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 MarcoPolo – Panda |   On air quality in China

MarcoPolo – Panda. On air quality in China. Emission Data for China. Due to the strong economic growth in China in the past decade, air pollution has become a serious issue in many parts of the country. For this reason up-to-date regional air pollution information and means for emission control of the main pollutants are becoming more and more important. Within the EU FP7 programme. Two collaborative research projects have started in which Chinese and European partners.

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 MarcoPolo – Panda |   On air quality in China | marcopolo-panda.eu Reviews
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 MarcoPolo – Panda |   On air quality in China | marcopolo-panda.eu Reviews

https://marcopolo-panda.eu

MarcoPolo – Panda. On air quality in China. Emission Data for China. Due to the strong economic growth in China in the past decade, air pollution has become a serious issue in many parts of the country. For this reason up-to-date regional air pollution information and means for emission control of the main pollutants are becoming more and more important. Within the EU FP7 programme. Two collaborative research projects have started in which Chinese and European partners.

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Combined Datasets |  MarcoPolo – Panda

http://www.marcopolo-panda.eu/combined-datasets

MarcoPolo – Panda. On air quality in China. Emission Data for China. A harmonised, high-resolution (0.01 ) surface NO2 dataset from the University of Leicester is presented in this section. Surface concentrations have been calculated by combining in-situ measurements with OMI tropospheric columns as part of a Land Use Regression model (see Panda deliverable report D2.2. Data files can be downloaded on netCDF format from the list below. Zip Archive containing files of monthly averages).

2

Summer School |  MarcoPolo – Panda

http://www.marcopolo-panda.eu/meetings/summer-school

MarcoPolo – Panda. On air quality in China. Emission Data for China. Next (second) summer school (4-8 July 2016). Summer school “International Summer School on Air Pollution Monitoring and Forecast: Space observations and Air Quality”. Will take place from 04 to 08 July 2016 at the School of Atmospheric Sciences (SAS), Sun Yat-sen University ( http:/ eeswxm.sysu.edu.cn/. In Guangzhou, China. Agenda of the summer school. Before 30 April 2016. Here you find the application form. Number of Participants: 40.

3

Historical Cases |  MarcoPolo – Panda

http://www.marcopolo-panda.eu/products/model-data/historical-cases

MarcoPolo – Panda. On air quality in China. Emission Data for China. EMEP model results for 2010. Model has been run on 0.5×0.5 degree resolution for 2010 and the global domain, using HTAPv2. Emission data. The figures below show examples zoomed in on an Asian sub domain for PM2.5 in different seasons. Click on images to enlarge. WRF-Chem model results for 2010. A 15% reduction in anthropogenic emissions within. Different cities on air pollutant concentrations within. The cities leads, in January, to lar...

4

Publications |  MarcoPolo – Panda

http://www.marcopolo-panda.eu/publications

MarcoPolo – Panda. On air quality in China. Emission Data for China. API Evaluation Report ( part1. Local Awareness Campaigns ( Shanxi. Anthropogenic sulphur dioxide load over China as observed from different satellite sensors. M E Koukouli, D. S. Balis, R. van der A, et al.,. Atmospheric Environment, http:/ dx.doi.org/10.1016/j.atmosenv.2016.09.007, 2016. Cleaning up the air: Effectiveness of air quality policy for SO2 and NOx emissions in China. Xingying Zhang, Ling Wang, Weihe Wang, Dongjie Cao, Xi Wa...

5

Forecast |  MarcoPolo – Panda

http://www.marcopolo-panda.eu/forecast

MarcoPolo – Panda. On air quality in China. Emission Data for China. Air Quality Forecast for Beijing. PM25 time series [μg/m³]. Shows the average concentration of this air pollutant taken from the available stations for this city. The values are taken from www.pm25.in. The shaded red area indicates the standard deviation of these measurements. Shows the simulated air quality. The median of the ensemble of models.The grey shaded area indicates the range of the model predictions. Laquo; previous day.

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WRF-Chem | Atmospheric Chemistry Observations & Modeling

http://www2.acom.ucar.edu/wrf-chem

Skip to main content. Community in Situ Measurements. Satellite and Remote Sensing. Collaborative Observational Studies / ACCORD. For New Staff and Visitors. Atmospheric Chemistry Observations and Modeling. The development of WRF-Chem is a collaborative effort among the community. NOAA/ESRL scientists are the leaders and caretakers of the code. The Official WRF-Chem web page. Development is located at the PNNL web site as well as the PNNL Aerosol Modeling Testbed. Tools for the Community. Users Guides)&#...

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BIRA-IASB Tropospheric Chemistry

http://tropo.aeronomie.be/projects.htm

Belgian Institute for Space Aeronomy. Atmospheric Composition Research Using Observations from Satellites - ACROSAT. Data Exploitation - Belgian Science Policy. Biogenic Influences on Oxidants and Secondary Organic Aerosol: theoretical, laboratory and modelling investigations - BIOSOA. SD/CS/05A - Belgian Science Policy. Monitoring and Assessment of Regional air quality in China using space Observations, Project of Long-term sino-european Co-operation- MARCOPOLO. 1/10/2011 - 31/09/2013 extended until 2015.

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LOTOS-EUROS model - Home

http://www.lotos-euros.nl/index.php

PM and mass closure. Air quality and climate. LOTOS-EUROS is a regional chemical transport model (CTM) designed for the assessment of concentrations and deposition of gaseous and particulate air pollutants. The model is used for a wide range of scientific and regulatory supporting applications. An open source version. Is available since October 2016. Current air quality forecasts. Air quality forecasts using the LOTOS-EUROS model are available online:. Air quality forecast The Netherlands. Climate scenar...

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 MarcoPolo – Panda |   On air quality in China

MarcoPolo – Panda. On air quality in China. Emission Data for China. Due to the strong economic growth in China in the past decade, air pollution has become a serious issue in many parts of the country. For this reason up-to-date regional air pollution information and means for emission control of the main pollutants are becoming more and more important. Within the EU FP7 programme. Two collaborative research projects have started in which Chinese and European partners.

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