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1

Kunstmann, H., J. Krause, and S. Mayr. "Inverse distributed hydrological modelling of alpine catchments." Hydrology and Earth System Sciences Discussions 2, no. 6 (2005): 2581–623. http://dx.doi.org/10.5194/hessd-2-2581-2005.

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Abstract. Even in physically based distributed hydrological models, various remaining parameters must be estimated for each sub-catchment. This can involve tremendous effort, especially when the number of sub-catchments is large and the applied hydrological model is computationally expensive. Automatic parameter estimation tools can significantly facilitate the calibration process. Hence, we combined the nonlinear parameter estimation tool PEST with the distributed hydrological model WaSiM. PEST is based on the Gauss-Marquardt-Levenberg method, a gradient-based nonlinear parameter estimation a
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2

Kunstmann, H., J. Krause, and S. Mayr. "Inverse distributed hydrological modelling of Alpine catchments." Hydrology and Earth System Sciences 10, no. 3 (2006): 395–412. http://dx.doi.org/10.5194/hess-10-395-2006.

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Abstract. Even in physically based distributed hydrological models, various remaining parameters must be estimated for each sub-catchment. This can involve tremendous effort, especially when the number of sub-catchments is large and the applied hydrological model is computationally expensive. Automatic parameter estimation tools can significantly facilitate the calibration process. Hence, we combined the nonlinear parameter estimation tool PEST with the distributed hydrological model WaSiM. PEST is based on the Gauss-Marquardt-Levenberg method, a gradient-based nonlinear parameter estimation a
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3

Ocio, D., T. Beskeen, and K. Smart. "Fully distributed hydrological modelling for catchment-wide hydrological data verification." Hydrology Research 50, no. 6 (2019): 1520–34. http://dx.doi.org/10.2166/nh.2019.006.

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Abstract Hydrological data scarcity and uncertainty is a fundamental challenge in hydrology, particularly in places with weak or declining investment in hydrometric networks. It is well established that fully distributed hydrological models can provide robust estimation of flows at ungauged locations, through local calibration and regionalisation using spatial datasets of physical properties. Even in situations where data are abundant, the existence of inconsistent information is not uncommon. The measurement, estimation or interpolation of rainfall, potential evapotranspiration and flow as we
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4

Semenova, Olga, and Keith Beven. "Barriers to progress in distributed hydrological modelling." Hydrological Processes 29, no. 8 (2015): 2074–78. http://dx.doi.org/10.1002/hyp.10434.

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5

Uhlenbrook, Stefan, Alberto Montanari, and João L. M. P. de Lima. "Preface to the special issue: “Hydrological processes and distributed hydrological modelling”." Physics and Chemistry of the Earth, Parts A/B/C 28, no. 6-7 (2003): 225. http://dx.doi.org/10.1016/s1474-7065(03)00031-7.

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6

Dehotin, J., and I. Braud. "Which spatial discretization for which distributed hydrological model?" Hydrology and Earth System Sciences Discussions 4, no. 2 (2007): 777–829. http://dx.doi.org/10.5194/hessd-4-777-2007.

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Abstract. Distributed hydrological models are valuable tools to derive distributed estimation of water balance components or to study the impact of land-use or climate change on water resources and water quality. In these models, the choice of an appropriate spatial scale for the modelling units is a crucial issue. It is obviously linked to the available data and their scale, but not only. For a given catchment and a given data set, the "optimal" spatial discretization should be different according to the problem to be solved and the objectives of the modelling. Thus a flexible methodology is
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7

Beven*, K. "How far can we go in distributed hydrological modelling?" Hydrology and Earth System Sciences 5, no. 1 (2001): 1–12. http://dx.doi.org/10.5194/hess-5-1-2001.

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Abstract. This paper considers distributed hydrological models in hydrology as an expression of a pragmatic realism. Some of the problems of distributed modelling are discussed including the problem of nonlinearity, the problem of scale, the problem of equifinality, the problem of uniqueness and the problem of uncertainty. A structure for the application of distributed modelling is suggested based on an uncertain or fuzzy landscape space to model space mapping. This is suggested as the basis for an Alternative Blueprint for distributed modelling in the form of an application methodology. This
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8

Overgaard, J., D. Rosbjerg, and M. B. Butts. "Land-surface modelling in hydrological perspective." Biogeosciences Discussions 2, no. 6 (2005): 1815–48. http://dx.doi.org/10.5194/bgd-2-1815-2005.

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Abstract. A comprehensive review of energy-based land-surface modelling, as seen from a hydrological perspective, is provided. We choose to focus on energy-based approaches, because in comparison to the traditional potential evapotranspiration models, these approaches allow for a stronger link to remote sensing and atmospheric modelling. New opportunities for evaluation of distributed land-surface models through application of remote sensing are discussed in detail, and the difficulties inherent in various evaluation procedures are presented. Remote sensing is the only source of distributed da
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9

Beven, Keith. "Prophecy, reality and uncertainty in distributed hydrological modelling." Advances in Water Resources 16, no. 1 (1993): 41–51. http://dx.doi.org/10.1016/0309-1708(93)90028-e.

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10

Mendoza, Manuel, Gerardo Bocco, and Miguel Bravo. "Spatial prediction in hydrology: status and implications in the estimation of hydrological processes for applied research." Progress in Physical Geography: Earth and Environment 26, no. 3 (2002): 319–38. http://dx.doi.org/10.1191/0309133302pp335ra.

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Based on a review of research, the linkages between distributed hydrological modelling (DHM) remote sensing (RS) and geographical information system (GIS) techniques, coupled with geomorphological knowledge are discussed. While presenting characteristics of the models, techniques, and supporting analytical tools of geographical hydrology, the emphasis is on the estimation of hydrological variables. The first is limited to the spatialization and integration of low resolution meteorological data with hydrological models in a GIS environment. The second includes research in the calculation of pre
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11

Gebremeskel, Seifu, Yong B. Liu, F. de Smedt, Lucien Hoffmann, and Laurent Pfister. "Assessing the hydrological effects of Landuse changes using distributed hydrological modelling and GIS." International Journal of River Basin Management 3, no. 4 (2005): 261–71. http://dx.doi.org/10.1080/15715124.2005.9635266.

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12

Kunstmann, Harald, and Christiane Stadler. "High resolution distributed atmospheric-hydrological modelling for Alpine catchments." Journal of Hydrology 314, no. 1-4 (2005): 105–24. http://dx.doi.org/10.1016/j.jhydrol.2005.03.033.

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13

Mazzoleni, M., L. Brandimarte, and A. Amaranto. "Evaluating precipitation datasets for large-scale distributed hydrological modelling." Journal of Hydrology 578 (November 2019): 124076. http://dx.doi.org/10.1016/j.jhydrol.2019.124076.

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14

Egüen, M., C. Aguilar, J. Herrero, A. Millares, and M. J. Polo. "On the influence of cell size in physically-based distributed hydrological modelling to assess extreme values in water resource planning." Natural Hazards and Earth System Sciences 12, no. 5 (2012): 1573–82. http://dx.doi.org/10.5194/nhess-12-1573-2012.

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Abstract. This paper studies the influence of changing spatial resolution on the implementation of distributed hydrological modelling for water resource planning in Mediterranean areas. Different cell sizes were used to investigate variations in the basin hydrologic response given by the model WiMMed, developed in Andalusia (Spain), in a selected watershed. The model was calibrated on a monthly basis from the available daily flow data at the reservoir that closes the watershed, for three different cell sizes, 30, 100, and 500 m, and the effects of this change on the hydrological response of th
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15

Ichiba, Abdellah, Auguste Gires, Ioulia Tchiguirinskaia, Daniel Schertzer, Philippe Bompard, and Marie-Claire Ten Veldhuis. "Scale effect challenges in urban hydrology highlighted with a distributed hydrological model." Hydrology and Earth System Sciences 22, no. 1 (2018): 331–50. http://dx.doi.org/10.5194/hess-22-331-2018.

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Abstract. Hydrological models are extensively used in urban water management, development and evaluation of future scenarios and research activities. There is a growing interest in the development of fully distributed and grid-based models. However, some complex questions related to scale effects are not yet fully understood and still remain open issues in urban hydrology. In this paper we propose a two-step investigation framework to illustrate the extent of scale effects in urban hydrology. First, fractal tools are used to highlight the scale dependence observed within distributed data input
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16

Overgaard, J., D. Rosbjerg, and M. B. Butts. "Land-surface modelling in hydrological perspective – a review." Biogeosciences 3, no. 2 (2006): 229–41. http://dx.doi.org/10.5194/bg-3-229-2006.

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Abstract. The purpose of this paper is to provide a review of the different types of energy-based land-surface models (LSMs) and discuss some of the new possibilities that will arise when energy-based LSMs are combined with distributed hydrological modelling. We choose to focus on energy-based approaches, because in comparison to the traditional potential evapotranspiration models, these approaches allow for a stronger link to remote sensing and atmospheric modelling. New opportunities for evaluation of distributed land-surface models through application of remote sensing are discussed in deta
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17

Bhattacharya, Biswa, Maurizio Mazzoleni, and Reyne Ugay. "Flood Inundation Mapping of the Sparsely Gauged Large-Scale Brahmaputra Basin Using Remote Sensing Products." Remote Sensing 11, no. 5 (2019): 501. http://dx.doi.org/10.3390/rs11050501.

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Sustainable water management is one of the important priorities set out in the Sustainable Development Goals (SDGs) of the United Nations, which calls for efficient use of natural resources. Efficient water management nowadays depends a lot upon simulation models. However, the availability of limited hydro-meteorological data together with limited data sharing practices prohibits simulation modelling and consequently efficient flood risk management of sparsely gauged basins. Advances in remote sensing has significantly contributed to carrying out hydrological studies in ungauged or sparsely ga
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18

Ewen, John, Enda O'Connell, James Bathurst, et al. "Physically-based modelling, uncertainty, and pragmatism – Comment on: ‘Système Hydrologique Europeén (SHE): review and perspectives after 30 years development in distributed physically-based hydrological modelling’ by Jens Christian Refsgaard, Børge Storm and Thomas Clausen." Hydrology Research 43, no. 6 (2012): 945–47. http://dx.doi.org/10.2166/nh.2012.138.

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The Système Hydrologique Europeén (SHE) modelling system and physically-based distributed modelling (PBDM) were discussed in Refsgaard et al.'s Système Hydrologique Europeén (SHE): review and perspectives after 30 years development in distributed physically-based hydrological modelling (Hydrology Research41, pp. 355–377). The opportunity is taken here to correct some oversights and potentially misleading perspectives in that paper and mount a more robust defence of PBDM.
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19

Ali, Muhammad Haris, Ioana Popescu, Andreja Jonoski, and Dimitri P. Solomatine. "Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review." Remote Sensing 15, no. 6 (2023): 1642. http://dx.doi.org/10.3390/rs15061642.

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This research paper presents a systematic literature review on the use of remotely sensed and/or global datasets in distributed hydrological modelling. The study aims to investigate the most commonly used datasets in hydrological models and their performance across different geographical scales of catchments, including the micro-scale (<10 km2), meso-scale (10 km2–1000 km2), and macro-scale (>1000 km2). The analysis included a search for the relation between the use of these datasets to different regions and the geographical scale at which they are most widely used. Additionally, co-auth
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20

KLOK, E. J., K. JASPER, K. P. ROELOFSMA, J. GURTZ, and A. BADOUX. "Distributed hydrological modelling of a heavily glaciated Alpine river basin." Hydrological Sciences Journal 46, no. 4 (2001): 553–70. http://dx.doi.org/10.1080/02626660109492850.

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21

Settesoldi, D., F. Preti, C. Lubello, and I. Becchi. "ALGORITHMS FOR PESTICIDES TRANSPORT DISTRIBUTED MODELLING." Water Science and Technology 30, no. 2 (1994): 131–40. http://dx.doi.org/10.2166/wst.1994.0036.

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In order to build up distributed models which require a proper evaluation of the different hydrological, sedimentological and chemical variables, various algorithms developed and based on results obtained in former experiences are here presented. A digital model which divides the catchment with a square grid to obtain a set of cells, called rasters, is adopted and all quantities playing a role in the model are represented according to this methodology. They are geographic (elevation, watersheds, channels network, exposure, flowing index, etc.), geological and pedological (gravitational and cap
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22

Konz, M., M. Chiari, S. Rimkus, et al. "Sediment transport modelling in a distributed physically based hydrological catchment model." Hydrology and Earth System Sciences Discussions 7, no. 5 (2010): 7591–631. http://dx.doi.org/10.5194/hessd-7-7591-2010.

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Abstract. Sediment transport and erosion processes in channels are important components of water induced natural hazards in alpine environments. A distributed hydrological model, TOPKAPI, has been developed to support continuous simulations of river bed erosion and deposition processes. The hydrological model simulates all relevant components of the water cycle and non-linear reservoir methods are applied for water fluxes in the soil, on the surface and in the channel. The sediment transport simulations are performed on a sub-grid level, which allows for a better discretization of the channel
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23

Knudsen, J., A. Thomsen, and J. Chr Refsgaard. "WATBAL." Hydrology Research 17, no. 4-5 (1986): 347–62. http://dx.doi.org/10.2166/nh.1986.0026.

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A semi-distributed, physically based hydrological modelling system, WATBAL, which accounts for the entire land phase of the hydrological cycle is described. As compared to the two alternative hydrological model types, i.e. the traditional lumped, conceptual rainfall runoff models (STANFORD model type) and the complex, fully distributed, physically based model (SHE model type) WATBAL represents an intermediate approach. In the model, primary attention is given to the hydrological processes at the root zone level through a distributed, physically based approach whereas the groundwater processes
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24

Herath, Herath Mudiyanselage Viraj Vidura, Jayashree Chadalawada, and Vladan Babovic. "Hydrologically informed machine learning for rainfall–runoff modelling: towards distributed modelling." Hydrology and Earth System Sciences 25, no. 8 (2021): 4373–401. http://dx.doi.org/10.5194/hess-25-4373-2021.

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Abstract. Despite showing great success of applications in many commercial fields, machine learning and data science models generally show limited success in many scientific fields, including hydrology (Karpatne et al., 2017). The approach is often criticized for its lack of interpretability and physical consistency. This has led to the emergence of new modelling paradigms, such as theory-guided data science (TGDS) and physics-informed machine learning. The motivation behind such approaches is to improve the physical meaningfulness of machine learning models by blending existing scientific kno
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25

St. Laurent, M. E., and C. Valeo. "Large-scale distributed watershed modelling for reservoir operations in cold boreal regions." Canadian Journal of Civil Engineering 34, no. 4 (2007): 525–38. http://dx.doi.org/10.1139/l06-142.

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The macroscale deterministic hydrologic model, SLURP, was modified and tested on two large watersheds in northern Manitoba, the Taylor River watershed (899 km2) and the upper Burntwood River watershed (6959 km2). Calibration and validation of the model on both watersheds between 1985 and 2000 identified a number of model deficiencies and recommendations for improvement. Date-dependent snowmelt rates were replaced with a single constant snowmelt rate, helping to decrease the parameterization of the model. A snowpack temperature deficit model was also incorporated to simulate the effects of snow
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van Verseveld, Willem J., Albrecht H. Weerts, Martijn Visser, et al. "Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications." Geoscientific Model Development 17, no. 8 (2024): 3199–234. http://dx.doi.org/10.5194/gmd-17-3199-2024.

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Abstract. The wflow_sbm hydrological model, recently released by Deltares, as part of the Wflow.jl (v0.7.3) modelling framework, is being used to better understand and potentially address multiple operational and water resource planning challenges from a catchment scale to national scale to continental and global scale. Wflow.jl is a free and open-source distributed hydrological modelling framework written in the Julia programming language. The development of wflow_sbm, the model structure, equations and functionalities are described in detail, including example applications of wflow_sbm. The
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27

Frey, S., and H. Holzmann. "A conceptual, distributed snow redistribution model." Hydrology and Earth System Sciences 19, no. 11 (2015): 4517–30. http://dx.doi.org/10.5194/hess-19-4517-2015.

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Abstract. When applying conceptual hydrological models using a temperature index approach for snowmelt to high alpine areas often accumulation of snow during several years can be observed. Some of the reasons why these "snow towers" do not exist in nature are vertical and lateral transport processes. While snow transport models have been developed using grid cell sizes of tens to hundreds of square metres and have been applied in several catchments, no model exists using coarser cell sizes of 1 km2, which is a common resolution for meso- and large-scale hydrologic modelling (hundreds to thousa
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28

Thapa, Bibek, Anusha Danegulu, Naresh Suwal, Surabhi Upadhyay, Bikesh Manandhar, and Rajaram Prajapati. "Rainfall-Runoff Modelling of the West Rapti Basin, Nepal." Technical Journal 2, no. 1 (2020): 99–107. http://dx.doi.org/10.3126/tj.v2i1.32846.

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A hydrological model helps in understanding, predicting, and managing water resources. The HEC-HMS (Centre for Hydrological Engineering - Hydrological Modelling Systems, US Army Corps of Engineers) is one of the hydrological models used to simulate rainfall-runoff and routing processes in diverse geographical areas. In this study, a semi-distributed hydrological model was developed using HEC-HMS for the West-Rapti river basin. The model was calibrated and validated at each outlet of sub-basins and used to simulate the outflow of each sub-basins of the West Rapti river basin. A total of eight r
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29

Konz, M., M. Chiari, S. Rimkus, et al. "Sediment transport modelling in a distributed physically based hydrological catchment model." Hydrology and Earth System Sciences 15, no. 9 (2011): 2821–37. http://dx.doi.org/10.5194/hess-15-2821-2011.

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Abstract. Bedload sediment transport and erosion processes in channels are important components of water induced natural hazards in alpine environments. A raster based distributed hydrological model, TOPKAPI, has been further developed to support continuous simulations of river bed erosion and deposition processes. The hydrological model simulates all relevant components of the water cycle and non-linear reservoir methods are applied for water fluxes in the soil, on the ground surface and in the channel. The sediment transport simulations are performed on a sub-grid level, which allows for a b
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30

Cole, Steven J., and Robert J. Moore. "Distributed hydrological modelling using weather radar in gauged and ungauged basins." Advances in Water Resources 32, no. 7 (2009): 1107–20. http://dx.doi.org/10.1016/j.advwatres.2009.01.006.

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31

Boegh, E., M. Thorsen, M. B. Butts, et al. "Incorporating remote sensing data in physically based distributed agro-hydrological modelling." Journal of Hydrology 287, no. 1-4 (2004): 279–99. http://dx.doi.org/10.1016/j.jhydrol.2003.10.018.

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32

Vieux, Baxter E., and Nadim S. Farajalla. "Capturing the essential spatial variability in distributed hydrological modelling: Hydraulic roughness." Hydrological Processes 8, no. 3 (1994): 221–36. http://dx.doi.org/10.1002/hyp.3360080304.

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33

Farajalla, Nadim S., and Baxter E. Vieux. "Capturing the essential spatial variability in distributed hydrological modelling: Infiltration parameters." Hydrological Processes 9, no. 1 (1995): 55–68. http://dx.doi.org/10.1002/hyp.3360090106.

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34

Karssenberg, Derek. "The value of environmental modelling languages for building distributed hydrological models." Hydrological Processes 16, no. 14 (2002): 2751–66. http://dx.doi.org/10.1002/hyp.1068.

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35

Ye, Aizhong, Zheng Zhou, Jinjun You, Feng Ma, and Qingyun Duan. "Dynamic Manning's roughness coefficients for hydrological modelling in basins." Hydrology Research 49, no. 5 (2018): 1379–95. http://dx.doi.org/10.2166/nh.2018.175.

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Abstract Manning's roughness coefficient (n) has a significant impact on routing in hydrological models. However, computational methods for dynamic roughness coefficients are of little concern in current research. Few studies have produced spatial-temporal distributions of the roughness coefficients in basins. In this study, a formula to calculate the n value was established based on a statistical analysis of estimated n values by Manning's formula. The routing model of a distributed hydrological model was then improved using the new formula to calculate n. The roughness coefficient is not a c
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36

Bancheri, Marialaura, Riccardo Rigon, and Salvatore Manfreda. "The GEOframe-NewAge Modelling System Applied in a Data Scarce Environment." Water 12, no. 1 (2019): 86. http://dx.doi.org/10.3390/w12010086.

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In this work, the semi-distributed hydrological modeling system GEOframe-NewAge was integrated with a web-based decision support system implemented for the Civil Protection Agency of the Basilicata region, Italy. The aim of this research was to forecast in near real-time the most important hydrological variables at 160 control points distributed over the entire region. The major challenge was to make the system operational in a data-scarce region characterized by a high hydraulic complexity, with several dams and infrastructures. In fact, only six streamflow gauges were available for the calib
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37

Crosta, G. B., and P. Frattini. "Distributed modelling of shallow landslides triggered by intense rainfall." Natural Hazards and Earth System Sciences 3, no. 1/2 (2003): 81–93. http://dx.doi.org/10.5194/nhess-3-81-2003.

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Abstract. Hazard assessment of shallow landslides represents an important aspect of land management in mountainous areas. Among all the methods proposed in the literature, physically based methods are the only ones that explicitly includes the dynamic factors that control landslide triggering (rainfall pattern, land-use). For this reason, they allow forecasting both the temporal and the spatial distribution of shallow landslides. Physically based methods for shallow landslides are based on the coupling of the infinite slope stability analysis with hydrological models. Three different grid-base
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Wimmer, F., S. Schlaffer, T. aus der Beek, and L. Menzel. "Distributed modelling of climate change impacts on snow sublimation in Northern Mongolia." Advances in Geosciences 21 (August 12, 2009): 117–24. http://dx.doi.org/10.5194/adgeo-21-117-2009.

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Abstract. Sublimation of snow is an important factor of the hydrological cycle in Mongolia and is likely to increase according to future climate projections. In this study the hydrological model TRAIN was used to assess spatially distributed current and future sublimation rates based on interpolated daily data of precipitation, air temperature, air humidity, wind speed and solar radiation. An automated procedure for the interpolation of the input data is provided. Depending on the meteorological parameter and the data availability for the individual days, the most appropriate interpolation met
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39

Conradt, T., F. Wechsung, and A. Bronstert. "Three perceptions of the evapotranspiration landscape: comparing spatial patterns from a distributed hydrological model, remotely sensed surface temperatures, and sub-basin water balances." Hydrology and Earth System Sciences 17, no. 7 (2013): 2947–66. http://dx.doi.org/10.5194/hess-17-2947-2013.

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Abstract. A problem encountered by many distributed hydrological modelling studies is high simulation errors at interior gauges when the model is only globally calibrated at the outlet. We simulated river runoff in the Elbe River basin in central Europe (148 268 km2) with the semi-distributed eco-hydrological model SWIM (Soil and Water Integrated Model). While global parameter optimisation led to Nash–Sutcliffe efficiencies of 0.9 at the main outlet gauge, comparisons with measured runoff series at interior points revealed large deviations. Therefore, we compared three different strategies for
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40

Conradt, T., F. Wechsung, and A. Bronstert. "Three perceptions of the evapotranspiration landscape: comparing spatial patterns from a distributed hydrological model, remotely sensed surface temperatures, and sub-basin water balances." Hydrology and Earth System Sciences Discussions 10, no. 1 (2013): 1127–83. http://dx.doi.org/10.5194/hessd-10-1127-2013.

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Abstract. A problem encountered by many distributed hydrological modelling studies is high simulation errors at interior gauges when the model is only globally calibrated at the outlet. We simulated river runoff in the Elbe River basin in Central Europe (148 268 km2) with the semi-distributed eco-hydrological model SWIM. While global parameter optimisation led to Nash–Sutcliffe efficiencies of 0.9 at the main outlet gauge, comparisons with measured runoff series at interior points revealed large deviations. Therefore, we compared three different stategies for deriving sub-basin evapotranspirat
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41

Gérard-Marchant, P., W. D. Hively, and T. S. Steenhuis. "Distributed hydrological modelling of total dissolved phosphorus transport in an agricultural landscape, part I: distributed runoff generation." Hydrology and Earth System Sciences Discussions 2, no. 4 (2005): 1537–79. http://dx.doi.org/10.5194/hessd-2-1537-2005.

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Abstract. Successful implementation of best management practices for reducing non-point source (NPS) pollution requires knowledge of the location of saturated areas that produce runoff. A physically-based, fully-distributed, GIS-integrated model, the Soil Moisture Distribution and Routing (SMDR) model was developed to simulate the hydrologic behavior of small rural upland watersheds with shallow soils and steep to moderate slopes. The model assumes that gravity is the only driving force of water and that most overland flow occurs as saturation excess. The model uses available soil and climatic
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42

Gérard-Marchant, P., W. D. Hively, and T. S. Steenhuis. "Distributed hydrological modelling of total dissolved phosphorus transport in an agricultural landscape, part I: distributed runoff generation." Hydrology and Earth System Sciences 10, no. 2 (2006): 245–61. http://dx.doi.org/10.5194/hess-10-245-2006.

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Abstract. Successful implementation of best management practices for reducing non-point source (NPS) pollution requires knowledge of the location of saturated areas that produce runoff. A physically-based, fully-distributed, GIS-integrated model, the Soil Moisture Distribution and Routing (SMDR) model was developed to simulate the hydrologic behavior of small rural upland watersheds with shallow soils and steep to moderate slopes. The model assumes that gravity is the only driving force of water and that most overland flow occurs as saturation excess. The model uses available soil and climatic
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Zhu, D., Y. Xuan, and I. Cluckie. "Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures." Hydrology and Earth System Sciences 18, no. 1 (2014): 257–72. http://dx.doi.org/10.5194/hess-18-257-2014.

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Abstract. Radar rainfall estimates have become increasingly available for hydrological modellers over recent years, especially for flood forecasting and warning over poorly gauged catchments. However, the impact of using radar rainfall as compared with conventional raingauge inputs, with respect to various hydrological model structures, remains unclear and yet to be addressed. In the study presented by this paper, we analysed the flow simulations of the upper Medway catchment of southeast England using the UK NIMROD radar rainfall estimates, using three hydrological models based upon three ver
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Zhu, D., Y. Xuan, and I. Cluckie. "Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures." Hydrology and Earth System Sciences Discussions 10, no. 8 (2013): 10495–534. http://dx.doi.org/10.5194/hessd-10-10495-2013.

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Abstract. Radar rainfall estimates have become increasingly available for hydrological modellers over recent years, especially for flood forecasting and warning over poorly gauged catchments. However, the impact of using radar rainfall as compared with conventional raingauge inputs, with respect to various hydrological model structures, remains unclear and yet to be addressed. In the study presented by this paper, we analysed the flow simulations of the Upper Medway catchment of Southeast England using the UK NIMROD radar rainfall estimates using three hydrological models based upon three very
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Efstratiadis, A., I. Nalbantis, A. Koukouvinos, E. Rozos, and D. Koutsoyiannis. "HYDROGEIOS: A semi-distributed GIS-based hydrological model for disturbed river basins." Hydrology and Earth System Sciences Discussions 4, no. 3 (2007): 1947–98. http://dx.doi.org/10.5194/hessd-4-1947-2007.

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Abstract. The HYDROGEIOS modelling framework represents the main processes of the hydrological cycle in heavily disturbed catchments, with decision-depended abstractions and interactions between surface and groundwater flows. A semi-distributed approach and a monthly simulation time step are adopted, which are sufficient for water resources management studies. The modelling philosophy aims to ensure consistency with the physical characteristics of the system, while keeping the number of parameters as low as possible. Therefore, multiple levels of schematisation and parameterisation are adopted
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Efstratiadis, A., I. Nalbantis, A. Koukouvinos, E. Rozos, and D. Koutsoyiannis. "HYDROGEIOS: a semi-distributed GIS-based hydrological model for modified river basins." Hydrology and Earth System Sciences 12, no. 4 (2008): 989–1006. http://dx.doi.org/10.5194/hess-12-989-2008.

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Abstract. The HYDROGEIOS modelling framework represents the main processes of the hydrological cycle in heavily modified catchments, with decision-depended abstractions and interactions between surface and groundwater flows. A semi-distributed approach and a monthly simulation time step are adopted, which are sufficient for water resources management studies. The modelling philosophy aims to ensure consistency with the physical characteristics of the system, while keeping the number of parameters as low as possible. Therefore, multiple levels of schematization and parameterization are adopted,
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Nasr, A., A. Taskinen, and M. Bruen. "Developing an independent, generic, phosphorus modelling component for use with grid-oriented, physically based distributed catchment models." Water Science and Technology 51, no. 3-4 (2005): 135–42. http://dx.doi.org/10.2166/wst.2005.0584.

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Grid-oriented, physically based catchment models calculate fields of various hydrological variables relevant to phosphorus detachment and transport. These include (i) for surface transport: overland flow depth and flow in the coordinate directions, sediment load, and sediment concentration and (ii) for subsurface transport: soil moisture and hydraulic head at various depths in the soil. These variables can be considered as decoupled from any chemical phosphorus model since phosphorus concentrations, either as dissolved or particulate, do not influence the model calculations of the hydrological
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Wallner, M., U. Haberlandt, and J. Dietrich. "Evaluation of different calibration strategies for large scale continuous hydrological modelling." Advances in Geosciences 31 (September 10, 2012): 67–74. http://dx.doi.org/10.5194/adgeo-31-67-2012.

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Abstract. For the analysis of climate impact on flood flows and flood frequency in macroscale river basins, hydrological models can be forced by several sets of hourly long-term climate time series. Considering the large number of model units, the small time step and the required recalibrations for different model forcing an efficient calibration strategy and optimisation algorithm are essential. This study investigates the impact of different calibration strategies and different optimisation algorithms on the performance and robustness of a semi-distributed model. The different calibration st
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Marsh, Christopher B., John W. Pomeroy, and Howard S. Wheater. "The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview." Geoscientific Model Development 13, no. 1 (2020): 225–47. http://dx.doi.org/10.5194/gmd-13-225-2020.

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Abstract. Despite debate in the rainfall–runoff hydrology literature about the merits of physics-based and spatially distributed models, substantial work in cold-region hydrology has shown improved predictive capacity by including physics-based process representations, relatively high-resolution semi-distributed and fully distributed discretizations, and the use of physically identifiable parameters that require limited calibration. While there is increasing motivation for modelling at hyper-resolution (< 1 km) and snowdrift-resolving scales (≈ 1 to 100 m), the capabilities of existing cold
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Pion, Caroline, Robert Leconte, Jean Rousselle, and Sébastien Gagnon. "Modélisation de l'évapotranspiration réelle à l'échelle régionale pour des bassins versants situés dans la forêt boréale." Canadian Journal of Civil Engineering 32, no. 5 (2005): 839–52. http://dx.doi.org/10.1139/l05-053.

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It is a known fact that evapotranspiration (ET) varies spatially and temporally and is affected by local and regional factors such as topography, soil properties, and vegetation. As the objective of this study is to model the spatial distribution of actual ET in a boreal ecosystem, a spatially distributed hydrological model employing the Priestley–Taylor approach was used. Spatial and temporal variations of the radiative fluxes at the study site were carefully modelled, as observed fluxes were scarce. Moreover, two modelling scenarios, each based on a different combination of input data source
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