14 papers
Nonuniform and inequitable healthcare accessibility losses during flooding-amplified congestion across US cities
Raviraj Dave, Danish Mansoor Tantary, Dongqin Zhou +2
Cities in the United States and worldwide concentrate populations with diverse incomes, demographics and health risks, making access to healthcare facilities and emergency services…
Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift
Shuochen Wang, Nishant Yadav, Auroop R. Ganguly
Deep-learning-based climate downscaling aims to learn relationships from historical low-resolution (LR) and high-resolution (HR) climate data to generate HR climate projections. Ho…
Intercomparison of Machine Learning Algorithms for Remote Sensing-based In-season Crop Mapping
August Posch, Jitendra Kumar, Forrest M. Hoffman +1
In-season crop type mapping is critical for food security in the face of increasingly extreme climate-related threats to crops. Currently, the USDA Cropland Data Layer provides cro…
Learning Transferable Predictability Representations
Diyali Goswami, Auroop R. Ganguly
We study the problem of assigning a scalar score to a short trajectory window that reflects its position on an ordered continuum of predictability regimes, spanning structured dete…
climt-paraformer: Stable Emulation of Convective Parameterization using a Temporal Memory-aware Transformer
Shuochen Wang, Nishant Yadav, Joy Merwin Monteiro +1
Accurate representation of moist convective sub-grid-scale processes remains a major challenge in global climate models, as traditional parameterization schemes are both computatio…
MAUNet-Light: A Concise MAUNet Architecture for Bias Correction and Downscaling of Precipitation Estimates
Sumanta Chandra Mishra Sharma, Adway Mitra, Auroop Ratan Ganguly
Satellite-derived data products and climate model simulations of geophysical variables like precipitation, often exhibit systematic biases compared to in-situ measurements. Bias co…