Supporting data for 'Skill of large-scale seasonal drought impact forecasts'

Datacite citation style:
S.J. (Samuel) Sutanto; van der Weert, M. (Melati) (2020): Supporting data for 'Skill of large-scale seasonal drought impact forecasts'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:4c6f7f0f-e402-4b6c-a2a2-711bcd224e1f
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Wageningen University and Research logo
usage stats
1301
views
201
downloads
geolocation
County Level (NUTS-1): Germany
lat (N): 51
lon (E): 10
view on openstreetmap
time coverage
monthly 1990-2017
licence
cc-by-sa.png logo CC BY-SA 4.0
This dataset was used to develop drought impact function using Log Regression and Random Forest approaches, which is presented in Sutanto et al. (2020): Skill of large-scale seasonal drought impact forecasts, NHESS, https://doi.org/10.5194/nhess-2020-67.
history
  • 2020-04-29 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/x-gzip, application/zip, text/plain
funding
  • EU H2020, 700099
organizations
Hydrology and Quantitative Water Management, Wageningen University & Research

DATA

files (1)