A three-dimensional cohesive sediment transport model with data assimilation: Model development, sensitivity analysis and parameter estimation

Wang, Daosheng; Cao, Anzhou; Zhang, Jicai; Fan, Daidu; Liu, Yongzhi; Zhang, Yue

doi:10.1016/j.ecss.2016.08.027

Cited by 32 publications

(22 citation statements)

References 58 publications

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“…The source code of FVCOM is parallel, and a Message Passing Interface (MPI) is used as the message passing system. FVCOM has been successfully applied to coastal areas [30,31], estuaries [32], and data assimilation studies [14,33].…”

Section: Numerical Models For Hab Forecastingmentioning

confidence: 99%

An Integrated Web-Based System for the Monitoring and Forecasting of Coastal Harmful Algae Blooms: Application to Shenzhen City, China

Tian

Huang

2019

JMSE

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Harmful algal blooms (HABs) cause environmental problems worldwide. Continuous monitoring and forecasting of harmful algal blooms are necessary for marine resources managers to detect the intensity and spatial extent of HABs and provide early warnings to the public. In this study, we introduce an integrated web-based system for the monitoring and forecasting of coastal HABs. The system is named the Harmful Algal Blooms Monitoring and Forecasting System (HMFS). HMFS integrates in situ observations, a remote-sensing-based model, hydrodynamic and water quality model and Web-Based Geographic Information System (GIS) techniques into one environment. The in situ sensors and remote sensing model provide automatic and continuous monitoring of the coastal water conditions. The numerical models provide short-term prediction and early warning of HAB of up to 5 days. The overall forecast accuracy is more than or equal to 50% for the major coastal areas of Shenzhen in 2018. By leveraging a web-based GIS technique and Service-Oriented Architecture (SOA), the web portal of HMFS provides a graphic interface for users and mangers to view real-time in situ measurements and remote sensing maps, explore numerical model forecasts and get early warning information. HMFS was applied to Shenzhen, which is a rising megacity in Southern China. The application study demonstrated the applicability and effectiveness of HMFS for monitoring and predicting HABs.

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Section: Numerical Models For Hab Forecastingmentioning

confidence: 99%

An Integrated Web-Based System for the Monitoring and Forecasting of Coastal Harmful Algae Blooms: Application to Shenzhen City, China

Tian

Huang

2019

JMSE

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“…With variables obtained from the forward and adjoint models, gradients with respect to ICs are calculated. ICs at the independent points can be optimized according to (14). The ICs at other grids are determined by interpolation of the values at the independent points.…”

Section: Numerical Experimentsmentioning

confidence: 99%

“…Uniform selection of the independent point over the survey region is quite commonly used in the adjoint model (e.g., [14][15][16][17]). Although this selecting strategy can be realized easily, but it is not a good choice due to little consideration about the physical characteristics of the research object [18].…”

Section: Independent Point Schemementioning

confidence: 99%

“…In practice, how to reduce the influence of ill-posedness caused by excessive control parameters has been a key part of data assimilation and parameter estimation. Several studies have proved that it can be effectively solved by applying independent point scheme (IPS) (e.g., [13][14][15][16][17]). In detail, several grids are selected as independent points (IPs) in the space domain; values of the ICs at the IPs can be optimized, while those at other grids can be calculated through a certain interpolation method with the values at the IPs.…”

Section: Introductionmentioning

confidence: 99%

“…A background value (a small constant) was given to the model with the first few days as the spin-up period to minimize the influence of initial conditions by Fu et al [12]. Another efficient and accurate way to estimate the ICs is through data assimilation using the adjoint method (e.g., [13][14][15][16][17]). …”

Section: Introductionmentioning

confidence: 99%

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Application of Surface Spline Interpolation Method in Parameter Estimation of a PM_2.5 Transport Adjoint Model

Zhang

2018

Mathematical Problems in Engineering

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A new method for the estimation of initial conditions (ICs) in a PM 2.5 transport adjoint model is proposed in this paper. In this method, we construct the field of ICs by interpolating values at independent points using the surface spline interpolation. Compared to the traditionally used linear interpolation, the surface spline interpolation has an advantage for reconstructing continuous smooth surfaces. The method is verified in twin experiments, and the results indicate that this method can produce better inverted ICs and less simulation errors. In practical experiments, simulation results show good agreement with the ground-level observations during the 22nd Asia-Pacific Economic Cooperation summit period, demonstrating that the new method is effective in practical application fields.

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Estimation of spatially varying parameters in three-dimensional cohesive sediment transport models by assimilating remote sensing data

et al. 2017

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A three-dimensional cohesive sediment transport model with data assimilation: Model development, sensitivity analysis and parameter estimation

Cited by 32 publications

References 58 publications

An Integrated Web-Based System for the Monitoring and Forecasting of Coastal Harmful Algae Blooms: Application to Shenzhen City, China

An Integrated Web-Based System for the Monitoring and Forecasting of Coastal Harmful Algae Blooms: Application to Shenzhen City, China

Application of Surface Spline Interpolation Method in Parameter Estimation of a PM_2.5 Transport Adjoint Model

Estimation of spatially varying parameters in three-dimensional cohesive sediment transport models by assimilating remote sensing data

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A three-dimensional cohesive sediment transport model with data assimilation: Model development, sensitivity analysis and parameter estimation

Cited by 32 publications

References 58 publications

An Integrated Web-Based System for the Monitoring and Forecasting of Coastal Harmful Algae Blooms: Application to Shenzhen City, China

An Integrated Web-Based System for the Monitoring and Forecasting of Coastal Harmful Algae Blooms: Application to Shenzhen City, China

Application of Surface Spline Interpolation Method in Parameter Estimation of a PM2.5 Transport Adjoint Model

Estimation of spatially varying parameters in three-dimensional cohesive sediment transport models by assimilating remote sensing data

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Application of Surface Spline Interpolation Method in Parameter Estimation of a PM_2.5 Transport Adjoint Model