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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- Beyond Algorithmic Detection: How Community Expertise Moderates Toxic Algospeak via Dual Cognitive MechanismsNitin Agarwal, Tope Falade · Journal of the Association ... · Aug 15, 2026
Toxic algospeak- coded language conveying harm while evading detection-enables hate speech to bypass content moderation. This paper investigates how audience expertise moderates algospeak effectiveness through dual cognitive mechanisms. Ana…
- Bridging Skill Gaps in Karnataka: Integrating Artificial Intelligence, Green Economy, and Inclusive Career Pathways for Socio-Economic TransformationDr. Asma Anjum Nadaf · Zenodo (CERN European Organ... · Aug 9, 2026
The rapid advancement of Artificial Intelligence (AI), digital transformation, and climate-driven economic restructuring is redefining workforce dynamics across India. Karnataka, as a leading technology-driven state, faces both unprecedente…
- Bridging Skill Gaps in Karnataka: Integrating Artificial Intelligence, Green Economy, and Inclusive Career Pathways for Socio-Economic TransformationDr. Asma Anjum Nadaf · Zenodo (CERN European Organ... · Aug 9, 2026
The rapid advancement of Artificial Intelligence (AI), digital transformation, and climate-driven economic restructuring is redefining workforce dynamics across India. Karnataka, as a leading technology-driven state, faces both unprecedente…
- Climate-resilient electric vehicle charging infrastructure for sustainable cities: An interpretable causal-ensemble framework for preventive maintenance and low-carbon mobilityCande Lian, Wentao Zeng, Jiabin Wu, Yiming Bie et al. · arXiv · Jul 23, 2026
Reliable electric vehicle (EV) charging infrastructure is a cornerstone of sustainable, low-carbon cities, yet urban climate stress such as extreme heat, heavy precipitation, and humidity increasingly raises equipment fault risk and undermi…
- Smart Farming Based On Ai-Based Crops PredictionsHemlata, Jaishree Goyal, Manoj Pal · Zenodo (CERN European Organ... · Jul 20, 2026
Agriculture plays a crucial role in the economic development and food security of India. Predictable climate, soil variability, excessive fertilizer usage, and a lack of data-driven decision support systems often pose significant challenges…
- From AI to EI: Towards an ‘Environmental Intelligence’R Carter · Journal of International Cr... · Jul 18, 2026
Highly critical readings of generative ‘AI’ technologies are presently widespread across the humanities and social sciences. Many critiques invoke not only the social harms precipitated, but also the environmental impacts of rapidly growing…
- Agricultural Extension Sustainability in the Face of the COVID-19 Pandemic in Smallholder Markets: A Structured ReviewEnock Siankwilimba, S. E. Mwaanga, Joshua Munkombwe, Chisoni Mumba et al. · International Journal for R... · Jul 17, 2026
Purpose. The COVID-19 pandemic placed severe strain on agricultural extension and advisory services, particularly for the smallholder farmers who form the backbone of food production in sub-Saharan Africa. Treating the pandemic as one insta…
- AI and Multi-Omics for Climate-Resilient Remediation of Heavy Metal Soil ToxicityIsma Gul, Muhammad Adil, Siqi Lu, Safdar Bashir et al. · Water Air & Soil Pollution · Jul 15, 2026
- Robustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable AnalysisDandan Chen, Yan Zhao, Xuepeng Chen · arXiv · Jul 14, 2026
Engineering use of AI forecasting models requires not only high nominal accuracy but also predictable behavior under uncertain inputs. In photovoltaic (PV) forecasting, this requirement is especially challenging because numerical weather pr…
- Mapping global innovations in GenAI for smart cities and implications for AfricaF.H. Abanda, N.B. Maluh, Baba A., I.A. Newen et al. · Urbanization, sustainabilit... · Jul 11, 2026
Purpose The study aims to examine how generative artificial intelligence (GenAI) is reshaping smart city development globally and evaluate its implications for Africa. It addresses the gap in understanding how GenAI-driven innovations can t…
- TINJAUAN INTEGRASI MACHINE LEARNING/DEEP LEARNING DAN DATA SPASIAL RESOLUSI TINGGI - SANGAT TINGGI UNTUK PENLIAIAN JASA EKOSISTEM AKIBAT PERUBAHAN IKLIMLaode Rustam · Jurnal Celebica Jurnal Kehu... · Jul 10, 2026
Global climate change and anthropogenic pressures induce massive degradation on the stability of Ecosystem Services (ES). The inherent limitations of conventional remote sensing in resolving mixed pixel biases across heterogeneous landscape…
- TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific ScenariosHong Lyu, Mingru Yang, Qianhua He, Yanxiong Li et al. · arXiv · Jul 7, 2026
There are some datasets of varying scales for audio classification (AC) applied to different tasks. However, annotated data is limited for most scenarios, such as domestic environments. To address this challenge, we propose an $\textbf{A}$u…
- AI pilot zones and urban climate resilience: evidence from ChinaLi Li, Yifan Zheng, Shaojun Ma, Zijian Guo et al. · Environment Development and... · Jul 7, 2026
- Exploring the Antecedents and Consequences of AI-Induced Silence from the Perspective of Social Influence TheoryGuan-Hong Liu, Wenfeng Su, Gary Yu-Ho Yeh, Jack Hsu et al. · Journal of the Association ... · Jul 5, 2026
This study examines how generative artificial intelligence (GenAI) influences communication behaviors in team decision-making contexts. Drawing on Social Influence Theory, we conceptualize AI-induced silence as reduced expressive engagement…
- Implications of the climate transition on employment, skills, and training in BelgiumVadim Lacroix, Quentin Jossen, Sophie Bourdieu, Pascal Vermeulen et al. · Lirias (KU Leuven) · Jun 30, 2026
status: Published...
- Hedgementation = Hedgerow Segmentation: A Remote Sensing BenchmarkNathan Senyard, Salem Hamdani, Astrid Zhang, Derek Wang et al. · arXiv · Jun 22, 2026
We propose Hedgementation: a new benchmark to evaluate machine learning models for hedgerow mapping from remote sensing data at country scale and 10m$^2$ spatial resolution. We combine and harmonize multiple remote sensing data products and…
- Scaling Linear Mode Connectivity and Merging to Billion Parameter Pretrained TransformersTianyi Li, Zhiqiang Shen · arXiv · Jun 22, 2026
Linear mode connectivity (LMC) provides a promising foundation for understanding and merging independently trained neural networks, but existing methods typically optimize the interpolation path from only one model endpoint, limiting their …
- Optimal scenario design for climate emulationChristopher B. Womack, Shahine Bouabid, Andrei Sokolov, Popat Salunke et al. · arXiv · Jun 17, 2026
As deep learning for physical systems continues to grow in popularity, efforts to improve generalizability have primarily focused on designing architectures that embed physical constraints. However, for machine-learning surrogate climate mo…
- Large Language Models And The Measurement Of Climate Disclosure: Evidence From Tcfd ConformityAbdullah Albizri, Ahmad Jumah · Journal of the Association ... · Jun 15, 2026
Sustainability reports are increasingly used to communicate firms' environmental commitments, yet measuring the quality of these disclosures remains difficult.Existing approaches often rely on manual coding or proprietary ESG ratings, both …
- Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding TasksMengyu Zheng, Kai Han, Boxun Li, Haiyang Xu et al. · arXiv · Jun 10, 2026
General-purpose agents such as OpenClaw are increasingly used as autonomous tool users, but their coding ability is difficult to measure under SWE-bench: a generic agent does not by itself satisfy the clean Docker workspace, patch, and pred…
- OncoTraj: a public benchmark for longitudinal resistance prediction in EGFR-mutant non-small-cell lung cancer on osimertinibAbhijoy Sarkar, Aarchi Singh Thakur · arXiv · Jun 9, 2026
Resistance to first-line osimertinib in EGFR-mutant non-small-cell lung cancer (NSCLC) is the canonical example of predictable clonal evolution under therapeutic pressure, yet no public benchmark exists for training or evaluating computatio…
- CLARITY: Responsible AI for Climate-Linked Neuro-Health and Economic Risk in Vulnerable WorkersIRENE NOMIKOU-LAZAROU, Nikoletta Triantopoulou · Greeks in AI 2026 Poster · Jun 2, 2026
CLARITY is an interdisciplinary Responsible AI framework that explores how climate-health AI systems can be operationalized in real-world institutional settings to support vulnerable worker populations during periods of elevated heat exposu…
- Artificial intelligence to support cross-disciplinary climate change research[object Object], [object Object], [object Object], [object Object] et al. · Nature Climate Change · Apr 28, 2026
Integrating knowledge across climate risks, societal responses and their interactions is a critical yet persistently challenging goal. We argue that advanced artificial intelligence frameworks, specifically foundation models, offer a new op…
- The impact of Climate Adaptive Pilot Cities policy on urban pollution reduction and carbon emission mitigationXin Wang, Mengyu Wang, Jiahan Hu, Hao Hu et al. · Frontiers in Public Health · Apr 10, 2026
Mitigation and adaptation are recognized as essential pillars for urban sustainability; however, the degree to which adaptation oriented policies contribute to broader environmental improvements remains an unresolved empirical question. Thi…
- Transformação digital na educação básica frente à emergência climática: um estudo de caso com a plataforma Climate AI SBNMarco Aurélio Schünke, Tatiane Braga dos Reis, Rodrigo De Cássio da Silva, Dante Augusto Couto Barone · Peer Review · Mar 24, 2026
Em um cenário marcado pela intensificação dos desafios socioambientais no Brasil, este artigo discute a integração de tecnologias digitais na educação básica como estratégia para enfrentar a emergência climática, apresentando um estudo de c…
- When algorithms decide the climate: AI, disinformation, and the crisis of environmental truth in the AnthropoceneD. Vidal · PLOS Climate · Jan 16, 2026
- AI-Driven Climate Policy Scenario Generation for Sub-Saharan Africa[object Object], [object Object] · CoRR 2025 · Dec 31, 2025
Climate policy scenario generation and evaluation have traditionally relied on integrated assessment models (IAMs) and expert-driven qualitative analysis. These methods enable stakeholders, such as policymakers and researchers, to anticipat…
- AI, Climate, and Transparency: Operationalizing and Improving the AI ActNicolas Alder, Kai Ebert, Ralf Herbrich, Philipp Hacker · RegML 2025 Poster · Sep 23, 2025
This paper critically examines the AI Act’s provisions on climate-related transparency, highlighting significant gaps and challenges in its implementation. We identify key shortcomings, including the exclusion of energy consumption during A…
- Climate-Resilient Crops: Integrating AI, Multi-Omics, and Advanced Phenotyping to Address Global Agricultural and Societal ChallengesDoni Thingujam, S. Gouli, S. Cooray, Katie Busch Chandran et al. · Plants · Aug 29, 2025
Drought and excess ambient temperature intensify abiotic and biotic stresses on agriculture, threatening food security and economic stability. The development of climate-resilient crops is crucial for sustainable, efficient farming. This re…
- On-device AI for climate-resilient farming with intelligent crop yield prediction using lightweight models on smart agricultural devicesRajesh Kumar Dhanaraj, M. Maragatharajan, Aanjankumar Sureshkumar, S. P. Balakannan · Scientific Reports · Aug 25, 2025
In Recent time, with the utilization of Artificial Intelligence (AI), AI applications have proliferated across various domains where agricultural consumer electronics are no exception. These innovations have significantly enhanced the intel…