J. Sievers, P. Milbradt, R. Ihde, Jennifer Valerius, R. Hagen, A. Plüß
{"title":"An Integrated Marine Data Collection for the German Bight –\nPart I: Subaqueous Geomorphology and Surface Sedimentology","authors":"J. Sievers, P. Milbradt, R. Ihde, Jennifer Valerius, R. Hagen, A. Plüß","doi":"10.5194/ESSD-2021-47","DOIUrl":null,"url":null,"abstract":"Abstract. The German Bight located within the central North Sea is a hydro- and morphodynamically highly complex system of estuaries, barrier islands and part of the world’s largest coherent tidal flats, the Wadden Sea. To identify and understand challenges faced by coastal stakeholders, such as harbor operators or governmental agencies, to maintain waterways and employ numerical models for further analyses, it is imperative to have a consistent data base for both bathymetry and surface sedimentology. Current commercial and public data products are insufficient in spatial and temporal 15 resolution and coverage for recent analyses methods. Thus, this first part of a two-part publication series of the German joint project EasyGSH-DB describes annual bathymetric digital terrain models in a 10 m gridded resolution for the German North Sea coast and German Bight from 1996 to 2016 (Sievers et al., 2020a, https://doi.org/10.48437/02.2020.K2.7000.0001 ), as well as surface sedimentological models of discretized cumulative grain size distribution functions for 1996, 2006 and 2016 on 100 m grids (Sievers et al., 2020b, https://doi.org/10.48437/02.2020.K2.7000.0005 ). Furthermore, basic morphodynamic and sedimentological 20 processing analyses, such as the estimation of e.g. bathymetric stability or surface maps of sedimentological parameters, are provided (Sievers et al., 2020a, 2020b, see respective download links).","PeriodicalId":326085,"journal":{"name":"Earth System Science Data Discussions","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth System Science Data Discussions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/ESSD-2021-47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Abstract. The German Bight located within the central North Sea is a hydro- and morphodynamically highly complex system of estuaries, barrier islands and part of the world’s largest coherent tidal flats, the Wadden Sea. To identify and understand challenges faced by coastal stakeholders, such as harbor operators or governmental agencies, to maintain waterways and employ numerical models for further analyses, it is imperative to have a consistent data base for both bathymetry and surface sedimentology. Current commercial and public data products are insufficient in spatial and temporal 15 resolution and coverage for recent analyses methods. Thus, this first part of a two-part publication series of the German joint project EasyGSH-DB describes annual bathymetric digital terrain models in a 10 m gridded resolution for the German North Sea coast and German Bight from 1996 to 2016 (Sievers et al., 2020a, https://doi.org/10.48437/02.2020.K2.7000.0001 ), as well as surface sedimentological models of discretized cumulative grain size distribution functions for 1996, 2006 and 2016 on 100 m grids (Sievers et al., 2020b, https://doi.org/10.48437/02.2020.K2.7000.0005 ). Furthermore, basic morphodynamic and sedimentological 20 processing analyses, such as the estimation of e.g. bathymetric stability or surface maps of sedimentological parameters, are provided (Sievers et al., 2020a, 2020b, see respective download links).
摘要德国湾位于北海中部,是一个由河口、堰洲岛和世界上最大的潮汐滩涂瓦登海组成的水文和地貌高度复杂的系统。为了识别和理解沿海利益相关者(如港口运营商或政府机构)所面临的挑战,以维护水道并采用数值模型进行进一步分析,必须建立一个统一的水深测量和表面沉积学数据库。目前的商业和公共数据产品在空间和时间分辨率和覆盖范围方面对最近的分析方法不足。因此,第一部分由两部分组成的系列出版的德国合作项目EasyGSH-DB描述年度在10米水深数字地形模型的网格分辨率与德国北部海岸和德国湾从1996年到2016年(西弗斯et al ., 2020, https://doi.org/10.48437/02.2020.K2.7000.0001),以及表面的沉积学的模型离散累积粒度分布函数为1996,2006年和2016年对100网格(西弗斯et al ., 2020 b,https://doi.org/10.48437/02.2020.K2.7000.0005)。此外,还提供了基本的形态动力学和沉积学处理分析,例如水深稳定性的估计或沉积学参数的地表图(Sievers等人,2020a, 2020b,参见各自的下载链接)。