1. bookVolume 66 (2018): Edition 3 (September 2018)
Détails du magazine
License
Format
Magazine
eISSN
1338-4333
Première parution
28 Mar 2009
Périodicité
4 fois par an
Langues
Anglais
Accès libre

Conceptual model building inspired by field-mapped runoff generation mechanisms

Publié en ligne: 14 Aug 2018
Volume & Edition: Volume 66 (2018) - Edition 3 (September 2018)
Pages: 303 - 315
Reçu: 07 Aug 2017
Accepté: 10 Jan 2018
Détails du magazine
License
Format
Magazine
eISSN
1338-4333
Première parution
28 Mar 2009
Périodicité
4 fois par an
Langues
Anglais

Abbott, M., Bathurst, J., Cunge, J., O’Connell, P., Rasmussen, J., 1986. An introduction to the European Hydrological System - Systeme Hydrologique Europeen, “SHE”, 1: History and philosophy of a physically-based, distributed modelling system. Journal of Hydrology, 87, 45-59.10.1016/0022-1694(86)90114-9Search in Google Scholar

Bai, Y., Wagener, T., Reed, P.M., 2009. A top-down framework for watershed model evaluation and selection under uncertainty. Environemental Modelling and Software, 24, 901-916.10.1016/j.envsoft.2008.12.012Search in Google Scholar

Beven, K.J., 2001. How far can we go in distributed hydrological modelling? Hydrology and Earth System Sciences, 5, 1-12.10.5194/hess-5-1-2001Ouvrir le DOISearch in Google Scholar

Beven, K.J., 2006. A manifesto for the equifinality thesis. Journal of Hydrology, 320, 1-2, 18-36. DOI: 10.1016/j.jhydrol.2005.07.007.10.1016/j.jhydrol.2005.07.007Ouvrir le DOISearch in Google Scholar

Blöschl, G., 2005. Rainfall-runoff modeling of ungauged catchments. In: Anderson, M.G. (Ed.): Encyclopedia of Hydrological Sciences. John Wiley & Sons, Chichester, pp. 2061-2080.10.1002/0470848944.hsa140Search in Google Scholar

Blöschl, G., 2006. Hydrologic synthesis: Across processes, places, and scales. Water Resources Research, 42, 3, W03S02. DOI: 10.1029/2005WR004319. Blöschl, G., Sivapalan, M., Wagener, T., Viglione, A., Savenije, H.H., 2013. Runoff Prediction in Ungauged Basins - Synthesis across Processes, Places and Scales. Cambridge University Press, Cambridge, 484 p.10.1029/2005WR004319Search in Google Scholar

Caylor, K.K., D’Odorico, P., Rodriguez-Iturbe, I., 2006. On the ecohydrology of structurally heterogeneous semiarid landscapes. Water Resources Research, 42, 7. DOI: 10.1029/2005WR004683.10.1029/2005WR004683Ouvrir le DOISearch in Google Scholar

Ehret, U., Gupta, H.V., Sivapalan, M., Weijs, S.V., Schymanski, S.J., Blöschl, G., Gelfan, A.N., Harman, C., Kleidon, A., Bogaard, T.A., Wang, D., Wagener, T., Scherer, U., Zehe, E., Bierkens, M.F.P., Di Baldassarre, G., Parajka, J., van Beek, L.P.H., van Griensven, A., Westhoff, M.C., WinsemiSearch in Google Scholar

us, H.C., 2014. Advancing catchment hydrology to deal with predictions under change. Hydrology and Earth System Sciences, 18, 649-671. DOI: 10.5194/hess-18-649-2014.10.5194/hess-18-649-2014Ouvrir le DOISearch in Google Scholar

Falkenmark, M., Chapman, T., 1989. Comparative Hydrology: An Ecological Approach to Land and Water Resources. The Unesco Press, Paris, 479 p.Search in Google Scholar

Fenicia, F., Kavetski, D., Savenije, H.H., 2011. Elements of a flexible approach for conceptual hydrological modeling: 1. Motivation and theoretical development. Water Resources Research, 47, 13. DOI:10.1029/2010WR010174.10.1029/2010WR010174Ouvrir le DOISearch in Google Scholar

Gaál, L., Szolgay, J., Kohnová, S., Parajka, J., Merz, R., Viglione, A., Blöschl, G., 2012. Flood timescales: Understanding the interplay of climate and catchment processes through comparative hydrology. Water Resources Research, 48, W04511. DOI: 10.1029/2011WR011509.10.1029/2011WR011509Ouvrir le DOISearch in Google Scholar

Grayson, R.B., Blöschl, G. (Eds.) 2000. Spatial Patterns in Catchment Hydrology: Observation and Modelling, Cambridge University Press, Cambridge, 404 p.Search in Google Scholar

Gutknecht, D., Jolánkai, G., Skinner, K., 2008. Patterns and processes in the catchment. CAB International, Chapter 2, pp. 18-29.10.1079/9781845930028.0018Search in Google Scholar

He, X., Højberg, A.L., Jørgensen, F., Refsgaard, J.C., 2015. Assessing hydrological model predictive uncertainty using stochastically generated geological models. Hydrological Processes, 29, 19, 4293-4311. DOI: 10.1002/hyp.10488.10.1002/hyp.10488Ouvrir le DOISearch in Google Scholar

Hellebrand, H., Müller, C., Matgen, P., Fenicia, F., Savenije, H., 2011. A process proof test for model concepts: Modelling the meso-scale. Physics and Chemistry of the Earth, 36, 42-53.10.1016/j.pce.2010.07.019Search in Google Scholar

Hogue, T.S., Bastidas, L.A., Gupta, H.V., Sorooshian, S., 2006. Evaluating model performance and parameter behavior for varying levels of land surface model complexity. Water Resources Research, 42, 8. DOI: 10.1029/2005WR004440.10.1029/2005WR004440Search in Google Scholar

Holländer, H.M., Blume, T., Bormann, H., Buytaert, W., Chirico, G.B., Exbrayat, J.-F., Gustafsson, D., Hölzel, H., Kraft, P., Stamm, C., Stoll, S., Blöschl, G., Flühler, H., 2009. Comparative predictions of discharge from an artificial catchment (Chicken Creek) using sparse data. Hydrology and Earth System Sciences, 13, 2069-2094. DOI: 10.5194/hess-13- 2069-2009.10.5194/hess-13-2069-2009Ouvrir le DOISearch in Google Scholar

Hrachowitz, M., Fovet, O., Ruiz, L., Euser, T., Gharari, S., Nijzink, R., Freer, J.E., Savenije, H.H.G., Gascuel-Odoux, C., 2014. Process consistency in models: The importance of system signatures, expert knowledge, and process complexity. Water Resources Research, 50, 9, 7445-7469. DOI: 10.1002/2014WR015484.10.1002/2014WR015484Ouvrir le DOISearch in Google Scholar

Kavetski, D., Kuczera, G., Franks, S.W., 2006a. Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory. Water Resources Research, 42, 3, W03407. DOI: 10.1029/2005WR004368.10.1029/2005WR004368Ouvrir le DOISearch in Google Scholar

Kavetski, D., Kuczera, G., Franks, S.W., 2006b. Bayesian analysis of input uncertainty in hydrological modeling: 2. Application. Water Resources Research, 42, 3, W03408. DOI: 10.1029/2005WR004376.10.1029/2005WR004376Ouvrir le DOISearch in Google Scholar

Klemes, V., 1986. Operational testing of hydrological simulation models. Hydrological Sciences Journal - des Sciences Hydrologiques, 31, 1, 13-24. DOI: 10.1080/02626668609491024.10.1080/02626668609491024Ouvrir le DOISearch in Google Scholar

Merz, R., Blöschl, G., 2009. A regional analysis of event runoff coefficients with respect to climate and catchment characteristics in Austria, Water Resources Research, 45, W01405. DOI: 10.1029/2008WR007163.10.1029/2008WR007163Ouvrir le DOISearch in Google Scholar

Merz, R., Blöschl, G., Parajka, J., 2006. Spatio-temporal variability of event runoff coefficients. Journal of Hydrology, 331, 3-4, 591-604. DOI: 10.1016/j.jhydrol.2006.06.008.10.1016/j.jhydrol.2006.06.008Ouvrir le DOISearch in Google Scholar

Milly, P.C.D., Dunne, K.A., 2002. Macroscale water fluxes 2. Water and energy supply control of their interannual variability. Water Resources Research, 38 10, 24-1-24-9. DOI: 10.1029/2001WR000760.10.1029/2001WR000760Ouvrir le DOISearch in Google Scholar

Mullen, K., Ardia, D., Gil, D., Windover, D., Cline, J., 2011. DEoptim: an R package for global optimization by differential evolution. Journal of Statistical Software, 40, 6, 1-26.10.18637/jss.v040.i06Ouvrir le DOISearch in Google Scholar

Müller, C., Hellebrand, H., Seeger, M., Schobel, S., 2009. Identification and regionalization of dominant runoff processes - a GIS-based and a statistical approach. Hydrology and Earth System Sciences, 13, 779-792.10.5194/hess-13-779-2009Search in Google Scholar

Nester, T., Kirnbauer, R., Parajka, J., Blöschl, G., 2012. Evaluating the snow component of a flood forecasting model. Hydrology Research, 43, 6, 762-779. DOI: 10.2166/nh.2012.041.10.2166/nh.2012.041Ouvrir le DOISearch in Google Scholar

Nijzink, R.C., Samaniego, L., Mai, J., Kumar, R., Thober, S., Zink, M., Schäfer, D., Savenije, H.H.G, Hrachowitz, M., 2016. The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models. Hydrology and Earth System Sciences, 20, 1151-1176. DOI: 10.5194/hess-20- 1151-2016.10.5194/hess-20-1151-2016Ouvrir le DOISearch in Google Scholar

Parajka, J., Merz, R., Blöschl, G., 2003. Estimation of daily potential evapotranspiration for regional water balance modeling in Austria. In: 11th. International Poster Day Transport of Water, Chemicals and Energy in the Soil - Crop Canopy - Atmosphere System. Slovak Academy of Sciences, Bratislava, pp. 299-306.Search in Google Scholar

Pirkl, H., 2009. Hydrogeologische und geohydrologische Grundlagen für die ausgewählten Leiteinzugsgebiete - Unveröffentl. Bericht im Rahmen Projekt Hochwasser Tirol (HOWATI). Technical Report, Vienna.Search in Google Scholar

Pirkl, H., 2012. Untergrundabhängige Abflussprozesse. Kartierung und Quantifizierung für das Bundesland Tirol. Flächendeckende Aufnahme Osttirols. Endbericht. Unveröffentl. Bericht, Technical Report, Vienna.Search in Google Scholar

Rogger, M., Kohl, B., Pirkl, H., Viglione, A., Komma, J., Kirnbauer, R., Merz, R., Blöschl, G., 2012a. Runoff models and flood frequency statistics for design flood estimation in Austria - Do they tell a consistent story? Journal of Hydrology, 456-457, 30-43. DOI: 10.1016/j.jhydrol.2012.05.068.10.1016/j.jhydrol.2012.05.068Ouvrir le DOISearch in Google Scholar

Rogger, M., Pirkl, H., Viglione, A., Komma, J., Kohl, B., Kirnbauer, R., Merz, R., Blöschl, G., 2012b. Step changes in the flood frequency curve: Process controls. Water Resources Research, 48, W05544. DOI: 10.1029/2011WR011187.10.1029/2011WR011187Ouvrir le DOISearch in Google Scholar

Rosero, E., Yang, Z.-L., Wagener, T., Gulden, L.E., Yatheendradas, S., Niu, G.-Y., 2010. Quantifying parameter sensitivity, interaction, and transferability in hydrologically enhanced versions of the Noah land surface model over transition zones during the warm season. Journal of Geophysical Research- Atmospheres, 115, D3. DOI: 10.1029/2009JD012035.10.1029/2009JD012035Ouvrir le DOISearch in Google Scholar

Salinas, J.L., Kiss, A., Viglione, A., Viertl, R., Blöschl, G., 2016. A fuzzy Bayesian approach to flood frequency estimation with imprecise historical information. Water Resources Research, 52, 9, 6730-6750. DOI: 10.1002/2016WR019177.10.1002/2016WR019177509163627840456Ouvrir le DOISearch in Google Scholar

Samuel, J.M., Sivapalan, M., Struthers, I., 2008. Diagnostic analysis of water balance variability: A comparative modeling study of catchments in Perth, Newcastle, and Darwin, Australia. Water Resources Research, 44, 6. DOI: 10.1029/2007WR006694.10.1029/2007WR006694Ouvrir le DOISearch in Google Scholar

Savenije, H.H.G., 2009. The art of hydrology. Hydrology and Earth System Sciences, 13, 157-161.10.5194/hess-13-157-2009Search in Google Scholar

Savenije, H., 2010. Topography driven conceptual modelling (FLEX-Topo), Hydrology and Earth System Sciences, 14, 12, 2681-2692. DOI: 10.5194/hess-14-2681-2010, HESS Opinions.10.5194/hess-14-2681-2010Ouvrir le DOISearch in Google Scholar

Van den Bos, R., Hoffmann, L., Juilleret, J., Matgen, P., Pfister, L., 2006. Regional runoff prediction through aggregation of first-order hydrological process knowledge a case study, Hydrological Sciences - Journal - des Sciences Hydrologiques, 51, 1021-1038. van Werkhoven, K., Wagener, T., Reed, P., Tang, Y., 2008. Characterization of watershed model behavior across a hydroclimatic gradient. Water Resources Research, 44, W01429. DOI: 10.1029/2007WR006271.10.1029/2007WR006271Ouvrir le DOISearch in Google Scholar

van Werkhoven, K., Wagener, T., Reed, P., Tang, Y., 2009. Sensitivity- guided reduction of parametric dimensionality for multi- objective calibration of watershed models. Advances in Water Resources, 32, 8, 1154-1169. DOI: 10.1016/j.advwatres.2009.03.002.10.1016/j.advwatres.2009.03.002Search in Google Scholar

Wagener, T., Sivapalan, M., Troch, P., Woods, R., 2007. Catchment Classification and Hydrologic Similarity, Geography Compass, 1, 4, 901-931. DOI: 10.1111/j.1749-8198.2007.00039.x.10.1111/j.1749-8198.2007.00039.xOuvrir le DOISearch in Google Scholar

Winter, T.C., 2001. The concept of hydrologic landscapes. Journal of the American Water Resources Association, 37, 2, 335-349. DOI: 10.1111/j.1752-1688.2001.tb00973.x.10.1111/j.1752-1688.2001.tb00973.xOuvrir le DOISearch in Google Scholar

Wolock, D.M., Winter, T.C., McMahon, G., 2004. Delineation and evaluation of hydrologic-landscape regions in the United States using geographic information system tools and multivariate statistical analyses. Environmental Management, 34, 1, S71-S88. DOI: 10.1007/s00267-003-5077-9.10.1007/s00267-003-5077-916044554Ouvrir le DOISearch in Google Scholar

Articles recommandés par Trend MD