Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years

1 Introduction The data archive provides the reconstructed dataset capturing the annual runoff across Europe, partitioned into a grid format and preserved in NetCDFv4 (.nc) format for enhanced geospatial information. 1.1 Coordinate system and spatial resolution Each grid cell in the dataset corresponds to a 0.5-degree spatial resolution, using the World Geodetic System 1984 (WGS84) as the standard coordinate frame. 1.2 Temporal resolution The data encapsulates a yearly temporal resolution, offering a comprehensive outlook from 1500 to 1999. For example data for 1500 are represented by the layer 01/01/1500. 1.3 Units Runoff measurements are quantified in millimeters per year (mm/year), providing hydrological data throughout the noted time frame. 1.4 Example library(terra) library(raster) > dt_cc<-rast("HEMMF_ERUN_1500_1999.nc") > dt_cc class : SpatRaster dimensions : 70, 104, 500 (nrow, ncol, nlyr) resolution : 0.5, 0.5 (x, y) extent : -12, 40, 35, 70 (xmin, xmax, ymin, ymax) coord. ref. : lon/lat WGS 84 (EPSG:4326) source : HEMMF_ERUN_1500_1999.nc varname : runoff names : runoff_1, runoff_2, runoff_3, runoff_4, runoff_5, runoff_6, ... unit : mm/year, mm/year, mm/year, mm/year, mm/year, mm/year, ... time (days) : 1500-01-01 to 1999-01-01 1.5 Citation The specific data file, named ’HEMMF ERUN 1500 1998.nc,’ is conveniently structured to facilitate easy handling and interpretation of the information. Please ensure to attribute the correct citation when utilizing this dataset, adhering to the subsequent reference: [Singh et al., 2023] References Ujjwal Singh, Petr Maca, Martin Hanel, Yannis Markonis, Rama Rao Nidamanuri, Sadaf Nasreen, Johanna Ruth Bl¨ocher, Filip Strnad, Jiri Vorel, Lubomir Riha, and Akhilesh Singh Raghubanshi. Hybrid multi-model ensemble learning for reconstructing gridded runoff of europe for 500 years. Information Fusion, 97:101807, 2023. ISSN 1566-2535. doi: https://doi.org/10.1016/j.inffus. 2023.101807. URL https://www.sciencedirect.com/science/article/pii/S1566253523001161#d1e5346.This work was partially funded by the Czech Science Foundation (grant no. 23-08056S). Y. Markonis, and J. R. Blocher were funded by Czech Science Foundation (ITHACA: Investigation of Terrestrial HydrologicAl Cycle Acceleration - Grant 22-33266M). This study was also partially funded by the Internal Grant Agency of the Faculty of Environmental Sciences of Czech University of Life Sciences (grant no. 2020B0014, 2021B0021, 2022B0018 and 2023B0032 to Corresponding author: Ujjwal Singh)