Published June 29, 2023 | Version v1

Raw and pre-processed dataset

Authors/Creators

Description

Hybrid streamflow modelling using machine learning and multi-model combination

Global Hydrological model outputs that have been retrieved from eartH2Observer Water Cycle Integrator (WCI) data portal. The data preprocessed in an effort to improve streamflow forecasts. It incorporates the outputs of three GHM (WaterGAP3, PCR-GLOBWB, and LISFLOOD), which are driven by the daily 0.5° WATCH Forcing. Data ERA-Interim (WFDEI) meteorological dataset. With a monthly temporal resolution, this dataset spans from 1979 to 2012. The GitHub repository contains comprehensive pre-processing instructions.

Files

raw_data.zip

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