mobile instruments

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

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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 - PowerPoint PPT Presentation

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Page 1: Mobile instruments

Mobile instruments

67 “flights”: 12 ferry12 Aztec16 Merlin21 Arat 6 Dornier

6 models available

MOCAGECHIMERE-LISAAZURRAMSCHIMERE-ACRIUAM-TOTAL

Picture of the 2(3)-D distribution at a given time.Spatial more than temporalWay of bridging the gap of plume location

Page 2: Mobile instruments

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??

Page 3: Mobile instruments

OZONE

Page 4: Mobile instruments

OZONE

5h20 7h44 9h47 12h17

9h33 11h59 13h23 15h48

Page 5: Mobile instruments
Page 6: Mobile instruments

Red Green Deep blue

Light blue

Light green

Blue

9/13 7/2 7/2 8/14 8/8 5/12 CORR

9/8 10/0 9/4 9/18 8/5 6/18 RMSE

14/4 12/0 11/7 8/23 5/3 6/16 MOY

12/3 1/4 9/1 2/8 2/5 7/13 MAX

44/28 30/6 36/14 27/63 23/21 24/79 TOT

Page 7: Mobile instruments

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

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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

Page 10: Mobile instruments

NO

Page 11: Mobile instruments

NO

Page 12: Mobile instruments

• 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)