Rainfall Estimates on a Gridded Network (REGEN) – a global land-based gridded dataset of daily precipitation from 1950 to 2016

Contractor, Steefan; Donat, Markus G.; Alexander, Lisa V.; Ziese, Markus; Meyer-Christoffer, Anja; Schneider, Udo; Rustemeier, Elke; Becker, Andreas; Durre, Imke; Vose, Russell S.

doi:https://doi.org/10.5194/hess-24-919-2020

Articles | Volume 24, issue 2

https://doi.org/10.5194/hess-24-919-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-24-919-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 2

Research article

|

27 Feb 2020

Research article |

| 27 Feb 2020

Rainfall Estimates on a Gridded Network (REGEN) – a global land-based gridded dataset of daily precipitation from 1950 to 2016

Steefan Contractor, Markus G. Donat, Lisa V. Alexander, Markus Ziese, Anja Meyer-Christoffer, Udo Schneider, Elke Rustemeier, Andreas Becker, Imke Durre, and Russell S. Vose

Data sets

Rainfall Estimates on a Gridded Network based on all station data v1-2019 S. Contractor, M. G. Donat, L. V. Alexander, M. Ziese, A. Meyer-Christoffer, U. Schneider, E. Rustemeier, A. Becker, I. Durre, and R. S. Vose https://doi.org/10.25914/5ca4c380b0d44

Rainfall Estimates on a Gridded Network based on long-term station data v1-2019 S. Contractor, M. G. Donat, L. V. Alexander, M. Ziese, A. Meyer-Christoffer, U. Schneider, E. Rustemeier, A. Becker, I. Durre, and R. S. Vose https://doi.org/10.25914/5ca4c2c6527d2

Rainfall Estimates on a Gridded Network based on all station data v1.0 S. Contractor, M. G. Donat, L. V. Alexander, M. Ziese, A. Meyer-Christoffer, U. Schneider, E. Rustemeier, A. Becker, I. Durre, and R. S. Vose https://doi.org/10.25914/5b9fa55a8298c

Rainfall Estimates on a Gridded Network based on long-term station data v1.0 S. Contractor, M. G. Donat, L. V. Alexander, M. Ziese, A. Meyer-Christoffer, U. Schneider, E. Rustemeier, A. Becker, I. Durre, and R. S. Vose https://doi.org/10.25914/5b9fa67fce5d6

Short summary

This paper provides the documentation of the REGEN dataset, a global land-based daily observational precipitation dataset from 1950 to 2016 at a gridded resolution of 1° × 1°. REGEN is currently the longest-running global dataset of daily precipitation and is expected to facilitate studies looking at changes and variability in several aspects of daily precipitation distributions, extremes and measures of hydrological intensity.