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Dayal Wijayarathne, Sudesh Boodoo, Paulin Coulibaly, and David Sills

. Y. Cho , J. S. Herd , J. M. Flavin , W. E. Benner , and G. S. Torok , 2007 : The next generation multimission U.S. surveillance radar network . Bull. Amer. Meteor. Soc. , 88 , 1739 – 1752 , . 10.1175/BAMS-88-11-1739 Wijayarathne , D. , P. Coulibaly , S. Boodoo , and D. Sills , 2020 : Evaluation of radar-gauge merging techniques to be used in operational flood forecasting in urban watersheds . Water , 12 , 1494 , https

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Ben S. Pickering, Steven Best, David Dufton, Maryna Lukach, Darren Lyth, and Ryan R. Neely III

reporters are capable of broader visual assessment of the precipitation type, but their observation volume is still an order of magnitude less than weather radars. In this study, a new approach is applied to determine the skill range of radar-based surface precipitation type products against several surface observation datasets, by varying the temporal and spatial tolerance of the product. The verification techniques developed here are further useful for assessment of NWP forecasts of precipitation type

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Chris Kidd, Erin Dawkins, and George Huffman

paper assesses how well the operational European Centre for Medium-Range Weather Forecasts (ECMWF) forecast model simulates the mean annual and seasonal diurnal rainfall cycles relative to the satellite-derived Tropical Rainfall Measuring Mission (TRMM) Merged Precipitation Analysis (TMPA) and Precipitation Radar (PR) products across the global tropics (40°N–40°S 180°W–180°E) over a 7-yr time period (2004–11). This is the region where models typically show the least accuracy at simulating

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Louise Arnal, Andrew W. Wood, Elisabeth Stephens, Hannah L. Cloke, and Florian Pappenberger

) in the winter and fall due to higher precipitation forecasting skill in strong ENSO phases ( Wood et al. 2005 ). Increasing the seasonal streamflow forecast skill remains a challenge: one that is being tackled by improving IHCs and SCFs using a variety of techniques. Techniques include model developments and data assimilation and can vary in computational expense. However, over the past several decades, it has been shown that operational streamflow forecast quality has not significantly improved

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M. Tugrul Yilmaz and Wade T. Crow

matching techniques are perhaps the most common. A handful of studies have applied rescaling based on least squares regression techniques ( Crow et al. 2005 ; Crow and Zhan 2007 ) but failed to offer any clear rationale for this choice. Additionally, signal variance-based rescaling, typically applied as a preprocessing step in triple collocation analysis ( Stoffelen 1998 ), also provides a means to rescale datasets using three independent estimates of the same variable. However, this approach has not

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T. J. Bellerby

G. , and Zhu Y. , 2003 : Probability and ensemble forecasts. Forecast Verification, I. T. Jolliffe and D. B. Stephenson, Eds., Wiley, 137–164. Turk, F. J. , and Miller S. D. , 2005 : Toward improving estimates of remotely-sensed precipitation with MODIS/AMSR-E blended data techniques . IEEE Trans. Geosci. Remote Sens. , 43 , 1059 – 1069 . Ushio, T. , and Coauthors , 2009 : A Kalman filter approach to the Global Satellite Mapping of Precipitation (GSMaP) from combined passive

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Klaus Vormoor and Thomas Skaugen

Norway, observed meteorological data are usually only available as daily values, whereas meteorological forecast data are available on almost any desired temporal resolution. Since most hydrological models need to be calibrated with historical data, we need to close the gap in temporal resolution between historical and forecasted meteorological data and introduce appropriate techniques to refine historical meteorological data into a subdaily resolution. The Norwegian Water Resources and Energy

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Ryan R. Neely III, Louise Parry, David Dufton, Lindsay Bennett, and Chris Collier

radar networks, the ability to create maps of precipitation on national scales at 5-min frequencies with subkilometer resolutions has become routine. These reveal important microphysical and dynamical information and are an invaluable tool for flood forecasters ( Herzegh and Jameson 1992 ; Zrnić and Ryzhkov 1999 ; Ogden et al. 2000 ; Lascaux et al. 2007 ; Cifelli and Chandrasekar. 2010 ; Gourley et al. 2010 ; Berne and Krajewski 2013 ; Antonini et al. 2017 ). The effectiveness of dual

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Blandine Bianchi, Peter Jan van Leeuwen, Robin J. Hogan, and Alexis Berne

1. Introduction The problem of accurate measurement of rainfall intensity has been long investigated because it has important implications in meteorology, agriculture, environmental policies, monitoring of sewage systems in urban areas, and weather forecasting. Over past decades, various techniques have been developed for monitoring rainfall, but its strong spatial and temporal variability still represents a significant source of uncertainty. In this study, a variational approach is proposed to

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Joseph Bellier, Michael Scheuerer, and Thomas M. Hamill

Bunkers , M. J. , B. A. Klimowski , J. W. Zeitler , R. L. Thompson , and M. L. Weisman , 2000 : Predicting supercell motion using a new hodograph technique . Wea. Forecasting , 15 , 61 – 79 ,<0061:PSMUAN>2.0.CO;2 . 10.1175/1520-0434(2000)015<0061:PSMUAN>2.0.CO;2 Buschow , S. , J. Pidstrigach , and P. Friederichs , 2019 : Assessment of wavelet-based spatial verification by means of a stochastic precipitation model (wv_verif v0

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