The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/16843183

Marcinkowski, Paweł; I. (Ignacy) Kardel; Płaczkowska, Eliza; Giełczewski, Marek; Paweł Osuch et. al. (2021): PL-SWAT-51_20: a high-resolution simulated water balance and streamflow data set for 1951-2020 for the territory of Poland. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16843183.v1

Dataset

• Land and Water Management
• Other Environmental Sciences
• Physical Geography and Environmental Geoscience
• Environmental Engineering
• Atmospheric Sciences
• Climate and Climate Change

climate, evapotranspiration, hydrological modelling, model calibration, precipitation, river flow, snow, soil moisture, streamflow, SWAT, Water balance, water management, water resources

1/1/1951-12/31/2020

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Paweł Marcinkowski , I. (Ignacy) Kardel , Eliza Płaczkowska , Marek Giełczewski , Paweł Osuch , Tomasz Okruszko , Nelson Venegas-Cordero , stefan ignar , Mikołaj Piniewski

The PL+ SWAT model hydrology dataset was derived for years 1951-2020 at sub-basin and reach level, with a daily time step. It includes model outputs for 4381 subbasins and river reaches covering the Poland territory and parts of the neighbouring countries from which water drains to Poland. At sub-basin level, the dataset contains average daily water balance components including precipitation total, snowfall, snowmelt, evapotranspiration (actual and potential), surface runoff, percolation, groundwater recharge, groundwater flow, tile flow and water yield (all components in mm/day) and soil water (mm) were included. At reach level it includes average daily streamflow values (m³/s).
The applied model was extensively calibrated and validated following a two-stage, multi-site calibration approach for 88 gauging stations across Poland for the period 2000-2019. The simulations showed satisfactory performance with a median Kling-Gupta efficiency of 0.73 and 0.69 in the calibration and validation period, respectively.

• 2021-10-29 first online, published, posted

4TU.ResearchData

NetCDF

• https://data.4tu.nl/articles/dataset/G2DC-PL_A_gridded_2_km_daily_climate_dataset_for_the_union_of_Polish_territory_and_the_Vistula_and_Odra_basins/12764888

Warsaw University of Life Sciences (SGGW)