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Jinyoung Rhee and Jaepil Cho

, four major river basins were also examined individually, in addition to an analysis of the entire area (ENT). 2. Data and methodology a. Study area and observation data The study was performed in South Korea, in northeastern Asia ( Fig. 1 ). There are four major river basins in the southern part of the peninsula: the Han, Nakdong, Geum, and Yeongsan–Sumjin River basins. The locations of the river basins and the number of Automated Surface Observing System (ASOS) weather stations in each basin are

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Aijing Zhang, Wenbin Liu, Zhenliang Yin, Guobin Fu, and Chunmiao Zheng

hydrological changes to assist in the development of adaptive strategies for effective water resource and ecological management are urgently needed in the HRB. Fig . 1. (a) Location of the study area, (b) DEM map with the locations of the hydrometeorological stations in the study area, and (c) subbasins and land-cover map of the study area. Relevant studies have found that a change from a warm-dry climate to a warm-wet climate in northwest China started in the late 1980s ( Shi et al. 2007 ). In the HRB

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R. Garreaud, M. Falvey, and A. Montecinos

passage of frontal systems embedded in midlatitude cyclones. To this end, we use an enhanced network of surface observations, a full-physics simulation using the Weather Research and Forecasting (WRF) Model, and results from a linear theory (LT) model developed by Smith and Barstad (2004) . Details on the observations and models are provided in section 2 . A geographical background and meteorological context is provided in section 3 and appendix A . A description of the orographic precipitation

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Roop Saini, Guiling Wang, and Jeremy S. Pal

with RegCM. The locations of the strongest soil moisture anomalies generally agree well between RegCM and GLDAS, with exceptions in the early spring months of 1988 and 2012 over Mexico and part of the southern Great Plains, where RegCM produces a strong wet signal while GLDAS data indicate a drought signal. The large magnitude of spring–summer soil moisture anomalies over the central United States makes it possible for soil moisture–precipitation feedback to contribute to the development of summer

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Laurie Agel, Mathew Barlow, Jian-Hua Qian, Frank Colby, Ellen Douglas, and Timothy Eichler

for inland stations. Fig . 2. (a) The geographical separation of Northeast USHCN coastal and inland stations, and the characteristic seasonal cycle of PI for each station. The station seasonal cycles for (b) PD, (c) PI, and (d) PT are also shown. The thick black line shows the mean of all stations, and the colored lines show the individual contribution of each station. Based on the shapes of the seasonal cycles and geographic location, the stations are separated into 16 coastal (blue lines) and 19

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Joel Arnault, Sven Wagner, Thomas Rummler, Benjamin Fersch, Jan Bliefernicht, Sabine Andresen, and Harald Kunstmann

Woodward 2001 ), for an idealized case study of convective initiation in a 600-km 2 watershed in Oklahoma, United States. Numerical experiments at 1-km horizontal resolution with PF.ARPS and ARPS stand-alone were conducted for a 36-h period. The PF.ARPS simulation additionally used 390 soil layers with a spacing of 0.5 m for resolving subsurface water flows in the full aquifer depth. Maxwell et al. (2007) found significant differences in the location of convective cells at the end of the 36-h run

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Pradeep V. Mandapaka, Xiaosheng Qin, and Edmond Yat-Man Lo

study area Figure 1 shows a map of the WMC region and the location of Singapore and Jakarta. Singapore lies near the southern tip of Peninsular Malaysia, between 1.2° and 1.5°N and 103.5° and 104.1°E. Most of the island nation is at about 15 m above mean sea level. The special capital region of Jakarta [Daerah Khusus Ibukota Jakarta (Jakarta DKI)] lies in the northwestern part of the island of Java, between 6.0° and 6.4°S and 106.6° and 107.1°E. The region is part of a delta formed by as many as 13

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Guoqiang Tang, Ziyue Zeng, Di Long, Xiaolin Guo, Bin Yong, Weihua Zhang, and Yang Hong

, and global hydrological analysis. It has already been deployed as a core model in several operational systems including the Flooded Locations and Simulated Hydrographs Project (FLASH; ) and the Near Realtime Global Hydrological Simulation and Flood Monitoring Demonstration System ( ). The CREST model has been implemented successfully in a variety of multiscale hydrological studies ( Meng et al. 2014 ; Wu et al. 2012 ; Xue et al. 2013

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Juan Sulca, Mathias Vuille, Yamina Silva, and Ken Takahashi

and flooding cause landslides and damage to infrastructure. However, the knowledge about the physical mechanisms and origins of these extreme hydrometeorological events in the Mantaro basin is currently very poor. Fig . 1. Location of MB, NEB (black box), and stations used. Most work so far has instead focused on analyzing trends in rainfall for a few selected areas in Peru. For example, Haylock et al. (2006) documented a trend toward an increase in wet extremes in Ecuador and northern Peru

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Clare Webster, Nick Rutter, Franziska Zahner, and Tobias Jonas

results from different sites, locations, and radiometer configurations because of strong spatial variation in subcanopy incoming shortwave and longwave radiation ( Essery et al. 2008b ). In particular, how these three selected configurations perform relative to each other in how they capture the subcanopy radiation variability has not yet been assessed. This paper compares subcanopy incoming longwave and shortwave radiation measurements from three different radiometer configurations (stationary

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