Guidance on Setup, Calibration, and Validation of Hydrodynamic, Wave, and Sediment Models for Shelf Seas and Estuaries

Williams, Jon J.; Esteves, Luciana S.

doi:10.1155/2017/5251902

Cited by 47 publications

(45 citation statements)

References 113 publications

(118 reference statements)

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“…The coefficient of correlation was relatively high and varied between 0.63 and 0.73 and between 0.62 and 0.71 for the first and second water column layer, respectively. For both layers, the RMSE and BIAS obtained for velocity modulus, and for the current components of the velocity (u and v) was always lower than 0.2 which indicates a statistically significant fit [55]. Regarding the current direction, the RMSE and BIAS determined indicate the occurrence of slight differences between observed and simulated data.…”

Section: Currents-adcp Analysismentioning

confidence: 82%

“…In the present study, observed and modelled results were compared using the correlation coefficient (r), root mean square error (RMSE), and BIAS index (mean error). The formulas that express these statistics followed the ones presented in Williams and Esteves [55] where n represents the number of model/observation data pairs, whilst M and O stand for model and observation, respectively:…”

Section: Statisticsmentioning

confidence: 99%

“…These authors found that model predictions do not fit perfectly with the HF radar data probably due to the high spatial variability of velocity that changes in spatial scales shorter than the model cell size. Nonetheless, in 3D hydrodynamic models, validation requires the comparison of the model results with at least sea level, current speed, and current direction [54,55], and since the model application is baroclinic, validation should also consider seawater temperature and salinity. Janeiro et al [30] validated a 3D application of the MOHID Water model for southern Portugal by comparing in situ measurements and HF Radar with predictions for all the five variables above.…”

Section: Introductionmentioning

confidence: 99%

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Validation of the 3D-MOHID Hydrodynamic Model for the Tagus Coastal Area

Pablo

Sobrinho

García

et al. 2019

Water

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The hydrodynamics of the TagusROFI (Regions of Freshwater Influence) is affected by the coastal upwelling, the estuarine tidal flow, the thermohaline circulation that is modulated by the Tagus freshwater discharge, and by its complex bathymetry. The use of numerical models is the best way to explain the processes that characterize this region. These models are also crucial to answer important scientific and management questions. Nevertheless, the robustness of the products derived from models depend on their accuracy and therefore models must be validated to determine the uncertainty associated. Time and space variability of the driving forces and of bathymetry enhance flow complexity increasing validation difficulties, requiring continuous high-resolution data to describe flow and thermohaline horizontal and vertical variabilities. In the present work, to increase the precision and accuracy of the coastal processes simulations, the sub-systems coastal area and the Tagus estuary were integrated into a single domain, which considers higher resolution grids in both horizontal and vertical directions. The three-dimensiosal (3D)-MOHID Water model was validated for the TagusROFI by comparing statistically modelling results with in situ and satellite L4 data. Validation with a conductivity, temperature, and depth probe (CTD), an acoustic doppler current profiler (ADCP) and satellite data was performed for the first time. Validation against tidal gauges showed that the model is able to simulate tidal propagation inside the estuary with accuracy. A very good agreement between CTD data and surface sea water temperature (SST) and salinity simulations was observed. The validation of current direction and velocity from ADCP data also indicated a high model accuracy for these variables. Comparisons between model and satellite for SST also showed that the model produces realistic SSTs and upwelling events. Overall results showed that MOHID setup and parametrisations are well implemented for the TagusROFI domain. These results are even more important when a 3D model is used in simulations due to its complexity once it considers both horizontal and vertical discretization allowing a better representation of the heat and salinity fluxes in the water column. Moreover, the results achieved indicates that 3D-MOHID is robust enough to run in operational mode, including its forecast ability, fundamental to be used as a management tool.

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Section: Currents-adcp Analysismentioning

confidence: 82%

Section: Statisticsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Validation of the 3D-MOHID Hydrodynamic Model for the Tagus Coastal Area

Pablo

Sobrinho

García

et al. 2019

Water

View full text Add to dashboard Cite

show abstract

“…Additionally, the mean absolute error (ε) between observations and predictions was calculated as, for all N validation observations at each site. An error of less than 0.1 m is recommended for estuarine waters (Williams and Esteves 2017), and a combination of both visual and statistical validation is recommended for gauging model accuracy (Biondi et al 2012). Because the models presented here are not intended to be used for engineering or design input, but rather for ecological studies, a satisfaction criterion of R 2 > 0.5 and ε < 0.1 m was implemented.…”

Section: Methodsmentioning

confidence: 99%

Urbanization plays a minor role in the flooding and surface water chemistry of Puerto Rico’s mangroves

Branoff

2018

Preprint

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Although hydrology and water chemistry are known to change in proximity to cities, there remains little empirical evidence connecting specific components of urban landscapes to mangrove flooding dynamics or surface water chemistry. This study constructs five-year water level models from tidal harmonics and precipitation inputs to characterize mangrove flooding across urban gradients in three watersheds of Puerto Rico. There was some evidence for an influence of urbanization on both flooding and water chemistry, but this depended on the definition of urbanness, and points instead to geomorphology as the primary culprit. Urban sites exhibited 46% longer hydroperiods and 450% lower depths than non-urban sites. Rainfall importance was explained more by geomorphology than by urbanization and suggested systems with limited tidal connectivity are four times more sensitive to rainfall than systems with full tidal connectivity. There was also evidence for changes in tidal amplitudes along the urban gradient, which may explain the observed differences in flooding. Relationships between surface water chemical metrics and land cover contradicted previous studies by suggesting lower nutrients and biochemical oxygen demand with increasing urbanization. These results reinforce the understanding that the most important drivers of urban mangrove hydrology and water quality in Puerto Rico are likely geomorphology and tidal connectivity, with little but not zero influence from surrounding land cover. Results should be considered alongside the reported errors stemming from inaccuracies in digital elevation and rainfall response models, and will be useful in understanding future ecological censuses on the island.

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“…Model calibration or tuning is a subject with extensive literature [25,9]. The conservative approach is to estimate the parameters in an expert way [11,17].…”

Section: Related Workmentioning

confidence: 99%

Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model

Vychuzhanin¹,

Nikitin²,

Kalyuzhnaya³

2019

Lecture Notes in Computer Science

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The adaptation of numerical wind wave models to the local time-spatial conditions is a problem that can be solved by using various calibration techniques. However, the obtained sets of physical parameters become over-tuned to specific events if there is a lack of observations. In this paper, we propose a robust evolutionary calibration approach that allows to build the stochastic ensemble of perturbed models and use it to achieve the trade-off between quality and robustness of the target model. The implemented robust ensemble-based evolutionary calibration (REBEC) approach was compared to the baseline SPEA2 algorithm in a set of experiments with the SWAN wind wave model configuration for the Kara Sea domain. Provided metrics for the set of scenarios confirm the effectiveness of the REBEC approach for the majority of calibration scenarios.

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Guidance on Setup, Calibration, and Validation of Hydrodynamic, Wave, and Sediment Models for Shelf Seas and Estuaries

Cited by 47 publications

References 113 publications

Validation of the 3D-MOHID Hydrodynamic Model for the Tagus Coastal Area

Validation of the 3D-MOHID Hydrodynamic Model for the Tagus Coastal Area

Urbanization plays a minor role in the flooding and surface water chemistry of Puerto Rico’s mangroves

Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model

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