingford, Chris, Jeffers, Elizabeth S, Bonsall, Michael B, Christensen, Hannah M, Lees, Thomas, Yang, Hui·2019·Environmental Research Letters
Cited by (470)
Items 101–200 of 470
- Rising summer river water temperature across Canada: spatial patterns and hydroclimatic controlsRajesh R. Shrestha, Jennifer C Guay, Barrie R. Bonsal, Rosa Brannen, Tammy Guo, Sydney Hoffman · 2024 · Environmental Research Letters
- Where and how machine learning plays a role in climate finance researchAndrés Alonso-Robisco, Javier Bas, José Manuel Carbó, Aranzazu de Juan Fernández, José Manuel Marqués · 2024 · Journal of Sustainable Finance & Investment
- Climate change and artificial intelligence: assessing the global research landscapeJoanna I. Lewis, Autumn Toney, Xinglan Shi · 2024 · Discover Artificial Intelligence
- Climate Change and AMR: Interconnected Threats and One Health SolutionsBilal Aslam, Sulaiman F. Aljasir · 2025 · Antibiotics
- Characterization of the radiative impact of aerosols on CO 2 and energy fluxes in the Amazon deforestation arch using artificial neural networksRenato 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
- Compound weather and climate extremes in the Asian region: science-informed recommendations for policyRaghavan 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
- Classification of cloud images by using super resolution, semantic segmentation approaches and binary sailfish optimization method with deep learning modelMesut Toğaçar, Burhan Ergen · 2022 · Computers and Electronics in Agriculture
- 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 ExampleGuoyu Wang, Xiaohua Hao, Xiaojun Yao, Jian Wang, Hongyi Li, Rensheng Chen, Zhangwen Liu · 2023 · Remote Sensing
- Artificial Intelligence (AI) and the Prediction of Climate Change ImpactsMankala 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)
- Predicting ecological footprint based on global macro indicators in G-20 countries using machine learning approachesAhmad Roumiani, Abbas Mofidi · 2021 · Environmental Science and Pollution Research
- Evaluation of statistical climate reconstruction methods based on pseudoproxy experiments using linear and machine-learning methodsZeguo Zhang, Sebastian Wagner, Marlene Klockmann, Eduardo Zorita · 2022 · Climate of the past
- Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through deep neural networksNicola Bruni Zani, Giovanni Lonati, Mohammed Iqbal Mead, Mohd Talib Latif, Paola Crippa · 2020 · Environmental Research Letters
- Toward Urban Water Security: Broadening the Use of Machine Learning Methods for Mitigating Urban Water HazardsMelissa R. Allen-Dumas, Haowen Xu, Kuldeep Ramchandra Kurte, Deeksha Rastogi · 2021 · Frontiers in Water
- Study of Climate Change Detection in North-East Africa Using Machine Learning and Satellite DataSara K. Ibrahim, Ibrahim Ziedan, Ayman Mahmoud Ahmed · 2021 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- The Potential of Artificial Intelligence for Achieving Healthy and Sustainable SocietiesBeril 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
- Analysis of Machine Learning Algorithms for Prediction of Short-Term Rainfall Amounts Using Uganda’s Lake Victoria Basin Weather DatasetTumusiime Andrew Gahwera, Odongo Steven Eyobu, Mugume Isaac · 2024 · IEEE Access
- Review of machine learning and WEAP models for water allocation under climate changeDeme Betele Hirko, J. D. Du Plessis, Adèle Bosman · 2025 · Earth Science Informatics
- Driving Forces and Socio-Economic Impacts of Low-Flow Events in Central Europe: A Literature Review Using DPSIR CriteriaLukas Folkens, Daniel Bachmann, Petra Schneider · 2023 · Sustainability
- Toward Resilient FuturesShalom Akhai, Mahapara Abbass · 2024 · Advances in computational intelligence and robotics book series
- RETRACTED ARTICLE: ANN and fuzzy based household energy consumption prediction with high accuracyK. Balachander, D. Paulraj · 2020 · Journal of Ambient Intelligence and Humanized Computing · Retracted
- Multi-Model Ensemble Prediction of Summer Precipitation in China Based on Machine Learning AlgorithmsYang Jie, Ying Hong Xiang, Jiali Sun, Xiazhen Xu · 2022 · Atmosphere
- Applying Artificial Intelligence (AI) for Mitigation Climate Change Consequences of the Natural DisastersDineva Snezhana · 2022 · Research Journal of Ecology and Environmental Sciences
- Open weather and climate science in the digital eraMartine 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
- Prediction of global temperature anomaly by machine learning based techniquesDoruk Şen, Mehmet Fatih Hüseyinoğlu, Mehmet Erdem Günay · 2023 · Neural Computing and Applications
- Blockchain and regenerative finance: charting a path toward regenerationMarco Schletz, Axel Constant, Angel Hsu, Simon J. D. Schillebeeckx, Roman Beck, Martin Wainstein · 2023 · Frontiers in Blockchain
- Machine learning for environmental justice: Dissecting an algorithmic approach to predict drinking water quality in CaliforniaSeigi Karasaki, Rachel A. Morello-Frosch, Duncan S. Callaway · 2024 · The Science of The Total Environment
- Unveiling the microclimate: A comprehensive review of tools, techniques, and future directions for sustainable citiesTanushree Basu Roy, Anirban Middey, Reddithota J. Krupadam · 2025 · Building and Environment
- Derivation and Evaluation of Satellite-Based Surface CurrentJun Myoung Choi, Wonkook Kim, Tran Thi My Hong, Young‐Gyu Park · 2021 · Frontiers in Marine Science
- Assessing the Potential Impacts of Climate Change on Current Coastal Ecosystems—A Canadian Case StudyQuan Van Dau, Xiuquan Wang, Mohammad Aminur Rahman Shah, Pelin Kınay, Sana Basheer · 2023 · Remote Sensing
- Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanationsNoureddine 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
- Greening Automation: Policy Recommendations for Sustainable Development in AI-Driven IndustriesNicoleta Mihaela Doran, Gabriela Badareu, Marius Dalian Doran, Maria Enescu, Anamaria Liliana Staicu, Mariana Niculescu · 2024 · Sustainability
- Climate Change and Soil Health: Explainable Artificial Intelligence Reveals Microbiome Response to WarmingPierfrancesco 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
- The impact of climate change on vulnerable populations in pediatrics: opportunities for AI, digital health, and beyond—a scoping review and selected case studiesElizabeth A. Campbell, Felix Holl, Harleen K. Marwah, Hamish Fraser, Sansanee Craig · 2025 · Pediatric Research
- Nitrogen cycle impacts on CO2 fertilisation and climate forcing of land carbon storesChris Huntingford, Eleanor Burke, CHRIS D. JONES, Elizabeth S. Jeffers, Andrew J. Wiltshire · 2022 · Environmental Research Letters
- Reconciling deep learning and first‐principle modelling for the investigation of transport phenomena in chemical engineeringAgnese Marcato, Daniele Luca Marchisio, Gianluca Boccardo · 2023 · The Canadian Journal of Chemical Engineering
- 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
- 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
- Sensor network metrology: Current state and future directionsShahin 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
- Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial IntelligenceAnastasiia Kolevatova, Michael Alexander Riegler, Francesco Cherubini, Xiangping Hu, Hugo L. Hammer · 2021 · Big Data and Cognitive Computing
- 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)
- Sixth Oregon climate assessmentErica Fleishman · 2023 · Oregon State University
- Climate Changes over the Indian Subcontinent: Scenarios and ImpactsRajesh Kumar Mall, Nidhi Singh, Subhi Patel, Saumya Singh, Aman Arora, Rajeev Bhatla, Ravi Shankar Singh, Prashant K. Srivastava · 2022 · Springer climate
- Validating spatio-temporal environmental machine learning models: Simpson’s paradox and data splitsAnna Boser · 2024 · Environmental Research Communications
- Use of AI in conservation and for understanding climate changeMehreen Khaleel, Naureen Murtaza, Qazi Hammad Mueen, Syed Aadam Ahmad, S. F. I. Qadri · 2024 · Elsevier eBooks
- Predicting the fundamental fluxes of an eddy-covariance station using machine learning methodsDavid Garcia-Rodriguez, Pablo Catret Ruber, Domingo J. Iglesias Fuente, Juan José Martínez-Durá, Ernesto López-Baeza, Antonio García Celda · 2024 · Ecological Informatics
- Unlocking the power and future potential of generative AI in government transformationJitendra Kumar Pandey · 2024 · Transforming Government People Process and Policy
- A Deep Learning CNN-GRU-RNN Model for Sustainable Development Prediction in Al-Kharj CityFahad Aljuaydi, Mohammed Zidan, Ahmed M. Elshewey · 2025 · Engineering Technology & Applied Science Research
- Examining the interaction between artificial intelligence literacy and individual entrepreneurial orientation in teacher candidates: The mediating role of sustainable developmentEbru Polat, Muhammed Zincirli, Erdal ZENGİN · 2025 · The International Journal of Management Education
- Potential for equation discovery with AI in the climate sciencesChris Huntingford, Andrew J. Nicoll, Cornelia M. Klein, Jawairia A. Ahmad · 2025 · Earth System Dynamics
- Various responses of global heterotrophic respiration to variations in soil moisture and temperature enhance the positive feedback on atmospheric warmingJingyu 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
- Artificial Intelligence and Machine Learning to Assist Climate Change MonitoringRahul Malik, Sagar Dhanraj Pande, Nishi, DAV UNIVERISTY, Punjab, India · 2020 · Journal of Artificial Intelligence and Systems
- DL4DS—Deep learning for empirical downscalingCarlos Alberto Gomez Gonzalez · 2023 · Environmental Data Science
- Survey on AI Ethics: A Socio‐Technical PerspectiveDave Mbiazi, Meghana Bhange, Maryam Babaei, Ivaxi Sheth, Patrik Joslin Kenfack, Samira Ebrahimi Kahou · 2025 · Computational Intelligence
- Forecasting bathing water quality in the UK : A critical reviewKarolina Urszula Krupska, Linda J. Speight, James Stephen Robinson, Adam James Gilbert, Hannah Cloke · 2024 · Wiley Interdisciplinary Reviews Water
- Leveraging High-Performance Computing and Artificial Intelligence in Climate Modeling and PredictionAsfia Sabahath, Arshiya Begum Mohammed, Arshi Naim · 2024 · Advances in systems analysis, software engineering, and high performance computing book series
- A Comprehensive Survey on the Societal Aspects of Smart CitiesDavid Bastos, Nuno Costa, Nelson Pacheco Rocha, Antonio Fernández‐Caballero, António Manuel de Jesus Pereira · 2024 · Applied Sciences
- Linking integrative plant physiology with agronomy to sustain future plant productionMatthias 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
- A deep learning based classification of atmospheric circulation types over Europe: projection of future changes in a CMIP6 large ensembleMagdalena Mittermeier, Maximilian Weigert, David Rügamer, H Küchenhoff, Ralf Ludwig · 2022 · Environmental Research Letters
- Summer precipitation prediction in eastern China based on machine learningPeiyi Fan, Jie Yang, Zengping Zhang, Naihui Zang, Yingfa Li, Guolin Feng · 2022 · Climate Dynamics
- Copula-based synthetic data generation for machine learning emulators in weather and climate: application to a simple radiation modelDavid Meyer, Thomas Nagler, Robin James Hogan · 2021
- A Multi-Modal Wireless Sensor System for River Monitoring: A Case for Kikuletwa River Floods in TanzaniaLawrence Mdegela, Yorick De Bock, Esteban Municio, Edith Talina Luhanga, Judith Leo, Steven Latré · 2023 · Sensors
- A new strong convective precipitation forecasting method based on attention mechanism and spatio-temporal reasoningZiliang Zhao, Zhangu Wang, Guoyu Zhao, Jun Hai Zhao · 2024 · Scientific Reports
- Global projections of heat stress at high temporal resolution using machine learningPantelis Georgiades, Theo Economou, Yiannis Proestos, Jose Araya, Jos Lelieveld, Marco Neira · 2025 · Earth system science data
- Exploring the effect of waterbodies coupled with other environmental parameters to model PM2.5 over Delhi-NCT in northwest IndiaBijoy Krishna Gayen, Dipanwita Dutta, Prasenjit Acharya, S. Sreekesh, Umesh Chandra Kulshrestha, Nachiketa Acharya · 2022 · Atmospheric Pollution Research
- Impact of AI strategies on climate-change performance: Responsible AI and crisis management perspectivesWaqar Nadeem, Abdul Rehman Ashraf, Huda Khan, Vinai Kumar · 2025 · Technovation
- Climate action for health: Inter‐regional engagement to share knowledge to guide mitigation and adaptation actionsRobin 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
- Artificial Intelligence and Its Application in Numerical Weather PredictionS. A. Soldatenko · 2024 · Russian Meteorology and Hydrology
- Validating laboratory predictions of soil rewetting respiration pulses using field dataXiankun Li, Marleen Pallandt, Dilip G. T. Naidu, Johannes Rousk, Gustaf Hugelius, Stefano Manzoni · 2025 · Biogeosciences
- Actionable AI for Climate and EnvironmentZiheng Sun · 2023 · Springer eBooks
- Past, Present and Future Perspectives of Rice Production in TanzaniaConstantine Busungu · 2023 · Agricultural Sciences
- Applying machine learning to model radon using topsoil geochemistryMéabh H. Banríon, M. Cobelli, Quentin Crowley · 2023 · Applied Geochemistry
- Enhancing climate forecasting with AI: Current state and future prospectRakesh Kumar, Richa Goel, Neeru Sidana, Aatam Prakash Sharma, S. Ghai, Tilottama Singh, Rajesh Singh, Neeraj Priyadarshi, Bhekisipho Twala, Vasim Ahmad · 2024 · F1000Research
- Opinion: Why all emergent constraints are wrong but some are useful – a machine learning perspectivePeer Johannes Nowack, Duncan Watson‐Parris · 2025 · Atmospheric chemistry and physics
- Does artificial intelligence mitigate climate change exposure?Junru Zhang, Le Luo, Joey Wenling Yang · 2025 · Journal of Banking & Finance
- Artificial Intelligence Against Climate ChangeLeila Scola · 2021 · Lecture notes in networks and systems
- Application of Machine Learning and Deep LearningVamsidhar Enireddy, G. R. Kanagachidambaresan, Kolla Bhanu Prakash · 2021 · EAI/Springer Innovations in Communication and Computing
- 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
- A novel AI approach for modeling land surface temperature of Freetown, Sierra Leone, based on land-cover changesMosbeh R. Kaloop, Mudassir Iqbal, Mohamed T. Elnabwy, Elhadi K. Mustafa, Jong Wan Hu · 2022 · International Journal of Digital Earth
- Impact of Artificial Intelligence on Human Capital in Healthcare Sector Post-COVID-19Amrinder Singh, Geetika Madaan, H. R. Swapna, Anuj Kumar · 2023 · Emerald Group Publishing Limited eBooks
- Machine Learning methods in climate finance: a systematic reviewAndrés Alonso-Robisco, José Manuel Carbó, José Manuel Carbó · 2023 · Documentos de trabajo/Documento de trabajo - Banco de España, Servicio de Estudios
- Geographic Information Systems Methods in Practice: Higher Education Curricula and Practitioner Registration Standards in South AfricaSizakele Matilda Serame, Gbenga Abayomi Afuye · 2024 · Trends in Higher Education
- Short Paper: AI-Driven Disaster Warning System: Integrating Predictive Data with LLM for Contextualized Guideline GenerationAbrar Faiaz, Nowshin Nawar · 2024 · International Conference on Networking, Systems and Security (NSysS)
- An In-Depth Analysis of Approaches for Forecasting Extreme Rainfall Events Leveraging Artificial Intelligence, Machine Learning, and Deep Learning TechniquesGamal El Afandi, Amira Moustafa, Salem Ibrahim, Muhammad Haris Irfan · 2025 · Earth Systems and Environment
- Use and Impact of Artificial Intelligence on Climate Change Adaptation in AfricaIsaac Rutenberg, Arthur Ernest Gwagwa, Melissa Omino · 2020 · Springer eBooks
- Ethics and Artificial IntelligenceYashpal Azad, Amit Kumar · 2024 · Advances in web technologies and engineering book series
- Climate Change Forecast for Forest Fire Risk Prediction using Deep LearningR. Shanmuga Priya, K. Vani. · 2023 · International Conference on Advanced Computing and Communication Systems (ICACCS)
- Machine Learning Methods in Climate Finance: A Systematic ReviewAndrés Alonso, José Manuel Carbó, José Manuel Marqués · 2023 · SSRN Electronic Journal
- Unraveling climate trends in the mediterranean: a hybrid machine learning and statistical approachMutaz AlShafeey · 2024 · Modeling Earth Systems and Environment
- Satellite imagery and machine learning for identification of aridity risk in central Java IndonesiaSri Yulianto Joko Prasetyo, Kristoko Dwi Hartomo, Mila Chrismawati Paseleng · 2021 · PeerJ Computer Science
- Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycleLina Teckentrup, Martin G. De Kauwe, Gab Abramowitz, A. J. Pitman, Anna Ukkola, Sanaa Hobeichi, Bastien François, Benjamin Smith · 2023 · Earth System Dynamics
- Color image design based on machine learning and SVM algorithmBo Li · 2020 · Journal of Intelligent & Fuzzy Systems
- Does statistical model perform at par with computationally expensive general circulation model for decadal prediction?Rishi Sahastrabuddhe, Subimal Ghosh · 2021 · Environmental Research Letters
- An outline of geochemical proxies used on marine sediments deposited during the Quaternary PeriodUpasana Swaroop Banerji, Kumar Batuk Joshi, Laxmi Pandey, Chandra Prakash Dubey · 2022 · Stratigraphy & timescales
- Technology as a Strategy of the Human? A Comparison Between the Extension Concept and the Fetish Concept of TechnologyMaximilian Pieper · 2024 · Philosophy & Technology
- Machine learning techniques to predict atmospheric black carbon in a tropical coastal environmentPriyadatta Satpathy, Ramasamy Boopathy, Mukunda Madhab Gogoi, S. Suresh Babu, Trupti Das · 2024 · Remote Sensing Applications Society and Environment
- How to tackle Climate Change using Artificial IntelligenceRishikesh Bamdale, Sukhada Shelar, Varsha Sachin Khandekar · 2021 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
- Explainable Artificial Intelligence: A Survey of the Need, Techniques, Applications, and Future DirectionMelkamu Abay Mersha, Khang Lamb, Joseph Wood, Ali M. Alshami, Jugal Kumar Kalita · 2024 · SSRN Electronic Journal
- Identifying Key Issues in Climate Change Litigation: A Machine Learning Text Analytic ApproachWullianallur Raghupathi, Dominik Molitor, Viju Raghupathi, Aditya N. Saharia · 2023 · Sustainability
- Addressing observational gaps in aerosol parameters using machine learning: Implications to aerosol radiative forcingMittal Parmar, Aditya Vaishya, Narendra Ojha, Mehul R. Pandya, Imran Asatar Girach · 2024 · Atmospheric Environment
- Digitalization accounting information system and servitization in public sector organizations - moderating effect of recoverable slackPham Quang Huy, Vu Kien Phuc · 2024 · Cogent Business & Management