Articles | Volume 14, issue 5
Geosci. Model Dev., 14, 2603–2633, 2021
https://doi.org/10.5194/gmd-14-2603-2021
Geosci. Model Dev., 14, 2603–2633, 2021
https://doi.org/10.5194/gmd-14-2603-2021

Methods for assessment of models 12 May 2021

Methods for assessment of models | 12 May 2021

Cutting out the middleman: calibrating and validating a dynamic vegetation model (ED2-PROSPECT5) using remotely sensed surface reflectance

Alexey N. Shiklomanov et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Alexey Shiklomanov on behalf of the Authors (04 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (05 Mar 2021) by Christoph Müller
RR by Tristan Quaife (12 Mar 2021)
RR by Anonymous Referee #1 (23 Mar 2021)
ED: Publish as is (02 Apr 2021) by Christoph Müller
AR by Alexey Shiklomanov on behalf of the Authors (09 Apr 2021)  Author's response    Manuscript
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Short summary
Airborne and satellite images are a great resource for calibrating and evaluating computer models of ecosystems. Typically, researchers derive ecosystem properties from these images and then compare models against these derived properties. Here, we present an alternative approach where we modify a model to predict what the satellite would see more directly. We then show how this approach can be used to calibrate model parameters using airborne data from forest sites in the northeastern US.