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      Spatiotemporal patterns of terrestrial gross primary production: A review : GPP Spatiotemporal Patterns

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          The operated Markov´s chains in economy (discrete chains of Markov with the income)

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            An Overview of CMIP5 and the Experiment Design

            The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades and the future to year 2035. These “decadal predictions” are initialized based on observations and will be used to explore the predictability of climate and to assess the forecast system's predictive skill. The CMIP5 experiment design also allows for participation of stand-alone atmospheric models and includes a variety of idealized experiments that will improve understanding of the range of model responses found in the more complex and realistic simulations. An exceptionally comprehensive set of model output is being collected and made freely available to researchers through an integrated but distributed data archive. For researchers unfamiliar with climate models, the limitations of the models and experiment design are described.
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              A biochemical model of photosynthetic CO2 assimilation in leaves of C 3 species.

              Various aspects of the biochemistry of photosynthetic carbon assimilation in C3 plants are integrated into a form compatible with studies of gas exchange in leaves. These aspects include the kinetic properties of ribulose bisphosphate carboxylase-oxygenase; the requirements of the photosynthetic carbon reduction and photorespiratory carbon oxidation cycles for reduced pyridine nucleotides; the dependence of electron transport on photon flux and the presence of a temperature dependent upper limit to electron transport. The measurements of gas exchange with which the model outputs may be compared include those of the temperature and partial pressure of CO2(p(CO2)) dependencies of quantum yield, the variation of compensation point with temperature and partial pressure of O2(p(O2)), the dependence of net CO2 assimilation rate on p(CO2) and irradiance, and the influence of p(CO2) and irradiance on the temperature dependence of assimilation rate.
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                Author and article information

                Journal
                Reviews of Geophysics
                Rev. Geophys.
                Wiley
                87551209
                September 2015
                September 2015
                August 18 2015
                : 53
                : 3
                : 785-818
                Affiliations
                [1 ]College of Engineering, Mathematics and Physical Sciences; University of Exeter; Exeter UK
                [2 ]Department of Applied Environmental Science (ITM) and Bolin Centre for Climate Research; Stockholm University; Stockholm Sweden
                [3 ]Laboratoire des Sciences du Climat et de l'Environnement; Gif sur Yvette France
                [4 ]Met Office Hadley Centre; Exeter UK
                [5 ]Department for Innovation in Biological, Agro-Food and Forest Systems; University of Tuscia; Viterbo Italy
                [6 ]CzechGlobe - Global Change Research Centre AS CR; Brno Czech Republic
                [7 ]Jet Propulsion Laboratory; California Institute of Technology; Pasadena California USA
                [8 ]Key Laboratory of Alpine Ecology and Biodiversity; Institute of Tibetan Plateau Research, Chinese Academy of Sciences; Beijing China
                [9 ]College of Life and Environmental Sciences; University of Exeter; Exeter UK
                [10 ]Department of Geographical Sciences; University of Maryland; College Park Maryland USA
                Article
                10.1002/2015RG000483
                6c62ef03-7ff1-4d30-93ee-86bd87544331
                © 2015

                http://doi.wiley.com/10.1002/tdm_license_1

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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