HYPE-Publications

From CSDMS
References HYPE

Publication(s)YearTypeCited
Gelfan, Alexander; Gustafsson, David; Motovilov, Yury; Arheimer, Berit; Kalugin, Andrey; Krylenko, Inna; Lavrenov, Alexander; 2017. Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues. Climatic Change, 141, 499–515. 10.1007/s10584-016-1710-5
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2017Model application 64
Pechlivanidis, I. G.; Arheimer, B.; 2015. Large-scale hydrological modelling by using modified PUB recommendations: the India-HYPE case. Hydrology and Earth System Sciences, 19, 4559–4579. 10.5194/hess-19-4559-2015
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2015

Model application

82
Jomaa, Seifeddine; Jiang, Sanyuan; Thraen, Daniela; Rode, Michael; 2016. Modelling the effect of different agricultural practices on stream nitrogen load in central Germany. Energy, Sustainability and Society, 6, 11. 10.1186/s13705-016-0077-9
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2016Model application 20
Jiang, Sanyuan; Jomaa, Seifeddine; Büttner, Olaf; Meon, Günter; Rode, Michael; 2015. Multi-site identification of a distributed hydrological nitrogen model using Bayesian uncertainty analysis. Journal of Hydrology, 529, 940–950. 10.1016/j.jhydrol.2015.09.009
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2015Model application 24
Berg, Peter; Donnelly, Chantal; Gustafsson, David; 2018. Near-real-time adjusted reanalysis forcing data for hydrology. Hydrology and Earth System Sciences, 22, 989–1000. 10.5194/hess-22-989-2018
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2018Model application 45
Donnelly, Chantal; Yang, Wei; Dahné, Joel; 2014. River discharge to the Baltic Sea in a future climate. Climatic Change, 122, 157–170. 10.1007/s10584-013-0941-y
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2014Model application 38
Jiang, Sanyuan; Jomaa, Seifeddine; Rode, Michael; 2014. Modelling inorganic nitrogen leaching in nested mesoscale catchments in central Germany: MODELLING INORGANIC NITROGEN LEACHING IN CENTRAL GERMANY. Ecohydrology, , n/a–n/a. 10.1002/eco.1462
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2014Model application 36
Andersson, Jafet C.M.; Arheimer, Berit; Traoré, Farid; Gustafsson, David; Ali, Abdou; 2017. Process refinements improve a hydrological model concept applied to the Niger River basin. Hydrological Processes, 31, 4540–4554. 10.1002/hyp.11376
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2017Model application 30
Stadnyk, Tricia A.; MacDonald, Matthew K.; Tefs, Andrew; Déry, Stephen J.; Koenig, Kristina; Gustafsson, David; Isberg, Kristina; Arheimer, Berit; Allison, Steven; Olden, Julian D.; 2020. Hydrological modeling of freshwater discharge into Hudson Bay using HYPE. Elementa: Science of the Anthropocene, 8, 43. 10.1525/elementa.439
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2020Model application 10
Räty, Olle; 2017. Regional climate model and model output statistics method uncertainties and the effect of temperature and precipitation on future river discharges in Scandinavia. Hydrology Research, 48, 1363–1377. 10.2166/nh.2017.127
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2017Model application 3
Li, Jonathan; Yang, Xiaojun; Hu, Maochuan; He, Bin; Luo, Pingping; Takara, Kaoru; Duan, Weili; 2015. Modeling the Effects of Land Use Change and Climate Change on Stream Flow Using GIS and a Hydrological Model. In: (eds.)Monitoring and Modeling of Global Changes: A Geomatics Perspective.. 17–33.
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2015Model application 4
Yin, Yunxing; Jiang, Sanyuan; Pers, Charlotta; Yang, Xiaoying; Liu, Qun; Yuan, Jin; Yao, Mingxing; He, Yi; Luo, Xingzhang; Zheng, Zheng; 2016. Assessment of the Spatial and Temporal Variations of Water Quality for Agricultural Lands with Crop Rotation in China by Using a HYPE Model. International Journal of Environmental Research and Public Health, 13, 336. 10.3390/ijerph13030336
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2016Model application 15
Tefs, A.A.G.; Stadnyk, T.A.; Koenig, K.A.; Déry, S.J.; MacDonald, M.K.; Slota, P.; Crawford, J.; Hamilton, M.; 2021. Simulating river regulation and reservoir performance in a continental-scale hydrologic model. Environmental Modelling & Software, 141, 105025. 10.1016/j.envsoft.2021.105025
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2021Model application 11
Namugize, Jean N.; Jewitt, Graham P. W.; Clark, David; Strömqvist, Johan; 2017. Assessment of the Hype Model for Simulation of Water and Nutrients in the Upper uMngeni River Catchment in South Africa. .
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2017Model application 5
Pers, Charlotta; Temnerud, Johan; Lindström, Göran; 2016. Modelling water, nutrients, and organic carbon in forested catchments: a HYPE application. Hydrological Processes, 30, 3252–3273. 10.1002/hyp.10830
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2016Model application 9
Zhu, Dehua; Echendu, Shirley; Xuan, Yunqing; Webster, Mike; Cluckie, Ian; 2016. Coupled hydro-meteorological modelling on a HPC platform for high-resolution extreme weather impact study. Hydrology and Earth System Sciences, 20, 4707–4715. 10.5194/hess-20-4707-2016
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2016Model application 1
Hankin, Barry; Strömqvist, Johan; Burgess, Chris; Pers, Charlotta; Bielby, Sally; Revilla-Romero, Beatriz; Pope, Linda; 2019. A New National Water Quality Model to Evaluate the Effectiveness of Catchment Management Measures in England. Water, 11, 1612. 10.3390/w11081612
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2019Model application 4
Bajracharya, Ajay; Awoye, Hervé; Stadnyk, Tricia; Asadzadeh, Masoud; 2020. Time Variant Sensitivity Analysis of Hydrological Model Parameters in a Cold Region Using Flow Signatures. Water, 12, 961. 10.3390/w12040961
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2020Model application 6
Ghaffar, Salman; Jomaa, Seifeddine; Meon, Günter; Rode, Michael; 2021. Spatial validation of a semi-distributed hydrological nutrient transport model. Journal of Hydrology, 593, 125818. 10.1016/j.jhydrol.2020.125818
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2021Model application 3
Ogliari, Emanuele; Nespoli, Alfredo; Mussetta, Marco; Pretto, Silvia; Zimbardo, Andrea; Bonfanti, Nicholas; Aufiero, Manuele; 2020. A Hybrid Method for the Run-Of-The-River Hydroelectric Power Plant Energy Forecast: HYPE Hydrological Model and Neural Network. Forecasting, 2, 410–428. 10.3390/forecast2040022
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2020Model application 3
Yıldırım, Ümit; Güler, Cüneyt; Önol, Barış; Rode, Michael; Jomaa, Seifeddine; 2021. Modelling of the Discharge Response to Climate Change under RCP8.5 Scenario in the Alata River Basin (Mersin, SE Turkey). Water, 13, 483. 10.3390/w13040483
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2021Model application 5
Bar-Michalczyk, Dominika; Michalczyk, Tomasz; Witczak, Stanisław; Żurek, Anna J.; 2017. Evaluating the HYPE model for estimating groundwater recharge in a groundwater dominated catchment in Poland. Geology, Geophysics & Environment, 43, 171. 10.7494/geol.2017.43.3.171
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2017Model application 2
Skoulikidis, Nikos; Dimitriou, Elias; Karaouzas, Ioannis; Mentzafou, Angeliki; Papadopoulos, Anastasios; 2015. Long-Term Hydrologic Trends in the Main Greek Rivers: A Statistical Approach. In: (eds.)The Rivers of Greece.. 129–165.
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2015Model application 1
Yang, Xiaoqiang; 2020. Insights derived from fully distributed, process-based modeling and high-frequency monitoring. , , VIII, 146. 10.25932/publishup-47702
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2020Model application 0
Forber, Kirsty Jessica; 2018. The phosphorus transfer continuum under climate change. , , 6296120 B, 227 pages. 10.17635/LANCASTER/THESIS/305
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2018Model application 0
Arciniega-Esparza, Saúl; Birkel, Christian; Chavarría-Palma, Andrés; Arheimer, Berit; Breña-Naranjo, Agustín; 2021. Remote sensing-aided large-scale rainfall-runoff modelling in the humid tropics. .
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2021Model application 1
Singh, Shailesh Kumar; Pahlow, Markus; Goeller, Brandon; Matheson, Fleur; 2021. Data- and model-driven determination of flow pathways in the Piako catchment, New Zealand. Journal of Hydro-environment Research, 37, 82–94. 10.1016/j.jher.2021.06.004
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2021Model application 0
Pechlivanidis, I.G.; Olsson, J.; Sharma, D.; Bosshard, T.; Sharma, K.C.; 2015. Assessment of the climate change impacts on the water resources of the Luni region, India. Global NEST Journal, 17, 29–40. 10.30955/gnj.001370
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2015

Model application

14
Lindström, Göran; Pers, Charlotta; Rosberg, Jörgen; Strömqvist, Johan; Arheimer, Berit; 2010. Development and testing of the HYPE (Hydrological Predictions for the Environment) water quality model for different spatial scales. Hydrology Research, 41, 295–319. 10.2166/nh.2010.007
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2010

Model application

409
Li, Xinyu; Kasargodu Anebgailu, Prajna; Dietrich, Jörg; 2021. Multi-objective parameter optimization of the HYPE model using shuffled frog-leaping algorithm. .
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2021

Model application

0
Ghaffar, Salman; Jomaa, Seifeddine; Rode, Michael; 2020. Spatial capability of the catchment model HYPE to simulate nitrate and phosphorus concentration in the mixed land use Selke catchment, Germany. .
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2020

Model application

0
Lukovich, Jennifer V.; Jafarikhasragh, Shabnam; Myers, Paul G.; Ridenour, Natasha A.; de la Guardia, Laura Castro; Hu, Xianmin; Grivault, Nathan; Marson, Juliana; Pennelly, Clark; Stroeve, Julienne C.; Sydor, Kevin; Wong, Karen; Stadnyk, T. A.; Barber, D. G.; 2021. Simulated impacts of relative climate change and river discharge regulation on sea ice and oceanographic conditions in the Hudson Bay Complex. Elementa: Science of the Anthropocene, 9, 00127. 10.1525/elementa.2020.00127
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2021

Model application

1
Bartosova, Alena; Arheimer, Berit; de Lavenne, Alban; Capell, René; Strömqvist, Johan; 2021. Are large scale models useful? A case of nested model domains for assessing current and future stream runoff and sediments. .
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2021

Model application

0
Brendel, Conrad; Bartosova, Alena; Strömqvist, Johan; Pers, Charlotta; Capell, René; Arheimer, Berit; 2021. Modelling losses of reservoir storage capacity from sedimentation in different landscapes . .
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2021

Model application

0
Hu, Maochuan; Takara, Kaoru; Duan, Weili; Heb, Bin; Luoc, Pingping; 2015. Integrated Assessment of Hydro-Climatology Variability in Kamo River Basin: Confronting Climate and Extremes. International Journal of Sustainable Future for Human Security, 3, 46–55. 10.24910/jsustain/3.1/4655
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2015

Model application

6
Nguyen, Tam; Kumar, Rohini; Lutz, Stefanie R.; Musolff, Andreas; Fleckenstein, Jan H.; 2020. Modeling Nitrate Export at the Catchment Scale using StorAge Selection Functions. .
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2020

Model application

0
Tanouchi, Hiroto; Nakamura, Makoto; Nakamura, Yuki; Egusa, Nobuyuki; 2018. APPLICATION OF THE HYPE MODEL FOR KINOKAWA RIVER BASIN AIMING AT WATER AND NUTRIENT RUNOFF ANALYSIS. Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research), 74, I_223–I_232. 10.2208/jscejer.74.I_223
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2018

Model application

0
Arciniega-Esparza, Saúl; Birkel, Christian; Chavarría-Palma, Andrés; Arheimer, Berit; Breña-Naranjo, José Agustín; 2022. Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica. Hydrology and Earth System Sciences, 26, 975–999. 10.5194/hess-26-975-2022
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2022

Model application

2
Yang, Xiaoqiang; Jomaa, Seifeddine; Zink, Matthias; Fleckenstein, Jan H.; Borchardt, Dietrich; Rode, Michael; 2018. A New Fully Distributed Model of Nitrate Transport and Removal at Catchment Scale. Water Resources Research, 54, 5856–5877. 10.1029/2017WR022380
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2018

Model application

27
Mohtashami, Sima; Thierfelder, Tomas; Eliasson, Lars; Lindström, Göran; Sonesson, Johan; 2022. Use of Hydrological Models to Predict Risk for Rutting in Logging Operations. Forests, 13, 901. 10.3390/f13060901
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2022

Model application

0
Tanouchi, Hiroto; Kawamura, Akira; Amaguchi, Hideo; Olsson, Jonas; 2016. STUDY ON A PRECISION IMPROVEMENT OF RUNOFF PREDICTION BY HYPE MODEL USING POLYGONAL IMPERVIOUS AREA RATIO DATA IN AN URBANIZED AREA. Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), 72, I_427–I_432. 10.2208/jscejhe.72.I_427
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2016

Model application

1
Santos, Léonard; Andersson, Jafet C. M.; Arheimer, Berit; 2022. Evaluation of parameter sensitivity of a rainfall-runoff model over a global catchment set. Hydrological Sciences Journal, 67, 342–357. 10.1080/02626667.2022.2035388
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2022

Model application

1
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Nr. of publications: 42
Total citations: 883
h-index: 12
m-quotient: 0.86

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