The MarcoPolo-Panda toolbox provides convenient access to the results of the MarcoPolo and Panda projects, in particular measurements, emission data and model results on atmospheric composition, including daily air quality forecasts for East Asia. The toolbox is still under development, but links to its different components are provided below.
MarcoPolo and Panda are applying a number of air quality models to provide daily air quality forecasts for a selection of Chinese agglomerations and for the region of East Asia.
Links to the air quality forecast tool:
A selection of atmospheric composition models have been run for China and a larger Asian domain in the past. First results can be viewed here. More regional scale modelling is being performed focusing on model evaluation and specific air pollution episodes of the past, and the result page will be continuously updated.
The AeroCom project is an open international initiative of scientists interested in the advancement of the understanding of the global aerosol and its impact on climate. A large amount of observational data and model results have been assembled to document and compare state of the art modeling of global aerosol. The AeroCom tool is hosted by MET Norway and can be used to visualize observational data and to evaluate models globally, but also regionally for the region of East Asia. An example is shown here.
MarcoPolo and Panda are gathering observational data, both in situ and from satellites. The satellite data browser developed by MarcoPolo contains data from GOME, SCIAMACHY and other instruments on a number of relevant species. A link list to additional satellite data provided by the partners of Panda can be accessed here. The toolbox provides also links to in situ data.
The MarcoPolo and Panda projects have collected emission data for different air pollutants. A comprehensive list, linking to data on both anthropogenic and natural emissions, can be found in the MarcoPolo-Panda toolbox.
The Panda project is providing tutorials to aid the correct interpretation and use of data. The University of Bremen has recently created a tutorial on the use of UV/visible satellite data. The document can be downloaded here (version 17 December 2015).