Uneingeschränkter Zugang

Multi-criteria evaluation for parameter uncertainty assessment and ensemble runoff forecasting in a snow-dominated basin


Zitieren

Adeyeri, O.E., Laux, P., Arnault, J., Lawin, A.E., Kunstmann, H., 2020. Conceptual hydrological model calibration using multi-objective optimization techniques over the transboundary Komadugu-Yobe basin, Lake Chad Area, West Africa. Journal of Hydrology: Regional Studies, 27, 100655. Search in Google Scholar

Anghileri, D., Voisin, N., Castelletti, A., Pianosi, F., Nijssen, B., Lettenmaier, D.P., 2016. Value of long‐term streamflow forecasts to reservoir operations for water supply in snow‐dominated river catchments. Water Resources Research, 52, 6, 4209–4225. Search in Google Scholar

Barnes, W.L., Pagano, T.S., Salomonson. V.V., 1998. Prelaunch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1. IEEE Transactions on Geoscience and Remote Sensing, 36, 1088–1100. Search in Google Scholar

Beldring, S., 2002. Multi-criteria validation of a precipitation-runoff model. J. Hydrol., 257, 1–4, 189–211. Search in Google Scholar

Bergström, S., 1976. Development and application of a conceptual runoff model for Scandinavian catchments. SMHI Reports RHO, no. 7, Norrköping. Search in Google Scholar

Beven, K., 2006. A manifesto for the equifinality thesis. Journal of Hydrology, 320, 1–2, 18–36. Search in Google Scholar

Blasone, R.S., Madsen, H., Rosbjerg, D., 2007. Parameter estimation in distributed hydrological modelling: comparison of global and local optimisation techniques. Hydrology Research, 38, 4–5, 451–476. Search in Google Scholar

Boyle, D.P., Gupta, H.V., Sorooshian, S., 2000. Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods. Water Resources Research, 36, 12, 3663–3674. Search in Google Scholar

Budhathoki, S., Rokaya, P., Lindenschmidt, K.E., Davison, B., 2020. A multi-objective calibration approach using in-situ soil moisture data for improved hydrological simulation of the Prairies. Hydrological Sciences Journal, 65, 4, 638–649. Search in Google Scholar

Demirel, M.C., Özen, A., Orta, S., Toker, E., Demir, H.K., Ekmekcioğlu, Ö. et al., 2019. Additional value of using satellite-based soil moisture and two sources of groundwater data for hydrological model calibration. Water, 11, 10, 2083. Search in Google Scholar

Di Marco, N., Avesani, D., Righetti, M., Zaramella, M., Majone, B., Borga, M., 2021. Reducing hydrological modelling uncertainty by using MODIS snow cover data and a topography-based distribution function snowmelt model. Journal of Hydrology, 599, 126020. Search in Google Scholar

Dong, C., 2018. Remote sensing, hydrological modeling and in situ observations in snow cover research: A review. Journal of Hydrology, 561, 573–583. Search in Google Scholar

Duan, Q., Schaake, J., Andréassian, V., Franks, S., Goteti, G., Gupta, H.V. et al., 2006. Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops. Journal of Hydrology, 320, 1–2, 3–17. Search in Google Scholar

Duethmann, D., Peters, J., Blume, T., Vorogushyn, S., Güntner, A., 2014. The value of satellite derived snow cover images for calibrating a hydrological model in snow dominated catchments in Central Asia. Water Resour. Res., 50, 3, 2002–2021. Search in Google Scholar

Efstratiadis, A., Koutsoyiannis, D., 2010. One decade of multi-objective calibration approaches in hydrological modelling: a review. Hydrological Sciences Journal–Journal Des Sciences Hydrologiques, 55, 1, 58–78. Search in Google Scholar

Etter, S., Addor, N., Huss, M., Finger, D., 2017. Climate change impacts on future snow, ice and rain runoff in a Swiss mountain catchment using multi-dataset calibration. Journal of Hydrology: Regional Studies, 13, 222–239. Search in Google Scholar

Finger, D., Pellicciotti, F., Konz, M., Rimkus, S., Burlando, P., 2011. The value of glacier mass balance, satellite snow cover images, and hourly discharge for improving the performance of a physically based distributed hydrological model. Water Resour. Res., 47, 7, W07519. Search in Google Scholar

Finger, D., Vis, M., Huss, M., Seibert, J., 2015. The value of multiple data set calibration versus model complexity for improving the performance of hydrological models in mountain catchments. Water Resour. Res., 51, 4, 1939–1958. Search in Google Scholar

Foulon, É., Rousseau, A.N., 2018. Equifinality and automatic calibration: What is the impact of hypothesizing an optimal parameter set on modelled hydrological processes? Canadian Water Resources Journal/Revue canadienne des ressources hydriques, 43, 1, 47–67. Search in Google Scholar

Gafurov, A., Bárdossy, A., 2009. Cloud removal methodology from MODIS snow cover product. Hydrology and Earth System Sciences, 13, 1361–73. Search in Google Scholar

Hall, D.K., Riggs, G.A., Salomonson, V.V., DiGirolamo, N.E., Bayr, K.J., 2002. MODIS snow cover products. Remote Sens. Environ., 83, 1, 181–194. Search in Google Scholar

Hall, D.K., Riggs, G.A., Salomonson, V.V., 1995. Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data. Remote Sensing of Environment, 54, 127–40. Search in Google Scholar

Han, P., Long, D., Han, Z., Du, M., Dai, L., Hao, X., 2019. Improved understanding of snowmelt runoff from the headwaters of China’s Yangtze River using remotely sensed snow products and hydrological modeling. Remote Sens. Environ., 224, 44–59. Search in Google Scholar

Her, Y., Seong, C., 2018. Responses of hydrological model equifinality, uncertainty, and performance to multi-objective parameter calibration. Journal of Hydroinformatics, 20, 4, 864–885. Search in Google Scholar

Häggström, M., Lindström, G., Sandoval, L.A., Vega, M.E., 1988. Application of the HBV model to the upper Río Cauca basin. Search in Google Scholar

Huo, J., Liu, L., 2020. Evaluation method of multiobjective functions’ combination and its application in hydrological model evaluation. Computational Intelligence and Neuroscience, 2020, Article ID: 8594727. Search in Google Scholar

Ji, H., Fang, G., Yang, J., Chen, Y., 2019. Multi-objective calibration of a distributed hydrological model in a highly glacierized watershed in Central Asia. Water, 11, 3, 554. Search in Google Scholar

Krajčí, P., Holko, L., Perdigao, R.A.P., Parajka, J., 2014. Estimation of regional snowline elevation (RSLE) from MODIS images for seasonally snow covered mountain basins. Journal of Hydrology, 519, 1769–1778. Search in Google Scholar

Kuban, M., Parajka, J., Tong, R., Greimeister-Pfeil, I., Vreugdenhil, M., Szolgay, J., Kohnova, S., Hlavcova, K., Sleziak, P., Brziak, A. 2022. The effects of satellite soil moisture data on the parametrization of topsoil and root zone soil moisture in a conceptual hydrological model. Journal of Hydrology and Hydromechanics, 70, 3, 295–307. Search in Google Scholar

Kundu, D., Vervoort, R.W., van Ogtrop, F.F., 2017. The value of remotely sensed surface soil moisture for model calibration using SWAT. Hydrol. Process., 31, 2764–2780. Search in Google Scholar

Li, Y., Grimaldi, S., Pauwels, V.R., Walker, J.P., 2018. Hydrologic model calibration using remotely sensed soil moisture and discharge measurements: The impact on predictions at gauged and ungauged locations. J. Hydrol., 557, 897–909. Search in Google Scholar

Lopez, M.G., Vis, M.J., Jenicek, M., Griessinger, N., Seibert, J., 2020. Complexity and performance of temperature-based snow routines for runoff modelling in mountainous areas in Central Europe. Hydrol. Earth Syst. Sci. Discussions (13 February 2020), 1–31. Search in Google Scholar

Madsen, H., 2003. Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives. Advances in Water Resources., 26, 2, 205–216. Search in Google Scholar

Magnusson, J., Winstral, A., Stordal, A.S., Essery, R., Jonas, T., 2017. Improving physically based snow simulations by assimilating snow depths using the particle filter. Water Resources Research, 53, 2, 1125–1143. Search in Google Scholar

Mazzoleni, M., Noh, S.J., Lee, H., Liu, Y., Seo, D.J., Amaranto, A. et al., 2018. Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods. Hydrological Sciences Journal, 63, 3, 386–407. Search in Google Scholar

Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D., Veith, T.L., 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE., 50, 3, 885–900. Search in Google Scholar

Nash, J.E., Sutcliffe, J.V., 1970. River flow forecasting through conceptual models: A discussion of principles. J. Hydrol., 10, 3, 282–290. Search in Google Scholar

Nemri, S., Kinnard, C., 2020. Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability. Journal of Hydrology, 582, 124474. Search in Google Scholar

Nijzink, R.C., Almeida, S., Pechlivanidis, I.G., Capell, R., Gustafssons, D., Arheimer, B. et al., 2018. Constraining conceptual hydrological models with multiple information sources. Water Resources Research, 54, 10, 8332–8362. Search in Google Scholar

Pan, S., Liu, L., Bai, Z., Xu, Y.P., 2018. Integration of remote sensing evapotranspiration into multi-objective calibration of distributed hydrology–soil–vegetation model (DHSVM) in a humid region of China. Water, 10, 12, 1841. Search in Google Scholar

Parajka, J., Merz, R., Blöschl, G., 2007. Uncertainty and multiple objective calibration in regional water balance modelling: case study in 320 Austrian catchments. Hydrol. Process., 21, 4, 435–446. Search in Google Scholar

Parajka, J., Blöschl, G., 2008. The value of MODIS snow cover data in validating and calibrating conceptual hydrologic models. J. Hydrol., 358, 3–4, 240–258. Search in Google Scholar

Parajka, J., Naeimi, V., Blöschl, G., Komma, J., 2009. Matching ERS scatterometer based soil moisture patterns with simulations of a conceptual dual layer hydrologic model over Austria. Hydrol. Earth Syst. Sci., 13, 259–271. Search in Google Scholar

Rajib, M.A., Merwade, V., Yu, Z., 2016. Multi-objective calibration of a hydrologic model using spatially distributed remotely sensed/in-situ soil moisture. J. Hydrol., 536, 192–207. Search in Google Scholar

Reynolds, J.E., Halldin, S., Xu, C.Y., Seibert, J., Kauffeldt, A., 2017. Sub-daily runoff predictions using parameters calibrated on the basis of data with a daily temporal resolution. Journal of Hydrology, 550, 399–411. Search in Google Scholar

Ribstein, P., 2019. Revisiting a simple degree-day model for integrating satellite data: implementation of SWE-SCA hystereses. Journal of hydrology and hydromechanics, 67, 1, 70–81. Search in Google Scholar

Sahraei, S., Asadzadeh, M., Unduche, F., 2020. Signature-based multi-modelling and multi-objective calibration of hydrologic models: Application in flood forecasting for Canadian Prairies. Journal of Hydrology, 588, 125095. Search in Google Scholar

Seibert, J., 2000. Multi-criteria calibration of a conceptual runoff model using a genetic algorithm, Hydrol. Earth Syst. Sci., 4, 215–224. Search in Google Scholar

Seibert, J., Vis, M., 2012. Teaching hydrological modeling with a user-friendly catchment runoff model software package. Hydrol. Earth Syst. Sci., 16, 9, 3315–3325. Search in Google Scholar

Seibert, J., McDonnell, J.J., Woodsmith, R.D., 2010. Effects of wildfire on catchment runoff response: a modelling approach to detect changes in snow-dominated forested catchments. Hydrology Research, 41, 5, 378–390. Search in Google Scholar

Silvestro, F., Gabellani, S., Rudari, R., Delogu, F., Laiolo, P., Boni, G., 2015. Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data. Hydrology and Earth System Sciences, 19, 4, 1727–1751. Search in Google Scholar

Sleziak, P., Holko, L., Danko, M., Parajka, J., 2020. Uncertainty in the number of calibration repetitions of a hydrologic model in varying climatic conditions. Water, 12, 9, 2362. Search in Google Scholar

Sorman, A.A., Yamankurt, E., 2011. Modified satellite products on snow covered area in upper Euphrates basin, Turkey. Geophys. Res. Abstr., 13, EGU2011-7887. Search in Google Scholar

Széles, B., Parajka, J., Hogan, P., Silasari, R., Pavlin, L., Strauss, P., Blöschl, G., 2020. The added value of different data types for calibrating and testing a hydrologic model in a small catchment. Water Resources Research, 56, 10, e2019WR026153. Search in Google Scholar

Şensoy, A., Uysal, G., Şorman, A.A., 2018. Developing a decision support framework for real‐time flood management using integrated models. Journal of Flood Risk Management, 11, S866–S883. Search in Google Scholar

Şorman, A.A., Şensoy, A., Tekeli, A.E., Şorman, A.Ü., Akyürek, Z., 2009. Modelling and forecasting snowmelt runoff process using the HBV model in the eastern part of Turkey. Hydrol. Process., 23, 7, 1031–1040. Search in Google Scholar

Thornton, J.M., Brauchli, T., Mariethoz, G., Brunner, P., 2021. Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain. Journal of Hydrology, 598, 126241. Search in Google Scholar

Tibangayuka, N., Mulungu, D. M., Izdori, F., 2022. Performance evaluation, sensitivity, and uncertainty analysis of HBV model in Wami Ruvu basin, Tanzania. Journal of Hydrology: Regional Studies, 44, 101266. Search in Google Scholar

Tong, R., Parajka, J., Salentinig, A., Pfeil, I., Komma, J., Széles, B., Kubáň, M., Valent, P., Vreugdenhil, M., Wagner, W., Blöschl, G., 2021. The value of ASCAT soil moisture and MODIS snow cover data for calibrating a conceptual hydrologic model. Hydrol. Earth Syst. Sci., 25, 1389–1410. Search in Google Scholar

Tuo, Y., Marcolini, G., Disse, M., Chiogna, G., 2018. A multi-objective approach to improve SWAT model calibration in alpine catchments. Journal of Hydrology, 559, 347–360. Search in Google Scholar

Udnæs, H.C., Alfnes, E., Andreassen, L.M., 2007. Improving runoff modelling using satellite derived snow covered area. Hydrology Research., 38, 1, 21–32. Search in Google Scholar

Vis, M., Knight, R., Pool, S., Wolfe, W., Seibert, J., 2015. Model calibration criteria for estimating ecological flow characteristics. Water, 7, 5, 2358–2381. Search in Google Scholar

Wagener, T., Montanari, A., 2011. Convergence of approaches toward reducing uncertainty in predictions in ungauged basins. Water Resour. Res., 47, W06301. Search in Google Scholar

Wang, X.W., Xie, H.J., Liang, T. G., Huang. X.D., 2009. Comparison and validation of MODIS standard and new combination of Terra and Aqua snow cover products in northern Xinjiang, China. Hydrological Processes, 23, 419–29. Search in Google Scholar

Zhang, R., Liu, J., Gao, H., Mao, G., 2018. Can multi-objective calibration of streamflow guarantee better hydrological model accuracy? Journal of Hydroinformatics, 20, 3, 687–698. Search in Google Scholar

URL-1: www.nsdic.org/data/docs/noaa Search in Google Scholar

URL-2: www.wrf-model.org Search in Google Scholar

eISSN:
1338-4333
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Technik, Einführungen und Gesamtdarstellungen, andere