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Kevin Werner and Kristen Yeager

1. Introduction This paper describes the 2011 peak streamflows in the Colorado basin and the Great Basin in an attempt to illuminate the forecasting efforts of the NOAA Colorado Basin River Forecast Center (CBRFC). A recent National Research Council (2012) report highlighted the difficulties in transferring research results into operational river forecasting as a major impediment to improving forecasts. The primary goal of this paper is to highlight three areas where research is most needed

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Declan Conway, Aurelie Persechino, Sandra Ardoin-Bardin, Hamisai Hamandawana, Claudine Dieulin, and Gil Mahé

1. Introduction a. The significance of water resources variability in Africa Rainfall and river flows in Africa display high levels of variability across a range of spatial and temporal scales, with important consequences for the management of water resource systems ( Sutcliffe and Knott 1987 ; Grove 1996 ; Laraque et al. 2001 ; Conway 2002 ; Ogutunde et al. 2006 ; Hamandawana 2007 ). Throughout Africa, this variability brings significant implications for society and causes widespread

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Aseem R. Sharma and Stephen J. Déry

gradients within the watersheds influence local precipitation and runoff processes across this region ( Jarosch et al. 2012 ; O’Neel et al. 2015 ; Reynoldson et al. 2005 ; Richardson and Milner 2005 ). The warm, moist air masses that result in heavy precipitation and floods in BCSAK are often associated with midlatitude horizontal water vapor transport through elongated moisture plumes emanating from the North Pacific Ocean called atmospheric rivers (ARs), also dubbed Pineapple Expresses ( Ralph et

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Ziyan Li, Shengzhi Huang, Shuai Zhou, Guoyong Leng, Dengfeng Liu, Qiang Huang, Hao Wang, Zhiming Han, and Hao Liang

on the response time between the two droughts. Barker et al. (2016) analyzed the propagation behavior of 121 natural watersheds in the United Kingdom based on the cross-correlation results of 1-month SSI with various SPI accumulation periods and found that longer SPI accumulation periods were strongly correlated with the 1-month SSI. Zhao et al. (2014) identified the duration of meteorological and hydrological drought in the Jing River basin and determined that the response time was

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Guofeng Zhu, Zhuanxia Zhang, Huiwen Guo, Yu Zhang, Leilei Yong, Qiaozhuo Wan, Zhigang Sun, and Huiying Ma

remaining ratio), d-excess decreases by about 1‰, linearly ( Froehlich et al. 2008 ). When raindrops fall through dry air masses, they tend to evaporate more easily ( Stewart 1975 ). Rain falling to the ground from the cloud base shows higher δ 18 O and δ D values ( Peng et al. 2007 ). At the same time, due to the influence of kinetic isotope fractionation, the slope and intercept of the LMWL line will both decrease ( Li et al. 2016a ; Peng et al. 2007 ). The Shiyang River basin (SRB) topography is

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Mark R. Jury

1. Introduction Lake Malawi is located in the African Rift Valley (center: 13°S, 34.5°E) with a basin area of 150 000 km 2 . The lake is deep (>300 m) with volume of ~8.4 × 10 9 m 3 , an area of 29 000 km 2 , and is 600 km north–south by ~40 km east–west at an elevation of 474 m. There are four major rivers providing inflow to the lake, while the Shire River is the southern outlet extending 400 km from Mangochi (14.5°S) to the Zambezi River. Over the first 130 km, the river meanders across a

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M. F. P. Bierkens and L. P. H. van Beek

1. Introduction The ability to properly forecast river discharge at seasonal time scales is extremely beneficial to society. By searching for accurate predictions of river discharge for the coming season, one may improve reservoir management and help to ensure drinking water and food supply, hydropower generation, and river navigability ( Trigo et al. 2004 ; Wilby et al. 2004 ; Cherry et al. 2005 ). This justifies the many attempts to relate river discharge to predictable, slowly varying

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Hector Macian-Sorribes, Ilias Pechlivanidis, Louise Crochemore, and Manuel Pulido-Velazquez

1. Introduction Predicting the hydrological response in a river basin over the coming seasons can be of significant added value for water resources management ( Contreras et al. 2020 ; Lavers et al. 2020 ). Recent investigations have demonstrated the benefits from the use of seasonal streamflow forecasting services at large (i.e., continental) and regional scales ( Crochemore et al. 2020 ; Y. Li et al. 2017 ; Pechlivanidis et al. 2020 ; Wanders et al. 2019 ). Statistical streamflow

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Erika K. Wise, Connie A. Woodhouse, Gregory J. McCabe, Gregory T. Pederson, and Jeannine-Marie St-Jacques

1. Introduction Described as an “unpredictable river in an unpredictable landscape” ( Galat et al. 2005 , p. 431), the 3726-km-long Missouri River ( Fig. 1 ) flows through a wide variety of climatic, geologic, and topographic zones from its headwaters at the Continental Divide to its confluence with the Mississippi River, traversing parts of the Rocky Mountain, Interior Plains, and Interior Highlands physiographic provinces ( Lettenmaier et al. 1999 ; Galat et al. 2005 ). The Missouri River

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Kichul Jung, Taha B. M. J. Ouarda, and Prashanth R. Marpu

used in RFA have not evolved much in recent decades. Noteworthy gains could result from the integration of drainage network features as new variables in group delineation and regional transfer models, as the characterization of river networks depends on climatic, physiographic, and topographic constraints ( Horton 1945 ; Daniel 1981 ; Burbank 1992 ), and flood dynamics are correlated with the drainage density of a basin ( Pallard et al. 2009 ). Information on river network types and their

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