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Jørn Kristiansen, Dag Bjørge, John M. Edwards, and Gabriel G. Rooney

, however, different NWP models can be initialized from the same analysis, thereby increasing the flexibility and applicability of NWP models in weather forecasting and research, as shown, for instance, in the recent studies by García-Moya et al. (2011) , Kristiansen et al. (2011) , and McInnes et al. (2011) . Two NWP models are employed in this study. The high-resolution simulations, and the focus of this paper, are run using the nonhydrostatic Met Office (UKMO) Unified Model (MetUM; Davies et al

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Zhiyong Liu, Ping Zhou, and Yinqin Zhang

1. Introduction Effective and skillful streamflow forecasting is particularly important in improving flood prevention measures and optimizing the operation and management of available water resources. In the past few decades, data-driven models, for example, multiple linear regression (MLR), autoregressive moving average (ARMA), artificial neural network (ANN) models, and adaptive neuro-fuzzy inference system (ANFIS), have become popular for short- and long-term streamflow prediction

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Pablo C. Spennemann, Juan A. Rivera, Marisol Osman, A. Celeste Saulo, and Olga C. Penalba

drought index. The SPI is widely used for drought definition and monitoring due to its simplicity and flexibility, given that it is based only on precipitation data and can be calculated on any time scale. In this context, Y12 developed a method that combines 3 and 6 months of forecasted precipitation with observations to generate predictions of SPI over the United States using the National Centers for Environmental Prediction (NCEP) Climate Forecast System, version 1 (CFSv1; Saha et al. 2006

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R. D. Koster, S. P. P. Mahanama, T. J. Yamada, Gianpaolo Balsamo, A. A. Berg, M. Boisserie, P. A. Dirmeyer, F. J. Doblas-Reyes, G. Drewitt, C. T. Gordon, Z. Guo, J.-H. Jeong, W.-S. Lee, Z. Li, L. Luo, S. Malyshev, W. J. Merryfield, S. I. Seneviratne, T. Stanelle, B. J. J. M. van den Hurk, F. Vitart, and E. F. Wood

regions: the transition zones between arid and humid regions. One key motivation for studying and quantifying land–atmosphere coupling strength is the idea that soil moisture may play a role in meteorological forecasting ( Seneviratne et al. 2010 ). This coupling strength is indeed one of the two critical elements underlying soil moisture’s ability to influence forecasts. The other critical element is the forecasting of soil moisture itself—to take advantage of the coupling strength, a soil moisture

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Andrew C. Martin, F. Martin Ralph, Anna Wilson, Laurel DeHaan, and Brian Kawzenuk

depicts IVT (kg m −1 s −1 ). (c) The 6-hourly accumulated RRW-mean areal QPF issued by CNRFC at 1200 UTC 8 Dec (mm; green) and 1200 UTC 10 Dec 2014 (mm; blue) and the CNRFC QPE (mm; black). Time on ordinate axis refers to forecast or QPE valid time. Inset contains storm-total (1200 UTC 10 Dec–1200 UTC 13 Dec 2014) accumulated RRW-mean precipitation from each time series. (d) Guerneville river-stage forecast issued by CNRFC near 1200 UTC 8 Dec (mm; green) and near 1200 UTC 10 Dec (mm; blue) and

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E. I. Nikolopoulos, N. S. Bartsotas, E. N. Anagnostou, and G. Kallos

satellite QPE during heavy precipitation events in a western Mediterranean mountainous area. Following the general methodological framework of Zhang et al. (2013) , the objective of this work is to investigate and demonstrate how the use of high-resolution NWP forecasts could have improved radar and satellite QPE for the 2013 Colorado flash flood event. This work expands on that of Zhang et al. (2013) in two main aspects. First, a different NWP model is applied at high (1 km) resolution and simulated

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Ludovic Bouilloud, Katia Chancibault, Béatrice Vincendon, Véronique Ducrocq, Florence Habets, Georges-Marie Saulnier, Sandrine Anquetin, Eric Martin, and Joel Noilhan

in the catchment area water balance ( Saulnier and Datin 2004 ). This ISBA–TOPMODEL system was developed and evaluated in the framework of the prevention, information, and early warning (PREVIEW) European Commission’s Sixth Framework Programme (FP6) Integrated Project. The aim of this project was the development of real-time operational flash-flood forecasting systems for Mediterranean watersheds using high-resolution hydrometeorological coupled systems ( Vincendon et al. 2008 ). The specific aim

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Brian Golding, Nigel Roberts, Giovanni Leoncini, Ken Mylne, and Richard Swinbank

humidity tends to be high and strong convective inhibition is rarely observed. Extreme convective precipitation is frequently associated with surface airmass boundaries, such as fronts, and upper-level dynamical features, such as potential vorticity anomalies or filaments ( Roberts 2000 ). b. Forecasting convective precipitation Historically, rainfall predictions from NWP models have not met the needs of real-time hydrological prediction. For large river systems, short-range predictability was obtained

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Silvio Davolio, Francesco Silvestro, and Thomas Gastaldo

1. Introduction In the Mediterranean basin, many regions are frequently threatened by heavy precipitation events and floods, responsible every year for damage and loss of lives. High-impact weather due to rainfall exceeding 100 mm even within a few hours, and hourly intensities larger than 50–60 mm h −1 , are not uncommon in the region ( Ramis et al. 2009 ; Ricard et al. 2012 ; Rebora et al. 2013 ). Therefore, improving the understanding and forecasting of such events has recently become a

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Rajib Maity and S. S. Kashid

1. Introduction The management of land and water resources involves designing and operating water resources systems to cope with variability in rainfall and streamflow with time and space. Such variability in streamflow imposes many challenges in management of risks and opportunities associated with water resources systems. Reliable forecasts of streamflow a few weeks in advance can reasonably improve the management of water resources systems in rural as well as urban environments ( Chiew et al

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