Zeitschriftenartikel zum Thema „Hydrologic models“
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Guilpart, Etienne, Vahid Espanmanesh, Amaury Tilmant und François Anctil. „Combining split-sample testing and hidden Markov modelling to assess the robustness of hydrological models“. Hydrology and Earth System Sciences 25, Nr. 8 (30.08.2021): 4611–29. http://dx.doi.org/10.5194/hess-25-4611-2021.
Mendoza, Pablo A., Martyn P. Clark, Naoki Mizukami, Andrew J. Newman, Michael Barlage, Ethan D. Gutmann, Roy M. Rasmussen, Balaji Rajagopalan, Levi D. Brekke und Jeffrey R. Arnold. „Effects of Hydrologic Model Choice and Calibration on the Portrayal of Climate Change Impacts“. Journal of Hydrometeorology 16, Nr. 2 (01.04.2015): 762–80. http://dx.doi.org/10.1175/jhm-d-14-0104.1.
Ganoulis, J. „Modeling Hydrologic Phenomena [Free opinion]“. Revue des sciences de l'eau 9, Nr. 4 (12.04.2005): 421–34. http://dx.doi.org/10.7202/705260ar.
Abbas, Ather, Laurie Boithias, Yakov Pachepsky, Kyunghyun Kim, Jong Ahn Chun und Kyung Hwa Cho. „AI4Water v1.0: an open-source python package for modeling hydrological time series using data-driven methods“. Geoscientific Model Development 15, Nr. 7 (08.04.2022): 3021–39. http://dx.doi.org/10.5194/gmd-15-3021-2022.
Pawitan, Hidayat, und Muh Taufik. „Non-linear Routing Scheme at Grid Cell Level for Large Scale Hydrologic Models: A Review“. Agromet 35, Nr. 2 (12.08.2021): 60–72. http://dx.doi.org/10.29244/j.agromet.35.2.60-72.
Perra, Enrica, Monica Piras, Roberto Deidda, Claudio Paniconi, Giuseppe Mascaro, Enrique R. Vivoni, Pierluigi Cau, Pier Andrea Marras, Ralf Ludwig und Swen Meyer. „Multimodel assessment of climate change-induced hydrologic impacts for a Mediterranean catchment“. Hydrology and Earth System Sciences 22, Nr. 7 (30.07.2018): 4125–43. http://dx.doi.org/10.5194/hess-22-4125-2018.
Dooge, J. C. I. „Hydrologic models and climate change“. Journal of Geophysical Research 97, Nr. D3 (1992): 2677. http://dx.doi.org/10.1029/91jd02156.
Ford, David T., und Darryl W. Davis. „HYDROLOGIC ENGINEERING CENTER PLANNING MODELS“. Journal of the American Water Resources Association 21, Nr. 1 (Februar 1985): 135–44. http://dx.doi.org/10.1111/j.1752-1688.1985.tb05359.x.
Vepraskas, M. J., R. L. Huffman und G. S. Kreiser. „Hydrologic models for altered landscapes“. Geoderma 131, Nr. 3-4 (April 2006): 287–98. http://dx.doi.org/10.1016/j.geoderma.2005.03.010.
Carleton, Tyler J., und Steven R. Fassnacht. „Linking Hydrologic and Hydraulic Data with Models to Assess Flow and Channel Alteration at Hog Park, Wyoming USA“. Hydrology 7, Nr. 2 (23.05.2020): 29. http://dx.doi.org/10.3390/hydrology7020029.
Wang, Jie, Guoqing Wang, Amgad Elmahdi, Zhenxin Bao, Qinli Yang, Zhangkang Shu und Mingming Song. „Comparison of hydrological model ensemble forecasting based on multiple members and ensemble methods“. Open Geosciences 13, Nr. 1 (01.01.2021): 401–15. http://dx.doi.org/10.1515/geo-2020-0239.
Valdés-Pineda, Rodrigo, Juan B. Valdés, Sungwook Wi, Aleix Serrat-Capdevila und Tirthankar Roy. „Improving Operational Short- to Medium-Range (SR2MR) Streamflow Forecasts in the Upper Zambezi Basin and Its Sub-Basins Using Variational Ensemble Forecasting“. Hydrology 8, Nr. 4 (20.12.2021): 188. http://dx.doi.org/10.3390/hydrology8040188.
Pietroniro, A., V. Fortin, N. Kouwen, C. Neal, R. Turcotte, B. Davison, D. Verseghy et al. „Using the MESH modelling system for hydrological ensemble forecasting of the Laurentian Great Lakes at the regional scale“. Hydrology and Earth System Sciences Discussions 3, Nr. 4 (29.08.2006): 2473–521. http://dx.doi.org/10.5194/hessd-3-2473-2006.
Pietroniro, A., V. Fortin, N. Kouwen, C. Neal, R. Turcotte, B. Davison, D. Verseghy et al. „Development of the MESH modelling system for hydrological ensemble forecasting of the Laurentian Great Lakes at the regional scale“. Hydrology and Earth System Sciences 11, Nr. 4 (03.05.2007): 1279–94. http://dx.doi.org/10.5194/hess-11-1279-2007.
Singh, Kuldeep. „Stream Order Delineation using SRTM 30 meter Resolution Digital Elevation Model (DEM) and Hydrology Tools in ArcGIS 10.3 and QGIS: Mapping of Drainage Pattern of Mandi District, Himachal Pradesh, India“. Asian Review of Civil Engineering 10, Nr. 2 (05.11.2021): 9–17. http://dx.doi.org/10.51983/tarce-2021.10.2.3118.
Harpold, Adrian A., Michael L. Kaplan, P. Zion Klos, Timothy Link, James P. McNamara, Seshadri Rajagopal, Rina Schumer und Caitriana M. Steele. „Rain or snow: hydrologic processes, observations, prediction, and research needs“. Hydrology and Earth System Sciences 21, Nr. 1 (02.01.2017): 1–22. http://dx.doi.org/10.5194/hess-21-1-2017.
Shen, Chaopeng, Eric Laloy, Amin Elshorbagy, Adrian Albert, Jerad Bales, Fi-John Chang, Sangram Ganguly et al. „HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community“. Hydrology and Earth System Sciences 22, Nr. 11 (01.11.2018): 5639–56. http://dx.doi.org/10.5194/hess-22-5639-2018.
Gunathilake, Miyuru B., Chamaka Karunanayake, Anura S. Gunathilake, Niranga Marasingha, Jayanga T. Samarasinghe, Isuru M. Bandara und Upaka Rathnayake. „Hydrological Models and Artificial Neural Networks (ANNs) to Simulate Streamflow in a Tropical Catchment of Sri Lanka“. Applied Computational Intelligence and Soft Computing 2021 (27.05.2021): 1–9. http://dx.doi.org/10.1155/2021/6683389.
Höge, Marvin, Andreas Scheidegger, Marco Baity-Jesi, Carlo Albert und Fabrizio Fenicia. „Improving hydrologic models for predictions and process understanding using neural ODEs“. Hydrology and Earth System Sciences 26, Nr. 19 (11.10.2022): 5085–102. http://dx.doi.org/10.5194/hess-26-5085-2022.
Pande, Saket, Luis A. Bastidas, Sandjai Bhulai und Mac McKee. „Parameter-dependent convergence bounds and complexity measure for a class of conceptual hydrological models“. Journal of Hydroinformatics 14, Nr. 2 (18.10.2011): 443–63. http://dx.doi.org/10.2166/hydro.2011.005.
Sivapalan, Murugesu. „From engineering hydrology to Earth system science: milestones in the transformation of hydrologic science“. Hydrology and Earth System Sciences 22, Nr. 3 (07.03.2018): 1665–93. http://dx.doi.org/10.5194/hess-22-1665-2018.
Rajaram, Harihar, und Konstantine P. Georgakakos. „Recursive parameter estimation of hydrologic models“. Water Resources Research 25, Nr. 2 (Februar 1989): 281–94. http://dx.doi.org/10.1029/wr025i002p00281.
K. W. Migliaccio und P. Srivastava. „Hydrologic Components of Watershed-Scale Models“. Transactions of the ASABE 50, Nr. 5 (2007): 1695–703. http://dx.doi.org/10.13031/2013.23955.
Bouraoui, Faycal, und Mary Leigh Wolfe. „Application of hydrologic models to rangelands“. Journal of Hydrology 121, Nr. 1-4 (Dezember 1990): 173–91. http://dx.doi.org/10.1016/0022-1694(90)90231-l.
Thompson, S. E., M. Sivapalan, C. J. Harman, V. Srinivasan, M. R. Hipsey, P. Reed, A. Montanari und G. Blöschl. „Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene“. Hydrology and Earth System Sciences Discussions 10, Nr. 6 (20.06.2013): 7897–961. http://dx.doi.org/10.5194/hessd-10-7897-2013.
Johnson, K. A., und N. Sitar. „Hydrologic conditions leading to debris-flow initiation“. Canadian Geotechnical Journal 27, Nr. 6 (01.12.1990): 789–801. http://dx.doi.org/10.1139/t90-092.
Xu, Xiaoyong, Jonathan Li und Bryan A. Tolson. „Progress in integrating remote sensing data and hydrologic modeling“. Progress in Physical Geography: Earth and Environment 38, Nr. 4 (05.06.2014): 464–98. http://dx.doi.org/10.1177/0309133314536583.
Subramani, T., und K. A.Niasi. „Study of Hydrological Parameter with Respect to DEM Using GIS & RS in Nelliampathy Hill, Kerala“. International Journal of Engineering & Technology 7, Nr. 3.10 (15.07.2018): 125. http://dx.doi.org/10.14419/ijet.v7i3.10.15643.
Hollaus, M., W. Wagner und K. Kraus. „Airborne laser scanning and usefulness for hydrological models“. Advances in Geosciences 5 (16.12.2005): 57–63. http://dx.doi.org/10.5194/adgeo-5-57-2005.
Caja, CC, NL Ibunes, JA Paril, AR Reyes, JP Nazareno, CE Monjardin und FA Uy. „Effects of Land Cover Changes to the Quantity of Water Supply and Hydrologic Cycle using Water Balance Models“. MATEC Web of Conferences 150 (2018): 06004. http://dx.doi.org/10.1051/matecconf/201815006004.
Thompson, S. E., M. Sivapalan, C. J. Harman, V. Srinivasan, M. R. Hipsey, P. Reed, A. Montanari und G. Blöschl. „Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene“. Hydrology and Earth System Sciences 17, Nr. 12 (12.12.2013): 5013–39. http://dx.doi.org/10.5194/hess-17-5013-2013.
Maneta, M. P., und N. L. Silverman. „A Spatially Distributed Model to Simulate Water, Energy, and Vegetation Dynamics Using Information from Regional Climate Models“. Earth Interactions 17, Nr. 11 (01.08.2013): 1–44. http://dx.doi.org/10.1175/2012ei000472.1.
Sehgal, Vinit, Venkataramana Sridhar, Luke Juran und Jactone Arogo Ogejo. „Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern U.S.“ Sustainability 10, Nr. 9 (29.08.2018): 3079. http://dx.doi.org/10.3390/su10093079.
Herman, J. D., J. B. Kollat, P. M. Reed und T. Wagener. „Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models“. Hydrology and Earth System Sciences 17, Nr. 7 (24.07.2013): 2893–903. http://dx.doi.org/10.5194/hess-17-2893-2013.
Herman, J. D., J. B. Kollat, P. M. Reed und T. Wagener. „Technical note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models“. Hydrology and Earth System Sciences Discussions 10, Nr. 4 (05.04.2013): 4275–99. http://dx.doi.org/10.5194/hessd-10-4275-2013.
P. C. Beeson, P. C. Doraiswamy, A. M. Sadeghi, M. Di Luzio, M. D. Tomer, J. G. Arnold und C. S. T. Daughtry. „Treatments of Precipitation Inputs to Hydrologic Models“. Transactions of the ASABE 54, Nr. 6 (2011): 2011–20. http://dx.doi.org/10.13031/2013.40652.
Thiemann, M., M. Trosset, H. Gupta und S. Sorooshian. „Bayesian recursive parameter estimation for hydrologic models“. Water Resources Research 37, Nr. 10 (Oktober 2001): 2521–35. http://dx.doi.org/10.1029/2000wr900405.
Yapo, Patrice Ogou, Hoshin Vijai Gupta und Soroosh Sorooshian. „Multi-objective global optimization for hydrologic models“. Journal of Hydrology 204, Nr. 1-4 (Januar 1998): 83–97. http://dx.doi.org/10.1016/s0022-1694(97)00107-8.
Vogel, Richard M. „Stochastic watershed models for hydrologic risk management“. Water Security 1 (Juli 2017): 28–35. http://dx.doi.org/10.1016/j.wasec.2017.06.001.
Sharma, T. C. „Stochastic models applied to evaluating hydrologic changes“. Journal of Hydrology 78, Nr. 1-2 (Mai 1985): 61–81. http://dx.doi.org/10.1016/0022-1694(85)90154-4.
Eimers, Jo Leslie. „“Parameter Sensitivity Analysis for Hydrologic Simulation Models”“. Water International 13, Nr. 4 (Januar 1988): 235. http://dx.doi.org/10.1080/02508068808687097.
Tahal, E. Simon. „“Parameter Sensitivity Analysis for Hydrologic Simulation Models”“. Water International 13, Nr. 4 (Januar 1988): 235–36. http://dx.doi.org/10.1080/02508068808687098.
Simon, E. „Parameter Sensitivity Analysis For Hydrologic Simulation Models“. Water International 13, Nr. 1 (Januar 1988): 46–56. http://dx.doi.org/10.1080/02508068808691989.
Smith, Tyler, Lucy Marshall und Brian McGlynn. „Calibrating hydrologic models in flow-corrected time“. Water Resources Research 50, Nr. 1 (Januar 2014): 748–53. http://dx.doi.org/10.1002/2013wr014635.
Astuti, Anik Juli Dwi, Sofie Annys, Mekete Dessie, Jan Nyssen und Stefaan Dondeyne. „To What Extent Is Hydrologic Connectivity Taken into Account in Catchment Studies in the Lake Tana Basin, Ethiopia? A Review“. Land 11, Nr. 12 (30.11.2022): 2165. http://dx.doi.org/10.3390/land11122165.
Wu, Rui, Lei Yang, Chao Chen, Sajjad Ahmad, Sergiu M. Dascalu und Frederick C. Harris Jr. „MELPF version 1: Modeling Error Learning based Post-Processor Framework for Hydrologic Models Accuracy Improvement“. Geoscientific Model Development 12, Nr. 9 (23.09.2019): 4115–31. http://dx.doi.org/10.5194/gmd-12-4115-2019.
Parajka, J., V. Naeimi, G. Blöschl, W. Wagner, R. Merz und K. Scipal. „Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale“. Hydrology and Earth System Sciences Discussions 2, Nr. 6 (22.12.2005): 2739–86. http://dx.doi.org/10.5194/hessd-2-2739-2005.
Parajka, J., V. Naeimi, G. Blöschl, W. Wagner, R. Merz und K. Scipal. „Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale“. Hydrology and Earth System Sciences 10, Nr. 3 (17.05.2006): 353–68. http://dx.doi.org/10.5194/hess-10-353-2006.
Javadinejad, Safieh, Rebwar Dara und Neda Dolatabadi. „Runoff coefficient estimation for various catchment surfaces“. Resources Environment and Information Engineering 3, Nr. 1 (2022): 145–55. http://dx.doi.org/10.25082/reie.2021.01.005.
Fenicia, F., D. P. Solomatine, H. H. G. Savenije und P. Matgen. „Soft combination of local models in a multi-objective framework“. Hydrology and Earth System Sciences Discussions 4, Nr. 1 (19.01.2007): 91–123. http://dx.doi.org/10.5194/hessd-4-91-2007.