Comparison of wave and current measurements to NORA10 and NoNoCur hindcast data in the northern North Sea

Bruserud, Kjersti; Haver, Sverre

doi:10.1007/s10236-016-0953-z

Cited by 22 publications

(11 citation statements)

References 11 publications

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“…According to Aarnes et al (2012), a low bias of significant wave height between NORA10 and observations located in the North Sea and the Norwegian Sea is observed. Bruserud and Haver (2016) found a good agreement between NORA10 and wave observations in the northern part of North Sea. Based on its good performance in open sea conditions, NORA10 is believed to provide reliable boundary data for the coastal wave model.…”

Section: Boundary Spectrasupporting

confidence: 65%

The importance of wind forcing in fjord wave modelling

et al. 2019

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Accurate predictions of surface ocean waves in coastal areas are important for a number of marine activities. In complex coastlines with islands and fjords, the quality of wind forcing significantly affects the results. We investigate the role of wind forcing on wave conditions in a fjord system partly exposed to open sea. For this reason, we implemented the wave model SWAN at the west coast of Norway using four different wind forcing. Wind and wave estimates were compared with observations from five measurement sites. The best results in terms of significant wave height are found at the sites exposed to offshore conditions using a wind input that is biased slightly high compared with the buoy observations. Positively biased wind input, on the other hand, leads to significant overestimation of significant wave height in more sheltered locations. The model also shows a poorer performance for mean wave period in these locations. Statistical results are supported by two case studies which also illustrate the effect of high spatial resolution in wind forcing. Detailed wind forcing is necessary in order to obtain a realistic wind field in complex fjord terrain, but wind channelling and lee effects may have unpredictable effects on the wave simulations. Pure wave propagation (no wind forcing) is not able to reproduce the highest significant wave height in any of the locations.

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Section: Boundary Spectrasupporting

confidence: 65%

The importance of wind forcing in fjord wave modelling

et al. 2019

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“…Waves are generated using a different version of the WAM used in this study for simulating the wave climate and ran on a rotated longitude/latitude grid, which consists of a coarse 50-km resolution model forced by the ERA-40 wind fields and a nested 10 km resolution model forced by the High Resolution Limited Area Model (HIRLAM; [42]) winds. The NORA-h outputs are representative of hourly averaged data and are available every 3 h [43].…”

Section: Wave Hindcastsmentioning

confidence: 99%

Wave Climate Change in the North Sea and Baltic Sea

Bonaduce

Staneva

Behrens

et al. 2019

JMSE

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Wave climate change by the end of the 21st century (2075–2100) was investigated using a regional wave climate projection under the RCP 8.5 scenario. The performance of the historical run (1980–2005) in representing the present wave climate was assessed when compared with in situ (e.g., GTS) and remote sensing (i.e., Jason-1) observations and wave hindcasts (e.g., ERA5-hindcast). Compared with significant wave height observations in different subdomains, errors on the order of 20–30% were observed. A Principal Component (PC) analysis showed that the temporal leading modes obtained from in situ data were well correlated (0.9) with those from the historical run. Despite systematic differences (10%), the general features of the present wave climate were captured by the historical run. In the future climate projection, with respect to the historical run, similar wave climate change patterns were observed when considering both the mean and severe wave conditions, which were generally larger during summer. The range of variation in the projected extremes (±10%) was consistent with those observed in previous studies both at the global and regional spatial scales. The most interesting feature was the projected increase in extreme wind speed, surface Stokes drift speed and significant wave height in the Northeast Atlantic. On the other hand, a decrease was observed in the North Sea and the southern part of the Baltic Sea basin, while increased extreme values occurred in the Gulf of Bothnia during winter.

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“…This current hindcast incorporates the latest advancements in both model physics and computational efforts and as such represents the state-of-the-art when compared to alternative current hindcast databases. Compared to available measured current data in the northern North Sea, the new current hindcast shows a good correspondence (Bruserud and Haver 2016). The quality of the current hindcast is not as good as the quality of available wind and wave hindcast for the northern North Sea/NCS and must be used with some caution.…”

Section: Introductionmentioning

confidence: 83%

“…At the NCS, the Norwegian Reanalysis Archive (NORA10) hindcast comprise high-quality wind and wave data (Bruserud and Haver 2016). The NORA10 hindcast is a regional hindcast for the northeast Atlantic, including the North Sea, the Norwegian Sea and the Barents Sea, developed by the Norwegian Meteorological Institute (Aarnes et al 2012;Reistad et al 2011).…”

Section: Applicationmentioning

confidence: 99%

Simulated wind-generated inertial oscillations compared to current measurements in the northern North Sea

2018

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Measured current speed data show that episodes of wind-generated inertial oscillations dominate the current conditions in parts of the northern North Sea. In order to acquire current data of sufficient duration for robust estimation of joint metocean design conditions, such as wind, waves and currents, a simple model for episodes of wind-generated inertial oscillations is adapted for the northern North Sea. The model is validated with and compared against measured current data at one location in the northern North Sea and found to reproduce the measured maximum current speed in each episode with considerably accuracy. The comparison is further improved when a small general background current is added to the simulated maximum current speeds. Extreme values of measured and simulated current speed are estimated and found to compare well. To assess the robustness of the model and also the sensitivity of current conditions from location to location, the validated model is applied at three other locations in the northern North Sea. In general, the simulated maximum current speeds are smaller than the measured, suggesting that wind-generated inertial oscillations are not as prominent at these locations and that other current conditions may be governing. Further analysis of the simulated current speed and joint distribution of wind, waves and currents for design of offshore structures will be presented in a separate paper. Powered by Editorial Manager® and ProduXion Manager® from Aries Systems Corporation Manuscript Number ODYN-D-17-00019: Simulated wind-generated inertial oscillations compared to current measurements in the northern North Sea Authors' comments to review Please note that the comments from both reviewers have been arranged by section of the paper for a better overview. Comment Authors response Reviewer 1 The changes made by the Authors in the manuscript and the response to the comments are satisfactory for me. No response required. Reviewer 2 The review does not cover properly all of the questions that were raised previously. 1. I still think this is an oversimplified model approach especially for the task that it tries to accomplish.

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Comparison of wave and current measurements to NORA10 and NoNoCur hindcast data in the northern North Sea

Cited by 22 publications

References 11 publications

The importance of wind forcing in fjord wave modelling

The importance of wind forcing in fjord wave modelling

Wave Climate Change in the North Sea and Baltic Sea

Simulated wind-generated inertial oscillations compared to current measurements in the northern North Sea

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