Articles | Volume 10, issue 1
Geosci. Model Dev., 10, 321–331, 2017
Geosci. Model Dev., 10, 321–331, 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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Cited articles

Ball, J. T.: An Analysis of Stomatal Conductance, Stanford University, 1988.
Ball, J. T., Woodrow, I. E., and Berry, J. A.: A Model Predicting Stomatal Conductance and its Contribution to the Control of Photosynthesis under Different Environmental Conditions, in: Progress in Photosynthesis Research, edited by: Biggins, J., 221–224, Springer Netherlands,, 1987.
Barnard, D. M. and Bauerle, W. L.: The implications of minimum stomatal conductance on modeling water flux in forest canopies, J. Geophys. Res.-Biogeo., 118, 1322–1333,, 2013.
Benyon, R. G.: Nighttime water use in an irrigated Eucalyptus grandis plantation, Tree Phys., 19, 853–859,, 1999.
Bonan, G. B., Lawrence, P. J., Oleson, K. W., Levis, S., Jung, M., Reichstein, M., Lawrence, D. M., and Swenson, S. C.: Improving canopy processes in the Community Land Model version 4 (CLM4) using global flux fields empirically inferred from FLUXNET data, J. Geophys. Res.-Biogeo., 116, G02014,, 2011.
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.