Articles | Volume 26, issue 13
https://doi.org/10.5194/hess-26-3651-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-3651-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A novel objective function DYNO for automatic multivariable calibration of 3D lake models
Department of Civil and Environmental Engineering, National University of Singapore, 117576, Singapore
Department of Industrial Systems Engineering and Management, National University of Singapore, 117576, Singapore
Energy and Environmental Sustainability for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 138602, Singapore
Taimoor Akhtar
RWDI Consulting Engineers and Scientists, N1G 4P6, ON, Canada
Christine A. Shoemaker
Department of Civil and Environmental Engineering, National University of Singapore, 117576, Singapore
Department of Industrial Systems Engineering and Management, National University of Singapore, 117576, Singapore
Energy and Environmental Sustainability for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 138602, Singapore
Related authors
No articles found.
Haris Mushtaq, Taimoor Akhtar, Muhammad Zia-ur-Rahman Hashmi, and Amjad Masood
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-213, https://doi.org/10.5194/hess-2022-213, 2022
Preprint withdrawn
Short summary
Short summary
The study examined ML models for data-driven rainfall–runoff modeling for their capacity of streamflow simulation in four highly seasonal and data-scarce catchments. The SHAP method employed here gives extensive insights into the influence of each variable on simulated streamflow. Our results show that SHAP analysis helps in developing hydrological interpretations of machine learning models and promote its use for streamflow forecasting in data scarce and high elevation catchments.
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Mathematical applications
The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought
Decreased virtual water outflows from the Yellow River basin are increasingly critical to China
AI-based techniques for multi-step streamflow forecasts: application for multi-objective reservoir operation optimization and performance assessment
Optimal water use strategies for mitigating high urban temperatures
Physical versus economic water footprints in crop production: a spatial and temporal analysis for China
Development of a revised method for indicators of hydrologic alteration for analyzing the cumulative impacts of cascading reservoirs on flow regime
Changing global cropping patterns to minimize national blue water scarcity
Climate change impacts on the Water Highway project in Morocco
HESS Opinions: How should a future water census address consumptive use? (And where can we substitute withdrawal data while we wait?)
Complex relationship between seasonal streamflow forecast skill and value in reservoir operations
Water footprint of crop production for different crop structures in the Hebei southern plain, North China
Benchmark levels for the consumptive water footprint of crop production for different environmental conditions: a case study for winter wheat in China
Technical note: Multiple wavelet coherence for untangling scale-specific and localized multivariate relationships in geosciences
Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds
The question of Sudan: a hydro-economic optimization model for the Sudanese Blue Nile
Evolution of the human–water relationships in the Heihe River basin in the past 2000 years
A dynamic water accounting framework based on marginal resource opportunity cost
Climate change and non-stationary flood risk for the upper Truckee River basin
Determining regional limits and sectoral constraints for water use
China's water sustainability in the 21st century: a climate-informed water risk assessment covering multi-sector water demands
Recent evolution of China's virtual water trade: analysis of selected crops and considerations for policy
Assessing water reservoirs management and development in Northern Vietnam
A framework for the quantitative assessment of climate change impacts on water-related activities at the basin scale
William Rust, John P. Bloomfield, Mark Cuthbert, Ron Corstanje, and Ian Holman
Hydrol. Earth Syst. Sci., 26, 2449–2467, https://doi.org/10.5194/hess-26-2449-2022, https://doi.org/10.5194/hess-26-2449-2022, 2022
Short summary
Short summary
We highlight the importance of the North Atlantic Oscillation in controlling droughts in the UK. Specifically, multi-year cycles in the NAO are shown to influence the frequency of droughts and this influence changes considerably over time. We show that the influence of these varying controls is similar to the projected effects of climate change on water resources. We also show that these time-varying behaviours have important implications for water resource forecasts used for drought planning.
Shuang Song, Shuai Wang, Xutong Wu, Yongyuan Huang, and Bojie Fu
Hydrol. Earth Syst. Sci., 26, 2035–2044, https://doi.org/10.5194/hess-26-2035-2022, https://doi.org/10.5194/hess-26-2035-2022, 2022
Short summary
Short summary
A reasonable assessment of the contribution of the water resources in a river basin to domestic crops supplies will be the first step in balancing the water–food nexus. Our results showed that although the Yellow River basin had reduced its virtual water outflow, its importance to crop production in China had been increasing when water footprint networks were considered. Our complexity-based approach provides a new perspective for understanding changes in a basin with a severe water shortage.
Yuxue Guo, Xinting Yu, Yue-Ping Xu, Hao Chen, Haiting Gu, and Jingkai Xie
Hydrol. Earth Syst. Sci., 25, 5951–5979, https://doi.org/10.5194/hess-25-5951-2021, https://doi.org/10.5194/hess-25-5951-2021, 2021
Short summary
Short summary
We developed an AI-based management methodology to assess forecast quality and forecast-informed reservoir operation performance together due to uncertain inflow forecasts. Results showed that higher forecast performance could lead to improved reservoir operation, while uncertain forecasts were more valuable than deterministic forecasts. Moreover, the relationship between the forecast horizon and reservoir operation was complex and depended on operating configurations and performance measures.
Bin Liu, Zhenghui Xie, Shuang Liu, Yujing Zeng, Ruichao Li, Longhuan Wang, Yan Wang, Binghao Jia, Peihua Qin, Si Chen, Jinbo Xie, and ChunXiang Shi
Hydrol. Earth Syst. Sci., 25, 387–400, https://doi.org/10.5194/hess-25-387-2021, https://doi.org/10.5194/hess-25-387-2021, 2021
Short summary
Short summary
We implemented both urban water use schemes in a model (Weather Research and Forecasting model) and assessed their cooling effects with different amounts of water in different parts of the city (center, suburbs, and rural areas) for both road sprinkling and urban irrigation by model simulation. Then, we developed an optimization scheme to find out the optimal water use strategies for mitigating high urban temperatures.
Xi Yang, La Zhuo, Pengxuan Xie, Hongrong Huang, Bianbian Feng, and Pute Wu
Hydrol. Earth Syst. Sci., 25, 169–191, https://doi.org/10.5194/hess-25-169-2021, https://doi.org/10.5194/hess-25-169-2021, 2021
Short summary
Short summary
Maximizing economic benefits with higher water productivity or lower water footprint is the core sustainable goal of agricultural water resources management. Here we look at spatial and temporal variations and developments in both production-based (PWF) and economic value-based (EWF) water footprints of crops, by taking a case study for China. A synergy evaluation index is proposed to further quantitatively evaluate the synergies and trade-offs between PWF and EWF.
Xingyu Zhou, Xiaorong Huang, Hongbin Zhao, and Kai Ma
Hydrol. Earth Syst. Sci., 24, 4091–4107, https://doi.org/10.5194/hess-24-4091-2020, https://doi.org/10.5194/hess-24-4091-2020, 2020
Short summary
Short summary
The main objective of this work is to discuss the cumulative effects on flow regime with the construction of cascade reservoirs. A revised IHA (indicators of hydrologic alteration) method was developed by using a projection pursuit method based on the real-coded accelerated genetic algorithm in this study. Through this method, IHA parameters with a high contribution to hydrological-alteration evaluation could be selected out and given high weight to reduce the redundancy among the IHA metrics.
Hatem Chouchane, Maarten S. Krol, and Arjen Y. Hoekstra
Hydrol. Earth Syst. Sci., 24, 3015–3031, https://doi.org/10.5194/hess-24-3015-2020, https://doi.org/10.5194/hess-24-3015-2020, 2020
Short summary
Short summary
Previous studies on water saving through food trade focussed either on comparing water productivities among countries or on analysing food trade in relation to national water endowments. Here, we consider, for the first time, both differences in water productivities and water endowments to analyse national comparative advantages. Our study reveals that blue water scarcity can be reduced to sustainable levels by changing cropping patterns while maintaining current levels of global production.
Nabil El Moçayd, Suchul Kang, and Elfatih A. B. Eltahir
Hydrol. Earth Syst. Sci., 24, 1467–1483, https://doi.org/10.5194/hess-24-1467-2020, https://doi.org/10.5194/hess-24-1467-2020, 2020
Short summary
Short summary
The present work addresses the impact of climate change on the Water Highway project in Morocco. This project aims to transfer 860 × 106 m3 yr−1 of water from the north to the south. As the project is very sensitive to the availability of water in the northern regions, we evaluate its feasibility under different future climate change scenarios: under a pessimistic climate scenario, the project is infeasible; however, under an optimistic scenario a rescaled version might be feasible.
Benjamin L. Ruddell
Hydrol. Earth Syst. Sci., 22, 5551–5558, https://doi.org/10.5194/hess-22-5551-2018, https://doi.org/10.5194/hess-22-5551-2018, 2018
Short summary
Short summary
We now lack sufficient empirical observations of consumptive use of water by humans and their economy, so it is worth considering what we can do with the withdrawal-based water use data we already possess. Fortunately, a wide range of applied water management and policy questions can be addressed using currently available withdrawal data. This discussion identifies important data collection problems and argues that the withdrawal data we already possess are adequate for some important purposes.
Sean W. D. Turner, James C. Bennett, David E. Robertson, and Stefano Galelli
Hydrol. Earth Syst. Sci., 21, 4841–4859, https://doi.org/10.5194/hess-21-4841-2017, https://doi.org/10.5194/hess-21-4841-2017, 2017
Short summary
Short summary
This study investigates the relationship between skill and value of ensemble seasonal streamflow forecasts. Using data from a modern forecasting system, we show that skilled forecasts are more likely to provide benefits for reservoirs operated to maintain a target water level rather than reservoirs operated to satisfy a target demand. We identify the primary causes for this behaviour and provide specific recommendations for assessing the value of forecasts for reservoirs with supply objectives.
Yingmin Chu, Yanjun Shen, and Zaijian Yuan
Hydrol. Earth Syst. Sci., 21, 3061–3069, https://doi.org/10.5194/hess-21-3061-2017, https://doi.org/10.5194/hess-21-3061-2017, 2017
Short summary
Short summary
In this study, we analyzed the water footprint (WF) of crop production and found winter wheat, summer maize and vegetables were the top water-consuming crops in the Hebei southern plain (HSP). The total WF, WFblue, WFgreen and WFgrey for 13 years (2000–2012) of crop production were 604.8, 288.5, 141.3 and 175.0 km3, respectively, with an annual downtrend from 2000 to 2012. Finally, we evaluated a reasonable farming structure by analyzing scenarios of the main crops' WF.
La Zhuo, Mesfin M. Mekonnen, and Arjen Y. Hoekstra
Hydrol. Earth Syst. Sci., 20, 4547–4559, https://doi.org/10.5194/hess-20-4547-2016, https://doi.org/10.5194/hess-20-4547-2016, 2016
Short summary
Short summary
Benchmarks for the water footprint (WF) of crop production can serve as a reference and be helpful in setting WF reduction targets. The study explores which environmental factors should be distinguished when determining benchmarks for the consumptive (green and blue) WF of crops. Through a case study for winter wheat in China over 1961–2008, we find that when determining benchmark levels for the consumptive WF of a crop, it is most useful to distinguish between different climate zones.
Wei Hu and Bing Cheng Si
Hydrol. Earth Syst. Sci., 20, 3183–3191, https://doi.org/10.5194/hess-20-3183-2016, https://doi.org/10.5194/hess-20-3183-2016, 2016
Short summary
Short summary
Bivariate wavelet coherence has been used to explore scale- and location-specific relationships between two variables. In reality, a process occurring on land surface is usually affected by more than two factors. Therefore, this manuscript is to develop a multiple wavelet coherence method. Results showed that new method outperforms other multivariate methods. Matlab codes for a new method are provided. This method can be widely applied in geosciences where a variable is controlled by many factors.
Julie E. Shortridge, Seth D. Guikema, and Benjamin F. Zaitchik
Hydrol. Earth Syst. Sci., 20, 2611–2628, https://doi.org/10.5194/hess-20-2611-2016, https://doi.org/10.5194/hess-20-2611-2016, 2016
Short summary
Short summary
This paper compares six methods for data-driven rainfall–runoff simulation in terms of predictive accuracy, error structure, interpretability, and uncertainty. We demonstrate that autocorrelation in model errors can result in biased estimates of important values and show how certain model structures can be more easily interpreted to yield insights on physical watershed function. Finally, we explore how model structure can impact uncertainty in climate change sensitivity estimates.
S. Satti, B. Zaitchik, and S. Siddiqui
Hydrol. Earth Syst. Sci., 19, 2275–2293, https://doi.org/10.5194/hess-19-2275-2015, https://doi.org/10.5194/hess-19-2275-2015, 2015
Z. Lu, Y. Wei, H. Xiao, S. Zou, J. Xie, J. Ren, and A. Western
Hydrol. Earth Syst. Sci., 19, 2261–2273, https://doi.org/10.5194/hess-19-2261-2015, https://doi.org/10.5194/hess-19-2261-2015, 2015
Short summary
Short summary
This paper quantitatively analyzed the evolution of human-water relationships in the Heihe River basin over the past 2000 years by reconstructing the catchment water balance. The results provided the basis for investigating the impacts of human societies on hydrological systems. The evolutionary processes of human-water relationships can be divided into four stages: predevelopment, take-off, acceleration, and rebalancing. And the transition of the human-water relationship had no fixed pattern.
A. Tilmant, G. Marques, and Y. Mohamed
Hydrol. Earth Syst. Sci., 19, 1457–1467, https://doi.org/10.5194/hess-19-1457-2015, https://doi.org/10.5194/hess-19-1457-2015, 2015
Short summary
Short summary
As water resources are increasingly used for various purposes, there is a need for a unified framework to describe, quantify and classify water use in a region, be it a catchment, a river basin or a country. This paper presents a novel water accounting framework whereby the contribution of traditional water uses but also storage services are properly considered.
L. E. Condon, S. Gangopadhyay, and T. Pruitt
Hydrol. Earth Syst. Sci., 19, 159–175, https://doi.org/10.5194/hess-19-159-2015, https://doi.org/10.5194/hess-19-159-2015, 2015
T. K. Lissner, C. A. Sullivan, D. E. Reusser, and J. P. Kropp
Hydrol. Earth Syst. Sci., 18, 4039–4052, https://doi.org/10.5194/hess-18-4039-2014, https://doi.org/10.5194/hess-18-4039-2014, 2014
X. Chen, D. Naresh, L. Upmanu, Z. Hao, L. Dong, Q. Ju, J. Wang, and S. Wang
Hydrol. Earth Syst. Sci., 18, 1653–1662, https://doi.org/10.5194/hess-18-1653-2014, https://doi.org/10.5194/hess-18-1653-2014, 2014
J. Shi, J. Liu, and L. Pinter
Hydrol. Earth Syst. Sci., 18, 1349–1357, https://doi.org/10.5194/hess-18-1349-2014, https://doi.org/10.5194/hess-18-1349-2014, 2014
A. Castelletti, F. Pianosi, X. Quach, and R. Soncini-Sessa
Hydrol. Earth Syst. Sci., 16, 189–199, https://doi.org/10.5194/hess-16-189-2012, https://doi.org/10.5194/hess-16-189-2012, 2012
D. Anghileri, F. Pianosi, and R. Soncini-Sessa
Hydrol. Earth Syst. Sci., 15, 2025–2038, https://doi.org/10.5194/hess-15-2025-2011, https://doi.org/10.5194/hess-15-2025-2011, 2011
Cited articles
Akhtar, T. and Shoemaker, C. A.: Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and
multi-rule selection, J. Global Optimiz., 64, 17–32, 2016.
Afshar, A., Kazemi, H., and Saadatpour, M.: Particle swarm optimization for
automatic calibration of large scale water quality model (CE-QUAL-W2):
Application to Karkheh Reservoir, Iran, Water Resour. Manage., 25, 2613–2632, 2011.
Afshar, A., Shojaei, N., and Sagharjooghifarahani, M.: Multiobjective calibration of reservoir water quality modeling using multiobjective particle swarm optimization (MOPSO), Water Resour. Manage., 27, 1931–1947, 2013.
Alfonso, L., Jonoski, A., and Solomatine, D.: Multiobjective optimization of
operational responses for contaminant flushing in water distribution networks, J. Water Resour. Pl. Manage., 136, 48–58, 2010.
Amadori, M., Giovannini, L., Toffolon, M., Piccolroaz, S., Zardi, D.,
Bresciani, M., Giardino, C., Luciani, G., Kliphuis, M., and van Haren, H.:
Multi-scale evaluation of a 3D lake model forced by an atmospheric model
against standard monitoring data, Environ. Model. Softw., 139, 105017, https://doi.org/10.1016/j.envsoft.2021.105017, 2021.
Ayala, A. I., Moras, S., and Pierson, D. C.: Simulations of future changes in thermal structure of Lake Erken: proof of concept for ISIMIP2b lake sector local simulation strategy, Hydrol. Earth Syst. Sci., 24, 3311–3330, https://doi.org/10.5194/hess-24-3311-2020, 2020.
Baracchini, T., Hummel, S., Verlaan, M., Cimatoribus, A., Wüest, A., and
Bouffard, D.: An automated calibration framework and open source tools for
3D lake hydrodynamic models, Environmental Model. Softw., 134, 104787, https://doi.org/10.1016/j.envsoft.2020.104787, 2020.
Bartlett, M., Parolari, A. J., McDonnell, J., and Porporato, A.: Beyond the
SCS-CN method: A theoretical framework for spatially lumped rainfall-runoff
response, Water Resour. Res., 52, 4608–4627, 2016.
Bartz-Beielstein, T. and Zaefferer, M.: Model-based methods for continuous
and discrete global optimization, Appl. Soft Comput., 55, 154–167, 2017.
Beletsky, D., Schwab, D., and McCormick, M.: Modeling the 1998–2003 summer
circulation and thermal structure in Lake Michigan, J. Geophys. Res.-Oceans, 111, C10010, https://doi.org/10.1029/2005JC003222, 2006.
Chanudet, V., Fabre, V., and van der Kaaij, T.: Application of a three-dimensional hydrodynamic model to the Nam Theun 2 Reservoir (Lao PDR), J. Great Lakes Res., 38, 260–269, 2012.
Coulon, C., Pryet, A., Lemieux, J.-M., Yrro, B. J. F., Bouchedda, A., Gloaguen, E., Comte, J.-C., Dupuis, J. C., and Banton, O.: A framework for
parameter estimation using sharp-interface seawater intrusion models, J. Hydrol., 600, 126509, https://doi.org/10.1016/j.jhydrol.2021.126509, 2021.
Davis, L.: Handbook of genetic algorithms, Van Nostrand Reinhold, New York, ISBN 0442001738, 1991.
Delft: Delft3D-FLOW open source, Delft [code], https://oss.deltares.nl/web/delft3d/source-code, last access: 9 July 2022.
Deltares: Delft3D-FLOW user manual, Deltares, Delft, the Netherlands, https://content.oss.deltares.nl/delft3d/manuals/Delft3D-FLOW_User_Manual.pdf (last access: 9 July 2022), 2014.
Elhakeem, A., Elshorbagy, W., and Bleninger, T.: Long-term hydrodynamic
modeling of the Arabian Gulf, Mar. Pollut. Bull., 94, 19–36, 2015.
Fabio, P., Aronica, G. T., and Apel, H.: Towards automatic calibration of 2-D flood propagation models, Hydrol. Earth Syst. Sci., 14, 911–924, https://doi.org/10.5194/hess-14-911-2010, 2010.
Franco, A. C. L., Oliveira, D. Y. d., and Bonumá, N. B.: Comparison of
single-site, multi-site and multi-variable SWAT calibration strategies,
Hydrolog. Sci. J., 65, 2376–2389, 2020.
Galelli, S., Castelletti, A., and Goedbloed, A.: High-Performance Integrated
Control of water quality and quantity in urban water reservoirs, Water Resour. Res., 51, 9053–9072, 2015.
Gaudard, A., Schwefel, R., Vinnå, L. R., Schmid, M., Wüest, A., and Bouffard, D.: Optimizing the parameterization of deep mixing and internal seiches in one-dimensional hydrodynamic models: a case study with Simstrat v1.3, Geosci. Model Dev., 10, 3411–3423, https://doi.org/10.5194/gmd-10-3411-2017, 2017.
Giuliani, M., Castelletti, A., Pianosi, F., Mason, E., and Reed, P. M.:
Curses, tradeoffs, and scalable management: Advancing evolutionary multiobjective direct policy search to improve water reservoir operations, J. Water Resour. Pl. Manage., 142, 04015050, https://doi.org/10.1061/(ASCE)WR.1943-5452.0000570, 2016.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, J. Hydrol., 377, 80–91, 2009.
Haftka, R. T., Villanueva, D., and Chaudhuri, A.: Parallel surrogate-assisted global optimization with expensive functions – a survey, Struct. Multidisciplin. Optimiz., 54, 3-13, 2016.
Herman, J. D., Zeff, H. B., Reed, P. M., and Characklis, G. W.: Beyond optimality: Multistakeholder robustness tradeoffs for regional water portfolio planning under deep uncertainty, Water Resour. Res., 50, 7692–7713, 2014.
Huang, A., Rao, Y. R., Lu, Y., and Zhao, J.: Hydrodynamic modeling of Lake
Ontario: An intercomparison of three models, J. Geophys. Res.-Oceans, 115, C12076, https://doi.org/10.1029/2010JC006269, 2010.
Hui, Y., Zhu, Z., and Atkinson, J. F.: Mass balance analysis and calculation
of wind effects on heat fluxes and water temperature in a large lake, J. Great Lakes Res., 44, 1293–1305, 2018.
Jin, K.-R., Hamrick, J. H., and Tisdale, T.: Application of three-dimensional hydrodynamic model for Lake Okeechobee, J. Hydraul. Eng., 126, 758–771, 2000.
Kaçýkoç, M. and Beyhan, M.: Hydrodynamic and water quality
modeling of Lake Eðirdir, Clean-Soil Air Water, 42, 1573–1582, 2014.
Kollat, J. B., Reed, P. M., and Wagener, T.: When are multiobjective calibration trade-offs in hydrologic models meaningful?, Water Resour. Res., 48, W03520, https://doi.org/10.1029/2011WR011534, 2012.
Lu, D., Ricciuto, D., Stoyanov, M., and Gu, L.: Calibration of the E3SM land
model using surrogate-based global optimization, J. Adv. Model.Earth Syst., 10, 1337–1356, 2018.
Luo, L., Hamilton, D., Lan, J., McBride, C., and Trolle, D.: Autocalibration of a one-dimensional hydrodynamic-ecological model (DYRESM 4.0-CAEDYM 3.1) using a Monte Carlo approach: simulations of hypoxic events in a polymictic lake, Geosci. Model Dev., 11, 903–913, https://doi.org/10.5194/gmd-11-903-2018, 2018.
Marti, C. L., Mills, R., and Imberger, J.: Pathways of multiple inflows into
a stratified reservoir: Thomson Reservoir, Australia, Adv. Water Resour., 34, 551–561, 2011.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., and Veith, T. L.: Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Transactions of the ASABE, 50, 885–900, https://doi.org/10.13031/2013.23153, 2007.
Moriasi, D. N., Gitau, M. W., Pai, N., and Daggupati, P.: Hydrologic and water quality models: Performance measures and evaluation criteria, Transactions of the ASABE, 58, 1763–85, https://doi.org/10.13031/trans.58.10715, 2015.
Odusanya, A. E., Mehdi, B., Schürz, C., Oke, A. O., Awokola, O. S., Awomeso, J. A., Adejuwon, J. O., and Schulz, K.: Multi-site calibration and validation of SWAT with satellite-based evapotranspiration in a data-sparse catchment in southwestern Nigeria, Hydrol. Earth Syst. Sci., 23, 1113–1144, https://doi.org/10.5194/hess-23-1113-2019, 2019.
Parsapour-Moghaddam, P. and Rennie, C. D.: Calibration of a 3D hydrodynamic
meandering river model using fully spatially distributed 3D ADCP velocity
data, J. Hydraul. Eng., 144, 04018010, https://doi.org/10.1061/(ASCE)HY.1943-7900.0001424, 2018.
Paturi, S., Boegman, L., Bouffard, D., and Rao, Y. R.: Three-dimensional
simulation of Lake Ontario North-Shore hydrodynamics and contaminant
transport, J. Hydraul. Eng., 141, 04014082, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000963, 2014.
Pelletier, G. J., Chapra, S. C., and Tao, H.: QUAL2Kw – A framework for
modeling water quality in streams and rivers using a genetic algorithm for
calibration, Environ. Model. Softw., 21, 419–425, 2006.
Pijcke, G.: Water quality modelling for Gardens by the Bay, Singapore,
National University of Singapore, Singapore, https://repository.tudelft.nl/islandora/object/uuid:aafa8936-35b5-41c7-b294-26c72860feec/datastream/OBJ/download (last access: 9 July 2022), 2014.
PUB Singapore: PUB, Singapore’s National Water Agency, PUB [data set], https://www.pub.gov.sg/, last access: 9 July 2022.
Råman Vinnå, L., Wüest, A., and Bouffard, D.: Physical effects of thermal pollution in lakes, Water Resour. Res., 53, 3968–3398, 2017.
Razavi, S., Tolson, B. A., and Burn, D. H.: Review of surrogate modeling in
water resources, Water Resour. Res., 48, W07401, https://doi.org/10.1029/2011WR011527, 2012.
Reed, P. M., Hadka, D., Herman, J. D., Kasprzyk, J. R., and Kollat, J. B.:
Evolutionary multiobjective optimization in water resources: The past, present, and future, Adv. Water Resour., 51, 438–456, 2013.
Regis, R. G. and Shoemaker, C. A.: Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization, Eng. Optimiz., 45, 529–555, 2013.
Solomatine, D. P., Dibike, Y. B., and Kukuric, N.: Automatic calibration of
groundwater models using global optimization techniques, Hydrolog. Sci. J., 44, 879–894, 1999.
Soulignac, F., Vinçon-Leite, B., Lemaire, B. J., Martins, J. R. S.,
Bonhomme, C., Dubois, P., Mezemate, Y., Tchiguirinskaia, I., Schertzer, D.,
and Tassin, B.: Performance Assessment of a 3D Hydrodynamic Model Using High
Temporal Resolution Measurements in a Shallow Urban Lake, Environ. Model. Assess., 22, 309–322, 2017.
Tasoulis, D. K., Pavlidis, N. G., Plagianakos, V. P., and Vrahatis, M. N.:
Parallel differential evolution, in: Proceedings of the 2004 Congress on
Evolutionary Computationm, IEEE Cat. No. 04TH8753, 19–23 June 2004, Portland, OR, USA, 2023–2029, https://doi.org/10.1109/CEC.2004.1331024, 2004.
Uittenbogaard, R. E., Van Kester, J. T. M., and Stelling, G. S.: Implementation of Three Turbulence Models in TRISULA for Rectangular Horizontal Grids: Including 2DV-testcases, Delft Hydraulics, Delft, https://puc.overheid.nl/doc/PUC_96984_31 (last access, 9 July 2022), 1992.
Wagner, C. R. and Mueller, D. S.: Use of velocity data to calibrate and
validate two-dimensional hydrodynamic models, in: Proceedings of the Second
Federal Interagency Hydrologic Modeling Conference, 28 July–1 August 2002, Las Vegas, Nevada, https://www.researchgate.net/publication/242185919, last access: 9 July 2022.
Wahl, B. and Peeters, F.: Effect of climatic changes on stratification and
deep-water renewal in Lake Constance assessed by sensitivity studies with a
3D hydrodynamic model, Limnology and Oceanography, 59, 1035-1052, 2014.
Wilson, H. L., Ayala, A. I., Jones, I. D., Rolston, A., Pierson, D., de Eyto, E., Grossart, H.-P., Perga, M.-E., Woolway, R. I., and Jennings, E.: Variability in epilimnion depth estimations in lakes, Hydrol. Earth Syst. Sci., 24, 5559–5577, https://doi.org/10.5194/hess-24-5559-2020, 2020.
Xia, W.: PODS, Zenodo [code], https://doi.org/10.5281/zenodo.6120211, 2022a.
Xia, W.: DYNO-pods, Dynamically Normalized Objective Function, Zenodo [code], https://doi.org/10.5281/zenodo.6117769, 2022b.
Xia, W. and Shoemaker, C.: GOPS: efficient RBF surrogate global optimization
algorithm with high dimensions and many parallel processors including
application to multimodal water quality PDE model calibration, Optimiz. Eng., 22, 2741–2777, https://doi.org/10.1007/s11081-020-09556-1, 2021.
Xia, W. and Shoemaker, C. A.: Improving the speed of global parallel optimization on PDE models with processor affinity scheduling, Comput.-Aid. Civ. Infrastruct. Eng., 37, 279–299, 2022a.
Xia, W. and Shoemaker, C. A.: A Repetitive Parameterization and Optimization
Strategy for the Calibration of Complex and Computationally Expensive
Process-based Models with Application to a 3D Water Quality Model of a
Tropical Reservoir, Water Resour. Res., 58, e2021WR031054, https://doi.org/10.1029/2021WR031054, 2022b.
Xia, W., Shoemaker, C., Akhtar, T., and Nguyen, M.-T.: Efficient Parallel
Surrogate Optimization Algorithm and Framework with Application to Parameter
Calibration of Computationally Expensive Three-dimensional Hydrodynamic Lake
PDE Models, Environ. Model. Softw., 135, 104910, https://doi.org/10.1016/j.envsoft.2020.104910, 2021.
Xu, C., Zhang, J., Bi, X., Xu, Z., He, Y., and Gin, K. Y.-H.: Developing an
integrated 3D-hydrodynamic and emerging contaminant model for assessing water quality in a Yangtze Estuary Reservoir, Chemosphere, 188, 218–230, 2017.
Xue, P., Schwab, D. J., and Hu, S.: An investigation of the thermal response
to meteorological forcing in a hydrodynamic model of Lake Superior, J. Geophys. Res.-Oceans, 120, 5233–5253, 2015.
Short summary
The common practice of calibrating lake hydrodynamic models only to temperature data is shown to be unable to reproduce the flow dynamics well. We proposed a new dynamically normalized objective function (DYNO) for multivariable calibration to be used with parallel or serial optimization methods. DYNO is successfully applied to simultaneously calibrate the temperature and velocity of a 3-dimensional tropical lake model.
The common practice of calibrating lake hydrodynamic models only to temperature data is shown to...