Data Assimilation and Sensitivity of the Black Sea Model to Parameters
نویسنده
چکیده
An adjoint based technique is applied to a Shallow Water Model in order to estimate influence of the model’s parameters on the solution. Among parameters the bottom topography, initial conditions, boundary conditions on rigid boundaries, viscosity coefficients and the amplitude of the wind stress tension are considered. Their influence is analyzed from different points of view. Two configurations have been analyzed: an academic case of the model in a square box and a more realistic case simulating Black Sea currents. It is shown in both experiments that the boundary conditions near a rigid boundary influence the most the solution. This fact points out the necessity to identify optimal boundary approximation during a model development.
منابع مشابه
Enhanced Predictions of Tides and Surges through Data Assimilation (TECHNICAL NOTE)
The regional waters in Singapore Strait are characterized by complex hydrodynamic phenomena as a result of the combined effect of three large water bodies viz. the South China Sea, the Andaman Sea, and the Java Sea. This leads to anomalies in water levels and generates residual currents. Numerical hydrodynamic models are generally used for predicting water levels in the ocean and seas. But thei...
متن کاملCapabilities of data assimilation in correcting sea surface temperature in the Persian Gulf
Predicting the quality of water and air is a particular challenge for forecasting systems that support them. In order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. Data assimilation is one of the state of the art methods to be used for this purpose. Due to the importance of...
متن کاملCapabilities of data assimilation in correcting sea surface temperature in the Persian Gulf
Predicting the quality of water and air is a particular challenge for forecasting systems that support them. In order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. Data assimilation is one of the state of the art methods to be used for this purpose. Due to the importance of...
متن کاملهمجوشی دادههای موج در خلیج فارس با مدل طیفی ویوواچ3
The major problems in modeling of different oceanographic and meteorological parameters are limitations in numerical methods and human incomplete knowledge in physical processes involved. As a result, significant differences between the results of these models and in situ observations of these parameters might exist. One of the powerful solutions for decreasing the forecast errors in the models...
متن کاملSensitivity Analysis of Brown Model Waveform in Radar Altimetry
In satellite altimetry (radar altimetry), the altimeter emits a pulse, with known power, to the earth surface and receives it back continuously to determine of the sea surface height. The time series of the mean returned power is recorded individually at satellite as the so-called waveform. Analytical model for the waveform is first introduced by Brown, which consists of six parameters: signif...
متن کامل