The project objectives will be achieved by a multi-disciplinary research
approach and careful project coordination, through the division of main
tasks in seven complementary workpackages, working in close collaboration.
In particular, six workpackages dealing with the research, technological
development and innovation related activities:
Workpackage 1 is the central workpackage and will implement the long-term observation system that integrates 20 intensive study sites (18 eddy covariance sites and 2 atmospheric stations), TEMS and remote sensing data in an information system that will be used as input data for models, scenarios, capacity building, and other applications. WP1 will contribute to the achievements of the 4 objectives of this project (see section 2).
Workpackage 2 is dedicated to the understanding of the processes occurring at site level which drive GHG sources and sinks in several ecosystems. The intensive studies, which include also CH4 and N2O emissions, are carried out at the flux tower site in order to take advantage of the ongoing flux measurements at ecosystem level and the information already available at the site. Results of WP2 will directly flow into WP 3 as parameterization for models. WP2 will contribute to the achievements of the objectives 1, 2 and 3.
Workpackage 3 focus on model predictions, taking as input drivers remote sensing products developed by WP1, ecological data from TEMS in WP1 and ground in situ process studies as in WP2. Model predictions will be validated with long term flux data of the network. A specific activity will be conducted to evaluate models estimates at regional scale by using aircraft based measurements across a regional transect in west Africa (see CARE experiment). WP3 will contribute to the achievements of the objectives 2 and 3.
Workpackage 4 is dedicated to fires and their role on the Sub-Saharan Africa GHG budget. The work will complement the modelling and observation workpackages bringing the dimension of disturbances to the overall GHG monitoring framework. WP4 will contribute to the achievements of the objective 3.
Workpackage 5 focus on dissemination of the results and capacity building, in particular to African institutions and stakeholders. A great effort is dedicated to training and information technologies to reach students and professionals of the Sub-Saharan African region. WP5 will contribute to the achievements of the objective 4 and to the dissemination and exploitation of the results of the project on the whole.
Workpackage 6 concerns the specific application of afforestation and reforestation projects in the framework of Kyoto flexible mechanisms such as CDM (Clean Development Mechanism). Case studies will be analyzed and results used to upscale carbon sequestration analysis to the sub-regional domain. WP6 will contribute to the achievements of the objectives 3 and 4.
Workpackage 7 is dedicated to the coordination, communication and collaboration within and outside the consortium, and the management of knowledge and intellectual property. It will guarantee an effective and useful exploitation of the project's results for the end users. By coordinating the whole project WP7 will contribute to the achievements of the overall objectives of the project.
See Themes for a detailed description of each workpackage.
The workpackages are strongly interlocked by a set of guiding scientific questions defined by the four overall objectives of CARBOAFRICA and they represent a multiscale time and space framework as indicated by the graphical presentation.
CARBOAFRICA is organized in a multi-scale way and transfers basic knowledge into Kyoto related applications and capacity building.
The project implementation foresees the use of numerous models, to support the achievement of its objectives. The use of different models based from data oriented to process oriented is fundamental to have a multiple constrain approach to the continental integration. In the Figure are schematized the different models involved and their respective roles. It is possible to see that only using all the models it will be possible to cover the domain in terms of temporal scales, spatial scales and processes addressed. The overlap between part of the models is important to compare the output and assess the uncertainty, while the models with small overlaps work in a synergistic way.
Process and time scales addressed by the different models used in this project. Usually two models are similar in scope allowing for model intercomparison, hypothesis testing and estimation of structural uncertainties, while synergistic use of models with little overlap is envisioned. Blue models are fully dynamic and prognostic, and green models indicate diagnostic models.
Last updated : 25-07-2007 2:26:11 PM