Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 12
Articles | Volume 25, issue 12
https://doi.org/10.5194/hess-25-6173-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-6173-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 12
Research article
 | 
06 Dec 2021
Research article |  | 06 Dec 2021

Coherence of global hydroclimate classification systems

Kathryn L. McCurley Pisarello and James W. Jawitz

Supplement

https://doi.org/10.5194/hess-25-6173-2021-supplement

Data sets

CRU TS4.04: Climatic Research Unit (CRU) Time-Series (TS) version 4.04 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901–Dec. 2019) University of East Anglia Climatic Research Unit, I. C. Harris, P. D. Jones, and T. Osborn https://catalogue.ceda.ac.uk/uuid/89e1e34ec3554dc98594a5732622bce9

GLEAM v3: satellite-based land evaporation and root-zone soil moisture (https://www.gleam.eu/#downloads) B. Martens, D. G. Miralles, H. Lievens, R. van der Schalie, R. A. M. de Jeu, D. Fernández-Prieto, H. E. Beck, W. A. Dorigo, and N. E. C. Verhoest https://doi.org/10.5194/gmd-10-1903-2017

Global land-surface evaporation estimated from satellite-based observations (https://www.gleam.eu/#downloads) D. G. Miralles, T. R. H. Holmes, R. A. M. De Jeu, J. H. Gash, A. G. C. A. Meesters, and A. J. Dolman https://doi.org/10.5194/hess-15-453-2011

G-RUN : Global Runoff Reconstruction G. Ghiggi, L. Gudmundsson, and V. Humphrey https://doi.org/10.6084/m9.figshare.9228176.v2

Model code and software

ktpisa/Coherence-of-global-hydroclimate-classification-systems (v1.1.0c) K. Pisarello and J. Jawitz https://doi.org/10.5281/zenodo.5748255

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Short summary
Climate classification systems divide the Earth into zones of similar climates. We compared the within-zone hydroclimate similarity and zone shape complexity of a suite of climate classification systems, including new ones formed in this study. The most frequently used system had high similarity but high complexity. We propose the Water-Energy Clustering framework, which also had high similarity but lower complexity. This new system is therefore proposed for future hydroclimate assessments.
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