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.
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.
the Creative Commons Attribution 4.0 License.
Rainfall Estimates on a Gridded Network (REGEN) – a global land-based gridded dataset of daily precipitation from 1950 to 2016
Steefan Contractor
CORRESPONDING AUTHOR
Climate Change Research Centre, UNSW Sydney, Sydney, Australia
ARC Centre of Excellence for Climate System Science, Sydney, Australia
Markus G. Donat
Climate Change Research Centre, UNSW Sydney, Sydney, Australia
ARC Centre of Excellence for Climate Extremes, Sydney, Australia
Barcelona Supercomputing Center, Barcelona, Spain
Lisa V. Alexander
Climate Change Research Centre, UNSW Sydney, Sydney, Australia
ARC Centre of Excellence for Climate Extremes, Sydney, Australia
Markus Ziese
Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, Germany
Anja Meyer-Christoffer
Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, Germany
Udo Schneider
Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, Germany
Elke Rustemeier
Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, Germany
Andreas Becker
Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, Germany
Imke Durre
National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Asheville, NC, USA
Russell S. Vose
National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Asheville, NC, USA
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- Identifying changing precipitation extremes in Sub-Saharan Africa with gauge and satellite products L. Harrison et al. 10.1088/1748-9326/ab2cae
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Latest update: 01 Jun 2023
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.
This paper provides the documentation of the REGEN dataset, a global land-based daily...