27 citations as recorded by crossref.

1. On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes O. Montoya et al. 10.1007/s11356-020-08268-4
2. Ensemble forecasts of air quality in eastern China – Part 2: Evaluation of the MarcoPolo–Panda prediction system, version 1 A. Petersen et al. 10.5194/gmd-12-1241-2019
3. <i>De praeceptis ferendis</i>: good practice in multi-model ensembles I. Kioutsioukis & S. Galmarini 10.5194/acp-14-11791-2014
4. Simulating the integrated Δ<sup>14</sup>CO<sub>2</sub> signature from anthropogenic emissions over Western Europe D. Bozhinova et al. 10.5194/acpd-13-30611-2013
5. Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework E. Solazzo et al. 10.5194/acp-17-10435-2017
6. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V. Marécal et al. 10.5194/gmdd-8-2739-2015
7. Methods for reducing biases and errors in regional photochemical model outputs for use in emission reduction and exposure assessments P. Porter et al. 10.1016/j.atmosenv.2015.04.039
8. Influence of anthropogenic emissions and boundary conditions on multi-model simulations of major air pollutants over Europe and North America in the framework of AQMEII3 U. Im et al. 10.5194/acp-18-8929-2018
9. Meteorological Conditions During an Ozone Episode in Dallas‐Fort Worth, Texas, and Impact of Their Modeling Uncertainties on Air Quality Prediction X. Hu et al. 10.1029/2018JD029791
10. The Fukushima- 137 Cs deposition case study: properties of the multi-model ensemble E. Solazzo & S. Galmarini 10.1016/j.jenvrad.2014.02.017
11. Error apportionment for atmospheric chemistry-transport models – a new approach to model evaluation E. Solazzo & S. Galmarini 10.5194/acp-16-6263-2016
12. Impacts of regional climate change on air quality projections and associated uncertainties G. Lacressonnière et al. 10.1007/s10584-016-1619-z
13. A new method for assessing the efficacy of emission control strategies H. Luo et al. 10.1016/j.atmosenv.2018.11.010
14. Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data I. Kioutsioukis et al. 10.5194/acp-16-15629-2016
15. Impact of inherent meteorology uncertainty on air quality model predictions R. Gilliam et al. 10.1002/2015JD023674
16. Two-scale multi-model ensemble: is a hybrid ensemble of opportunity telling us more? S. Galmarini et al. 10.5194/acp-18-8727-2018
17. Environmental data extraction from heatmaps using the AirMerge system V. Epitropou et al. 10.1007/s11042-015-2604-7
18. <i>De praeceptis ferendis</i>: good practice in multi-model ensembles I. Kioutsioukis & S. Galmarini 10.5194/acpd-14-15803-2014
19. Simulating the integrated summertime Δ<sup>14</sup>CO<sub>2</sub> signature from anthropogenic emissions over Western Europe D. Bozhinova et al. 10.5194/acp-14-7273-2014
20. Comparing apples with apples: Using spatially distributed time series of monitoring data for model evaluation E. Solazzo & S. Galmarini 10.1016/j.atmosenv.2015.04.037
21. Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown E. Solazzo et al. 10.5194/acp-17-3001-2017
22. Pauci ex tanto numero: reduce redundancy in multi-model ensembles E. Solazzo et al. 10.5194/acp-13-8315-2013
23. Evaluation and uncertainty estimation of the impact of air quality modelling on crop yields and premature deaths using a multi-model ensemble E. Solazzo et al. 10.1016/j.scitotenv.2018.03.317
24. Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1 G. Brasseur et al. 10.5194/gmd-12-33-2019
25. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V. Marécal et al. 10.5194/gmd-8-2777-2015
26. Current Status and Development of Modeling Techniques for Forecasting and Monitoring of Air Quality over East Asia R. Park et al. 10.5572/KOSAE.2013.29.4.407
27. <i>Pauci ex tanto numero</i>: reducing redundancy in multi-model ensembles E. Solazzo et al. 10.5194/acpd-13-4989-2013