Articles | Volume 14, issue 12
Data description paper
16 Dec 2022
Data description paper |  | 16 Dec 2022

Global climate-related predictors at kilometer resolution for the past and future

Philipp Brun, Niklaus E. Zimmermann, Chantal Hari, Loïc Pellissier, and Dirk Nikolaus Karger


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-212', Anonymous Referee #1, 26 Jul 2022
  • RC2: 'Comment on essd-2022-212', Anonymous Referee #2, 30 Sep 2022
    • RC3: 'Reply on RC2', Anonymous Referee #2, 03 Oct 2022
  • AC1: 'Comment on essd-2022-212', Philipp Brun, 04 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Philipp Brun on behalf of the Authors (04 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 Nov 2022) by David Carlson
RR by Anonymous Referee #2 (15 Nov 2022)
ED: Publish as is (20 Nov 2022) by David Carlson
AR by Philipp Brun on behalf of the Authors (21 Nov 2022)
Short summary
Using mechanistic downscaling, we developed CHELSA-BIOCLIM+, a set of 15 biologically relevant, climate-related variables at unprecedented resolution, as a basis for environmental analyses. It includes monthly time series for 38+ years and 30-year averages for three future periods and three emission scenarios. Estimates matched well with station measurements, but few biases existed. The data allow for detailed assessments of climate-change impact on ecosystems and their services to societies.
Final-revised paper