Note: Foreword -- Benefits of dealing with uncertainty in greenhouse gas inventories: introduction -- Abstract -- Introduction -- The challenges of dealing with uncertainty are still with us -- The key arguments for dealing proactively with uncertainty are becoming increasingly relevant -- The topics addressed -- Achieving reliable GHG inventories -- Bottom-up versus top-down GHG emission analyses -- Reconciling short-term emission commitments and long-term concentrations targets -- and detecting and analyzing GHG emission changes vis-à-vis uncertainty, and addressing compliance -- Issues of scales of GHG inventories -- Trading emissions -- Conclusions -- References -- Statistical dependence in input data of national greenhouse gas inventories: effects on the overall inventory uncertainty -- Abstract -- Introduction -- Methodology: how to assess the uncertainty of national emission inventories -- Selection of input data -- Error propagation vs. Monte Carlo simulation -- Considering correlated uncertainties -- Results -- Tasks -- Results using the Tier 1 (error propagation) approach -- Results using the Tier 2 (Monte Carlo) approach -- Overall results comparing the two approaches -- Austrian results in comparison to other published uncertainty estimates of national GHG inventories -- Discussion: how statistical dependence affects uncertainty estimates -- Conclusion -- References -- Uncertainty analysis for estimation of landfill emissions and data sensitivity for the input variation -- Abstract -- Introduction -- The Monte Carlo method -- Landfill CH4 emissions -- Conclusion -- References -- Toward Bayesian uncertainty quantification for forestry models used in the United Kingdom Greenhouse Gas Inventory for land use, land use change, and forestry -- Abstract -- Introduction -- Methods -- BASFOR model -- Data -- Weather data -- Atmospheric CO2. , N deposition -- Soils -- Tree data from Dodd Wood and Rheola sites -- Bayesian calibration and uncertainty quantification -- Results -- Bayesian calibration and uncertainty quantification -- C sequestration 1920--2000 -- C sequestration, 2000--2080 -- Analysis in terms of environmental change factors: climate, CO2, N deposition -- Discussion and conclusions -- Bayesian calibration and data quality -- Spatial distribution of uncertainties -- The impacts of changes in environmental factors -- The use of process-based models in GHG inventories -- References -- Atmospheric inversions for estimating CO 2 fluxes: methods and perspectives -- Abstract -- Introduction -- Inverse modeling principles -- The inverse problem of CO2 sources and sinks and its components -- A priori flux information -- Atmospheric observations -- Atmospheric transport modeling -- Bayesian synthesis inversions -- Atmospheric transport large-scale errors -- Observation errors and transport small-scale errors -- Dimension of the source vector -- Alternative methods -- Future directions and carbon cycle data assimilation -- Concluding remarks -- References -- European CO2 f luxes from atmospheric inversions using regional and global transport models -- Abstract -- Introduction -- Atmospheric inversion setup -- Global inversion with increased resolution over Europe -- Principle -- Spatial discretization of fluxes -- Temporal discretization of fluxes -- Global atmospheric CO2 measurements with new sites over Europe -- Global transport models and finer-scale regional transport models over Europe -- Calculation of the influence function of each region -- Prior fluxes and errors -- Fossil fuel CO2 emissions -- Air--sea exchange -- Net ecosystem productivity -- Sensitivity tests -- Results: annual mean f luxes -- Large-scale mean annual fluxes -- Fluxes in broad latitude bands. , Northern hemisphere fluxes -- European continental carbon balance -- European regional fluxes -- Results: seasonal f luxes -- Seasonal cycle of NEP compared to ecosystem models -- Spatial distribution of summer NEP compared to ecosystem models -- Sensitivity of European f luxes to inverse setup -- Closing remarks -- The use of regional models in an inversion -- Time-length computation for the ``influence function'' -- Conclusions -- References -- Remotely sensed soil moisture integration in an ecosystem carbon flux model. The spatial implication -- Abstract -- Introduction -- Assessing ecosystem carbon fluxes using satellite data -- Datasets: soil water index, fAPAR, meteorology, anthropogenic carbon emissions, and EUROFLUX -- Improvement of NEP estimation based on the integration of SWI data in C-Fix. Evaluation at the EUROFLUX sites -- The accuracy of C-Fix estimates of carbon uptake and respiration fluxes considering local soil moisture data -- Soil water integration into a remote sensing-based ecosystem carbon assimilation model: possible implications for the carbon balance at a European scale -- Water limited carbon uptake for Europe -- Balancing NEP and anthropogenic carbon fluxes for several European countries -- Referencing C-Fix in a GHG inventory framework: including its limits and potential improvements -- Conclusions -- References -- Can the uncertainty of full carbon accounting of forest ecosystems be made acceptable to policymakers? -- Abstract -- Introduction -- Methods and material -- Major features of FCA -- Study region -- Assessment of uncertainties -- Results and discussion -- Uncertainties of carbon pools -- Uncertainties of major fluxes -- Uncertainty of aggregated fluxes -- Comparative analysis with other approaches -- Conclusion -- References. , Terrestrial full carbon account for Russia: revised uncertainty estimates and their role in a bottom-up/top-down accounting exercise -- Abstract -- Introduction -- Methodology -- General methodology overview -- NPP -- Forest -- Agriculture -- Wetlands, grasslands, and shrubs -- Soil heterotrophic respiration -- Consumption -- Disturbances -- Results and discussion -- Conclusions -- References -- Comparison of preparatory signal analysis techniques for consideration in the (post-)Kyoto policy process -- Abstract -- Introduction -- Overview of techniques and their characteristics and conditions of application -- Preparatory signal analysis techniques -- CRU concept -- VT concept -- Und concept -- Und& -- VT concepts combined -- GSC #1 concept -- GSC #2 concept -- Conclusions -- References -- Verification of compliance with GHG emission targets: annex B countries -- Abstract -- Introduction -- Methodology -- National inventory results in consideration of uncertainty -- Emission trends analysis -- Conclusions -- References -- Spatial GHG inventory at the regional level: accounting for uncertainty -- Abstract -- Introduction -- Spatial inventory model for energy sector -- Forming elementary plots -- Geo-information technology -- Spatial inventory results -- Uncertainty evaluation -- Results of uncertainty assessments -- Uncertainty assessment using aggregated data within the Lviv region -- Uncertainty assessment using spatially distributed data -- Uncertainty sensitivity analysis -- Transition to alternative energy sources -- Input data uncertainty change -- Conclusions -- References -- Quantitative quality assessment of the greenhouse gas inventory for agriculture in EuropeQ1Please check if captured article title is correct. -- Abstract -- Introduction -- Method -- Assessing the Tier level -- Assessing the uncertainty at member state level. , Assessing the uncertainty at the EU level -- Results -- Discussion -- Activity data uncertainty is likely to be under-estimated -- Correct allocation of sources of error to activity data and emission factors is important for estimating trend uncertainty -- Uncertainty of the emission factor for N2O emissions from agricultural soils could be overestimated -- Improving methods to estimate emission to higher tiers could result in higher trend uncertainty -- Trend uncertainty is very important -- Conclusion -- References -- A statistical model for spatial inventory data: a case study of N2O emissions in municipalities of southern Norway -- Abstract -- Introduction -- Preliminary explorations -- Modeling spatial correlation -- The model -- Estimation -- Prediction -- Results -- Concluding remarks -- References -- Carbon emission trading and carbon taxes under uncertainties -- Abstract -- Introduction -- Trade equilibrium under uncertainty -- Model with interval uncertainty -- Probabilistic safety constraints -- Dynamic bilateral trading process and taxes -- Computerized multi-agent decentralized trading system -- Myopic market processes -- Concluding remarks -- Appendix 1: Uncertainties and trends of carbon fluxes -- Appendix 2: Detectability of emissions -- References -- CO2 emission trading model with trading prices -- Abstract -- Introduction -- New and earlier market models -- Evolutionary algorithm method in computer simulations -- Computer simulation results -- Conclusions -- References -- Compliance and emission trading rules for asymmetric emission uncertainty estimates -- Abstract -- Introduction -- Problem formulation -- Interval uncertainty -- Compliance -- Emission trading -- Fuzzy uncertainty -- Compliance -- Emission trading -- Equivalence of approaches -- An example -- Conclusions -- Appendix: Fuzzy sets and fuzzy numbers -- References. , The impact of uncertain emission trading markets on interactive resource planning processes and international emission trading experiments.