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On-Line Climate Model Simulation Of The Global Carbon Cycle And Verification Using The In Situ Observation Data, K. Mabuchi, H. Kida
On-Line Climate Model Simulation Of The Global Carbon Cycle And Verification Using The In Situ Observation Data, K. Mabuchi, H. Kida
International Congress on Environmental Modelling and Software
Using a global climate model that includes a new land surface ecosystem model, a numerical simulation under conditions of the actual vegetation was performed. The values of atmospheric carbon dioxide concentration calculated by the model were verified using the in situ observation data. Concerning the seasonal cycle patterns in the Northern Hemisphere, the model could successfully reproduce the features of the seasonal cycle patterns of the observed data. Also in the equatorial zone and in the low latitudinal zone in the Southern Hemisphere, the model could generally reproduce the features of the seasonal cycles of the observed data. In the …
Using The Monte Carlo Method To Quantify Uncertainty In Predictions Of A Soil Carbon Cycle Model In Balsam Fir (Abies Balsamea (L.) Mill.) And Black Spruce (Picea Mariana (Mill.) B.S.P.) Forest Ecosystems In The Boreal Forest, G. R. Larocque, D. Paré, R. Boutin, V. Lacerte
Using The Monte Carlo Method To Quantify Uncertainty In Predictions Of A Soil Carbon Cycle Model In Balsam Fir (Abies Balsamea (L.) Mill.) And Black Spruce (Picea Mariana (Mill.) B.S.P.) Forest Ecosystems In The Boreal Forest, G. R. Larocque, D. Paré, R. Boutin, V. Lacerte
International Congress on Environmental Modelling and Software
The majority of process-based models of thecarbon cycle in forest ecosystems aredeterministic. Very few components have beenimplemented in these models to represent theuncertainty that may result from natural variation,model structure and parameter estimates. Thereare many sources of natural variation in thecarbon cycle of forest ecosystems. The mainsources of variation occur in the soil organicmatter (SOM) in terms of quantity and quality,both of which vary according to vegetation type,climatic conditions, soil characteristics (textureand structure) and carbon fluxes. For instance, thelitterfall rate and periodicity influencesignificantly the carbon input in the soil organicand mineral horizons. The litter carbon andnutrient contents affect both the …
Using The Monte Carlo Method To Quantify Uncertainty In Predictions Of A Soil Carbon Cycle Model In Balsam Fir (Abies Balsamea (L.) Mill.) And Black Spruce (Picea Mariana (Mill.) B.S.P.) Forest Ecosystems In The Boreal Forest, G. R. Larocque, D. Paré, R. Boutin, V. Lacerte
Using The Monte Carlo Method To Quantify Uncertainty In Predictions Of A Soil Carbon Cycle Model In Balsam Fir (Abies Balsamea (L.) Mill.) And Black Spruce (Picea Mariana (Mill.) B.S.P.) Forest Ecosystems In The Boreal Forest, G. R. Larocque, D. Paré, R. Boutin, V. Lacerte
International Congress on Environmental Modelling and Software
The majority of process-based models of thecarbon cycle in forest ecosystems aredeterministic. Very few components have beenimplemented in these models to represent theuncertainty that may result from natural variation,model structure and parameter estimates. Thereare many sources of natural variation in thecarbon cycle of forest ecosystems. The mainsources of variation occur in the soil organicmatter (SOM) in terms of quantity and quality,both of which vary according to vegetation type,climatic conditions, soil characteristics (textureand structure) and carbon fluxes. For instance, thelitterfall rate and periodicity influencesignificantly the carbon input in the soil organicand mineral horizons. The litter carbon andnutrient contents affect both the …
Model-Data Fusion In The Studies Of Terrestrial Carbon Sink, G. A. Alexandrov, D. Chan, M. Chen, K. Gurney, K. Higuchi, A. Ito, C. D. Jones, Alexander Komarov, K. Mabuchi, D. M. Matross, F. Veroustraete, W. W. Verstraeten
Model-Data Fusion In The Studies Of Terrestrial Carbon Sink, G. A. Alexandrov, D. Chan, M. Chen, K. Gurney, K. Higuchi, A. Ito, C. D. Jones, Alexander Komarov, K. Mabuchi, D. M. Matross, F. Veroustraete, W. W. Verstraeten
International Congress on Environmental Modelling and Software
Current uncertainty in quantifying the global carbon budget remains a major contributing source of uncertainty in reliably projecting future climate change. Furthermore, quantifying the global carbon budget and characterizing uncertainties have emerged as critical to a successful implementation of United National Framework Convention on Climate Change and its Kyoto Protocol. Beyond fundamental quantification, attribution of the processes responsible for the so-called ‘residual terrestrial uptake’ is important to the carbon cycle communities’ ability to simulated the future response of the terrestrial biosphere to climate change and intentional sequestration activities. This paper’s objective is to describe the efforts of the workshop participants …
Quantifying Uncertainties Associated With Estimates Of Greenhouse Gas Emissions And Removals From Canada’S Managed Forests, Thomas White, Werner Kurz, Graham Stinson
Quantifying Uncertainties Associated With Estimates Of Greenhouse Gas Emissions And Removals From Canada’S Managed Forests, Thomas White, Werner Kurz, Graham Stinson
International Congress on Environmental Modelling and Software
Canada is developing the National Forest Carbon Monitoring Accounting and Reporting System(NFCMARS) to meet international reporting obligations under the United Nations Framework Convention onClimate Change (UNFCCC) and the Kyoto Protocol. The system integrates information about forest area,age and species composition, growth rates, and natural and anthropogenic disturbances in a modelingframework that simulates the forest carbon cycle at stand and landscape scales. The system reports, atregional and national scales, the emissions and removals of greenhouse gases in Canada’s managed forests.Approaches to quantify the uncertainties associated with these estimates are being developed. Thedifficulties associated with meaningfully quantifying uncertainty for national-scale estimates of …
Quantifying Uncertainties Associated With Estimates Of Greenhouse Gas Emissions And Removals From Canada’S Managed Forests, Thomas White, Werner Kurz, Graham Stinson
Quantifying Uncertainties Associated With Estimates Of Greenhouse Gas Emissions And Removals From Canada’S Managed Forests, Thomas White, Werner Kurz, Graham Stinson
International Congress on Environmental Modelling and Software
Canada is developing the National Forest Carbon Monitoring Accounting and Reporting System(NFCMARS) to meet international reporting obligations under the United Nations Framework Convention onClimate Change (UNFCCC) and the Kyoto Protocol. The system integrates information about forest area,age and species composition, growth rates, and natural and anthropogenic disturbances in a modelingframework that simulates the forest carbon cycle at stand and landscape scales. The system reports, atregional and national scales, the emissions and removals of greenhouse gases in Canada’s managed forests.Approaches to quantify the uncertainties associated with these estimates are being developed. Thedifficulties associated with meaningfully quantifying uncertainty for national-scale estimates of …
On-Line Climate Model Simulation Of The Global Carbon Cycle And Verification Using The In Situ Observation Data, K. Mabuchi, H. Kida
On-Line Climate Model Simulation Of The Global Carbon Cycle And Verification Using The In Situ Observation Data, K. Mabuchi, H. Kida
International Congress on Environmental Modelling and Software
Using a global climate model that includes a new land surface ecosystem model, a numerical simulation under conditions of the actual vegetation was performed. The values of atmospheric carbon dioxide concentration calculated by the model were verified using the in situ observation data. Concerning the seasonal cycle patterns in the Northern Hemisphere, the model could successfully reproduce the features of the seasonal cycle patterns of the observed data. Also in the equatorial zone and in the low latitudinal zone in the Southern Hemisphere, the model could generally reproduce the features of the seasonal cycles of the observed data. In the …
Using The Monte Carlo Method To Quantify Uncertainty In Predictions Of A Soil Carbon Cycle Model In Balsam Fir (Abies Balsamea (L.) Mill.) And Black Spruce (Picea Mariana (Mill.) B.S.P.) Forest Ecosystems In The Boreal Forest, G. R. Larocque, D. Paré, R. Boutin, V. Lacerte
Using The Monte Carlo Method To Quantify Uncertainty In Predictions Of A Soil Carbon Cycle Model In Balsam Fir (Abies Balsamea (L.) Mill.) And Black Spruce (Picea Mariana (Mill.) B.S.P.) Forest Ecosystems In The Boreal Forest, G. R. Larocque, D. Paré, R. Boutin, V. Lacerte
International Congress on Environmental Modelling and Software
The majority of process-based models of thecarbon cycle in forest ecosystems aredeterministic. Very few components have beenimplemented in these models to represent theuncertainty that may result from natural variation,model structure and parameter estimates. Thereare many sources of natural variation in thecarbon cycle of forest ecosystems. The mainsources of variation occur in the soil organicmatter (SOM) in terms of quantity and quality,both of which vary according to vegetation type,climatic conditions, soil characteristics (textureand structure) and carbon fluxes. For instance, thelitterfall rate and periodicity influencesignificantly the carbon input in the soil organicand mineral horizons. The litter carbon andnutrient contents affect both the …
Using The Monte Carlo Method To Quantify Uncertainty In Predictions Of A Soil Carbon Cycle Model In Balsam Fir (Abies Balsamea (L.) Mill.) And Black Spruce (Picea Mariana (Mill.) B.S.P.) Forest Ecosystems In The Boreal Forest, G. R. Larocque, D. Paré, R. Boutin, V. Lacerte
Using The Monte Carlo Method To Quantify Uncertainty In Predictions Of A Soil Carbon Cycle Model In Balsam Fir (Abies Balsamea (L.) Mill.) And Black Spruce (Picea Mariana (Mill.) B.S.P.) Forest Ecosystems In The Boreal Forest, G. R. Larocque, D. Paré, R. Boutin, V. Lacerte
International Congress on Environmental Modelling and Software
The majority of process-based models of thecarbon cycle in forest ecosystems aredeterministic. Very few components have beenimplemented in these models to represent theuncertainty that may result from natural variation,model structure and parameter estimates. Thereare many sources of natural variation in thecarbon cycle of forest ecosystems. The mainsources of variation occur in the soil organicmatter (SOM) in terms of quantity and quality,both of which vary according to vegetation type,climatic conditions, soil characteristics (textureand structure) and carbon fluxes. For instance, thelitterfall rate and periodicity influencesignificantly the carbon input in the soil organicand mineral horizons. The litter carbon andnutrient contents affect both the …
Model-Data Fusion In The Studies Of Terrestrial Carbon Sink, G. A. Alexandrov, D. Chan, M. Chen, K. Gurney, K. Higuchi, A. Ito, C. D. Jones, Alexander Komarov, K. Mabuchi, D. M. Matross, F. Veroustraete, W. W. Verstraeten
Model-Data Fusion In The Studies Of Terrestrial Carbon Sink, G. A. Alexandrov, D. Chan, M. Chen, K. Gurney, K. Higuchi, A. Ito, C. D. Jones, Alexander Komarov, K. Mabuchi, D. M. Matross, F. Veroustraete, W. W. Verstraeten
International Congress on Environmental Modelling and Software
Current uncertainty in quantifying the global carbon budget remains a major contributing source of uncertainty in reliably projecting future climate change. Furthermore, quantifying the global carbon budget and characterizing uncertainties have emerged as critical to a successful implementation of United National Framework Convention on Climate Change and its Kyoto Protocol. Beyond fundamental quantification, attribution of the processes responsible for the so-called ‘residual terrestrial uptake’ is important to the carbon cycle communities’ ability to simulated the future response of the terrestrial biosphere to climate change and intentional sequestration activities. This paper’s objective is to describe the efforts of the workshop participants …
Quantifying Uncertainties Associated With Estimates Of Greenhouse Gas Emissions And Removals From Canada’S Managed Forests, Thomas White, Werner Kurz, Graham Stinson
Quantifying Uncertainties Associated With Estimates Of Greenhouse Gas Emissions And Removals From Canada’S Managed Forests, Thomas White, Werner Kurz, Graham Stinson
International Congress on Environmental Modelling and Software
Canada is developing the National Forest Carbon Monitoring Accounting and Reporting System(NFCMARS) to meet international reporting obligations under the United Nations Framework Convention onClimate Change (UNFCCC) and the Kyoto Protocol. The system integrates information about forest area,age and species composition, growth rates, and natural and anthropogenic disturbances in a modelingframework that simulates the forest carbon cycle at stand and landscape scales. The system reports, atregional and national scales, the emissions and removals of greenhouse gases in Canada’s managed forests.Approaches to quantify the uncertainties associated with these estimates are being developed. Thedifficulties associated with meaningfully quantifying uncertainty for national-scale estimates of …
Quantifying Uncertainties Associated With Estimates Of Greenhouse Gas Emissions And Removals From Canada’S Managed Forests, Thomas White, Werner Kurz, Graham Stinson
Quantifying Uncertainties Associated With Estimates Of Greenhouse Gas Emissions And Removals From Canada’S Managed Forests, Thomas White, Werner Kurz, Graham Stinson
International Congress on Environmental Modelling and Software
Canada is developing the National Forest Carbon Monitoring Accounting and Reporting System(NFCMARS) to meet international reporting obligations under the United Nations Framework Convention onClimate Change (UNFCCC) and the Kyoto Protocol. The system integrates information about forest area,age and species composition, growth rates, and natural and anthropogenic disturbances in a modelingframework that simulates the forest carbon cycle at stand and landscape scales. The system reports, atregional and national scales, the emissions and removals of greenhouse gases in Canada’s managed forests.Approaches to quantify the uncertainties associated with these estimates are being developed. Thedifficulties associated with meaningfully quantifying uncertainty for national-scale estimates of …