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Samantha H. Hartke, Daniel B. Wright, Dalia B. Kirschbaum, Thomas A. Stanley, and Zhe Li

producing error estimates in the first place, another challenge is enabling environmental models to ingest such estimates. One approach is to generate ensembles consisting of multiple realizations of precipitation time series or space–time fields and then use each ensemble member to drive a prediction model. This approach allows prediction models to be used without any particular modification, as demonstrated in a number of studies using stochastic rainfall input for soil moisture and landslide hazard

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Alberto Ortolani, Francesca Caparrini, Samantha Melani, Luca Baldini, and Filippo Giannetti

or soil moisture retrievals into a land surface model . Hydrol. Earth Syst. Sci. , 20 , 4895 – 4911 , https://doi.org/10.5194/hess-20-4895-2016 . 10.5194/hess-20-4895-2016 Evensen , G. , 2003 : The ensemble Kalman filter: Theoretical formulation and practical implementation . Ocean Dyn. , 53 , 343 – 367 , https://doi.org/10.1007/s10236-003-0036-9 . 10.1007/s10236-003-0036-9 Gaspari , G. , and S. E. Cohn , 1999 : Construction of correlation functions in two and three dimensions

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Chandra Rupa Rajulapati, Simon Michael Papalexiou, Martyn P. Clark, Saman Razavi, Guoqiang Tang, and John W. Pomeroy

, https://doi.org/10.1002/2017RG000574 . 10.1002/2017RG000574 Trenberth , K. E. , A. Dai , R. M. Rasmussen , and D. B. Parsons , 2003 : The changing character of precipitation . Bull. Amer. Meteor. Soc. , 84 , 1205 – 1218 , https://doi.org/10.1175/BAMS-84-9-1205 . 10.1175/BAMS-84-9-1205 Trenberth , K. E. , J. T. Fasullo , and J. Mackaro , 2011 : Atmospheric moisture transports from ocean to land and global energy flows in reanalyses . J. Climate , 24 , 4907 – 4924 , https

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