Microsimulation and interregional input-output modelling as tools for multi-level policy analysis
In: Environment & planning: international journal of urban and regional research. C, Government & policy, Band 34, Heft 1, S. 135-150
ISSN: 0263-774X
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In: Environment & planning: international journal of urban and regional research. C, Government & policy, Band 34, Heft 1, S. 135-150
ISSN: 0263-774X
In: Environment & planning: international journal of urban and regional research. C, Government & policy
ISSN: 0263-774X
In: Alcohol and alcoholism: the international journal of the Medical Council on Alcoholism (MCA) and the journal of the European Society for Biomedical Research on Alcoholism (ESBRA), Band 49, Heft suppl 1, S. i58-i58
ISSN: 1464-3502
Uncertainty in ocean analysis methods and deficiencies in the observing system are major obstacles for the reliable reconstruction of the past ocean climate. The variety of existing ocean reanalyses is exploited in a multi-reanalysis ensemble to improve the ocean state estimation and to gauge uncertainty levels. The ensemble-based analysis of signal-to-noise ratio allows the identification of ocean characteristics for which the estimation is robust (such as tropical mixed-layer-depth,upper ocean heat content), and where large uncertainty exists (deep ocean, Southern Ocean, sea-ice thickness, salinity), providing guidance for future enhancement of the observing and data assimilation systems. ; This work has been partially funded by the European Commission funded projects MyOcean, MyOcean2 and COMBINE; by the GEMINA project-funded bythe Italian Ministry for Environment; by the NERC-funded VALOR project; by the NERC-funded NCEO program; by the Research Program on Climate Change adaptation of the Ministry of Education, Culture, Sports, Science and Technology of the Japanese government; by the Joint UK DECC/Defra Met Office Hadley Centre Climate Programme (GA01101); by NASA's Modeling Analysis and Prediction Program under WBS 802678.02.17.01.25 and by the NASA Physical Oceanography Program; by the NOAA's Climate Observation Division (COD); by the LEFE/GMMC French national program. ; Published ; s80-s97 ; 4A. Clima e Oceani ; JCR Journal ; open
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