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 statistics

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 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)

  • 92,864,440 bytesMD5:0476fa1199c4b3783cde37c401e2ac3ddata.zip