Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Pratiman Patel"'
Autor:
Pratiman Patel, Kumar Ankur, Sajad Jamshidi, Alka Tiwari, Raghu Nadimpalli, N. K. R. Busireddy, Samira Safaee, Krishna K. Osuri, Subhankar Karmakar, Subimal Ghosh, Daniel Aliaga, James Smith, Frank Marks, Zong‐Liang Yang, Dev Niyogi
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 21, Pp n/a-n/a (2023)
Abstract Taking the examples of Hurricane Florence (2018) over the Carolinas and Hurricane Harvey (2017) over the Texas Gulf Coast, the study attempts to understand the performance of slab, single‐layer Urban Canopy Model (UCM), and Building Enviro
Externí odkaz:
https://doaj.org/article/5904237459494a1d9aa00e4ab8ad3b91
Autor:
Pratiman Patel, Praveen Kumar Thakur, Shiv Prasad Aggarwal, Vaibhav Garg, Pankaj Ramji Dhote, Bhaskar Ramachandra Nikam, Sabyasachi Swain, Nadhir Al-Ansari
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 13, Iss 1, Pp 646-666 (2022)
With advancements in computational technology, data assimilation techniques, high-resolution remote sensing, and complex climate models, numerous precipitation products are available with different spatiotemporal resolutions; however, their evaluatio
Externí odkaz:
https://doaj.org/article/81be67078b3a4d6ab6ee6183546b3b52
Publikováno v:
Computational Urban Science, Vol 2, Iss 1, Pp 1-14 (2022)
Abstract Amplified rates of urban convective systems pose a severe peril to the life and property of the inhabitants over urban regions, requiring a reliable urban weather forecasting system. However, the city scale's accurate rainfall forecast has c
Externí odkaz:
https://doaj.org/article/8947c68646f849c1a100f48b3716d2b2
Autor:
Manmeet Singh, Nachiketa Acharya, Pratiman Patel, Sajad Jamshidi, Zong-Liang Yang, Bipin Kumar, Suryachandra Rao, Sukhpal Singh Gill, Rajib Chattopadhyay, Ravi S. Nanjundiah, Dev Niyogi
Publikováno v:
Frontiers in Climate, Vol 4 (2023)
Deep learning (DL), a potent technology to develop Digital Twin (DT), for weather prediction using cubed spheres (DLWP-CS) was recently proposed to facilitate data-driven simulations of global weather fields. DLWP-CS is a temporal mapping algorithm w
Externí odkaz:
https://doaj.org/article/655cf3ca570f47c6beded515f8d59cbd
Publikováno v:
Environmental Research Letters, Vol 16, Iss 7, p 074051 (2021)
Green Roofs (GRs) are one of the measures considered for Urban Heat Island (UHI) mitigation. The cooling effects of GRs are well studied in the literature. However, previous work has not addressed the impacts of GRs on heavy rainfall in cities. This
Externí odkaz:
https://doaj.org/article/462833801fba4a2c8b332b9b77da69d6
Autor:
Shyama Mohanty, Madhusmita Swain, Raghu Nadimpalli, K. K. Osuri, U. C. Mohanty, Pratiman Patel, Dev Niyogi
Publikováno v:
Journal of Applied Meteorology and Climatology. 62:191-208
The city of Mumbai, India, frequently receives extreme rainfall (>204.5 mm day−1) during the summer monsoonal period (June–September), causing flash floods and other hazards. An assessment of the meteorological conditions that lead to these rain
Autor:
Pratiman Patel, Song Chen, Anurag Dipankar, Matthias Roth, Humphrey Lean, Hugh Zhang, Aurel Moise
Increasing urbanization and its implication for human health, outdoor thermal comfort, air quality or energy consumption necessitate a need for high-resolution urban modelling. In this study, we evaluate uSINGV, a coupled urban-atmosphere research mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b77cb5a32d132ffbc9c31d7f4ca77e69
https://doi.org/10.5194/egusphere-egu23-10849
https://doi.org/10.5194/egusphere-egu23-10849
Publikováno v:
PNAS Nexus. 2
Herein, we introduce a novel methodology to generate urban morphometric parameters that takes advantage of deep neural networks and inverse modeling. We take the example of Chicago, USA, where the Urban Canopy Parameters (UCPs) available from the Nat
Autor:
Pratiman Patel, Sajad Jamshidi, Raghu Nadimpalli, Daniel G. Aliaga, Gerald Mills, Fei Chen, Matthias Demuzere, Dev Niyogi
Publikováno v:
Journal of Geophysical Research: Atmospheres. 127
Role of Geospatial Technology in Hydrological and Hydrodynamic Modeling-With Focus on Floods Studies
Autor:
Praveen K. Thakur, Pratiman Patel, Vaibhav Garg, Adrija Roy, Pankaj Dhote, C. M. Bhatt, Bhaskar R. Nikam, Arpit Chouksey, S. P. Aggarwal
Publikováno v:
Geospatial Technologies for Land and Water Resources Management ISBN: 9783030904784
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18d05d1c1f0eeeca81c9885c004c81e8
https://doi.org/10.1007/978-3-030-90479-1_26
https://doi.org/10.1007/978-3-030-90479-1_26