Title Testing EMEP model with AMS measurements from 2008-09 intensive periods - PowerPoint Presentation

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Title Testing EMEP model with AMS measurements from 2008-09 intensive periods - PPT Presentation

Presented by Svetlana Tsyro TFMM 12 th meeting 1113 May 2011 Meteorologisk Institutt metno EMEP model performance for 2008 Ns Obs ug SNm 3 Mod ug SNm ID: 1026871

met institutt model meteorologisk institutt met meteorologisk model no3 nh4 so4 mod obs 2008 diurnal variation ams daytime nh4no3

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1. TitleTesting EMEP model with AMS measurements from 2008-09 intensive periodsPresented by Svetlana TsyroTFMM 12th meeting, 11-13 May 2011

2. Meteorologisk Institutt met.noEMEP model performance for 2008 NsObs ug(S/N)/m3Mod ug(S/N)/m3Bias (%)RMSERIOASO4560.570.35-390.300.70.68NO3280.360.34-70.160.710.82NH4350.700.54-230.260.800.84 win/autspr/sumSO4-49-33NO322-43NH4-11-38

3. Meteorologisk Institutt met.noWhy to look at hourly data? Testing the soundness of processes’ description in the model and identifying deficiencies May help to explain model disagreements with “standard” daily observations and improve the model

4. Meteorologisk Institutt met.noWhat processes drive diurnal variation of concentrations in the EMEP model Meteorology Dispersion: night suppression, daytime mixingChemistry: daytime - more efficient photo-chemistry , evaporation of semi-volatile aerosols Dry deposition: less efficient at night (?) due to increased aerodynamic resistance (but e.g. surface R is smaller for SO2 due to higher Rh), but… higher surface concentrations Emissions diurnal variation – rather crudeHeight1 energy2 resid comb3 Indus comb4 indus proc.5 extraction6 sol-vent7road traff8 other mobil9 waste10 agricDay night 1 11.2 0.81.2 0.8 1 1 1 11.5 0.51.5 0.51.2 0.8 1 11.4 0.6

5. Meteorologisk Institutt met.noSitesCH02 Payerne 510 m 5min DE44 Melpitz 87 mES19 Barcelona 80 mFI63 Puijo Smear IV 306 m 5min FR30 Puy de Dôme 1465 mHU02 K-puszta 125 mIT10 San Pietro Capofiume 11 mSE11 Vavihill 172 mAMS (Aerodyne Aerosol Mass Spectrometer: SO4, NO3, NH4 in appr. PM1 - hourly

6. Meteorologisk Institutt met.no.. Just two examples

7. Meteorologisk Institutt met.noSO4NO3NH4

8. Meteorologisk Institutt met.noOUTLINE SO4IT10HU02CH02SE11FI63FR30DE44DE44May-JuneSept-Oct 2008

9. Meteorologisk Institutt met.no NO3IT10HU02CH02SE11FI63FR30DE44DE44May-JuneSept-Oct 2008

10. Meteorologisk Institutt met.no NH4IT10HU02CH02SE11FI63FR30DE44DE44May-JuneSept-Oct 2008

11. Meteorologisk Institutt met.no SO4Feb-Mar 2009 SE11CH02FR30DE44ES19

12. Meteorologisk Institutt met.no NO3Feb-Mar 2009 SE11CH02FR30DE44ES19

13. Meteorologisk Institutt met.no NH4Feb-Mar 2009 SE11CH02FR30DE44ES19

14. Meteorologisk Institutt met.noMain first findingsSO4 - Model tends to underestimate (exc. SE11, IT10, FR30)Calculated diurnal profiles are flat-ish, even with slight daytime minimum – formation in daytime / dry deposition at nightNO3 – some tendency to underestimation, in particular in summer (unstable NH4NO3) and north (lack of NH3)Model reproduces morning max (though 2-3h to earlier than observed) and afternoon min, showing steeper decrease – meteorology variation, EQSAM accuracy NH4 - Both some under/overestimation Diurnal – similar to NO3; variable results vs observations

15. Meteorologisk Institutt met.noGeographical differences in model performancePayerne: Obs – NH4 follows SO4; Mod – NH4 follows NO3 Too little H2SO4 in Mod? – the greatest “-” biasMelpitz , K-puszta: NH4NO3–like variation in both Obs and Mod, but Mod gives NO3=0 at DE44 in summerVavihill: Obs&Mod indicate predominance NH4NO3 in 2008 unexpected large overest. SO4 and NH4 in 2009 (comp. to 2008 and EMEP filters) Mod - all SIA show similar variation, with morning max; Obs - SO4 and NH4 - low values, flat; NO3- high, daytime min Barcelona – surprisingly good agreement for urban site NO3- max at 6 am in Mod, but at 9-10 am in Obs (traffic)?

16. Meteorologisk Institutt met.noSO4: AMS and FilterHourly to DailyEMEPHourly- 52%- 45%- 30%- 9%

17. Meteorologisk Institutt met.noSO4: AMS and Filter- 54%- 43%- 56%- 30%

18. Meteorologisk Institutt met.noSO4: AMS and Filter- 35%100%- 53%- 35%

19. Meteorologisk Institutt met.noNO3 & NH4: AMS and Filter93%- 16%38%- 12%Hourly to DailyEMEPHourly

20. Meteorologisk Institutt met.noModel performance against diff. types of measurements: Filterpacks: SO4 – greater underestimation (SO4 larger 1um) NO3 and NH4– smaller underestimation, and even overestimation (evaporation from filters, model overestimation of coarse NO3)MARGA - larger SIA underestimation in PM2.5 and PM10 : SO4 - only “fine” in model; SO4 in 1-10 um ? NO3 and NH4 - unstable NH4NO3 in model, too little coarse NO3 (?), NH4 in 1-10 um ?

21. Meteorologisk Institutt met.noConcluding remarksConsiderable amount of information (results) to analyse and interpretSome – can be associated with particular process in the model:NO3 (fine) – EQSAM tends to shift equilibrium too far towards the gas phase as T increases (Rh decr)NH4 – appears in different dominant form in model and obs: (NH4)xSO4 or NH4NO3 - too unstable ammonium nitrate aerosols , lack of ammoniaOther still need to be explained: SO4 – diurnal profile.. To be presented in Report 4/2011

22. Meteorologisk Institutt met.noThank you for attention!

23. Meteorologisk Institutt met.noSO4 2008 2009 ObsModBiasRRMSEIOA ObsModBiasRRMSEIOACH021.71.0-430.551.10.65 1.00.7-350.490.70.66HU022.62.4-90.501.60.68 DE441.61.0-370.531.00.66 1.51.0-300.690.90.79DE44*2.42.3-70.671.20.79 SE110.90.5-450.620.70.72 0.51.01130.661.20.46FI630.30.25-170.410.30.58 ES19 2.72.3-160.631.40.77IT100.70.9270.01.00.21 FR300.71.2820.141.20.45 0.60.7160.01.00.25

24. Meteorologisk Institutt met.noNO3 2008 2009 ObsModBiasRRMSEIOA ObsModBiasRRMSEIOACH022.83.5260.573.40.66 3.83.1-200.742.40.84HU021.91.6-160.692.00.81 DE442.92.8-40.632.80.79 3.63.0-180.643.00.79DE44*0.60.01-980.360.90.42 SE111.81.0-450.592.40.74 4.22.0-530.54.20.62FI630.070.01000.110.10.44 ES19 3.63.4-70.474.00.67IT102.91.6-44-0.114.160.35 FR302.91.5-490.050.310.43 0.72.32080.312.60.47

25. Meteorologisk Institutt met.noNH4 2008 2009 ObsModBiasRRMSEIOA ObsModBiasRRMSEIOACH021.61.4-140.581.10.73 1.61.2-290.711.00.81HU021.51.3-120.660.90.80 DE441.31.2-100.630.90.78 1.71.3-250.651.10.78DE44*0.90.8-100.550.50.72 SE110.80.5-400.620.80.76 0.50.91040.541.00.48FI630.090.1110.310.10.55 ES19 1.61.8160.521.40.71IT101.20.8-38-0.121.50.36 FR301.70.9-490.301.60.49 0.60.9610.231.10.49