Abstract:We present ice-free and ice-included statistics for the Baltic Sea using a wave hindcast validated against data from 13 wave measurement sites. In the hindcast 84% of wave events with a significant wave height over 7 m occurred between November and January. The effect of the ice cover is largest in the Bay of Bothnia, where the mean significant wave height is reduced by 30% when the ice time is included in the statistics. The difference between these two statistics are less than 0.05 m below a latitude of 59.5… Show more
“…Based on the annual, winter, and summer averages of the wind speed, the linear trends for the most representative points (one for each location) are presented in Table 3. At this point, it has to be highlighted that the linear trend values presented in this table are in line with those computed by other authors, as for example [34][35][36][37][38][39]. The data computed show slight increasing trends (ranging from 0.03-0.14 m/s per decade) for the reference points C4, A3, E3, B1, and D3, or decreasing trends for the points F1, J2, H2, I1, and G1 (ranging from −0.07-−0.01 m/s per decade).…”
Section: Wind Speed Analysissupporting
confidence: 89%
“…Along the coasts of the Black Sea, the synergy between wind and wave power was analyzed and interesting results presented in [37,38]. Finally, the results of a 41-year hindcast in the Baltic Sea were presented in [39].…”
The objective of this work is to analyze the wind and wave conditions along the coasts of the European seas. The emphasis is put on the mean and maximum values. The areas studied are characterized by intense maritime activities, including traffic, as well as various harbor and offshore operations. In the present study, 35 years of data coming from the European Centre for Medium-Range Weather Forecasts (ECMWF) were processed, corresponding to 40 different geographical locations. Thus, these 40 reference points are defined for some of the most relevant offshore locations in the coastal environments targeted. As regards the data considered in the analysis, two different sets were used. The first corresponds to the wave model, while the second to the atmospheric model, both operated by ECMWF. Finally, it can be concluded that the proposed work provides a global perspective related to the average and maximum wind and wave conditions and to a further extent on the climate dynamics along the coasts of the European seas.
“…Based on the annual, winter, and summer averages of the wind speed, the linear trends for the most representative points (one for each location) are presented in Table 3. At this point, it has to be highlighted that the linear trend values presented in this table are in line with those computed by other authors, as for example [34][35][36][37][38][39]. The data computed show slight increasing trends (ranging from 0.03-0.14 m/s per decade) for the reference points C4, A3, E3, B1, and D3, or decreasing trends for the points F1, J2, H2, I1, and G1 (ranging from −0.07-−0.01 m/s per decade).…”
Section: Wind Speed Analysissupporting
confidence: 89%
“…Along the coasts of the Black Sea, the synergy between wind and wave power was analyzed and interesting results presented in [37,38]. Finally, the results of a 41-year hindcast in the Baltic Sea were presented in [39].…”
The objective of this work is to analyze the wind and wave conditions along the coasts of the European seas. The emphasis is put on the mean and maximum values. The areas studied are characterized by intense maritime activities, including traffic, as well as various harbor and offshore operations. In the present study, 35 years of data coming from the European Centre for Medium-Range Weather Forecasts (ECMWF) were processed, corresponding to 40 different geographical locations. Thus, these 40 reference points are defined for some of the most relevant offshore locations in the coastal environments targeted. As regards the data considered in the analysis, two different sets were used. The first corresponds to the wave model, while the second to the atmospheric model, both operated by ECMWF. Finally, it can be concluded that the proposed work provides a global perspective related to the average and maximum wind and wave conditions and to a further extent on the climate dynamics along the coasts of the European seas.
“…For the semi-enclosed micro-tidal Baltic Sea with the absence of long swell waves and short wave "memory" [17], and the significant wave heights remaining mostly between 0 and 2 m (rarely exceeds 4 m [18,19]), the second type of mentioned methods is recommended [13,20,21]. Windsea waves are short-crested and represent a considerable number of small, nonstable, fast, and erratically moving targets for a SAR sensor.…”
Section: Meteo-marine Parameters In the Baltic Sea In Relation To Synmentioning
confidence: 99%
“…Although Södra Östersjön station (55.9167 • N, 18.7833 • E) is included into BOOS measurement stations, the last unrestricted access measurement data was received in 2011. However, Southern Baltic Sea is a location where the highest waves occur [18,19]. As no in situ measurements are carried out in the region, the SAR-derived results would be highly valuable for model validation and/or assimilation into the wave model.…”
Section: Benefits Of Sentinel-1a/b Iw Wave Field Data For Operationalmentioning
Abstract:A method for estimating meteo-marine parameters from satellite Synthetic Aperture Radar (SAR) data, intended for near-real-time (NRT) service over the Baltic Sea, is presented and validated. Total significant wave height data are retrieved with an empirical function CWAVE_S1-IW, which combines spectral analysis of Sentinel-1A/B Interferometric Wide swath (IW) subscenes with wind data derived with common C-Band Geophysical Model Functions (GMFs). In total, 15 Sentinel-1A/B scenes (116 acquisitions) over the Baltic Sea were processed for comparison with off-shore sea state measurements (52 collocations) and coastal wind measurements (357 colocations). Sentinel-1 wave height was spatially compared with WAM wave model results (Copernicus Marine Environment Monitoring Service (CMEMS). The comparison of SAR-derived wave heights shows good agreement with measured wave heights correlation r of 0.88 and with WAM model (r = 0.85). The wind speed estimated from SAR images yields good agreement with in situ data (r = 0.91). The study demonstrates that the wave retrievals from Sentinel-1 IW data provide valuable information for operational and statistical monitoring of wave conditions in the Baltic Sea. The data is valuable for model validation and interpretation in regions where, and during periods when, in situ measurements are missing. The Sentinel-1 A/B wave retrievals provide more detailed information about spatial variability of the wave field in the coastal zone compared to in situ measurements, altimetry wave products and model forecast. Thus, SAR data enables estimation of storm locations and areal coverage. Methods shown in the study are implemented in NRT service in German Aerospace Center's (DLR) ground station Neustrelitz.
“…The Baltic Sea is a relatively large semi-enclosed sea, and the wave conditions for this basin have been extensively studied in earlier work using measurements (e.g., [26][27][28]) and modeling (e.g., [29][30][31]), describing also the seasonal dependence (e.g., [30,32]). Some studies of extreme conditions have also been carried out [33], and recently through high-resolution modeling over a long time period of 52 years, the work in [31] studied high percentile significant wave height results.…”
Here, accessibility to near-shore and offshore marine sites is evaluated based on wave and ice conditions. High-resolution third-generation wave model results are used to examine the operation and maintenance conditions for renewable energy sources with a focus on wave energy. Special focus is given to the wave field and ice characteristics for areas within the Swedish Exclusive Economic Zone including analysis of return levels for extreme values for significant wave height, which provides guidance for dimensioning wave energy converters. It is shown that the number of weather windows and accessibility are influenced by distance from the coast and sea-ice conditions. The longest waiting periods for the closest weather window that is available for Operation and Maintenance (O&M) is in ice-free conditions shown to be strongly correlated with the fetch conditions. The sheltered Baltic Sea is shown to have very high accessibility if marine infrastructure and vessels are designed for access limits of significant wave height up to 3 m. In the northern basins, the waiting periods increase significantly, if and when the ice-conditions are found to be critical for the O&M activity considered. The ice-conditions are examined based on compiled operational sea-ice data over a climatic time period of 34 years. The results are location specific for the Swedish Exclusive Economic Zone, but the analysis methods are transferable and applicable to many other parts of the world, to facilitate assessment of the most promising areas in different regions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.