JN
Juan Nathaniel
cs.LGnlin.CDphysics.ao-phApplied StatisticsAtmospheric Sciencescs.AIcs.CVcs.CYphysics.flu-dynPlanetary Geophysics and Seismology
On Valency
published · living versionsW_vvv7vm74·v1 · currentpublished
Koopman early warning signals for bifurcation and rate-induced tipping
with Carla Roesch, Derek DeSantis, Parvathi Kooloth, Hang Fan +3
1 version
Preprints & journals
12 papers in the corpus · 2020–2026Koopman early warning signals for bifurcation and rate-induced tipping2608.14716v1 · Juan Nathaniel, Carla Roesch, Derek DeSantis et al.2026 · 0 citationsarXivon Valency
Wavelet Flow Matching for Multi-Scale Physics Emulation2605.16573v1 · Gabriele Accarino, Juan Nathaniel, Carla Roesch et al.2026 · 0 citationsarXiv
In-context learning to predict critical transitions in dynamical systems2605.12308v1 · Yunus Sevinchan, Juan Nathaniel, Kai Ueltzhoffer et al.2026 · 0 citationsarXiv
Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space with Uncertainty Quantification2603.04395v1 · Hang Fan, Juan Nathaniel, Yi Xiao et al.2026 · 0 citationsarXiv
Learning more physically realistic dynamics in machine-learning based weather forecasting with latent-space constraints2510.04006v2 · Hang Fan, Yi Xiao, Yongquan Qu et al.2025 · 0 citationsarXiv
CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models2505.16620v2 · Benjamin Herdeanu, Juan Nathaniel, Carla Roesch et al.2025 · 0 citationsarXiv
Deep Koopman operator framework for causal discovery in nonlinear dynamical systems2505.14828v1 · Juan Nathaniel, Carla Roesch, Jatan Buch et al.2025 · 0 citationsarXiv
Author Correction: Spatiotemporal upscaling of sparse air-sea pCO2 data via physics-informed transfer learning.39706864 · Kim, Siyeon, Nathaniel, Juan, Hou, Zhewen et al.2025 · 0 citationsScientific data. 2024;11(1):1413
Spatiotemporal upscaling of sparse air-sea pCO2 data via physics-informed transfer learning.39379395 · Kim, Siyeon, Nathaniel, Juan, Hou, Zhewen et al.2024 · 5 citationsScientific data. 2024;11(1):1098
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction2402.00712v5 · Juan Nathaniel, Yongquan Qu, Tung Nguyen et al.2024 · 7 citationsarXiv
MetaFlux: Meta-learning global carbon fluxes from sparse spatiotemporal observations.37433802 · Nathaniel, Juan, Liu, Jiangong, Gentine, Pierre2023 · 32 citationsScientific data. 2023;10(1):440
Bias correction of global climate model using machine learning algorithms to determine meteorological variables in different tropical climates of Indonesiax5w59m · Juan Nathaniel2020 · 5 citationsEarthArXiv
Career total: at least 23 works. 12 are in this corpus.
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