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  • 1
    UID:
    b3kat_BV047316904
    Format: 1 Online-Ressource (XX, 278 Seiten) , 41 Illustrationen
    Edition: First edition 2021
    ISBN: 9781484269176
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-4842-6916-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-4842-6918-3
    Language: English
    Keywords: Spiel-Engine ; Computerspiel ; Programmierung
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    Online Resource
    Online Resource
    Boulder, Colorado : United States Department of Commerce, National Oceanic and Atmospheric Administration, Office of Oceanic and Atmospheric Research, Earth System Research Laboratory, Physical Sciences Division
    UID:
    b3kat_BV046055007
    Format: 1 Online-Ressource , Illustrationen, Diagramme
    Series Statement: NOAA technical memorandum OAR PSD 317
    Content: San Francisco Bay is a highly urbanized estuary and the surrounding communities are susceptible to flooding along the bay shoreline and inland rivers and creeks that drain to the Bay. An integrated forecast model is being developed for predicting flooding in Bay area tributaries and estuaries. This project involves state-of-the-art coupling of a NWS Distributed Hydrologic Model (DHM) with the USGS Coastal Storm Modeling System (CoSMoS). Results presented here are for a prototype focused on the interaction of the Napa River watershed and the San Pablo Bay. Discharges from the DHM are meteorologically driven and dynamic, allowing for identification of flash flood threats for model grids interior to the Bay tributaries. The DHM tributary flows are input to the CoSMoS model which in turn simulates flooding extent in the receiving estuary.
    Content: We utilize Delft3D-FM, a hydrodynamic model based on a flexible mesh grid, to calculate water levels that account for tidal forcing, seasonal water level anomalies, surge and in-Bay generated wind waves derived from the wind and pressure fields of a NWS forecast model. This report focuses on assessment of the various flood forecast information products generated by the integrated flood forecast modeling system. The tributary DHM generates forecast information for each grid that are portrayed as discharge, flow hydrographs (peak flow, time-to-peak, duration of high flow), soil moisture, and flood recurrence level. The CoSMoS portrays flood inundation and timing, and duration. Both models can help identify flood impact features such as road-stream crossings, and other critical facilities. A workshop was held with state, federal and local agency staff involved with flood forecasting and warning, and flood mitigation.
    Content: As part of the workshop, we asked participants to review Hydro-CoSMoS outputs and rate how useful these products would be for theirs jobs. Results of these reviews are presented, and discussion is directed to how users' assessments could influence design of the real-time operational system to be implemented
    Language: English
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  • 3
    UID:
    b3kat_BV046054851
    Format: 1 Online-Ressource (58 Seiten)
    Note: Hurricane Harvey, the first major hurricane to make landfall in the United States since Wilma in 2005, produced catastrophic impacts over Southeast Texas and Southwest Louisiana. The center of Hurricane Harvey made landfall near Rockport, TX, as a Category 4 hurricane, producing impacts due to high winds, storm surge, and numerous tornadoes. In a four-day period, many areas received more than 40 inches of rain as the cyclone meandered over eastern Texas and adjacent waters, causing catastrophic flooding. With peak accumulations of over 60 inches of rain, Hurricane Harvey produced the most rain on record for a tropical storm or other weather event in the contiguous United States and caused an estimated 125 billion dollars of damage according to NOAA. At least 68 fatalities in Texas alone were directly attributable to this event, the highest death toll due to a tropical system in that state since 1919.
    Language: English
    Keywords: Hurrikan
    URL: Volltext  (kostenfrei)
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  • 4
    UID:
    b3kat_BV048521843
    Format: 1 Online-Ressource (X, 64 Seiten) , Illustrationen, Diagramme, Karten
    Series Statement: NREL/TP 5D00-81904
    Note: "March 2022. , "Funding provided by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Solar Energy Technologies Office"--Title page verso
    Language: English
    Keywords: Sonnenenergie ; Sonnenaktivität ; Mathematische Modellierung ; Wettervorhersage
    URL: Volltext  (kostenfrei)
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