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Nasrin Nasrollahi, Kuolin Hsu, and Soroosh Sorooshian

advantage of multiple remote-sensing devices. Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) products are combined precipitation products that use GEO's IR information to fill the gaps between PMW estimates ( Huffman et al. 2007 ). For example, to overcome the temporal limitations of PMW estimates, National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center (CPC) morphing technique (CMORPH) uses atmospheric motion vectors derived from GEO

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Alejandro Hermoso, Victor Homar, and Arnau Amengual

ensemble generation strategies should comprehensively sample initial, boundary and model formulation uncertainties to improve quantitative precipitation forecasts of HPEs so as to prevent human and material losses. In this sense, the second part of this study tackles these predictability issues by means of cutting-edge ensemble generation techniques. Acknowledgments This work was sponsored by: FEDER/Ministerio de Ciencia, Innovación y Universidades—Agencia Estatal de Investigación/COASTEPS (CGL2017

Open access
Janice L. Bytheway, Mimi Hughes, Kelly Mahoney, and Rob Cifelli

hydrological variables at high spatial and temporal resolutions. Understanding the uncertainty in the existing available high-resolution QPE will help to quantify improvements made by additional observing systems and experimental model forecasts. Given the large uncertainty in hourly precipitation on the scale of a few kilometers, it is suggested that improving observational capabilities in regions of complex terrain, whether through additional instrumentation, advanced quality control techniques to remove

Free access
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 , https://doi.org/10.1175/BAMS-88-11-1739 . 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

Open access
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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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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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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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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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

Open access