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来源类型Article
规范类型其他
DOI10.1186/1750-0680-7-3
How sensitive are estimates of carbon fixation in agricultural models to input data?
Tum M; Strauss F; McCallum I; Guenther K; Schmid E
发表日期2012
出处Carbon Balance and Management 7 (3): 1-13
出版年2012
语种英语
摘要Process based vegetation models are central to understand the hydrological and carbon cycle. To achieve useful results at regional to global scales, such models require various input data from a wide range of earth observations. Since the geographical extent of these datasets varies from local to global scale, data quality and validity is of major interest when they are chosen for use. It is important to assess the effect of different input datasets in terms of quality to model outputs. In this article, we reflect on both: the uncertainty in input data and the reliability of model results. For our case study analysis we selected the Marchfeld region in Austria. We used independent meteorological datasets from the Central Institute for Meteorology and Geodynamics and the European Centre for Medium-Range Weather Forecasts (ECMWF). Land cover / land use information was taken from the GLC2000 and the CORINE 2000 products.
主题Ecosystems Services and Management (ESM)
关键词Agricultural models Net primary productivity EPIC BETHY/DLR Land cover Weather
URLhttp://pure.iiasa.ac.at/id/eprint/9957/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/129379
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GB/T 7714
Tum M,Strauss F,McCallum I,et al. How sensitive are estimates of carbon fixation in agricultural models to input data?. 2012.
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