Climate Science

Ask about this topic

Momentum

5 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 49

All topics
CardsList

  1. Generative climate downscaling enables high-resolution compound risk assessment by preserving multivariate dependencies

    May 12, 2026Takuro Kutsuna, Noriko N. Ishizaki, Norihiro Oyama +1Climate ScienceClimate Modeling

    Toyota Central R&D Labs., Inc. · National Institute for Environmental Studies

  2. Towards accurate extreme event likelihoods from diffusion model climate emulators

    May 5, 2026Peter Manshausen, Noah Brenowitz, Julius Berner +2Diffusion Model GuidanceClimate Science

    NVIDIA, Santa Clara, CA, USA

  3. Toward a Scientific Discovery Engine for Weather and Climate Data: A Visual Analytics Workbench for Embedding-Based Exploration

    May 1, 2026Nihanth W. Cherukuru, Matt Rehme, Kirsten J. Mayer +4Scientific VisualizationData Visualization

    NSF National Center for Atmospheric Research, Boulder, Colorado USA

  4. M-CaStLe: Uncovering Local Causal Structures in Multivariate Space-Time Gridded Data

    May 1, 2026J. Jake Nichol, Michael Weylandt, G. Matthew Fricke +2Time-Series Causal DiscoveryClimate Science

    Scientific Machine Learning, Center for Computing Research Sandia National Laboratories · Zicklin School of Business Baruch College, CUNY · Department of Computer Science University of New Mexico +2

  5. Conditional Flow Matching for Probabilistic Downscaling of Maximum 3-day Snowfall in Alaska

    Apr 28, 2026Douglas Brinkerhoff, Elizabeth FischerUncertainty QuantificationClimate Science

    Department of Computer Science, University of Montana · International Arctic Research Center, University of Alaska

  6. A Differentiable Framework for Global Circulation Model Precipitation Bias Correction

    Apr 24, 2026Kamlesh Sawadekar, Seth McGinnis, Peijun Li +2Climate ScienceClimate Modeling

    Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, Pennsylvania · Computational & Information Systems Laboratory, National Center for Atmospheric Research, Boulder, Colorado 80307

  7. Deep Clustering for Climate: Analyzing Teleconnections through Learned Categorical States

    Apr 24, 2026Lívia Meinhardt, Dário OliveiraRepresentation LearningTime Series Classification

    FGV EMAp

  8. climt-paraformer: Stable Emulation of Convective Parameterization using a Temporal Memory-aware Transformer

    Apr 22, 2026Shuochen Wang, Nishant Yadav, Joy Merwin Monteiro +1Neural Surrogate ModelingClimate Science

    Sustainability and Data Sciences Laboratory, Northeastern University · Microsoft · Indian Institute of Science Education and Research Pune +2

  9. Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting

    Apr 20, 2026Firat Ozdemir, Yun Cheng, Salman Mohebi +11Geospatial Foundation ModelsClimate Science

    Swiss Data Science Center (SDSC), ETH Zurich & EPFL, Zurich & Lausanne, Switzerland · ETH AI Center, ETH Zurich, Zurich, Switzerland · ETH Zurich, Zurich, Switzerland +1

  10. ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis

    Apr 18, 2026Hao Wang, Jindong Han, Wei Fan +1AI Agents for Scientific DiscoveryClimate Science

    1The Hong Kong University of Science and Technology (Guangzhou) · 3Shandong University · University of Auckland +1

  11. Global Attention with Linear Complexity for Exascale Generative Data Assimilation in Earth System Prediction

    Apr 17, 2026Xiao Wang, Zezhong Zhang, Isaac Lyngaas +10Climate ScienceHigh-Performance Computing

    Oak Ridge National Laboratory, Oak Ridge, TN, USA · Auburn University, Auburn, AL, USA · Florida State University, Tallahassee, FL, USA +2

  12. ClimateCause: Complex and Implicit Causal Structures in Climate Reports

    Apr 16, 2026Liesbeth Allein, Nataly Pineda-Castañeda, Andrea Rocci +1Relation ExtractionClimate Science

    Department of Computer Science, KU Leuven, Belgium · Institute of Argumentation, Linguistics, and Semiotics (IALS), Universit`a della Svizzera italiana, Switzerland

  13. How Can Machine Learning Emulators Best Support Climate Science?

    Mar 20, 2026Luca Schmidt, Nina Effenberger, Vitus Benson +5Surrogate ModelingClimate Science

    Institute for Atmospheric and Climate Science ETH Zurich · Seminar for Statistics ETH Zurich

  14. Animating Petascale Time-varying Data on Commodity Hardware with LLM-assisted Scripting

    Mar 7, 2026Ishrat Jahan Eliza, Xuan Huang, Aashish Panta +4Scientific VisualizationData Visualization

    University of Utah · Vanderbilt University · ViSOAR LLC

  15. High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator

    Feb 13, 2026Haiwen Guan, Dibyajyoti Chakraborty, Moein Darman +3Climate ScienceClimate Modeling

    1Information Sciences and Technology, The Pennsylvania State University, University Park, Pennsylvania · Department of Applied Mathematics, University of California, Santa Cruz, California · 3Allen Institute for Artificial Intelligence (AI2), Seattle, Washington +1

  16. Symmetric Composition of Anisotropic Operators for Global Subseasonal-to-Seasonal Climate Forecasting

    Feb 4, 2026Ziyu Zhou, Yuchen Fang, Weilin Ruan +4Climate ScienceTime Series Forecasting

    The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China · DAMO Academy, Alibaba Group, Hangzhou, China · The Hong Kong University of Science and Technology, Hong Kong SAR, China

  17. CLIMATEAGENT: Multi-Agent Orchestration for Complex Climate Data Science Workflows

    Nov 25, 2025Chenyue Li, Hyeonjae Kim, Wen Deng +4AI for ScienceMulti-Agent Orchestration

    1The Hong Kong University of Science and Technology

  18. Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM

    Oct 9, 2025Oskar Bohn Lassen, Serio Angelo Maria Agriesti, Filipe Rodrigues +2Neural Surrogate ModelingSurrogate Modeling

    Technical University of Denmark Kongens Lyngby, Denmark

  19. ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching

    Sep 19, 2025Graham Clyne, Guillaume Couairon, Guillaume Gastineau +2Neural Surrogate ModelingClimate Science

    ARCHES, INRIA, Paris, France · UMR LOCEAN, IPSL, Sorbonne Universit´e, IRD, CNRS, MNHN, Paris, France · Department of Computer Science, University of Colorado Boulder, USA