Supplementary material (S2) for the manuscript: βCross-scale impact of climate temporal variability on ecosystem water and carbon fluxesβ Athanasios Paschalis a,b*, Simone Fatichi b, Gabriel G. Katul a,c, Valeriy Y. Ivanov d a Nicholas School of the Environment, Duke University b Institute of Environmental Engineering, ETH Zurich c Department of Civil and Environmental Engineering, Duke University d Department of Civil and Environmental Engineering, University of Michigan *Corresponding author: [email protected] Figures illustrating validation of the T&C model for all the study sites are presented in the following. We included only figures containing the most reliable and long observations available for each site. More detailed information concerning the model performance for the same sites can be found elsewhere [Fatichi, 2010; Fatichi et al., 2012a, 2012b, 2014; Fatichi and Ivanov, 2014]. Specifically, the results for the UMBS were reported in Fatichi, 2010; Fatichi et al., 2012a, 2014, for Lucky Hills in Fatichi, 2010; Fatichi et al., 2012a, 2014 and the results from SMEAR II, Manaus and Duke Forest are presented for the first time in this manuscript. Figure S1: Model validation for the UMBS site. (a) Observed versus simulated soil moisture at 5, 15 and 30 cm depth. (b) Observed versus simulated daily Gross Primary productivity (GPP). (c) The mean daily cycles for the entire simulation period of net radiation π π , latent heat flux ππ¦, and sensible heat flux π». Circles represent observed fluxes, and lines represent simulated fluxes. Figure S2: Model validation for the Lucky Hills site. (a) Observed versus simulated soil moisture at 5, 15, and 30 cm depth at two locations: LHMET and TDRL1. (b) Observed versus simulated daily Gross Primary productivity (GPP). Observed values of GPP are derived from the MODIS (Moderate Resolution Imaging Spectroradiometer) satellite data product. (c) The mean daily cycles for the entire simulation period of net radiation π π , latent heat flux ππ¦, ground heat flux πΊ, and sensible heat flux π». Circles represent observed fluxes, and lines represent simulated fluxes. Figure S3: Model validation for the Manaus site. (a) The mean daily cycles for the entire simulation period of net radiation π π , latent heat flux ππ¦, and sensible heat flux π». (b) The mean daily cycles of the standard deviations for the same fluxes. Circles represent observed fluxes, and lines represent simulated fluxes. Figure S4: Model validation for the Duke Forest loblolly pine site. (a) Observed versus simulated soil moisture at 10 cm depth. (b) Observed versus simulated daily Leaf Area Index (LAI). (c) The mean daily cycles of net radiation π π , latent heat flux ππ¦, and sensible heat flux π» for the entire simulation period. Circles represent observed fluxes, and lines represent simulated fluxes. Figure S5: Model validation for the SMEARII site. (a) Observed versus simulated daily values of Gross Primary Productivity (GPP). (b) The mean daily cycles of latent heat flux ππ¦ and sensible heat flux π» for the entire simulation period. Circles represent observed fluxes, and lines represent simulated fluxes. References Fatichi, S. (2010), The modeling of hydrological cycle and its interaction with vegetation in the framework of climate change, University of Florence, University Braunschweig (http://digisrv1.biblio.etc.tu-bs.de:8080/docportal/receive/DocPortal_document_00037279). Fatichi, S., and V. Ivanov (2014), Interannual variability of evapotranspiration and vegetation productivity, Water Resour. Res., 50(4), 3275β3294, doi:10.1002/2013WR015044. Fatichi, S., V. Y. Ivanov, and E. Caporali (2012a), A mechanistic ecohydrological model to investigate complex interactions in cold and warm water-controlled environments: 1. Theoretical framework and plot-scale analysis, J. Adv. Model. Earth Syst., 4(2), 1β31, doi:10.1029/2011MS000086. Fatichi, S., V. Y. Ivanov, and E. Caporali (2012b), A mechanistic ecohydrological model to investigate complex interactions in cold and warm water-controlled environments: 2. Spatiotemporal analyses, J. Adv. Model. Earth Syst., 4(2), 1β22, doi:10.1029/2011MS000087. Fatichi, S., M. J. Zeeman, J. Fuhrer, and P. Burlando (2014), Ecohydrological effects of management on subalpine grasslands: From local to catchment scale, Water Resour. Res., 50(1), 148β164, doi:10.1002/2013WR014535.
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