Zobrazeno 1 - 10
of 197
pro vyhledávání: '"Ganguly, Auroop R."'
Autor:
Das, Puja, Ganguly, Auroop R.
Earth system models inform water policy and interventions, but knowledge gaps in hydrologic representations limit the credibility of projections and impacts assessments. The literature does not provide conclusive evidence that incorporating higher re
Externí odkaz:
http://arxiv.org/abs/2409.14243
Autor:
Das, Puja, Posch, August, Barber, Nathan, Hicks, Michael, Vandal, Thomas J., Duffy, Kate, Singh, Debjani, van Werkhoven, Katie, Ganguly, Auroop R.
Precipitation nowcasting, critical for flood emergency and river management, has remained challenging for decades, although recent developments in deep generative modeling (DGM) suggest the possibility of improvements. River management centers, such
Externí odkaz:
http://arxiv.org/abs/2407.11317
Autor:
Pal, Ashis Kumar, Ganguly, Auroop R.
This study examines the failure and recovery, two key components of resilience of nine major urban rail networks - Washington DC, Boston, Chicago, Delhi, Tokyo, Paris, Shanghai, London, and New York - against multi-hazard scenarios utilizing a quanti
Externí odkaz:
http://arxiv.org/abs/2407.06359
Autor:
Oster, Matthew R., Amburg, Ilya, Chatterjee, Samrat, Eisenberg, Daniel A., Thomas, Dennis G., Pan, Feng, Ganguly, Auroop R.
Resilient operation of interdependent infrastructures against compound hazard events is essential for maintaining societal well-being. To address consequence assessment challenges in this problem space, we propose a novel tri-level optimization model
Externí odkaz:
http://arxiv.org/abs/2310.10587
Autor:
Yadav, Nishant, Alam, Mahbubul, Farahat, Ahmed, Ghosh, Dipanjan, Gupta, Chetan, Ganguly, Auroop R.
Recent advances in domain adaptation reveal that adversarial learning on deep neural networks can learn domain invariant features to reduce the shift between source and target domains. While such adversarial approaches achieve domain-level alignment,
Externí odkaz:
http://arxiv.org/abs/2301.03826
Causal and attribution studies are essential for earth scientific discoveries and critical for informing climate, ecology, and water policies. However, the current generation of methods needs to keep pace with the complexity of scientific and stakeho
Externí odkaz:
http://arxiv.org/abs/2209.12580
Publikováno v:
Nat. Clim. Chang. 12, 1037-1044 (2022)
Climate-mediated changes in the spatiotemporal distribution of thermal stress can destabilize animal populations and promote extinction risk. Using quantile, spectral, and wavelet analyses of temperature projections from the latest generation of eart
Externí odkaz:
http://arxiv.org/abs/2202.12236
Autor:
Yadav, Nishant, Sorek-Hamer, Meytar, Von Pohle, Michael, Asanjan, Ata Akbari, Sahasrabhojanee, Adwait, Suel, Esra, Arku, Raphael, Lingenfelter, Violet, Brauer, Michael, Ezzati, Majid, Oza, Nikunj, Ganguly, Auroop R.
Urban air pollution is a public health challenge in low- and middle-income countries (LMICs). However, LMICs lack adequate air quality (AQ) monitoring infrastructure. A persistent challenge has been our inability to estimate AQ accurately in LMIC cit
Externí odkaz:
http://arxiv.org/abs/2202.08890
Publikováno v:
Nat Commun 14, 339 (2023)
The El Ni\~no Southern Oscillation (ENSO) is a semi-periodic fluctuation in sea surface temperature (SST) over the tropical central and eastern Pacific Ocean that influences interannual variability in regional hydrology across the world through long-
Externí odkaz:
http://arxiv.org/abs/2201.02596