Zobrazeno 1 - 10
of 503
pro vyhledávání: '"real‐time forecasting"'
Autor:
Felix Schmid, Jorge Leandro
Publikováno v:
Forecasting, Vol 6, Iss 3, Pp 761-781 (2024)
Inundation maps that show water depths that occur in the event of a flood are essential for protection. Especially information on timings is crucial. Creating a dynamic inundation map with depth data in temporal resolution is a major challenge and is
Externí odkaz:
https://doaj.org/article/00aa6b6d184740c08cb0e45c7969c929
Publikováno v:
Applied Computing and Geosciences, Vol 24, Iss , Pp 100206- (2024)
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are revolutionizing hydrology, driving significant advancements in water resource management, modeling, and prediction. This review synthesizes cutting-edge developments, met
Externí odkaz:
https://doaj.org/article/a43b8f1ae1714f1eb5b348455c8f5cf4
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-25 (2024)
Abstract Background Dynamical mathematical models defined by a system of differential equations are typically not easily accessible to non-experts. However, forecasts based on these types of models can help gain insights into the mechanisms driving t
Externí odkaz:
https://doaj.org/article/ccdc1cca65564a85af2737486e8ab7f9
Autor:
Laura Manuel, Ehab Meselhe, Kelin Hu, Arnejan van Loenen, Thies Blokhuijsen, Md Nazmul Azim Beg
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 57, Iss , Pp 102088- (2025)
Study region: This study details the development of a real time forecasting system for the coastal zone of the Northern Gulf of Mexico providing a twice daily, ten-day forecast of two-dimensional hydrodynamics. The Mississippi River Delta is the prim
Externí odkaz:
https://doaj.org/article/6c885d1e160e4edfb2e1dd5bd6e1d0e7
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 8, Pp 102180- (2024)
The stock market’s volatility, noise, and information overload necessitate efficient prediction methods. Forecasting index prices in this environment is complex due to the non-linear and non-stationary nature of time series data generated from the
Externí odkaz:
https://doaj.org/article/fbd696c66e474a7b8403c82882d0a2fc
Autor:
Paul G. Whitehead, Paul Edmunds, Gianbattista Bussi, Séamus O’Donnell, Martyn Futter, Steve Groom, Cordelia Rampley, Chris Szweda, David Johnson, Andy Triggs Hodge, Tim Porter, Geraldine Castro
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Increasingly scarce water resources and growing global populations have exacerbated the problems of water quality in river systems and freshwaters in general. New monitoring methodologies and tools to democratize access to water quality information a
Externí odkaz:
https://doaj.org/article/84d07ca805bd4d158b304ce3de0ffa0a
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 14, Iss 1 (2023)
AbstractThis study proposes an integrated hydrometeorological modelling framework approach and methodology for flash flood Early Warning Systems in the Chugoku region of Japan. Unprecedented rainfall-induced hydrometeorological disasters and flash fl
Externí odkaz:
https://doaj.org/article/89f37081f70a4b82a65a1215b5a1c13b
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Present tsunami warning systems have been specialized for earthquake-generated tsunamis, but rapidly evaluating the tsunamis caused by volcanic eruptions and/or volcanic sector collapses remains a challenge. In this study, we applied a numerical mode
Externí odkaz:
https://doaj.org/article/29147603100b43f48167d294a1661ed2
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.