Understanding Carbon Cycling of Terrestrial Ecosystems as a Fuzzy System

11791 11 31912 2 45117 document 31912 Understanding Carbon Cycling of Terrestrial Ecosystems as a Fuzzy System.pdf application/pdf 2154f815dd87ad00e865acab014fdf02 MD5 1962799 2016-01-19 14:29:04 https://pure.iiasa.ac.at/id/eprint/11791/1/Understanding%20Carbon%20Cycling%20of%20Terrestrial%20Ecosystems%20as%20a%20Fuzzy%20System.pdf 11791 1 1 application/pdf text en public cc_by_nc_sa

Understanding Carbon Cycling of Terrestrial Ecosystems as a Fuzzy System.pdf

published 31918 1 45143 document 31918 indexcodes.txt text/x-c++ 458682c74972b0555a4db5bd306419e4 MD5 3095 2016-01-19 14:38:57 https://pure.iiasa.ac.at/id/eprint/11791/2/indexcodes.txt 11791 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/31912 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/31912 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/31912 archive 2 disk0/00/01/17/91 2016-01-19 14:30:18 2023-06-14 13:23:49 2016-01-19 14:30:18 conference_item show 1 Shvidenko A. 1487 Shchepashchenko D. 7435 0000-0002-7814-4990 Kraxner F. 7904 Maksyutov S. Understanding Carbon Cycling of Terrestrial Ecosystems as a Fuzzy System pub prog_esm We outline a methodology of full and verified carbon account of terrestrial ecosystems (FCA) that supposes unbiased assessment of relevant proxy values (here: Net Ecosystem Carbon Budget) and reliable estimation of uncertainties. The FCA is a fuzzy (underspecified) system, of which membership function is inherently stochastic. Thus, any individually used method of FCA is not able to estimate structural uncertainties, that is why usually reported “within method” uncertainties are inevitably partial. Attempting at estimation of “full uncertainties” of the studied system we combine the major methods of terrestrial ecosystems carbon account (landscape-ecosystem method, LEA; process-based models; eddy covariance; and inverse modeling). Assessment of the uncertainties of FCA is provided within each method. Landscape-ecosystem approach (LEA) presents the empirical basis of the FCA in form of an Integrated Land Information System; serves for strict systems designing the account; contains all relevant empirical and semi-empirical data and models. By-pixel parametrization of land cover is provided by utilizing multi-sensor remote sensing data within Geo-Wiki platform and other relevant information based on special optimization algorithms. Major carbon fluxes within the LEA (NPP, HR, disturbances, etc.) are estimated based on fusion of empirical data with process-based elements by sets of regionally distributed models. “Within method” results and uncertainties of the methods examined are harmonized and mutually constrained based on the Bayesian approach. The above methodology have been applied to carbon account of Russian forests for 2000-2010; uncertainties of the FCA for individual years were estimated in limits of ±25%, CI 0.9. We discussed strengths and weaknesses of the approach; system requirements to different methods of the FCA, information and research needs; unresolved problems of cognition of fuzzy system; and obtained and potential levels of uncertainties. 2015-11 published 281 279 165 public poster Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa Laxenburg, Austria 11 -13 November, 2015 conference FALSE FALSE info:eu-repo/semantics/conferenceObject