<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Experimental FZJ ParFlow DE06 hydrologic forecasts</dcterms:title><dcterms:identifier>https://doi.org/10.26165/JUELICH-DATA/GROHKP</dcterms:identifier><dcterms:creator>Belleflamme, Alexandre</dcterms:creator><dcterms:creator>Hammoudeh, Suad</dcterms:creator><dcterms:creator>Görgen, Klaus</dcterms:creator><dcterms:creator>Kollet, Stefan</dcterms:creator><dcterms:publisher>Jülich DATA</dcterms:publisher><dcterms:issued>2024-05-14</dcterms:issued><dcterms:modified>2024-05-14T07:20:05Z</dcterms:modified><dcterms:description>The dataset entails experimental ParFlow hydrologic model forecast simulations by BELLEFLAMME, HAMMOUDEH, GOERGEN, and KOLLET. The basic setup and configuration is described in "Belleflamme et al. (2023): Hydrological forecasting at impact scale: the integrated ParFlow hydrological model at 0.6 km for climate resilient water resource management over Germany, Frontiers in Water, https://doi.org/10.3389/frwa.2023.1183642". The open access research dataset contains experimental simulation results and derived diagnostics from ParFlow hydrologic model runs at high spatial resolution (611m) over Germany and surrounds (all European river basins affecting Germany are included) of (i) daily 9-day deterministic forecasts, (ii) two-daily 9-day ensemble forecasts statistics, and (iii) hindcasts from 2011 to 2023, which serve as a climatology and a baseline for anomaly calculation. The data provided contains relevant variables of the terrestrial hydrological cycle, including groundwater-related quantities. The dataset specification has been elaborated based on a co-design approach with stakeholders from various sectors with primary inputs from agriculture.</dcterms:description><dcterms:subject>Earth and Environmental Sciences</dcterms:subject><dcterms:subject>monitoring and forecasting, ParFlow/CLM hydrologic model, high-resolution hydrologic modeling, subsurface water resources, terrestrial water budget, applied information</dcterms:subject><dcterms:isReferencedBy>Belleflamme, A., Goergen, K., Wagner, N., Kollet, S., Bathiany, S., El Zohbi, J., Rechid, D., Vanderborght, J., Vereecken, H. (2023). Hydrological forecasting at impact scale: the integrated ParFlow hydrological model at 0.6 km for climate resilient water resource management over Germany. Frontiers in Water, 5., doi, 10.3389/frwa.2023.1183642, https://doi.org/10.3389/frwa.2023.1183642</dcterms:isReferencedBy><dcterms:contributor>Görgen, Klaus</dcterms:contributor><dcterms:dateSubmitted>2024-05-13</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>