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Tim Bardsley, Andrew Wood, Mike Hobbins, Tracie Kirkham, Laura Briefer, Jeff Niermeyer, and Steven Burian

the NOAA Colorado Basin River Forecast Center's operational hydrologic modeling framework and to simplify communication with water managers in the United States, results are reported in imperial units. The primary objective of this study is to inform water management and long-range planning decisions through a partial bottom-up assessment ( Brown and Wilby 2012 ) of SLC system sensitivities to potential vulnerabilities in water supplies given climate operational adaptation options and measures

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G. T. Aronica and B. Bonaccorso

-of-river plants, as is the case of the present study, is more vulnerable than impoundment hydropower plants to alteration of rainfall and temperature regimes due to climate change, there is a further interest in modeling approaches for forecasting flow regimes of the Alcantara River under different climatic conditions. To this end, the emphasis of this study is placed on determining and comparing flow duration curves (FDCs), as well as the resulting utilization curves, for current and future scenarios. One of

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Jinyang Du and Qiang Liu

its forecasting, prediction, and dispatching . Tech. Note Nat. Inst. Land Infrastruct. Manage. , 211 , 7 – 14 . Mahmood , R. , and Coauthors , 2010 : Impacts of land use/land cover change on climate and future research priorities . Bull. Amer. Meteor. Soc. , 91 , 37 – 46 . Miller , N. L. , J. Jin , and C.-F. Tsang , 2005 : Local climate sensitivity of the Three Gorges Dam . Geophys. Res. Lett. , 32 , L16704 , doi:10.1029/2005GL022821 . Müller , B. , M. Berg , Z. P

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Mohammad Karamouz, Erfan Goharian, and Sara Nazif

(GCMs), which are the most advanced tools currently available in this field. GCMs are widely applied for understanding the climate, weather forecasting, and projecting climate change. In the past few years, various studies have investigated the hydrological impact of climate change (e.g., Boorman and Sefton 1997 ; Bergström et al. 2001 ; Gao et al. 2002 ; Christensen et al. 2004 ; Chen et al. 2007 ). Charlton et al. ( Charlton et al. 2006 ) examined the impact of climate change on flood hazard

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M. Sekhar, M. Shindekar, Sat K. Tomer, and P. Goswami

(RMSE), mean absolute error (MAE), and correlation were computed. Figure 10a shows the RMSE, MAE, and correlation for the all the GCMs. Based on the figure, the GCMs can be classified into two categories: showing relatively better and poor behavior with the measured rainfall. Worldwide, the skill of GCMs at forecasting time- and space-averaged rainfall, like all-India seasonal precipitation, is quite poor and the skill decreases as the spatial scale is reduced to single station. Thus, GCM

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Brandon L. Parkes, Hannah L. Cloke, Florian Pappenberger, Jeff Neal, and David Demeritt

. Neal , K. Beven , P. Young , and P. Bates , 2010 : Visualization approaches for communicating real time flood forecasting level and inundation information . J. Flood Risk Manage. , 3 , 140 – 150 . Lhomme , J. , J. Gutierrez-Andres , A. Weisgerber , M. Davison , J. Mulet-Marti , A. Cooper , and B. Gouldby , 2010 : Testing a new two-dimensional flood modelling system: analytical tests and application to a flood event . J. Flood Risk Manage. , 3 , 33 – 51 . Marcus

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