Title: 	A Quantitative Hydrological Climate Classification Evaluated with Independent Streamflow Data
Authors: 	Knoben, W.J.M., Woods, R.A., Freer, J.E.
DOI:		10.1029/2018WR022913
Contact: 	w.j.m.knoben@bristol.ac.uk


Data statement
==============

This study uses climate data (CRU TS v3.23) and streamflow data (GRDC "Pristine basins"). 

CRU TS climate datasets are freely available from https://crudata.uea.ac.uk/cru/data/hrg/. This study uses version 3.23 (Harris et al., 2014), downloaded on 02-07-2016. Indices derived from this data set are provided as part of this data package. 

GRDC streamflow data are available on request from http://www.bafg.de/GRDC/. This study uses a sub set known as Climate Sensitive Stations Dataset (Pristine River Basins) (The Global Runoff Data Centre, 2017) downloaded on 16-05-2017.


License
=======

Included in this data package are climate indices derived from CRU TS v3.23 data, which is made available here under the Open Database License (ODbL).

Data source: https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_3.23/
License: https://opendatacommons.org/licenses/odbl/1.0/


References
==========

Harris, I., Jones, P. D., Osborn, T. J., & Lister, D. H. (2014). Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset. International Journal of Climatology, 34(3), 623–642. https://doi.org/10.1002/joc.3711

The Global Runoff Data Centre. (2017). GRDC pristine catchments data set, 1984-2014. 56068 Koblenz, Germany