Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jonathan M. Frame"'
Autor:
Jonathan M. Frame, Tanya Nair, Veda Sunkara, Philip Popien, Subit Chakrabarti, Tyler Anderson, Nicholas R. Leach, Colin Doyle, Mitchell Thomas, Beth Tellman
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 17, Pp n/a-n/a (2024)
Abstract Rapid and accurate maps of floods across large domains, with high temporal resolution capturing event peaks, have applications for flood forecasting and resilience, damage assessment, and parametric insurance. Satellite imagery produces inco
Externí odkaz:
https://doaj.org/article/8b428244b9f043bab25212d6540519a7
Autor:
Yong Zhang, Dongbao Zhou, Wei Wei, Jonathan M. Frame, Hongguang Sun, Alexander Y. Sun, Xingyuan Chen
Publikováno v:
Mathematics, Vol 9, Iss 7, p 790 (2021)
Fractional calculus-based differential equations were found by previous studies to be promising tools in simulating local-scale anomalous diffusion for pollutants transport in natural geological media (geomedia), but efficient models are still needed
Externí odkaz:
https://doaj.org/article/7128993635494b2d8e67182a6c059dca
Autor:
Grey S. Nearing, Daniel Klotz, Jonathan M. Frame, Martin Gauch, Oren Gilon, Frederik Kratzert, Alden Keefe Sampson, Guy Shalev, Sella Nevo
Publikováno v:
Hydrology and Earth System Sciences. 26:5493-5513
Ingesting near-real-time observation data is a critical component of many operational hydrological forecasting systems. In this paper, we compare two strategies for ingesting near-real-time streamflow observations into long short-term memory (LSTM) r
Autor:
Jonathan M. Frame, Frederik Kratzert, Daniel Klotz, Martin Gauch, Guy Shalev, Oren Gilon, Logan M. Qualls, Hoshin V. Gupta, Grey S. Nearing
Publikováno v:
Hydrology and Earth System Sciences. 26:3377-3392
The most accurate rainfall–runoff predictions are currently based on deep learning. There is a concern among hydrologists that the predictive accuracy of data-driven models based on deep learning may not be reliable in extrapolation or for predicti
Publikováno v:
Hydrological Processes. 37
Publikováno v:
Journal of Hydrology. 614:128551
Publikováno v:
Journal of Hydrology. 611:128010