activity
20172026
most citedDeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution

38 citations · 49 across the 25 of their papers we have counts for

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Showing stat.APShow all

6 papers · 1 filter

stat.AP2025

Carbon Cycle Extremes Accelerate Weakening of the Land Carbon Sink in the Late 21st Century

Bharat Sharma, Jitendra Kumar, Auroop R. Ganguly +1

Increasing surface temperature could lead to enhanced evaporation, reduced soil moisture availability, and more frequent droughts and heat waves. The spatiotemporal co-occurrence o…

stat.AP2025

Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes

Bharat Sharma, Jitendra Kumar, Auroop R. Ganguly +1

Rising atmospheric carbon dioxide due to human activities through fossil fuel emissions and land use changes have increased climate extremes such as heat waves and droughts that ha…

stat.AP2022

Robust Causality and False Attribution in Data-Driven Earth Science Discoveries

Elizabeth Eldhose, Tejasvi Chauhan, Vikram Chandel +2

Causal and attribution studies are essential for earth scientific discoveries and critical for informing climate, ecology, and water policies. However, the current generation of me…

stat.AP2020

Mega Regional Heat Patterns in US Urban Corridors

Babak Jalalzadeh Fard, Udit Bhatia, Auroop R. Ganguly

Current literature suggests that urban heat-islands and their consequences are intensifying under climate change and urbanization. Here we explore the relatively unexplored hypothe…

stat.AP2018

Precipitation extremes and depth-duration-frequency under internal climate variability

Udit Bhatia, Auroop Ratan Ganguly

Natural climate variability, captured through multiple initial condition ensembles, may be comparable to the variability caused by knowledge gaps in future emissions trajectories a…

stat.AP2017

Physics-guided probabilistic modeling of extreme precipitation under climate change

Evan Kodra, Singdhansu Chatterjee, Stone Chen +1

Earth System Models (ESMs) are the state of the art for projecting the effects of climate change. However, longstanding uncertainties in their ability to simulate regional and loca…