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PArtnership with chiNa on space DAta

Objetivo

PArtnership with chiNa on space DAta

The objective of the PANDA Project is to establish a team of European and Chinese scientists who will jointly use space observations and in-situ data as well as advanced numerical models to monitor, analyse and forecast global and regional air quality. PANDA will provide to users and stakeholders knowledge, methodologies and toolboxes that will serve as a basis for global and regional air quality analysis and forecasts. It will provide science-based information that will improve air quality management by regional and local authorities. A strong dissemination and education activity will be established to train users to use the key products and data generated by the Project.

Through the proposed cooperation between Europe and China, the following objectives will be reached before the completion of the Project:
1. Improvement of methods for monitoring air quality from combined space and in-situ observations
2. Elaboration of indicators for air quality, in support of European and Chinese policies
3. Development of toolboxes for air quality and emissions monitoring
4. Dissemination of information and educational activities

The PANDA project is organized around 7 work-packages dealing with remote sensing data, in-situ observations, anthropogenic and natural emissions, integration of observations and models, toolbox development, cooperation, dissemination of knowledge and capacity building, and management and coordination.

The project will support the European Space Policy and specifically the GMES Programme (Global Monitoring for Environment and Security). It will contribute to the development of the Global Earth Observation System of Systems (GEOSS).

Ámbito científico (EuroSciVoc)

Programa(s)

Tema(s)

Convocatoria de propuestas

FP7-SPACE-2013-1
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Régimen de financiación

CP-FP - Small or medium-scale focused research project

Coordinador

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Aportación de la UE
€ 375 000,00
Coste total
Sin datos

Participantes (13)