El Niño southern oscillation
PulseAugur coverage of El Niño southern oscillation — every cluster mentioning El Niño southern oscillation across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI agents build valid climate models in new ENSO benchmark
The AI Science Exam for El Nino-Southern Oscillation (SciExam for ENSO) is a new benchmark designed to evaluate language-model agents' ability to conduct open-ended scientific research and build valid climate models. Ag…
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AI advances in weather and climate prediction show promise
Recent research explores the application of artificial intelligence in climate and weather prediction. One study details how deep learning models are advancing weather forecasting and their potential extension to climat…
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New adaptive model enhances chaotic time series forecasting
Researchers have developed a new Adaptive Nonlinear Vector Autoregression (NVAR) model that improves forecasting for noisy and chaotic time series data. This model combines linear inputs with features generated by a tra…
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Enso emerges as potential unicorn with AI-driven go-to-market strategy
Enso, a company focused on agentic go-to-market strategies, is reportedly on track to become a unicorn. The company leverages AI to enhance its go-to-market approach, aiming to achieve significant growth and valuation.
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AI model Neptune developed for 60-day global ocean predictions
Researchers have developed Neptune, a novel AI model designed for global ocean subseasonal prediction, capable of forecasting up to 60 days. This data-driven framework combines Convolutional Neural Networks (CNNs) and S…
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New Connected Subspace Clustering Method Addresses Geodesy Challenges
Researchers have introduced Connected Subspace Clustering, a novel method for partitioning high-dimensional data into physically coherent groups. This approach is particularly useful in scientific domains like geodesy, …
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New stochastic emulator for E3SMv3 climate model shows high fidelity
Researchers have developed a stochastic emulator for the E3SMv3 climate model, named SamudrACE, which couples an atmosphere emulator (ACE2S) with a full-depth ocean emulator (Samudra). This new system, trained on 105 ye…
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New framework creates physics-constrained AI models for turbulent systems
Researchers have developed a new framework for creating data-driven reduced-order models of turbulent dynamical systems. This framework utilizes neural networks to ensure physics constraints, specifically energy conserv…
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Quantum-Classical Hybrid Models Tackle Time-Series Forecasting on NISQ Hardware
Researchers have developed new quantum-classical hybrid frameworks for multivariate time-series forecasting, designed to operate on near-term noisy intermediate-scale quantum (NISQ) hardware. These frameworks, including…
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Tsinghua University AI Model UniCM Extends ENSO Prediction to 19 Months
Researchers from Tsinghua University, led by Professor Li Yong, have developed a unified AI model called UniCM to understand the coupled dynamics of global climate modes. This model simultaneously learns how physical fi…
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El Niño Returns, Poised to Be One of the Strongest on Record
The US National Oceanic and Atmospheric Administration (NOAA) has officially announced the return of El Niño, a climate pattern known for causing extreme weather events. Scientists anticipate this El Niño could be one o…
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Scientists find unexplained east-west Earth albedo symmetry
Scientists have identified an unexplained "triple symmetry" in Earth's albedo, which is its capacity to reflect sunlight. This phenomenon, distinct from the known north-south symmetry, reveals a persistent east-west div…
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M-CaStLe advances causal discovery for multivariate space-time systems
Researchers have introduced M-CaStLe, an advancement of the CaStLe meta-algorithm designed for discovering causal structures in complex multivariate space-time gridded data. This new method extends previous univariate c…