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    Probabilistic Prediction of Postdisaster Functionality Loss of Community Building Portfolios Considering Utility Disruptions 

    Source: Journal of Structural Engineering:;2018:;Volume ( 144 ):;issue: 004
    Author(s): Zhang Weili;Lin Peihui;Wang Naiyu;Nicholson Charles;Xue Xianwu
    Publisher: American Society of Civil Engineers
    Abstract: This study proposes a framework for the probabilistic prediction of building portfolio functionality loss (BPFL) in a community following an earthquake hazard. Building functionality is jointly affected by both the structural ...
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    Evaluation of a Method to Enhance Real-Time, Ground Radar–Based Rainfall Estimates Using Climatological Profiles of Reflectivity from Space 

    Source: Journal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 003:;page 761
    Author(s): Wen, Yixin; Kirstetter, Pierre; Hong, Yang; Gourley, Jonathan J.; Cao, Qing; Zhang, Jian; Flamig, Zac; Xue, Xianwu
    Publisher: American Meteorological Society
    Abstract: ver mountainous terrain, ground weather radars face limitations in monitoring surface precipitation as they are affected by radar beam blockages along with the range-dependent biases due to beam broadening and increase in ...
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    Hydrometeorological Analysis and Remote Sensing of Extremes: Was the July 2012 Beijing Flood Event Detectable and Predictable by Global Satellite Observing and Global Weather Modeling Systems? 

    Source: Journal of Hydrometeorology:;2014:;Volume( 016 ):;issue: 001:;page 381
    Author(s): Zhang, Yu; Hong, Yang; Wang, Xuguang; Gourley, Jonathan J.; Xue, Xianwu; Saharia, Manabendra; Ni, Guangheng; Wang, Gaili; Huang, Yong; Chen, Sheng; Tang, Guoqiang
    Publisher: American Meteorological Society
    Abstract: rediction, and thus preparedness, in advance of flood events is crucial for proactively reducing their impacts. In the summer of 2012, Beijing, China, experienced extreme rainfall and flooding that caused 79 fatalities and ...
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    The Influence of Surface and Precipitation Characteristics on TRMM Microwave Imager Rainfall Retrieval Uncertainty 

    Source: Journal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 004:;page 1596
    Author(s): Carr, N.; Kirstetter, P.-E.; Hong, Y.; Gourley, J. J.; Schwaller, M.; Petersen, W.; Wang, Nai-Yu; Ferraro, Ralph R.; Xue, Xianwu
    Publisher: American Meteorological Society
    Abstract: haracterization of the error associated with quantitative precipitation estimates (QPEs) from spaceborne passive microwave (PMW) sensors is important for a variety of applications ranging from flood forecasting to climate ...
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    DSpace software copyright © 2002-2015  DuraSpace
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