Articles | Volume 15, issue 2
Geosci. Model Dev., 15, 395–411, 2022
https://doi.org/10.5194/gmd-15-395-2022
Geosci. Model Dev., 15, 395–411, 2022
https://doi.org/10.5194/gmd-15-395-2022

Development and technical paper 18 Jan 2022

Development and technical paper | 18 Jan 2022

Coupling the Community Land Model version 5.0 to the parallel data assimilation framework PDAF: description and applications

Lukas Strebel 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-2021-38', Anonymous Referee #1, 21 Sep 2021
    • AC1: 'Reply on RC1', Lukas Strebel, 04 Oct 2021
  • RC2: 'Comment on gmd-2021-38', Anonymous Referee #2, 29 Sep 2021
    • AC2: 'Reply on RC2', Lukas Strebel, 26 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Lukas Strebel on behalf of the Authors (03 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (08 Dec 2021) by David Lawrence
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Short summary
We present the technical coupling between a land surface model (CLM5) and the Parallel Data Assimilation Framework (PDAF). This coupling enables measurement data to update simulated model states and parameters in a statistically optimal way. We demonstrate the viability of the model framework using an application in a forested catchment where the inclusion of soil water measurements significantly improved the simulation quality.