Articles | Volume 15, issue 2
Geosci. Model Dev., 15, 859–882, 2022
https://doi.org/10.5194/gmd-15-859-2022
Geosci. Model Dev., 15, 859–882, 2022
https://doi.org/10.5194/gmd-15-859-2022

Model description paper 31 Jan 2022

Model description paper | 31 Jan 2022

MPR 1.0: a stand-alone multiscale parameter regionalization tool for improved parameter estimation of land surface models

Robert Schweppe et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-103', Anonymous Referee #1, 30 Jul 2021
    • AC1: 'Reply on RC1', Stephan Thober, 30 Sep 2021
  • RC2: 'Comment on gmd-2021-103', Anonymous Referee #2, 30 Jul 2021
    • AC2: 'Reply on RC2', Stephan Thober, 30 Sep 2021
  • RC3: 'Comment on gmd-2021-103', Anonymous Referee #3, 31 Jul 2021
    • AC3: 'Reply on RC3', Stephan Thober, 30 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Stephan Thober on behalf of the Authors (09 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (12 Nov 2021) by Carlos Sierra
AR by Stephan Thober on behalf of the Authors (22 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (29 Nov 2021) by Carlos Sierra
AR by Stephan Thober on behalf of the Authors (08 Dec 2021)  Author's response    Manuscript
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Short summary
The recently released multiscale parameter regionalization (MPR) tool enables environmental modelers to efficiently use extensive datasets for model setups. It flexibly ingests the datasets using user-defined data–parameter relationships and rescales parameter fields to given model resolutions. Modern land surface models especially benefit from MPR through increased transparency and flexibility in modeling decisions. Thus, MPR empowers more sound and robust simulations of the Earth system.