Supporting data for 'Hydrological drought forecasts outperform meteorological drought forecasts'
Datacite citation style
S.J. (Samuel) Sutanto (2020): Supporting data for 'Hydrological drought forecasts outperform meteorological drought forecasts'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:3ac082ab-15e7-4521-8d47-5128b0e0d239
        Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
    Dataset
Usage statistics
1140
                views
            648
                downloads
            Geolocation
Europa, excl. Russia, Europe
        Time coverage 1990-2017, Monthly
Licence CC BY-SA 4.0
Interoperability
        This dataset was used in our paper with the title: Hydrological drought forecasts outperform meteorological drought forecasts. It contains drought indices analysis using proxy observed, re-forecasts, and ESP data.
        
        History
- 2020-04-02 first online, published, posted
Publisher
4TU.Centre for Research DataFormat
media types: application/octet-stream, application/x-tar-gz, application/zip, text/html, text/plainReferences
Funding
- EU H2020, 700099
Organizations
The European Centre for Medium-Range Weather Forecasts, Forecast Department, Evaluation Section, Applications;Wageningen University and Research, Department of Hydrology and Quantitative Water Management
DATA
Files (4)
- 1,832 bytesMD5:bef5443a271999c65d56212128311cabREADME.txt
- 151,036,393,131 bytesMD5:865040d10377a2798785e43b36cb551cESP_S4.zip
- 116,410,243,441 bytesMD5:10ebd3c73404e1c138ea7cdfb90befaaHindcast_S4.zip
- 3,976,582,615 bytesMD5:9ac7e487d9853f1f11304205685a766bWB_S4.tar.gz
- 
                    download all files (zip)
                271,423,221,019 bytes unzipped





