In:
Geoscientific Model Development, Copernicus GmbH, Vol. 12, No. 1 ( 2019-01-03), p. 33-67
Abstract:
Abstract. An operational multi-model forecasting system for air quality including nine
different chemical transport models has been developed and provides daily
forecasts of ozone, nitrogen oxides, and particulate matter for the 37
largest urban areas of China (population higher than 3 million in 2010).
These individual forecasts as well as the mean and median concentrations for
the next 3 days are displayed on a publicly accessible website
(http://www.marcopolo-panda.eu, last access: 7 December 2018). The paper describes the forecasting system and shows some selected
illustrative examples of air quality predictions. It presents an
intercomparison of the different forecasts performed during a given period of
time (1–15 March 2017) and highlights recurrent differences between the
model output as well as systematic biases that appear in the median
concentration values. Pathways to improve the forecasts by the multi-model
system are suggested.
Type of Medium:
Online Resource
ISSN:
1991-9603
DOI:
10.5194/gmd-12-33-2019
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2019
detail.hit.zdb_id:
2456725-5
