Regionalized time series for 2020-2100 with a day resolution based on differentcombinations of 4climate RCP (Representative Concentration Pathways)and 4 Shared Social-economic Pathways (SSP) scenarios for the Oudlandpolder region in Belgium. This coastal lowland (polder) faces challenges related to climate adaptation and mitigation to be addressed by, amongst others, a proper balance of water distribution for the two main land use categories: agriculture and nature.The following variables are included: land use cover (agriculture and nature) in ha related to SSP crop fractions for 13 crops related to SSP crop factors Kc (dimensionless) precipitation in mm/day related to RCP potential evapotranspiration in mm/day related to RCP sea level in mm wrt January 1, 2020 related to RCP Waste Water Treatment Plant (WWTP) effluence ratio wrt to 2020 RCP scenarios: RCP 2.6; RCP 4.5; RCP 6.0; RCP 8.5 SSP scenarios: SSP1; SSP2; SSP4; SSP5. These SSP scenarios are based on consistent projections for land use change (agriculture vs nature) and crop schemes. Land use cover change was modelled with the VITO spatial-dynamic RuimteModel (see references below). Uncertainty in the RCP scenarios has been addressed by working with an ensemble of the following 8 climate models: BNU-ESM CSIRO-Mk3-6-0 GFDL-ESM2G GFDL-ESM2M IPSL-CM5A-MR MPI-ESM-LR MPI-ESM-MR NorESM1-M The scenarios point at potentialseasonal water shortages for certain combinations of RCP and SSP scenarios, in particular during the dry summer season. Climate adaptation actions can also benefit to a limited extent from identifying the climate robust crop schemes. For further information see: https://h2020-coastal.eu https://h2020-coastal.eu/publications/flipbook/171 https://www.vlm.be/nl/projecten/Paginas/Oudlandpolder.aspx https://vito.be/en/spatial-model-flanders-ruimtemodel-vlaanderen