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Mobile instruments

Mobile instruments. 6 models available. MOCAGE CHIMERE-LISA AZUR RAMS CHIMERE-ACRI UAM-TOTAL. 67 “flights”: 12 ferry 12 Aztec 16 Merlin 21 Arat 6 Dornier. Picture of the 2(3)-D distribution at a given time. Spatial more than temporal

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Mobile instruments

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  1. Mobile instruments 6 models available MOCAGE CHIMERE-LISA AZUR RAMS CHIMERE-ACRI UAM-TOTAL 67 “flights”: 12 ferry 12 Aztec 16 Merlin 21 Arat 6 Dornier Picture of the 2(3)-D distribution at a given time. Spatial more than temporal Way of bridging the gap of plume location

  2. OZONE • profils are grouped in general with one or two models out of the group • missed “flights” for every models • STD platform dependant: • overestimated for ferry (30 meters) • more or less for arat (< 1000 but sharp RS) • underestimated for aztec and merlin (more level flight) • Time resolution of the series??

  3. OZONE

  4. OZONE 5h20 7h44 9h47 12h17 9h33 13h23 11h59 15h48

  5. NO2 • simulated peaks are too strong • UAM-total really different behaviour • STD very different according to the platform : • really overestimated for arat (mainly <1000m but sharp RS) in a lesser extend in Rams and Mocage and in a greater extend for Chimere and UAM

  6. NO • mis-representation both for back-ground values and peaks • simulated series are too smooth • overestimation in Chimere (Lisa and Acri) and Azur for ferry concentrations • underestimation of the STD

  7. NO

  8. NO

  9. synthesis representation for corr,rmse and std will be really useful • analyse by flight groups : AM/MD/PM/Land/Sea • when more models, track the ressemblance (like Chimere-LISA and Azur) ; not like in MTO, Mocage doesn’t appear isolated (even for NO) • As they are identical flight pattern, exploration also of the ability of models to reproduce the inter-day variability (mean, std, max, etc)

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