5 papers
AFDBench: A Reasoning-First AI Scientist for NationalWeather Service Forecast Discussions
Manmeet Singh, Somnath Luitel, Prabhjot Singh +3
Large language models (LLMs) hallucinate numerical values when generating high-stakes meteorological text, posing risks for weather communication. We present AFDBench, an AI meteor…
FIRSTPASS: A Multi-Domain, Multi-Round Peer Review Dataset Grounded in Real Editorial Outcomes
Prabhjot Singh, Somnath Luitel, Manmeet Singh +1
Scientific peer review datasets have trained AI systems exclusively on Computer Science and Machine Learning venues, producing models that critique ablation studies yet have never…
GraphCast Skill and Systematic Biases in Indian Summer Monsoon Forecasts: Evaluation Against ERA5 and IMERG
Somnath Luitel, Parthasarathi Mukhopadhyay, Manmeet Singh +2
The Indian Summer Monsoon (ISM) is one of the most dynamically complex components of the global climate system, yet its accurate prediction remains challenging for both physics-bas…
FirstPass: Grounding AI Scientific Judgment in Multi-Round Editorial Outcomes
Prabhjot Singh, Somnath Luitel, Manmeet Singh +1
AI systems for peer review fail on three fronts: they train on Computer Science and Machine Learning venues alone, ignore the iterative dialogue that validates science, and evaluat…
AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion
Somnath Luitel, Manmeet Singh, Joshua Durkee +11
Operational weather prediction at kilometer scales remains computationally prohibitive for traditional numerical weather prediction (NWP) models, limiting forecast access for appli…