ThousandWorlds supplies an ML-ready benchmark of ~1800 multi-GCM exoplanet simulations with three nested challenge levels and two evaluation protocols.
and Scher, Sebastian and Weyn, Jonathan A
6 Pith papers cite this work. Polarity classification is still indexing.
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2026 6representative citing papers
PhysMetrics.Weather is an evaluation framework that quantifies physical realism of ML weather prediction models using conservation, spectral, and dynamical metrics.
A multi-task Patch-cGAN with lightning-derived spatial loss weighting improves post-processed forecasts of intense precipitation and lightning occurrence over the Korean Peninsula in summer 2025.
PhysiBench is a benchmark resource consisting of 612 executable intracellular Boolean network variants and 120,000 time-resolved multiscale simulations generated from seven published networks via mutation, filtering, and sensitivity analysis.
Upgrades to WeatherGFT PCNNs with WENO-5 solver, unified autoregressive block, and two new neural backbones yield 8-22% lower RMSE at 1-12 h leads on WeatherBench South Pacific data while improving physical consistency.
GraphCast shows regime-dependent skill versus ECMWF HRES in Brazil, underperforming on winter baroclinic systems in medium range but gaining in extended range and summer moisture transport.
citing papers explorer
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ThousandWorlds: A benchmark for climate emulation of potentially habitable exoplanets
ThousandWorlds supplies an ML-ready benchmark of ~1800 multi-GCM exoplanet simulations with three nested challenge levels and two evaluation protocols.
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PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models
PhysMetrics.Weather is an evaluation framework that quantifies physical realism of ML weather prediction models using conservation, spectral, and dynamical metrics.
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Event-Aware Loss Design for Forecasting of Convective Precipitation and Lightning
A multi-task Patch-cGAN with lightning-derived spatial loss weighting improves post-processed forecasts of intense precipitation and lightning occurrence over the Korean Peninsula in summer 2025.
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A benchmark suite of intracellular Boolean model variants and multiscale simulations for computational biology
PhysiBench is a benchmark resource consisting of 612 executable intracellular Boolean network variants and 120,000 time-resolved multiscale simulations generated from seven published networks via mutation, filtering, and sensitivity analysis.
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Physics-Constrained Neural Networks for Improved Short-Term Weather Forecasting: A Case Study over the South Pacific
Upgrades to WeatherGFT PCNNs with WENO-5 solver, unified autoregressive block, and two new neural backbones yield 8-22% lower RMSE at 1-12 h leads on WeatherBench South Pacific data while improving physical consistency.
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Performance Evaluation of GraphCast for Medium-Range Weather Forecasting over Brazil
GraphCast shows regime-dependent skill versus ECMWF HRES in Brazil, underperforming on winter baroclinic systems in medium range but gaining in extended range and summer moisture transport.