Deeksha Rastogi Research Scientist Contact 865.341.0479 | RASTOGID@ORNL.GOV All Publications Complementing Dynamical Downscaling With Super-Resolution Convolutional Neural Networks Cities are Concentrators of Complex, MultiSectoral Interactions within the Human-Earth System Changes in four decades of near-CONUS tropical cyclones in an ensemble of 12km thermodynamic global warming simulations Environmental determinants of health: Measuring multiple physical environmental exposures at the United States census tract level Thermal, water, and land cover factors led to contrasting urban and rural vegetation resilience to extreme hot months Historical evaluation and future projections of compound heatwave and drought extremes over the conterminous United States in CMIP6 Exploring the Spatial Patterning of Sociodemographic Disparities in Extreme Heat Exposure at Multiple Scales Across the Conterminous United States Continental United States climate projections based on thermodynamic modification of historical weather Assessment of WRF (v 4.2.1) dynamically downscaled precipitation on subdaily and daily timescales over CONUS Evaluating Enhanced Reservoir Evaporation Losses From CMIP6-Based Future Projections in the Contiguous United States A Spatiotemporal-Aware Weighting Scheme for Improving Climate Model Ensemble Predictions Evaluation of CMIP6 GCMs Over the CONUS for Downscaling Studies The Third Assessment of the Effects of Climate Change on Federal Hydropower How May the Choice of Downscaling Techniques and Meteorological Reference Observations Affect Future Hydroclimate Projections? Multimodel ensemble predictions of precipitation using bayesian neural networks Multimodel Ensemble Predictions of Precipitation using Bayesian Neural Networks Temporal variabilities of soil carbon dioxide fluxes from cornfield impacted by temperature and precipitation changes through high-frequent measurement and DAYCENT modelling VA EDH Data Curation Documentation FY21, Rev. 2 CTSA MHRI Datasets VA EDH Data Curation Documentation FY22-Q2, Rev. 2 The role of humidity in determining future electricity demand in the southeastern United States... Toward Urban Water Security: Broadening the Use of Machine Learning Methods for Mitigating Urban Water Hazards Shift Toward Intense and Widespread Precipitation Events Over the United States by Mid21st Century Revisiting Recent U.S. Heat Waves in a Warmer and More Humid Climate Shift in seasonal climate patterns likely to impact residential energy consumption in the United States Pagination Current page 1 Page 2 Next page 算傭 Last page Last 罈 Key Links Curriculum Vitae Research Highlight Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing Methods for Engineered Systems Section Computational Urban Sciences Group
