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The Yale Interactive Terrestrial Biosphere Model Version 1.0: Description, Evaluation and Implementation Into Nasa Giss Modele2 : Volume 8, Issue 8 (05/08/2015)

By Yue, X.

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Book Id: WPLBN0003979338
Format Type: PDF Article :
File Size: Pages 19
Reproduction Date: 2015

Title: The Yale Interactive Terrestrial Biosphere Model Version 1.0: Description, Evaluation and Implementation Into Nasa Giss Modele2 : Volume 8, Issue 8 (05/08/2015)  
Author: Yue, X.
Volume: Vol. 8, Issue 8
Language: English
Subject: Science, Geoscientific, Model
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Unger, N., & Yue, X. (2015). The Yale Interactive Terrestrial Biosphere Model Version 1.0: Description, Evaluation and Implementation Into Nasa Giss Modele2 : Volume 8, Issue 8 (05/08/2015). Retrieved from http://kindle.worldlibrary.net/


Description
Description: School of Forestry and Environment Studies, Yale University, New Haven, Connecticut 06511, USA. The land biosphere, atmospheric chemistry and climate are intricately interconnected, yet the modeling of carbon–climate and chemistry–climate interactions have evolved as entirely separate research communities. We describe the Yale Interactive terrestrial Biosphere (YIBs) model version 1.0, a land carbon cycle model that has been developed for coupling to the NASA Goddard Institute for Space Studies (GISS) ModelE2 global chemistry–climate model. The YIBs model adapts routines from the mature TRIFFID (Top-down Representation of Interactive Foliage and Flora Including Dynamics) and CASA (Carnegie–Ames–Stanford Approach) models to simulate interactive carbon assimilation, allocation, and autotrophic and heterotrophic respiration. Dynamic daily leaf area index is simulated based on carbon allocation and temperature- and drought-dependent prognostic phenology. YIBs incorporates a semi-mechanistic ozone vegetation damage scheme. Here, we validate the present-day YIBs land carbon fluxes for three increasingly complex configurations: (i) offline local site level, (ii) offline global forced with WFDEI (WATCH Forcing Data methodology applied to ERA-Interim data) meteorology, and (iii) online coupled to the NASA ModelE2 (NASA ModelE2-YIBs). Offline YIBs has hourly and online YIBs has half-hourly temporal resolution. The large observational database used for validation includes carbon fluxes from 145 flux tower sites and multiple satellite products. At the site level, YIBs simulates reasonable seasonality (correlation coefficient R > 0.8) of gross primary productivity (GPP) at 121 out of 145 sites with biases in magnitude ranging from −19 to 7 % depending on plant functional type. On the global scale, the offline model simulates an annual GPP of 125 ± 3 Pg C and net ecosystem exchange (NEE) of −2.5 ± 0.7 Pg C for 1982–2011, with seasonality and spatial distribution consistent with the satellite observations. We assess present-day global ozone vegetation damage using the offline YIBs configuration. Ozone damage reduces global GPP by 2–5 % annually with regional extremes of 4–10 % in east Asia. The online model simulates annual GPP of 123 ± 1 Pg C and NEE of −2.7 ± 0.7 Pg C. NASA ModelE2-YIBs is a useful new tool to investigate coupled interactions between the land carbon cycle, atmospheric chemistry, and climate change.

Summary
The Yale Interactive terrestrial Biosphere model version 1.0: description, evaluation and implementation into NASA GISS ModelE2

Excerpt
Weedon, G. P., Balsamo, G., Bellouin, N., Gomes, S., Best, M. J., and Viterbo, P.: The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA-Interim reanalysis data, Water Resour. Res., 50, 7505–7514, doi:10.1002/2014wr015638, 2014.; White, M. A., Thornton, P. E., and Running, S. W.: A continental phenology model for monitoring vegetation responses to interannual climatic variability, Global Biogeochem. Cy., 11, 217–234, doi:10.1029/97gb00330, 1997.; Wittig, V. E., Ainsworth, E. A., and Long, S. P.: To what extent do current and projected increases in surface ozone affect photosynthesis and stomatal conductance of trees? A meta-analytic review of the last 3 decades of experiments, Plant Cell Environ., 30, 1150–1162, doi:10.1111/J.1365-3040.2007.01717.X, 2007.; Yienger, J. J. and Levy, H.: Empirical-Model of Global Soil-Biogenic Nox Emissions, J. Geophys. Res., 100, 11447–11464, doi:10.1029/95jd00370, 1995.; Yue, X. and Unger, N.: Ozone vegetation damage effects on gross primary productivity in the United States, Atmos. Chem. Phys., 14, 9137–9153, doi:10.5194/acp-14-9137-2014, 2014.; Yue, X., Unger, N., Keenan, T. F., Zhang, X., and Vogel, C. S.: Probing the past 30 year phenology trend of US deciduous forests, Biogeosciences, in press, 2015a.; Yue, X., Unger, N., and Zheng, Y.: Distinguishing the drivers of trends in land carbon fluxes and biogenic emissions over the past three decades, Atmos. Chem. Phys., submitted, 2015b.; Zaehle, S., Medlyn, B. E., De Kauwe, M. G., Walker, A. P., Dietze, M. C., Hickler, T., Luo, Y. Q., Wang, Y. P., El-Masri, B., Thornton, P., Jain, A., Wang, S. S., Warlind, D., Weng, E. S., Parton, W., Iversen, C. M., Gallet-Budynek, A., McCarthy, H., Finzi, A. C., Hanson, P. J., Prentice, I. C., Oren, R., and Norby, R. J.: Evaluation of 11 terrestrial carbon-nitrogen cycle models against observations from two temperate Free-Air CO2 Enrichment studies, New Phytol., 202, 803–822, doi:10.1111/Nph.12697, 2014.; Zeng, N., Mariotti, A., and Wetzel, P.: Terrestrial mechanisms of interannual CO2 variability, Global Biogeochem. Cy., 19, Gb1016, doi:10.1029/2004GB002273, 2005.; Zhang, X. Y., Tan, B., and Yu, Y. Y.: Interannual variations and trends in global land surface phenology derived from enhanced vegetation index during 1982–2010, Int. J. Biometeorol., 58, 547–564, doi:10.1007/S00484-014-0802-Z, 2014.; Zhao, M. S. and Running, S. W.: Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009, Science, 329, 940–943, doi:10.1126/Science.1192666, 2010.; Zhao, M. S., Heinsch, F. A., Nemani, R. R., and Running, S. W.: Improvements of the MODIS terrestrial gross and net primary production global data set, Remote Sens. Environ., 95, 164–176, doi:10.1016/J.Rse.2004.12.011, 2005.; Zheng, Y., Unger, N., Barkley, M. P., and Yue, X.: Relationships between photosynthesis and formaldehyde as a probe of isoprene emission, Atmos. Chem. Phys., 15, 8559–8576, doi:10.5194/acp-15-8559-2015, 2015.; Zhu, Z. C., Bi, J., Pan, Y. Z., Ganguly, S., Anav, A., Xu, L., Samanta, A., Piao, S. L., Nemani, R. R., and Myneni, R. B.: Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping

 

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