Zobrazeno 1 - 10
of 244
pro vyhledávání: '"Udit Bhatia"'
Autor:
Jack R. Watson, Daniel A. Eisenberg, Robyn Anderson, Udit Bhatia, Samrat Chatterjee, Marta C. Gonzalez, Aayushi Mishra, Ashis Kumar Pal, Nishant Yadav, Auroop R. Ganguly
Publikováno v:
Frontiers in Water, Vol 6 (2024)
Externí odkaz:
https://doaj.org/article/20073f61a57e4b5a82e6ca2f2f3cc762
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-14 (2024)
Abstract Intensive agricultural practices have powered green revolutions, helping nations attain self-sufficiency. However, these fertilizer-intensive methods and exploitative trade systems have created unsustainable agricultural systems. To probe th
Externí odkaz:
https://doaj.org/article/003f829c8bca49148fc5e05db735b5c9
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract Redressing global patterns of biodiversity loss requires quantitative frameworks that can predict ecosystem collapse and inform restoration strategies. By applying a network-based dynamical approach to synthetic and real-world mutualistic ec
Externí odkaz:
https://doaj.org/article/0082d5c999f14e02b80918706457f46f
Autor:
Danish Tantary, Arun K. Tangirala, Raghu Murthugudde, Subimal Ghosh, Rohini Kumar, Udit Bhatia
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 22, Pp n/a-n/a (2023)
Abstract Concurrent extreme rainfall events, or synchronous extremes, during Indian Summer Monsoon Rainfall (ISMR), cause significant damage, but their spatiotemporal evolution remains unclear. Using the event synchronization approach to examine the
Externí odkaz:
https://doaj.org/article/3a06606b360b4c208529ba44dd321b98
Publikováno v:
Environmental Research Letters, Vol 19, Iss 9, p 094052 (2024)
Quantile mapping based bias correction and spatial disaggregation (BCSD) have emerged as the de facto standard for rectifying bias and scale-mismatch in global climate models (GCMs) leading to novel climate science insights and new information for im
Externí odkaz:
https://doaj.org/article/9f1a3dcd1f574e85a6e6152a854034b8
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0286725 (2023)
The evolving international economic instability and international trade relationship demand a nation to move towards a self-reliant integrated system at a sub-national scale to address the growing human needs. Given India's role in the global trade n
Externí odkaz:
https://doaj.org/article/325ea03fc3bd494b8ee9257ba0bcd07a
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-19 (2021)
Abstract Background The dense social contact networks and high mobility in congested urban areas facilitate the rapid transmission of infectious diseases. Typical mechanistic epidemiological models are either based on uniform mixing with ad-hoc conta
Externí odkaz:
https://doaj.org/article/b6ec465fe5b143e081d50a7d901bd60b
Publikováno v:
IEEE Access, Vol 9, Pp 25208-25218 (2021)
Projection of changes in extreme indices of climate variables such as temperature and precipitation are critical to assess the potential impacts of climate change on human-made and natural systems, including critical infrastructures and ecosystems. W
Externí odkaz:
https://doaj.org/article/f153b7c669454f27b3225a104df5ef50
Publikováno v:
Journal of Hydrometeorology. 24:407-423
Quantifying uncertainties in estimating future hydropower production directly or indirectly affects India’s energy security, planning, and management. The chaotic and nonlinear nature of atmospheric processes results in considerable internal climat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cbe6b922eca4fef56048188fc8753a3
https://doi.org/10.1175/jhm-d-22-0065.1
https://doi.org/10.1175/jhm-d-22-0065.1
Autor:
Pravin Bhasme, Udit Bhatia
Reservoirs play a crucial role in water resources management. However, quantifying reservoir storage prediction is challenging, especially when reservoir inflow data is unavailable. In recent years, Machine Learning (ML) models have shown their succe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a90fcc599042dd6483d2b2c6805effb0
https://doi.org/10.5194/egusphere-egu23-774
https://doi.org/10.5194/egusphere-egu23-774
