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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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    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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    GSDR: A Global Sub-Daily Rainfall Dataset 

    Source: Journal of Climate:;2019:;volume 032:;issue 015:;page 4715
    Author(s): Lewis, Elizabeth; Fowler, Hayley; Alexander, Lisa; Dunn, Robert; McClean, Fergus; Barbero, Renaud; Guerreiro, Selma; Li, Xiao-Feng; Blenkinsop, Stephen
    Publisher: American Meteorological Society
    Abstract: AbstractExtreme short-duration rainfall can cause devastating flooding that puts lives, infrastructure, and natural ecosystems at risk. It is therefore essential to understand how this type of extreme rainfall will change ...
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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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    Global Climate 

    Source: Bulletin of the American Meteorological Society:;2020:;volume( 101 ):;issue: 008:;page S9
    Author(s): Ades, M.;Adler, R.;Allan, Rob;Allan, R. P.;Anderson, J.;Argüez, Anthony;Arosio, C.;Augustine, J. A.;Azorin-Molina, C.;Barichivich, J.;Barnes, J.;Beck, H. E.;Becker, Andreas;Bellouin, Nicolas;Benedetti, Angela;Berry, David I.;Blenkinsop, Stephen;Bock, Olivier.;Bosilovich, Michael G.;Boucher, Olivier.;Buehler, S. A.;Carrea, Laura.;Christiansen, Hanne H.;Chouza, F.;Christy, John R.;Chung, E.-S.;Coldewey-Egbers, Melanie;Compo, Gil P.;Cooper, Owen R.;Covey, Curt;Crotwell, A.;Davis, Sean M.;de Eyto, Elvira;de Jeu, Richard A. M;VanderSat, B.V.;DeGasperi, Curtis L.;Degenstein, Doug;Di Girolamo, Larry;Dokulil, Martin T.;Donat, Markus G.;Dorigo, Wouter A.;Durre, Imke;Dutton, Geoff S.;Duveiller, G.;Elkins, James W.;Fioletov, Vitali E.;Flemming, Johannes;Foster, Michael J.;Frey, Richard A.;Frith, Stacey M.;Froidevaux, Lucien;Garforth, J.;Gupta, S. K.;Haimberger, Leopold;Hall, Brad D.;Harris, Ian;Heidinger, Andrew K;Hemming, D. L.;Ho, Shu-peng (Ben);Hubert, Daan;Hurst, Dale F.;Hüser, I.;Inness, Antje;Isaksen, K.;John, Viju;Jones, Philip D.;Kaiser, J. W.;Kelly, S.;Khaykin, S.;Kidd, R.;Kim, Hyungiun;Kipling, Z.;Kraemer, B. M.;Kratz, D. P.;La Fuente, R. S.;Lan, Xin;Lantz, Kathleen O.;Leblanc, T.;Li, Bailing;Loeb, Norman G;Long, Craig S.;Loyola, Diego;Marszelewski, Wlodzimierz;Martens, B.;May, Linda;Mayer, Michael;McCabe, M. F.;McVicar, Tim R.;Mears, Carl A.;Menzel, W. Paul;Merchant, Christopher J.;Miller, Ben R.;Miralles, Diego G.;Montzka, Stephen A.;Morice, Colin;Mühle, Jens;Myneni, R.;Nicolas, Julien P.;Noetzli, Jeannette;Osborn, Tim J.;Park, T.;Pasik, A.;Paterson, Andrew M.;Pelto, Mauri S.;Perkins-Kirkpatrick, S.;Pétron, G.;Phillips, C.;Pinty, Bernard;Po-Chedley, S.;Polvani, L.;Preimesberger, W.;Pulkkanen, M.;Randel, W. J.;Rémy, Samuel;Ricciardulli, L.;Richardson, A. D.;Rieger, L.;Robinson, David A.;Rodell, Matthew;Rosenlof, Karen H.;Roth, Chris;Rozanov, A.;Rusak, James A.;Rusanovskaya, O.;Rutishäuser, T.;Sánchez-Lugo, Ahira;Sawaengphokhai, P.;Scanlon, T.;Schenzinger, Verena;Schladow, S. Geoffey;Schlegel, R. W;Schmid, Martin, Eawag;Selkirk, H. B.;Sharma, S.;Shi, Lei;Shimaraeva, S. V.;Silow, E. A.;Simmons, Adrian J.;Smith, C. A.;Smith, Sharon L;Soden, B. J.;Sofieva, Viktoria;Sparks, T. H.;Stackhouse, Paul W., Jr.;Steinbrecht, Wolfgang;Streletskiy, Dimitri A.;Taha, G.;Telg, Hagen;Thackeray, S. J.;Timofeyev, M. A.;Tourpali, Kleareti;Tye, Mari R.;van der A, Ronald J.;van der Schalie, Robin, VanderSat B.V.;van der SchrierW. Paul, Gerard;van der Werf, Guido R.;Verburg, Piet;Vernier, Jean-Paul;Vömel, Holger;Vose, Russell S.;Wang, Ray;Watanabe, Shohei G.;Weber, Mark;Weyhenmeyer, Gesa A.;Wiese, David;Wilber, Anne C.;Wild, Jeanette D.;Wong, Takmeng;Woolway, R. Iestyn;Yin, Xungang;Zhao, Lin;Zhao, Guanguo;Zhou, Xinjia;Ziemke, Jerry R.;Ziese, Markus
    Publisher: American Meteorological Society
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