title: A comparison of reanalysis techniques: applying optimal interpolation and Ensemble Kalman Filtering to improve air quality monitoring at mesoscale.
abstract: To fulfill the requirements of the 2008/50 Directive, which allows member states and regional authorities to use a combination of measurement and modeling to monitor air pollution concentration, a key approach to be properly developed and tested is the data assimilation one. In this paper, with a focus on regional domains, a comparison between optimal interpolation and Ensemble Kalman Filter is shown, to stress pros and drawbacks of the two techniques. These approaches can be used to implement a more accurate monitoring of the long-term pollution trends on a geographical domain, through an optimal combination of all the available sources of data. The two approaches are formalized and applied for a regional domain located in Northern Italy, where the PM10 level which is often higher than EU standard limits is measured.
authors: Department of Information Engineering, University of Brescia, Via Branze 38, I-25123 Brescia, Italy.
authors: Gabriele
authors: G
authors: Candiani
authors: Claudio
authors: C
authors: Carnevale
authors: Giovanna
authors: G
authors: Finzi
authors: Enrico
authors: E
authors: Pisoni
authors: Marialuisa
authors: M
authors: Volta
mesh_terms: D000397:Air Pollution / Q000032:analysis*; D002623:Chemistry Techniques, Analytical / Q000379:methods*; D003625:Data Collection / Q000379:methods*; D004784:Environmental Monitoring / Q000379:methods*; D005843:Geography; D007558:Italy; D008962:Models, Theoretical; D052638:Particulate Matter / Q000032:analysis* / Q000592:standards
chemical_list: D052638:Particulate Matter