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Eugene L. Peck

The paper presents a review of the activities of the Hydrology Committee of the AMS. In addition, recent progress and areas needing additional research and development in the field of hydrometeorology are discussed.

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Robert J. Zamora, F. Martin Ralph, Edward Clark, and Timothy Schneider

and warnings to the public that can be used to protect lives and property is the primary mission of the National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS). In support of this mission the NOAA Earth System Research Laboratory (ESRL) and the NWS have developed the Hydrometeorology Testbed (HMT) program. HMT has been developed as a means for accelerating the development and infusion of new observing technologies, modeling methods, and scientific results from the

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S. Lim, R. Cifelli, V. Chandrasekar, and S. Y. Matrosov

available to the radar community and QPE applications at this frequency band are becoming increasingly popular ( Matrosov 2010 ; Wang and Chandrasekar 2010 ; Anagnostou et al. 2010 ). This study is based on data collected from the National Oceanic and Atmospheric Administration (NOAA) dual-polarization X-band radar for hydrometeorology studies (HYDROX) during the NOAA Hydrometeorology Testbed (HMT)-West 2005–06 season in California [see Matrosov et al. (2007) for a description of the radar

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Ruping Mo, Chengzhi Ye, and Paul H. Whitfield

of forecast verification ( Brier and Allen 1951 ; McCuen and Snyder 1975 ; Willmott 1981 ; Murphy 1995 ; Legates and McCabe 1999 ; Wang et al. 2011 ). Alternative similarity metrics have been proposed for some specific applications in hydrometeorology. The “S1” score, proposed by Teweles and Wobus (1954) , measures the skill in predicting gradients that are meteorologically important. Nash and Sutcliffe (1970) defined the coefficient of efficiency as unity minus the ratio of the mean

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Steven M. Martinaitis, Benjamin Albright, Jonathan J. Gourley, Sarah Perfater, Tiffany Meyer, Zachary L. Flamig, Robert A. Clark, Humberto Vergara, and Mark Klein

-users. One research-to-operations platform to evaluate flash flood forecasting advancements was the annual Flash Flood and Intense Rainfall (FFaIR) experiment ( Barthold et al. 2015 ) hosted at the Weather Prediction Center (WPC) and conducted under the Hydrometeorology Testbed (HMT) banner. The 2016 FFaIR experiment brought together participants from across the weather enterprise in a simulated pseudo-operational environment to create experimental probabilistic forecasts and evaluate emerging models

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Richard G. Lawford, John Roads, Dennis P. Lettenmaier, and Phillip Arkin

improved forecast systems. Many of the functional interactions within GEWEX are summarized in Fig. 2 . This GEWEX special issue of the Journal of Hydrometeorology documents some of the most recent scientific contributions to GEWEX objectives and to our understanding of the large-scale hydrometeorological system. Precipitation is considered in the first section because of its role as the driver for land surface hydrology and for determining the distribution of the world’s renewable water resources

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Long Yang, James Smith, Mary Lynn Baeck, Efrat Morin, and David C. Goodrich

1. Introduction Arid/semiarid regions, covering a large fraction of the global land area ( Zeng et al. 2008 ), are affected by high-impact flooding associated with infrequent extreme rainfall events (e.g., Schick 1988 ). The hydrology, hydrometeorology, and hydroclimatology of flooding in arid/semiarid regions are poorly understood (e.g., Higgins et al. 2003 ), and yet are of great societal importance. Our study focuses on the central Arizona region in the southwestern United States. Much of

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Robert J. Zamora, Edward P. Clark, Eric Rogers, Michael B. Ek, and Timothy M. Lahmers

1. Introduction This paper presents an extensive look at the 23 July 2008 record flood in the Babocomari River basin located in southeastern Arizona ( Fig. 1 ) from both a meteorological and hydrological perspective. The Babocomari River is a major tributary of the San Pedro River and drains an area of 792 km 2 . The National Oceanic and Atmospheric Administration (NOAA) Hydrometeorology Testbed (HMT) program ( Ralph et al. 2005 ) instrumented this river basin in May 2008 in collaboration with

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Renato Ramos da Silva and Roni Avissar

modern satellites, and 2) improve our understanding of the effects of deforestation on the hydrometeorology of the Amazon basin. For that purpose, the model used here is set up to represent the landscape heterogeneity and convection at a very high resolution, it covers a large area, and it is compared with state-of-art observations collected during the LBA WetAMC. 2. Numerical experiments The Regional Atmospheric Modeling System (RAMS) ( Pielke et al. 1992 ; Cotton et al. 2003 ) is used here

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Alan K. Betts, Ahmed B. Tawfik, and Raymond L. Desjardins

1. Introduction The coupling between the energy and water cycles at the land surface is central to hydrometeorology and important to weather forecasts on time scales from days to seasons. On daily time scales, the land–atmosphere system is fully coupled, so errors in the model representation of processes in the soil, vegetation, boundary layer, and cloud fields can rapidly bias a model forecast. An earlier review, Betts (2004) , looked at hydrometeorology from the global modeling perspective

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