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    When Will We Detect Changes in Short-Duration Precipitation Extremes? 

    Source: Journal of Climate:;2018:;volume 031:;issue 007:;page 2945
    Author(s): Kendon, Elizabeth J.; Blenkinsop, Stephen; Fowler, Hayley J.
    Publisher: American Meteorological Society
    Abstract: AbstractThe question of when the influence of climate change on U.K. rainfall extremes may be detected is important from a planning perspective, providing a time scale for necessary climate change adaptation measures. ...
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    Weather Types and Hourly to Multiday Rainfall Characteristics in Tropical Australia 

    Source: Journal of Climate:;2019:;volume 032:;issue 013:;page 3983
    Author(s): Moron, Vincent; Barbero, Renaud; Evans, Jason P.; Westra, Seth; Fowler, Hayley J.
    Publisher: American Meteorological Society
    Abstract: AbstractSix weather types (WTs) are computed for tropical Australia during the wet season (November?March 1979?2015) using cluster analysis of 6-hourly low-level winds at 850 hPa. The WTs may be interpreted as a varying ...
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    Large-Scale Predictors for Extreme Hourly Precipitation Events in Convection-Permitting Climate Simulations 

    Source: Journal of Climate:;2017:;volume 031:;issue 006:;page 2115
    Author(s): Chan, Steven C.; Kendon, Elizabeth J.; Roberts, Nigel; Blenkinsop, Stephen; Fowler, Hayley J.
    Publisher: American Meteorological Society
    Abstract: AbstractMidlatitude extreme precipitation events are caused by well-understood meteorological drivers, such as vertical instability and low pressure systems. In principle, dynamical weather and climate models behave in the ...
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    Evaluation of Upper Indus Near-Surface Climate Representation by WRF in the High Asia Refined Analysis 

    Source: Journal of Hydrometeorology:;2019:;volume 020:;issue 003:;page 467
    Author(s): Pritchard, David M. W.; Forsythe, Nathan; Fowler, Hayley J.; O’Donnell, Greg M.; Li, Xiao-Feng
    Publisher: American Meteorological Society
    Abstract: AbstractData paucity is a severe barrier to the characterization of Himalayan near-surface climates. Regional climate modeling can help to fill this gap, but the resulting data products need critical evaluation before use. ...
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    The Value of High-Resolution Met Office Regional Climate Models in the Simulation of Multihourly Precipitation Extremes 

    Source: Journal of Climate:;2014:;volume( 027 ):;issue: 016:;page 6155
    Author(s): Chan, Steven C.; Kendon, Elizabeth J.; Fowler, Hayley J.; Blenkinsop, Stephen; Roberts, Nigel M.; Ferro, Christopher A. T.
    Publisher: American Meteorological Society
    Abstract: xtreme value theory is used as a diagnostic for two high-resolution (12-km parameterized convection and 1.5-km explicit convection) Met Office regional climate model (RCM) simulations. On subdaily time scales, the 12-km ...
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    Do Convection-Permitting Regional Climate Models Improve Projections of Future Precipitation Change? 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 001:;page 79
    Author(s): Kendon, Elizabeth J.; Ban, Nikolina; Roberts, Nigel M.; Fowler, Hayley J.; Roberts, Malcolm J.; Chan, Steven C.; Evans, Jason P.; Fosser, Giorgia; Wilkinson, Jonathan M.
    Publisher: American Meteorological Society
    Abstract: egional climate projections are used in a wide range of impact studies, from assessing future flood risk to climate change impacts on food and energy production. These model projections are typically at 12?50-km resolution, ...
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    Challenges in Quantifying Changes in the Global Water Cycle 

    Source: Bulletin of the American Meteorological Society:;2014:;volume( 096 ):;issue: 007:;page 1097
    Author(s): Hegerl, Gabriele C.; Black, Emily; Allan, Richard P.; Ingram, William J.; Polson, Debbie; Trenberth, Kevin E.; Chadwick, Robin S.; Arkin, Phillip A.; Sarojini, Beena Balan; Becker, Andreas; Dai, Aiguo; Durack, Paul J.; Easterling, David; Fowler, Hayley J.; Kendon, Elizabeth J.; Huffman, George J.; Liu, Chunlei; Marsh, Robert; New, Mark; Osborn, Timothy J.; Skliris, Nikolaos; Stott, Peter A.; Vidale, Pier-Luigi; Wijffels, Susan E.; Wilcox, Laura J.; Willett, Kate M.; Zhang, Xuebin
    Publisher: American Meteorological Society
    Abstract: nderstanding observed changes to the global water cycle is key to predicting future climate changes and their impacts. While many datasets document crucial variables such as precipitation, ocean salinity, runoff, and ...
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