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: 10.4121/17259449

Samuel Sutanto (2021): Data used in the paper: Catchment memory explains hydrological drought forecast performance. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/17259449.v1

Dataset

• Other Environmental Sciences
• Physical Geography and Environmental Geoscience

catchment memory, Drought, forecasting, groundwater, streamflow

Monthly from January 2002 to December 2016 for reforecast and from January 1990 to December 2019 for SFO

CC BY 4.0

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

by Samuel Sutanto

Here I provide the SSI-1 and SSI-3 derived using the SFO data from 1990 to 2019. The groundwater properties data is also provided. The streamflow drought forecasts derived using SSI-1 and SSI-3 for European rivers with a lead time of 7-month from 2002 to 2016 can be obtained from the author because the data exceed the limit.

• 2021-12-27 first online, published, posted

4TU.ResearchData

NetCDF

Catchment memory explains hydrological drought forecast performance

• EU’s Horizon 2020 research and innovation program

Hydrology and Quantitative Water Management, Wageningen University & Research