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This aim of this dataset is to represent water stress in the Black Sea catchment circa 2011. Water stress is calculated according to the Water Stress Index (WSI) corresponding to the quotient of total withdrawals by surface water availability, both in m3 yr-1. The scale of this index is as follow: <0.1 = No stress; 0.1 to 0.2 = Low; 0.2 to 0.4 = Moderate; 0.4 to 0.8 = High; >0.8 = Very high. Several building blocks used to assess water stress are also made available as geospatial layers in this dataset.

This map provides an overview of the potential impact of climate change on agriculture over 12982 subcatchments. It is measured in the change of annual plant growth days. Green indicates an increase of plant growth days due to fewer days of water stress and/or fewer days of temperature stress (positive potential impact). Red indicates a decrease of plant growth days due to more days of water stress and/or temperature stress (negative potential impact). The potential impact is very heterogeneous across the Black Sea catchment. The adaptive irrigation capacity and the total agriculture vulnerability is also made available in this dataset.

This dataset consists of estimated values for the monthly averages of maximum and minimum temperatures, as well as precipitation for the time period between 1961 and 1990, interpolated with the integrated nested Laplace approximations. It provides the estimated values for the daily observations of maximum temperature for the HB1 and HS1 scenarios between 2070 and 2100, obtained through the Delta method.

Maximum beach retreat (in percentage of the maximum beach width) predicted by the model ensemble for the Black Sea beaches under a 0.5 m SLR (coastal retreat estimated to 21.4 m.).

UN projection variants for population (Table 3), downscaled from national to regional level (NUTS2). Results include urban and total population trends over the period 2010-2050 for the 214 Black sea regions, consistent with BS HOT, BS ALONE, BS COOP and BS COOL scenarios.