Dina Silva

Long-Term Significant Wave Height Forecasting in the Western Atlantic Ocean Using Deep Learning

Lu Zhang, Fan Jiang, Limin Huang, Dina Silva et autres

This study presents a significant wave height correction model using deep learning techniques to enhance long-term wave forecast capabilities. The model utilises buoy measurements to assess the forecasting accuracy of the ECMWF 15-day forecast of significant wave height in the western Atlantic …

cn, pt (code pays fourni par la source)

Improvement of operational wave forecasts in the Western North Atlantic Ocean with a transformer model

Mohammad Hossein Kazeminezhad, Dina Silva, C. Guedes Soares

This study investigates the enhancement of daily significant wave height (SWH) forecasts in the Western North Atlantic by integrating the Global Ensemble Forecast System (GEFS) with a Transformer-based model. The model is designed to enhance GEFS 10-day wave forecasts daily, utilising forecasted …

pt, ir (code pays fourni par la source)

Improving the forecast of wind speed and significant wave height using neural networks and gradient boosting trees

Mariana Ré Henriques, Dina Silva, Ivan Yanchin, Marcos Latas et autres

This research aims to enhance the accuracy of significant wave height (SWH) and wind speed (WSP) predictions over extended forecast lead times. Two forecasts are used as test cases of the methods developed: the European Centre for Medium-Range Weather Forecasts (ECMWF) and …

pt (code pays fourni par la source)

Stranding of a filter-feeding giant: a case report of Whale shark (Rhincodon typus) in the Southwestern Equatorial Atlantic

Lucas Werner, Aline da Costa Bomfim, Ana Bernadete Lima Fragoso, Dina Silva et autres

Abstract The whale shark (Rhincodon typus) is the largest fish in the world and occurs predominantly in tropical and subtropical waters. In Brazil, the species has a wide distribution, but data on its biology and ecology remain scarce. This study reports the …

br (code pays fourni par la source)

Improving the accuracy of significant wave height hindcast data with long short-term memory models

Marcos Latas, Ahmad Ali, Dina Silva, C. Guedes Soares

To determine the capabilities of long short-term memory (LSTM) neural networks to extend the skill of wave forecasts, the ERA5 hindcast database is used as a test case. Data from a buoy located in the North Atlantic Ocean near Portugal continental coast …

On the performance of wave models in coastal areas

T. Gavazzoni, Dina Silva, C. Guedes Soares

The objective of this study is to compare the accuracy in predicting waves in coastal areas of the Wavewatch3 model, which has been used mostly for deep waters, with the SWAN model, which is often used close to the coasts. The wave …

Assessment of the use of scatterometer wind data to force wave models in the North Atlantic Ocean

Dina Silva, Marta Gonçalves, Abderrahim Bentamy, C. Guedes Soares

The present work uses for the first time scatterometer wind fields to force a wave model and compares the accuracy of the resulting wave conditions with the ones obtained when using two different sources of hindcast wind fields forcing the same wave …

pt, fr (code pays fourni par la source)

Validation with satellite data of SWAN model for wave conditions at the Madeira archipelago

Dina Silva, C. Guedes Soares

This work aims to present the sea state conditions around Madeira archipelago, with an emphasis on the three areas selected under the ARCWIND project, with a hindcast system of 5 years (2012-2016). The WAVEWATCH III (WWIII) model was used to provide the …

Assessment of the wave power resource at Madeira archipelago with the SWAN model

Dina Silva, C. Guedes Soares

The wave energy resource around Madeira archipelago is presented, focusing on three areas where floating wind energy turbines can be installed. The assessment is done using a 5 years (2012-2016) hindcast data, from a wave prediction system with WAVEWATCH III and SWAN …

Economic feasibility of floating offshore wind farms in Portugal

Laura Castro‐Santos, Dina Silva, A. Rute Bento, N. Salvação et autres

es, pt (code pays fourni par la source)

Economic Feasibility of Floating Offshore Wind Farms in the North of Spain

Laura Castro‐Santos, A. Rute Bento, Dina Silva, N. Salvação et autres

This paper assesses the economic feasibility of offshore wind farms installed in deep waters considering their internal rate of return (IRR), net present value (NPV), and levelized cost of energy (LCOE). The method proposed has three phases: geographic phase, economic phase, and …

es, pt (code pays fourni par la source)

Economic Feasibility of Wave Energy Farms in Portugal

Laura Castro‐Santos, Dina Silva, A. Rute Bento, N. Salvação et autres

This paper develops a methodology to determine the economic feasibility of implementing offshore wave energy farms on the Portuguese continental coast. This methodology follows several phases: the geographic phase, the energy phase, the economic phase, and the restrictions phase. First, in the …

es, pt (code pays fourni par la source)