1 citations · 1 across the 6 of their papers we have counts for
8 papers
Dynamical-Model-Informed Stochastic Flow Matching for Global Probabilistic Subseasonal Forecasting of Means and Extremes
Abdullah A. Fahad, Manmeet Singh
Physics-based models provide skillful subseasonal forecasts but suffer from systematic biases, weakened teleconnections, and parameterized physics, while very large ensembles remai…
Steering Diffusion Priors with Sparse Observations for High-Resolution Temperature Downscaling
Anirudh Avireddy, Manmeet Singh, Shivanshi Singh +4
Local heatwave hazard depends on fine-scale air temperature, but ground stations are sparse and reanalysis products such as ERA5 cannot resolve the terrain and land-surface contras…
A Physics--ML Multi-Fidelity Strategy for Earth System Model Parameter Optimization: A QG Proof-of-Concept
Abdullah A. Fahad, Manmeet Singh, Donifan Barahona +2
Earth System Models rely on tunable subgrid-scale parameterizations, but optimizing these parameters is computationally expensive, particularly when nonlinear interactions require…
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…
Aircast-Mars: A Mars Foundation Model for Global Weather Forecasting with HEALPix-Aware Convolutions
Manmeet Singh, Saptarishi Dhanuka, Naveen Sudharsan +3
Foundation models for planetary atmospheres promise fast, lightweight surrogates of expensive general circulation models (GCMs) for mission planning and scientific inquiry. Here we…
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…
Exploring the design space of diffusion and flow models for data fusion
Niraj Chaudhari, Manmeet Singh, Naveen Sudharsan +4
Data fusion is an essential task in various domains, enabling the integration of multi-source information to enhance data quality and insights. One key application is in satellite…
EpiClim: Weekly District-Wise all-India multi-epidemics Climate-Health Dataset for accelerated GeoHealth research
Gurleen Kaur, Shubham Ghoshal, Reena Marbate +5
Climate change significantly impacts public health, driving the emergence and spread of epidemics. Climate health models are essential for assessing and predicting disease outbreak…