Abstract. Marine spatial planning requires reliable data for, e.g., the design of coastal structures, research, or sea level rise adaptation. This task is particularly ambiguous in the German Bight (North Sea, Europe) because a compromise must be found between economic interests and biodiversity since the environmental status is monitored closely by the European Union. For this reason, we have set up an open-access, integrated marine data collection for the period from 1996 to 2015. It provides bathymetry, surface sediments, tidal dynamics, salinity, and waves for the German Bight and is of interest to stakeholders in science, government, and the economy. This part of a two-part publication presents data from numerical hindcast simulations for sea surface elevation, depth-averaged current velocity, bottom shear stress, depth-averaged salinity, wave parameters, and wave spectra. As an improvement to existing data collections, our data represent the variability in the bathymetry by using annually updated model topographies. Moreover, we provide data at a high temporal and spatial resolution (Hagen et al., 2020b); i.e., numerical model results are gridded to 1000 m at 20 min intervals (https://doi.org/10.48437/02.2020.K2.7000.0004). Tidal characteristic values (Hagen et al., 2020a), such as tidal range or ebb current velocity, are computed based on numerical modeling results (https://doi.org/10.48437/02.2020.K2.7000.0003). Therefore, this integrated marine data collection supports the work of coastal stakeholders and scientists, which ranges from developing detailed coastal models to handling complex natural-habitat problems or designing coastal structures.

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).

The scientific assessment of past and future mean sea level (MSL) trends requires reliable predictions of natural cyclic behavior on short and long time scales, with the current rate of sea-level rise (SLR) being estimated at 2 mm/year in the North Sea (Dangendorf et al., 2015). On a global scale, rates around 1.5 mm/ year between 1900 and 2012 are detected (Oppenheimer et al., 2019) as well as recent accelerations of up to 3 mm/year (Dangendorf et al., 2019). Typical cycles concerning sea level are tides, which are a result of the gravitational potential of sun and moon, centrifugal force of the earth and meteorological forcing. Tides are distinguished by their frequency, which is predominantly diurnal or semidiurnal, even though monthly, interannual, annual, and perennial frequencies exist as well. The nodal tide (Bradley, 1728) is a harmonic signal with a period of 18.61 years, caused by the precession of the lunar ascending node (Pugh, 1987). It is the most important low frequency tidal constituent apart from the lunar perigee and has shown to have an amplitude of up to 30 cm (Peng et al., 2019). In order to consider the nodal tide in MSL analysis, the theoretical equilibrium tide concept is applied (Godin, 1986; Proudman, 1960; Woodworth, 2012). Nonresolved low frequency cyclic behavior of water levels may lead to an erroneous estimation of SLR. The influence

Numerous studies have examined whether the primary and/or secondary sex ratio in mammals, including humans, deviates from an equilibrium of 1:1. Although effect size in the sex ratio variation is expected to be low, a large sample size allows the identification of even small deviations from parity. In this study, we investigated whether the sex ratio of roe deer (Capreolus capreolus) offspring at birth approaches parity, using a large data set from roe deer offspring tagged in Baden‐Württemberg (Germany, 1972–2019, N = 12,437). In addition, a systematic re‐analysis of available data on the secondary sex ratios of roe deer was conducted to test whether our finding withstood the accumulation of further data. The null hypothesis that the sex ratio of roe deer (prenatal sex ratio and sex ratio at birth) approaches parity was rejected. Moreover, the secondary sex ratio of roe deer offspring deviated from the male‐biased mean for relatively cold or warm weather conditions during autumn and winter. Our study provides strong evidence for a male‐biased sex ratio in a large herbivore and weak evidence for variations in the secondary sex ratio owing to environmental conditions. The pattern is highly relevant in the context of climate change and its impact on the population dynamics of large herbivores.

Abstract. The German Bight within the central North Sea is of vital importance to many industrial nations in the European Union (EU), which have obligated themselves to ensure the development of green energy facilities and technology, while improving natural habitats and still being economically competitive. These ambitious goals require a tremendous amount of careful planning and considerations, which depends heavily on data availability. For this reason, we established in close cooperation with stakeholders an open-access integrated, marine data collection from 1996 to 2015 for bathymetry, surface sediments, tidal dynamics, salinity, and waves in the German Bight for science, economy, and governmental interest. This second part of a two-part publication presents data products from numerical hindcast simulations for sea surface elevation, current velocity, bottom shear stress, salinity, wave parameters and wave spectra. As an important improvement to existing data collections our model represents the variability of the bathymetry by using annually updated model topographies. Moreover, we provide model results at a high temporal and spatial resolution (Hagen et al. 2020b), i.e. model results are gridded to 1,000 m at 20-minute intervals (https://doi.org/10.48437/02.2020.K2.7000.0004). Tidal characteristic values (Hagen et al. 2020a), such as tidal range or ebb current velocity, are computed based on the numerical modeling results (https://doi.org/10.48437/02.2020.K2.7000.0003). Therefore, this integrated, marine data collection enables coastal stakeholders and scientists to easily enter and participate in countless applications, which could be the development of detailed coastal models, handling of complex natural habitat problems, design of coastal structures, or trend exploration into the future.