Calculation of the average annual sediment balance per stretch of coast for the past 10 years.

Fish larvae were collected by the continuous plankton recorder (CPR, operated by SAHFOS) all year long between 1951 and 2005 along transects in the Celtic Sea and English Channel. The CPR is towed by ships of opportunity at speeds of 15 to 20 knots, at an approximate depth of 10 m. Water enters the recorder through an aperture of 1.27 cm2, and is filtered through a continuously moving band of silk with an average mesh size of 270 μm.

This product contains daily salinity fields over Arctic from a 9 days temporal gaussian average, corrected from land-sea contamination and latitudinal bias, based on L2Q over Arctic products, mixing ascending and descending orbits.

Species distribution models (GAM, Maxent and Random Forest ensemble) predicting the distribution of Syringammina fragilissima fields assemblage in the North East Atlantic. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image sample. Modelling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the North East Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.

Monthly time series of Total Nitrogen [mg/l] from model data

The multispectral images of the study area were acquired by drone on 18 September 2025 using the DJI Mavic 3M RTK. The orthomosaic was generated from 5,128 images across five spectral bands (Green, Red, Red Edge, Near-Infrared (NIR), and Alpha), captured at an altitude of 100 meters (2025). The ground resolution achieved was 4.568 cm/pixel, covering a surveyed area of approximately 0.94 km². The Digital Surface Models (DSMs) were resampled to a resolution of 10 cm.

aThis survey action has been undertaken as part of WP6 of the H2020 JERICO-S3 project. Its integration in Sextant is the first step towards a comprehensive and extensive data catalog for the JERICO Research Infrastructure. JERICO-S3, Description of Work - WP6 : Data Management Task 6.2: Data management for coastal platforms (M1-48) (Lead: HCMR) Subtask 6.2.1: Identify and update the overview of JERICO-RI involved platforms and data (SMHI, MARIS, IFREMER) (M1-48) The JERICO dataset catalogue has proven a useful tool for creating an overview of platforms and data relevant for the project this and will be updated. Input from other WP’s will be used to identify the actual JERICO platforms, including the PSS, TNA platforms, and IRS. Partners will collect and describe coastal platforms in the dataset catalogue (technically run in WP7) including pointers to data, which variables (related to EOV’s) published as D6.2. Subtask 6.2.2: Best practice capturing for “mature” platforms with physical and BGC parameters (HCMR, SMHI, CNR, ETT, SOCIB, HZG, RWS) (M6-42). For the following platform types there will be activities supporting data management as defined under T6.4 in close relation to the Virtual Research Environment in WP7: HF radars (CNR), Gliders (SOCIB, ETT), FerryBox (HZG) The work for each platform type will follow basically the same approach and will cooperate with WP4 (PSS) and WP3 (IRS). The experts will identify the existing standards, and possible data management best practices (D6.3). At the end of the project an evaluation will be done of the level of Best Practice adoption at the IRSs and PSSs in the project, as well as the use of the VRE by the partners engaged in WP3 and WP4 (D6.10). This will be done in cooperation with WP3 and WP4, and is an important condition for data to be accessible for use in the Virtual Environment in T7.4.

Daily and monthly surface wind analyses are determined as gridded wind products over global oceans, with regular spatial resolution of 0.25° in latitude and longitude. They are estimated from scatterometer wind retrievals (L2b data). According to the scatterometer sampling scheme, the objective method allowing the determination of regular in space surface wind fields uses remotely sensed observations as well as ECMWF analyses. The calculation of daily estimates uses ascending as well as descending available and valid retrievals. The objective method aims to provide daily-averaged gridded wind speed, zonal component, meridional component, wind stress and the corresponding components at global scale. The error associated to each parameter, related to the sampling impact and wind space and time variability, is provided too. Monthly wind analyses are calculated from daily estimates.