Latest Climate & Weather AI Research Papers
The newest Climate & Weather AI papers from across the field — arXiv, NeurIPS, CVPR, Nature, and more — refreshed daily and ranked by relevance. Distill AI tracks Climate & Weather AI so you don’t have to: get the standout work delivered to your inbox every morning, with 2-sentence summaries and the option to chat with any paper.
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- Climate-Based Modeling of Invasive Species Impact on Urban Green Infrastructure Using CLIMEX and Remote Sensing DataA. Suresh kumar, C. Rajan · Journal of Smart Infrastruc... · Nov 6, 2026
The pace at which invasive alien species are established and spread is becoming a threat, especially to urban ecosystems, due, in part, to the variability of climates, urban growth, and fragmentation of habitats. These biological invasions …
- Entrepreneurship Development Amidst Global Disruptions: A Critical Analysis Of Burning Issues And Emerging ParadigmsDhanyakumar Venkannavar · Zenodo (CERN European Organ... · Oct 30, 2026
Abstract The entrepreneurial landscape is undergoing profound upheaval amidst a "poly-crisis" characterised by artificial intelligence (AI) disruption, post-pandemic economic scarring, geopolitical tensions, and climate urgency. This paper …
- Entrepreneurship Development Amidst Global Disruptions: A Critical Analysis Of Burning Issues And Emerging ParadigmsDhanyakumar Venkannavar · Zenodo (CERN European Organ... · Oct 30, 2026
Abstract The entrepreneurial landscape is undergoing profound upheaval amidst a "poly-crisis" characterised by artificial intelligence (AI) disruption, post-pandemic economic scarring, geopolitical tensions, and climate urgency. This paper …
- Homebrewed SLMs: Autoregressive and Masked Diffusion Language Models Built at Home for PortuguesePedro Carvalho Brom · arXiv · Oct 29, 2026
Building a language model of one's own no longer requires a data centre. This tutorial trains one from scratch, tokenizer included, on one consumer GPU, and shows how to tell whether it is good for the tasks of a specialist domain. It propo…
- GNN-VIEW: Visual Inspection and Explanation of Graph-based Earth-System ModelsAlessandro Lucatelli, Ferdinand Unterhuber, Katharina Krenzer, Mennatallah El-Assady et al. · arXiv · Oct 26, 2026
Machine learning Earth-system models are becoming increasingly important, and so is their development. Graph-based models, one of the most prominent approaches, allow developers to constrain the learning process before training via graph co…
- Social Media Marketing as a Catalyst for Sustainable Consumption and Circular Economy Transition: A Critical ReviewAnam Bhatti, Shamim Akhter, Zara Eman, Mariam · Foundations and Trends® in ... · Oct 25, 2026
The increasing urgency concerning climate change, resource depletion and waste generation, are pushing the world towards sustainable consumption and the circular economy. In this regard, social media marketing has become a highly potent dig…
- ARENA: Active Region attENtion Aggregation for interpretable solar flare predictionLuis Bauer, Annalena Kofler, Andrés Asensio Ramos, Aparna Venkataramanasastry et al. · arXiv · Oct 23, 2026
Predicting solar flares is a challenging space-weather forecasting problem with potentially significant impacts on Earth's upper atmosphere, including disruptions to radio communications. We propose Active Region attENtion Aggregation (AREN…
- GraphCast-Mamba: Learning Non-Markovian Corrections for Weather ForecastingIlya Vilkoviskiy, Liang-Hong Mo, Suozhi Huang, Dmitry A. Abanin · arXiv · Oct 20, 2026
Unresolved atmospheric processes can introduce history dependence beyond the short input windows used by many weather forecasting models. We introduce GraphCast--Mamba, which augments a frozen, pretrained $1^\circ$ GraphCast backbone with a…
- Kronecker Delta Rule for Long Context Linear AttentionAnamaria-Roberta Hartl, Levente Zólyomi, Michael List, Günter Klambauer et al. · arXiv · Oct 19, 2026
We propose KronLSTM, a linear attention architecture based on the Kronecker Delta Rule, a novel update rule for associative matrix memories. KronLSTM extends the xLSTM family with a memory-revision mechanism that corrects targeted associati…
- A review and evaluation of geologic CO2 storage potential in major South African Sedimentary Basins, with emphasis on opportunities, challenges, and future perspectives for climate change mitigationYinka A. Olayinka, Blessing Afolayan, Ovie Emmanuel Eruteya, Mimonitu Opuwari · Discover Energy · Oct 18, 2026
Abstract Carbon dioxide (CO 2 ) emissions from fossil fuels and industry in South Africa amounted to 401.89 million tonnes in 2023, with implications for climate change and global warming. South Africa has committed to achieving net-zero ca…
- Two decades of conservation agriculture enhances soil structure, carbon sequestration, and water retention in Mediterranean soilsJennifer Alvarez-Sagrero, Asmeret Asefaw Berhe, Stephany S. Chacon, Jeffrey P. Mitchell et al. · SOIL · Oct 16, 2026
Abstract. Conservation agriculture offers a pathway for enhancing soil health with climate co-benefits in Mediterranean agricultural systems. This study examined long-term impacts of combining no-till management with cover cropping over 20 …
- Review article: Mountain flash floods: from hazard formation to disaster risk reduction pathwaysZhenghang Chen, Meili Feng, Matthew F. Johnson, Nigel Wright et al. · Natural hazards and earth s... · Oct 16, 2026
Abstract. Flash floods in mountainous regions are becoming more frequent and destructive under climate warming, yet cross-regional understanding of their triggering mechanisms, cascading impacts, and governance remains fragmented. This revi…
- Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep LearningMinh-Khanh Luong, Chanh Kieu · Journal of Climate · Oct 14, 2026
Abstract Traditional methods for improving tropical cyclone (TC) intensity from climate model outputs or projections have primarily relied on either dynamical or statistical downscaling. With recent advances in deep learning (DL) techniques…
- Physics vs. AI in weather prediction: evaluating GraphCast, AIFS, and FuXi against an observation-corrected WRF model for flash floodsHaseeb ur Rehman, Felix Norman Teferle · Geoscientific model develop... · Oct 13, 2026
Abstract. Data-driven artificial intelligence (AI) weather models are increasingly positioned as alternatives or complements to physics-based numerical weather prediction (NWP) systems, yet systematic model evaluation studies that compare b…
- Temperate marine macrophytes are highly variable sources of Biogenic Volatile Organic Compounds – a comparative study from the Baltic Sea and NE AtlanticMax L. E. Gräfnings, Yuanyuan Luo, Jian Zhao, Claudia L. Cara-Ortega et al. · Biogeosciences · Oct 13, 2026
Abstract. Biogenic Volatile Organic Compounds (BVOC), emitted by Earth’s ecosystems, affect several chemical processes in the atmosphere that have profound climate impacts. Despite their climate relevance, global BVOC budget estimations are…
- Integrating Weather and Potato Price Market Data into AI-Driven Hybrid Models for Climate-Smart Agricultural ForecastingBikramjeet Ghose, Pramit Pandit, Chiranjit Mazumder, Soumik Ray et al. · Potato Research · Oct 12, 2026
- Forest and bioenergy expansion amplifies climate warming by accelerating regional cloud lossNanjian Liu, Zhixin Hao, Siyou Xia, Peng Zhao · Atmospheric chemistry and p... · Oct 9, 2026
Abstract. Land use and land cover change (LUCC) can exacerbate cloud-mediated climate warming. However, the long-term response of cloud cover to LUCC remains underexplored, particularly regarding differences between idealized and realistic …
- Bi-FORK: Generative Modeling of High-Dimensional Bifurcating SystemsAnna Zimmel, Fleur Hendriks, Markus Holzleitner, Florian Sestak et al. · arXiv · Oct 8, 2026
Bifurcations are ubiquitous in physical systems, from structural buckling to fluid and climate dynamics, yet they remain largely unexplored in deep learning. At a symmetry-breaking bifurcation, a single input admits multiple equally valid s…
- Learning Kilometer-Scale Weather Prediction with Global-Regional AlignmentGuowen Li, Yang Liu, Yujie Wang, Qiuyan Sun et al. · arXiv · Oct 8, 2026
Kilometer-scale regional weather forecasting is essential for local weather warnings and weather-sensitive decisions. Existing data-driven approaches often rely on numerical forecasts for large-scale guidance or require additional training …
- Populism and sustainable marketing practices: Insights from consumer-packaged goods manufacturers’ new product launchesM. Heinberg, M. Belkhouja, H.D. Yoon · Journal of the Academy of M... · Oct 8, 2026
Abstract While sustainable marketing practices have traditionally been grounded in stakeholder capitalism, the rise of anti-climate-action populism presents new challenges to firms’ sustainable strategies. Drawing on resource dependence the…
- The ECOSENSE forest: a distributed sensor and data management system for real-time monitoring of ecosystem processes and stressesJasmin Tesch, Kathrin Kühnhammer, Delon Wagner, Andreas Christen et al. · Geoscientific instrumentati... · Oct 8, 2026
Abstract. Forests provide crucial ecosystem services, but are vulnerable to climate-related physical and biological stresses, such as droughts, pests and pathogens. The rapid climate change currently observed increases the pressure on fores…
- Technical note: How well do evapotranspiration partitioning approaches perform in moss-covered wetlands?Yi Wang, Richard Michael Petrone, Lei Zhang · Biogeosciences · Oct 8, 2026
Abstract. Evapotranspiration (ET) is the dominant hydrologic flux in wetlands, and partitioning into transpiration (T) and evaporation (E) is essential for understanding water and carbon dynamics, guiding sustainable water management practi…
- Antarctic sea ice over the past 130 000 years – Part 2: A review of its role in the Earth systemZanna Chase, Karen Elizabeth Kohfeld, Amy R. Leventer, David Lund et al. · Climate of the past · Oct 8, 2026
Abstract. Antarctic sea-ice cover reached historically low levels in 2023, consistent with the simulated decrease in sea-ice extent in response to anthropogenic warming. Antarctic sea ice is closely linked to multiple components of the Eart…
- Decoupling Exploration from Optimization in RLVRSaif Punjwani, Micah Goldblum · arXiv · Oct 7, 2026
Modern language models undergo reinforcement learning with verifiable rewards (RLVR) on top of already-trained checkpoints. A key promise of RLVR is the discovery of new reasoning strategies. In principle, a model can sample novel ideas abs…
- SciExam for ENSO: Can AI Agents Build Climate Models?Yinling Zhang, Langchen Liu, Dongbin Xiu, Xueyan Zou et al. · arXiv · Oct 7, 2026
Language-model agents are increasingly asked to carry out open-ended scientific research, yet their results are usually graded against a known answer, a rubric, or a language-model reviewer, none of which can tell whether a new scientific m…
- Conditional Flow Matching for Generation of 3D Multi-variable Instantaneous Urban Microclimate FieldsPeng Liu, Shaoxiang Qin, Theodore Potsis, Lili Ji et al. · arXiv · Oct 7, 2026
Rapid and accurate prediction of urban wind and temperature fields is important for urban microclimate design and climate adaptation. Large-eddy simulation (LES) effectively resolves these instantaneous fields, but its application is limite…
- Non-stationary time series attribution for heatwaves over EuropePascal Meurer, Sebastian Buschow, Svenja Szemkus, Petra Friederichs · Advances in statistical cli... · Oct 7, 2026
The increasing occurrence of extreme weather events since the beginning of the 21st century has led to the development of new methods to attribute extreme events to anthropogenic climate change. The way in which the extreme event is defined…
- Agriculture–urban interfaces, social vulnerability and climate change shape West Nile virus risk across the United StatesSamantha B. Sambado, Váleri N. Vasquez, Mauricio Cruz-Loya, Johannah E. Farner et al. · Biology Letters · Oct 7, 2026
Abstract Climate and land use change are reshaping the dynamics of vector-borne diseases. West Nile virus (WNV), the most widespread zoonotic arbovirus in the United States, illustrates the need to integrate climate, land cover and social v…
- Ecological responses of soil bacteria to rapid and slow temperature fluctuationsXin‐Feng Zhao, Yu-Chen Qiu, Lin Li, Chang Yang et al. · Proceedings of the Royal So... · Oct 7, 2026
Abstract Fluctuating temperatures profoundly affect microorganisms’ coexistence, biogeographic distributions and responses to future climate change. However, how microorganisms respond to fluctuating temperatures with different frequencies …
- Steering Diffusion Models to Rare Events with Sequential Monte CarloAavash Subedi, Tim Reichelt, Christopher Williams, Philip Stier et al. · arXiv · Oct 6, 2026
Diffusion models are increasingly used as surrogates for expensive simulators in weather prediction, molecular dynamics, and materials design. In these models, computing the probability $p_0[E]$ of an event $E$ is difficult, especially when…