Data used in the paper: Hydrological drought forecasts using precipitation data depend on catchment properties and human activities
Here I provide the SSI-1 derived using the LISFLOOD SFO data from 1991 to 2022. The SPI-x were derived from the ERA5 dataset from 1991-2022. The SGI-1 was derived using the LISFLOOD SFO data from 1990 to 2018. The drought forecasts derived using the Standardized Indices (SSI, SGI, SPI) for European rivers with a lead time of 7-month from 2002 to 2022 can be obtained from the author because the data exceed the limit. Scripts used in the study are provided. Please look at the script readme file.
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Dataset biblioteca |
| Published: |
Wageningen University & Research
|
| Subjects: | drought forecasts, groundwater drought, hydrological droughts, precipitation, streamflow drought, |
| Online Access: | https://research.wur.nl/en/datasets/data-used-in-the-paper-hydrological-drought-forecasts-using-preci |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Here I provide the SSI-1 derived using the LISFLOOD SFO data from 1991 to 2022. The SPI-x were derived from the ERA5 dataset from 1991-2022. The SGI-1 was derived using the LISFLOOD SFO data from 1990 to 2018. The drought forecasts derived using the Standardized Indices (SSI, SGI, SPI) for European rivers with a lead time of 7-month from 2002 to 2022 can be obtained from the author because the data exceed the limit. Scripts used in the study are provided. Please look at the script readme file. |
|---|