3 papers
stat.ML2025
Modeling Spatial Extremes using Non-Gaussian Spatial Autoregressive Models via Convolutional Neural Networks
Sweta Rai, Douglas W. Nychka, Soutir Bandyopadhyay
Data derived from remote sensing or numerical simulations often have a regular gridded structure and are large in volume, making it challenging to find accurate spatial models that…
stat.AP2024
Adapting Quantile Mapping to Bias Correct Solar Radiation Data
Maggie D. Bailey, Douglas W. Nychka, Manajit Sengupta +1
Bias correction is a common pre-processing step applied to climate model data before it is used for further analysis. This article introduces an efficient adaptation of a well-esta…
stat.AP2024
Temporal and spatial downscaling for solar radiation
Maggie Bailey, Doug Nychka, Manajit Sengupta +2
Global and regional climate model projections are useful for gauging future patterns of climate variables, including solar radiation, but data from these models is often too coarse…