Articles | Volume 10, issue 1
Geosci. Model Dev., 10, 321–331, 2017
https://doi.org/10.5194/gmd-10-321-2017
Geosci. Model Dev., 10, 321–331, 2017
https://doi.org/10.5194/gmd-10-321-2017

Model experiment description paper 23 Jan 2017

Model experiment description paper | 23 Jan 2017

Representing nighttime and minimum conductance in CLM4.5: global hydrology and carbon sensitivity analysis using observational constraints

Danica L. Lombardozzi 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 Danica Lombardozzi on behalf of the Authors (15 Mar 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (10 May 2016) by Tomomichi Kato
RR by Kevin Tu (12 Aug 2016)
ED: Reconsider after major revisions (07 Sep 2016) by Tomomichi Kato
AR by Anna Wenzel on behalf of the Authors (20 Oct 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (07 Nov 2016) by Tomomichi Kato
RR by Kevin Tu (12 Dec 2016)
ED: Publish as is (19 Dec 2016) by Tomomichi Kato
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Short summary
Earth's terrestrial surface influences climate by exchanging carbon and water with the atmosphere through stomatal pores. However, most land-surface models, used to predict global carbon and water fluxes, estimate that water lost through stomata is less than what observations show. In this study, we integrate plant water loss data from 204 species into a global land surface model, finding that global estimates of plant water loss increase, soil moisture decreases, and carbon gain also decreases.