This scenario has been provided by TUD and UKZN regarding the analysis of relationships between Air Quality and Health in Dresden/Saxony (Germany) and Durban (South Africa).
goal of the scenario is to investigate the spatio-temporal
correlation between health data and environmental datasets (air
temperature, ozone concentration and cardio-vascular disease). All
environmental and health parameters could change for correlation
between other parameters, like PM10 and asthma diseases.
The datasets to be used are :
1- health data : hold by Dresden and Durban partners. Not GEOSS ressource.
2- Air temperature : IASI Level 1C (needs to define relevant granule for Dresden and Durban). Available through : EUMETSAT OR http://www.nsof.class.noaa.gov/saa/products/search?datatype_family=IASI
N.B. : Other data to be tested, depending on the temporal coverage of data, may be : AIRS/Aqua Level 3 Daily standard physical retrieval (AIRS-only) (AIRS3STD) available at : http://mirador.gsfc.nasa.gov
3- Ozone concentration : OMI/Aura Ozone (O3) DOAS Total Column Daily L3 Global 0.25deg Lat/Lon Grid (OMDOAO3e) available at: http://mirador.gsfc.nasa.gov (Mirador is accessible through the GES DISC - Goddard Earth Sciences Data and Information Services Center).
N.B. : Other Ozone data are available at The World Data Centre for Remote Sensing of the Atmosphere : http://wdc.dlr.de/data_products/TRACEGASES/.
A first step in this scenario could be the correlation between cardio-vascular diseases and extreme temperature variations and ozone concentration. For this scenario three Use Cases have been developed. Use Case AQH-D-01 deals with discovering and selecting necessary data sets for further analyses. In a second step the time series will be extracted for a given study period. Afterwards when all is defined statistical indices will be the result of the AQH-D-03. The Use Case refers to the actual correlation analysis (AQH-D-03).Scenario Steps
AIP-3 Services in blue
AIP-3 Products in red
AIP-3 Actors in orange