PM
P. Maya
info
Please Note
<p>This page displays the records of the person named above and is not linked to a unique person identifier. This record may need to be merged to a profile.</p>
2 records found
1
Stability and Comparability of European wind–wave Climate Regimes for Offshore Renewable Energy
Historical Assessment and Near-Term Projection
In planning offshore renewable energy systems—such as offshore wind farms, wave energy devices, or hybrid installations—engineers and policymakers intervene in marine environments governed by coupled wind and wave processes. These processes respond to atmospheric forcing on short time scales (days, seasons) as well as on longer climate time scales (years, decades). For instance, a change in large-scale atmospheric circulation can immediately alter regional wind fields, which in turn modifies wave generation and propagation. Over longer periods, such changes can reorganise spatial patterns of wind–wave variability and affect the persistence and stability of offshore energy resources. The success of climate-informed offshore development therefore depends, at least partially, on our ability to predict how coupled wind–wave systems respond to changes in atmospheric forcing. We essentially aim to answer questions such as: how stable are wind–wave conditions across seasons and years? Which patterns persist, and which reorganise under climate variability? How reliably can climate models represent the wind–wave regimes that underpin offshore wind, wave, and hybrid energy potential, and how may these regimes reorganise under near-term climate forcing in the coming decades? ....
...
In planning offshore renewable energy systems—such as offshore wind farms, wave energy devices, or hybrid installations—engineers and policymakers intervene in marine environments governed by coupled wind and wave processes. These processes respond to atmospheric forcing on short time scales (days, seasons) as well as on longer climate time scales (years, decades). For instance, a change in large-scale atmospheric circulation can immediately alter regional wind fields, which in turn modifies wave generation and propagation. Over longer periods, such changes can reorganise spatial patterns of wind–wave variability and affect the persistence and stability of offshore energy resources. The success of climate-informed offshore development therefore depends, at least partially, on our ability to predict how coupled wind–wave systems respond to changes in atmospheric forcing. We essentially aim to answer questions such as: how stable are wind–wave conditions across seasons and years? Which patterns persist, and which reorganise under climate variability? How reliably can climate models represent the wind–wave regimes that underpin offshore wind, wave, and hybrid energy potential, and how may these regimes reorganise under near-term climate forcing in the coming decades? ....
Climate change is expected to have an impact on wind patterns, and therefore the generation of waves. Phase 6 of the Coupled Model Intercomparison Project (CMIP6), provides various realization of outputs integrated global coupled models for different centuries. Wind quality is a cornerstone for wave energy as it is the primary generation driver in any wave model. Therefore, proper quantification of wind wave interactions are key in the evaluation of future wave energy potential. In this study, a wave hindcast for the North-East Atlantic, using the WaveWatchIII model forced by CMIP6 winds is presented. The model uses a grid of 0.25° of spatial resolution, covering a longitude range of -21.0° to 10° (west to east) and a latitude range of 18° to 80° (south to north).
The main objective of this work is to assess the quality of historical winds from all the CMIP6 wind data that are available under the first realization criteria (r1i1p1f1) at the time of this study. This leads to understanding limitations and proposing a selection method to choose the optimal wind dataset to force the wave model within the analyzed area.
Thus, the optimal CMIP6 historical winds for the North-East Atlantic are used to create a 10 years hindcast(from 2003 to 2012). To further assess the suitability of the selected winds dataset for wave generation, results are compared with the ERA5 wave product. The available CMIP6 models show region-specific variations depending on the Regional Climate models used for their developments. The results show the impact of zonal and, meridional wind intensities, on wave characteristics in different regions over the domain. ...
The main objective of this work is to assess the quality of historical winds from all the CMIP6 wind data that are available under the first realization criteria (r1i1p1f1) at the time of this study. This leads to understanding limitations and proposing a selection method to choose the optimal wind dataset to force the wave model within the analyzed area.
Thus, the optimal CMIP6 historical winds for the North-East Atlantic are used to create a 10 years hindcast(from 2003 to 2012). To further assess the suitability of the selected winds dataset for wave generation, results are compared with the ERA5 wave product. The available CMIP6 models show region-specific variations depending on the Regional Climate models used for their developments. The results show the impact of zonal and, meridional wind intensities, on wave characteristics in different regions over the domain. ...
Climate change is expected to have an impact on wind patterns, and therefore the generation of waves. Phase 6 of the Coupled Model Intercomparison Project (CMIP6), provides various realization of outputs integrated global coupled models for different centuries. Wind quality is a cornerstone for wave energy as it is the primary generation driver in any wave model. Therefore, proper quantification of wind wave interactions are key in the evaluation of future wave energy potential. In this study, a wave hindcast for the North-East Atlantic, using the WaveWatchIII model forced by CMIP6 winds is presented. The model uses a grid of 0.25° of spatial resolution, covering a longitude range of -21.0° to 10° (west to east) and a latitude range of 18° to 80° (south to north).
The main objective of this work is to assess the quality of historical winds from all the CMIP6 wind data that are available under the first realization criteria (r1i1p1f1) at the time of this study. This leads to understanding limitations and proposing a selection method to choose the optimal wind dataset to force the wave model within the analyzed area.
Thus, the optimal CMIP6 historical winds for the North-East Atlantic are used to create a 10 years hindcast(from 2003 to 2012). To further assess the suitability of the selected winds dataset for wave generation, results are compared with the ERA5 wave product. The available CMIP6 models show region-specific variations depending on the Regional Climate models used for their developments. The results show the impact of zonal and, meridional wind intensities, on wave characteristics in different regions over the domain.
The main objective of this work is to assess the quality of historical winds from all the CMIP6 wind data that are available under the first realization criteria (r1i1p1f1) at the time of this study. This leads to understanding limitations and proposing a selection method to choose the optimal wind dataset to force the wave model within the analyzed area.
Thus, the optimal CMIP6 historical winds for the North-East Atlantic are used to create a 10 years hindcast(from 2003 to 2012). To further assess the suitability of the selected winds dataset for wave generation, results are compared with the ERA5 wave product. The available CMIP6 models show region-specific variations depending on the Regional Climate models used for their developments. The results show the impact of zonal and, meridional wind intensities, on wave characteristics in different regions over the domain.