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  • This dataset is the first dedicated SMOS Sea Surface Salinity (SSS) product for the Baltic basin to enhance the science capabilities in the Baltic region and help to fill the gaps and grand challenges identified by the scientific community. These new product has been created under the funded ESA project ITT Baltic+ Salinity dynamics (4000126102/18/I-BG). This basin is one of the most challenging regions for the satellite SSS retrieval. The available EO-based SSS products are quite limited in terms of spatio-temporal coverage and quality. This is mainly due to technical limitations that strongly affect the brightness temperatures (TB), such as the high contamination by interferences and the contamination close to land and ice edges. Moreover, the sensitivity of TB to SSS changes is very low and dielectric models present limitations in this low salinity regime. Baltic+ L4 SSS product comprises 9 years (2011-2019) of daily maps at 0.05 degrees. A detailed explanation of the product algorithms and validation can be found at http://bec.icm.csic.es/doc/BEC_PD_SSS_Baltic_L3_L4.pdf and in the publication: Gonzalez-Gambau et al., “First SMOS Sea Surface Salinity dedicated products over the Baltic Sea“, Earth System Science Data, 2021 We present here the seasonal averaged Baltic+ L4 SSS products for the period 2011-2019. The daily Baltic+ L4 SSS products can be downloaded from the BEC FTP service (sftp://becftp.icm.csic.es) in the directory OCEAN/SSS/SMOS/Baltic/v1.0/L4/daily/

  • The dataset contains total landings of herring for years 2011-2016 reported per ICES statistical rectangles (tonnes / ICES rectangle) under EU Joint Research Centre’s data collection framework for fisheries data. Russian data extracted from ICES annual reports.

  • The fishing intensity map displays data provided in C-square (0.05 x 0.05 degrees) converted to 1x1 km raster 2011-2016. The value of raster cell is subsurface swept area ratio. The data does not cover Russian waters.

  • Regional hunting numbers for Ringed seals 2011-2014.

  • Eutrophication, caused by excess inputs of nutrients, is one of the main threats affecting the Baltic Sea marine environment. Nutrients enter the Baltic Sea as waterborne (riverine inputs from the catchment area and direct discharges from point and diffuse sources in coastal areas) and airborne (atmospheric deposition) inputs. In 2007 HELCOM adopted a nutrient reduction scheme which is based on maximum allowable nutrient inputs (MAI) to reach "good environmental status" and country-wise nutrient reduction targets (CART) to share the burden of reducing nutrient pollution to the sea (HELCOM Baltic Sea Action Plan). Monitoring of nutrient inputs to the sea is important for assessing progress of countries towards their CART and to evaluate the effectiveness of measures to reduce pollution. This dataset displays total normalized annual average phosphorus loading as produced for href="http://www.helcom.fi/baltic-sea-trends/indicators/inputs-of-nutrients-to-the-subbasins" target="_blank"> HELCOM Core indicator: Inputs of nutrients to the subbasins based on HELCOM PLC data. Green colour of PLC subbasin indicates that inputs during 2016 were lower than MAI, red colour when they were higher, while yellow indicates that when taking into account the statistical uncertainty of input data it is not possible to determine whether MAI was fulfilled. The dataset contains following attributes: Basin: Name of PLC Subbasin Maximum allowable nutrient input: Maximum allowable phosphorus input for the subbasin (tons/year) P input including statistical uncertainty 2016: the average normalized phosphorus input during 2016 (tonnes/year) including statistical uncertainty for the subbasin Input 2016 including stat. uncertainty in % of MAI: proportion of average normalized phosphorus input during 2016 compared to MAI Classification of achieving MAI: Classification of achieving MAI is given in colours: green=MAI fulfilled, yellow= fulfilment is not determined due to statistical uncertainty, and red=MAI not fulfilled.

  • The objective of the BALTHAZAR project has been to assess the potential sources of hazardous substances from landfills/dumping sites, to characterise their environmental risks and to develop measures to reduce the risks of run-off of hazardous substances from waste site to the Baltic Sea. More info: http://www.helcom.fi/helcom-at-work/projects/completed-projects/balthazar/hazardous-waste

  • Screening activities for component Hazardous wastes on the Leningrad and Kaliningrad Region territories have been fulfilled within the BALTHAZAR project. The main goal of the Project BALTHAZAR is assistance in protection of the Baltic Sea from pollution through reducing of loading caused by agricultural entities (AE) and hazardous wastes. The component Hazardous wastes is focused on inventory of large landfills and estimation of current regime in hazardous wastes management. The main task of screening was to study impact of large landfills on environment of the Leningrad Oblast and Kaliningrad Oblast and to reveal the landfills causing the main loading on the Baltic Sea with pollutants. Screening results report on Leningrad: http://www.helcom.fi/stc/files/Projects/BALTHAZAR/ScreeningReportForPublication-May2011.pdf Screening results report on Kaliningrad: http://www.helcom.fi/stc/files/Projects/BALTHAZAR/KaliningradScreeningResults-1.pdf

  • Screening activities for component Hazardous wastes on the Leningrad and Kaliningrad Region territories have been fulfilled within the BALTHAZAR project. The main goal of the Project BALTHAZAR is assistance in protection of the Baltic Sea from pollution through reducing of loading caused by agricultural entities (AE) and hazardous wastes. The component Hazardous wastes is focused on inventory of large landfills and estimation of current regime in hazardous wastes management. The main task of screening was to study impact of large landfills on environment of the Leningrad Oblast and Kaliningrad Oblast and to reveal the landfills causing the main loading on the Baltic Sea with pollutants. Screening results report on Leningrad: http://www.helcom.fi/stc/files/Projects/BALTHAZAR/ScreeningReportForPublication-May2011.pdf Screening results report on Kaliningrad: http://www.helcom.fi/stc/files/Projects/BALTHAZAR/KaliningradScreeningResults-1.pdf

  • Regional hunting numbers for Harbour seals 2011-2014.

  • Eutrophication, caused by excess input of nutrients, is one of the main threats affecting the Baltic Sea marine environment. Nutrients enter the Baltic Sea as waterborne (riverine inputs from the catchment area and direct discharges from point and diffuse sources in coastal areas) and airborne (atmospheric deposition) inputs. In 2007 HELCOM adopted a nutrient reduction scheme which is based on maximum allowable nutrient inputs (MAI) to reach "good environmental status" and country-wise nutrient reduction targets (CART) to share the burden of reducing nutrient pollution to the sea (HELCOM Baltic Sea Action Plan). Monitoring of nutrient inputs to the sea is important for assessing progress of countries towards their CART and to evaluate the effectiveness of measures to reduce pollution. This dataset displays nutrient loading as produced for http://www.helcom.fi/baltic-sea-trends/indicators/inputs-of-nutrients-to-the-subbasins HELCOM Core indicator: Inputs of nutrients to the subbasins based on HELCOM PLC data. Green colour of PLC subbasin indicates that inputs during 2016 were lower than MAI, red colour when they were higher, while yellow indicates that when taking into account the statistical uncertainty of input data it is not possible to determine whether MAI was fulfilled. The dataset contains following attributes: Basin: Name of PLC Subbasin Maximum allowable nutrient input: Maximum allowable nitrogen input for the subbasin (tons/year) N input including statistical uncertainty 2016: the average nitrogen input during 2016 including statistical uncertainty (tons/year) N input 2016 including statistical uncertainty in % of MAI: proportion of normalized nitrogen input during 2016 compared to MAI (%) Classification of achieving MAI: Classification of achieving MAI is given in colours: green=MAI fulfilled, yellow= fulfilment is not determined due to statistical uncertainty, and red=MAI not fulfilled.