(1) National Research Council Institute of Atmospheric Sciences and Climate (ISAC-CNR) (2) Agenzia Regionale per la Prevenzione e Ambiente

Transcription

1 PO-BASIN ATMOSPHERIC COMPOSITION DURING THE PEGASOS FIELD CAMPAIGN (SUMMER 212): EVALUATION OF NINFA/AODEM SIMULATION WITH IN-SITU e REMOTE SENSING OBSERVATIONS Tony C. Landi 1,2, M.Stortini 2, G.Bonafe 2, E.Minguzzi 2, P.Cristofanelli 1, A.Marinoni 1, L.Giulianelli 1, S.Sandrini 1, S.Gilardoni 1, M.Rinaldi 1, I.Ricciardelli 2 and P.Bonasoni 1 (1) National Research Council Institute of Atmospheric Sciences and Climate (ISAC-CNR) (2) Agenzia Regionale per la Prevenzione e Ambiente Emilia TonyRomagna Christian LANDI (ARPA-SIMC) - t.landi@isac.cnr.it EGU214-2 May 214 Wien (Austria)

2 Outline 1 Introduction Motivations Field of investigation Short description of modeling system 2 PM over Northern Italy Chemical compositions at SPC, BO and MTC Vertical distribution of the aerosols 3 EGU214-2 May 214 Wien (Austria)

3 Motivations Field of investigation Short description of modeling system Purposes of PEGASOS project 1 Quantify the magnitude of regional to global feedbacks between atmospheric chemistry and a changing climate and to reduce the corresponding uncertainty of the major ones 2 Identify mitigation strategies and policies to improve air quality while limiting their impact on climate change Research Findings in support of the EU Air Quality Review, 213 EGU214-2 May 214 Wien (Austria)

4 Motivations Field of investigation Short description of modeling system Model evaluation with the aim of underpinning the interpretations of measurements collected during PEGASOS field campaign in Northern Italy First step of a comprehensive evaluation of 3-D air quality modeling system NINFA/AODEM over Northern Italy Predictions of particulate matter concentrations are compared with both ground-based and vertical-resolved measurements EGU214-2 May 214 Wien (Austria)

5 Motivations Field of investigation Short description of modeling system The modeling system NINFA/AODEM NINFA is based on 1 the chemical transport model CHIMERE (Bessagnet et al., 28) 2 driven by COSMO-I7, the meteorological Italian Limited Area Model, (Steppeler et al., 23) 3 boundary conditions are provided by Prev air data ( 4 emission input data are based on regional (INEMAR), national (ISPRA) and european inventory (MACC) EGU214-2 May 214 Wien (Austria)

6 Motivations Field of investigation Short description of modeling system The modeling system NINFA/AODEM AODEM: A post-processing tool for aerosol optical properties calculation Tony Christian Landi, 213. AODEM: A post-processing tool for aerosol optical properties calculation in the Chemical Transport Models. Book published by LAP - Lambert Academic Publishing ISBN: EGU214-2 May 214 Wien (Austria)

7 Motivations Field of investigation Short description of modeling system Exploiting the observations of AOP for CTM assessment EGU214-2 May 214 Wien (Austria)

8 PM over Northern Italy Chemical compositions at SPC, BO and MTC Vertical distribution of the aerosols Model underestimates PM 1 and PM 2. of a factor 1.7 during summer conditions Daily PM2. NINFA RFl2 vs AIRBASE (212) [N = 21] 3 Obs Model 3 Daily PM1 NINFA RFl2 vs AIRBASE (212) [N = 29] 6 Obs Model Concentration [µg/m 3 ] Concentration [µg/m 3 ] /17 6/24 7/1 7/8 6/17 6/24 7/1 7/8 Daily PM2. NINFA RFl2 vs AIRBASE (212) [N = 21] 3 th y =.3 x th R 2 =.6 2 th 7th 9th NINFA RFl2 simulation [µg/m 3 ] Daily PM1 NINFA RFl2 vs AIRBASE (212) [N = 29] 6 th y =.44 x th R 2 =.8 th 7th 9th NINFA RFl2 simulation [µg/m 3 ] AIRBASE observations [µg/m 3 ] AIRBASE observations [µg/m 3 ] EGU214-2 May 214 Wien (Austria)

9 PM over Northern Italy Chemical compositions at SPC, BO and MTC Vertical distribution of the aerosols SPC (rural) and Bologna (urban): Secondary Inorganic Aerosols (PM1) EGU214-2 May 214 Wien (Austria)

10 PM over Northern Italy Chemical compositions at SPC, BO and MTC Vertical distribution of the aerosols Cross section of Po valley NINFA layer top altitude (m) MTC = 4 (lev1), 8, 13, 18,2, 32, 4,, 62, 7, 9, 11 (lev12), 13, 1, 18, 22, 26, 31, 37, 44 EGU214-2 May 214 Wien (Austria)

11 PM over Northern Italy Chemical compositions at SPC, BO and MTC Vertical distribution of the aerosols Mt. Cimone (remote): Secondary Inorganic Aerosols (PM1) at lev1 (-4 m agl) - upper panels and lev12 (9-11 m. agl) - lower panels EGU214-2 May 214 Wien (Austria)

12 PM over Northern Italy Chemical compositions at SPC, BO and MTC Vertical distribution of the aerosols Qualitative comparison for SPC NINFA-8levs (left panels) vs Observations (right panels) Investigating the zone of aerosols production (Graphs of observations was generated by Thomas F. Mentel) Atitude (m a.g.l.) Atitude (m a.g.l.) SPCAPO Morning Sulfate Nitrate µg m 3 SPCAPO Afternoon Sulfate Nitrate µg m 3 EGU214-2 May 214 Wien (Austria)

13 PM over Northern Italy Chemical compositions at SPC, BO and MTC Vertical distribution of the aerosols Qualitative comparison for SPC NINFA-2levs (left panels) vs Observations (right panels) Investigating the zone of aerosols production (Graphs of observations was generated by Thomas F. Mentel) Atitude (m a.g.l.) Atitude (m a.g.l.) SPCAPO Morning Sulfate Nitrate µg m 3 SPCAPO Afternoon Sulfate Nitrate µg m 3 EGU214-2 May 214 Wien (Austria)

14 PM over Northern Italy Chemical compositions at SPC, BO and MTC Vertical distribution of the aerosols Aerosols vertical distribution at SPC for 21 June 212 Calculated bulk mass concentrations vs LIDAR RCS (P.I.: G.P. Gobbi, g.gobbi at isac.cnr.it) 3 SPCAPO PM1[ µg m 3 ], period:21jun h 21Jun h23 base212 Geopotential Height (m a.g.l.) Time UTC (hour) Predicted vertical distribution of H2SO4 and HNO3 SPCAPO H2SO4[ µg m 3 ], period:21jun h 21Jun h23 base SPCAPO HNO3[ µg m 3 ], period:21jun h 21Jun h23 base Geopotential Height (m a.g.l.) Geopotential Height (m a.g.l.) Time UTC (hour) Time UTC (hour) EGU214-2 May 214 Wien (Austria)

15 PM over Northern Italy Chemical compositions at SPC, BO and MTC Vertical distribution of the aerosols Aerosols vertical distribution at SPC for 21 June 212 Calculated bulk mass concentrations vs LIDAR RCS (P.I.: G.P. Gobbi, g.gobbi at isac.cnr.it) 3 SPCAPO PM1[ µg m 3 ], period:21jun h 21Jun h23 relaxfluxl2 Geopotential Height (m a.g.l.) Time UTC (hour) Predicted vertical distribution of H2SO4 and HNO3 SPCAPO H2SO4[ µg m 3 ], period:21jun h 21Jun h23 relaxfluxl2 3 6 SPCAPO HNO3[ µg m 3 ], period:21jun h 21Jun h23 relaxfluxl2 3 6 Geopotential Height (m a.g.l.) Geopotential Height (m a.g.l.) Time UTC (hour) Time UTC (hour) EGU214-2 May 214 Wien (Austria)

16 Results and future outlook Results achieved so far 1 During summer conditions, model underestimates PM levels over Northern Italy of a factor Model captures the daily cycle of SIA in PM1 for the sampling sites of SCP, Bologna and Mt. Cimone, even if a significant underestimation remains for the urban one 3 By using an higher vertical resolution, the model can provide useful information for measurements interpretation EGU214-2 May 214 Wien (Austria)

17 We are still working on 1 Model evaluation by using measurements of size-segregated aerosol samples as well as number particles concentration 2 NINFA/AODEM comparisons with AERONET, MODIS/terra and MODIS/aqua, and CALIPSO dataset EGU214-2 May 214 Wien (Austria)

18 Extras - Assessment of PM 2. (CTRL vs RF) 3 3 Daily PM2. CTRL vs AIRBASE (212) [N = 21] Obs Model Daily PM2. NINFA RFl2 vs AIRBASE (212) [N = 21] 3 Obs Model 3 Concentration [µg/m 3 ] Concentration [µg/m 3 ] /17 6/24 7/1 7/8 6/17 6/24 7/1 7/8 CTRL simulation [µg/m 3 ] Daily PM2. CTRL vs AIRBASE (212) [N = 21] 3 th y =.3 x th R 2 =.7 2 th 7th 9th Daily PM2. NINFA RFl2 vs AIRBASE (212) [N = 21] 3 th y =.3 x th R 2 =.6 2 th 7th 9th NINFA RFl2 simulation [µg/m 3 ] AIRBASE observations [µg/m 3 ] AIRBASE observations [µg/m 3 ] EGU214-2 May 214 Wien (Austria)

19 Extras - Tuning of balance for absorption or desorption mass flux of species through PM 1 size distribution (CTRL) as reported in Landi et al BOLOGNA summer ctrl 7 SPCAPO summer ctrl 4 CIMONE summer ctrl DUSTout 6 6 DUST PPM 3 ISOPA1 BiBmP 4 4 BiA1D µg m 3 3 µg m 3 3 µg m 3 2 AnBmP AnA1D SALT OCAR BCAR 1 1 NH3 HNO Bin Number Bin Number Bin Number H2SO4 Landi T.C. et al., 213. Simulation of size-segregated aerosol chemical composition over northern Italy in clear sky and wind calm conditions, Atmospheric Research , 1-11 EGU214-2 May 214 Wien (Austria)

20 Extras - Tuning of balance for absorption or desorption mass flux of species through PM 1 size distribution (RF) as reported in Landi et al BOLOGNA summer rfl2 7 SPCAPO summer rfl2 4 CIMONE summer rfl2 DUSTout 6 6 DUST PPM 3 ISOPA1 BiBmP 4 4 BiA1D µg m 3 3 µg m 3 3 µg m 3 2 AnBmP AnA1D SALT OCAR BCAR 1 1 NH3 HNO Bin Number Bin Number Bin Number H2SO4 Landi T.C. et al., 213. Simulation of size-segregated aerosol chemical composition over northern Italy in clear sky and wind calm conditions, Atmospheric Research , 1-11 EGU214-2 May 214 Wien (Austria)

21 Extras - PM1, PM2., PM1 at Bologna PM1 NINFA Bologna 21% PM2. NINFA Bologna 23% PM1 NINFA Bologna 17% 36% 3% 3% % 9% 3% % < 1% 2% % 9% 3% % < 1% 2% 7% 2% 4% 4% 1% 47% EGU214-2 May 214 Wien (Austria)

22 Extras - PM1, PM2., PM1 at SPC CTNBPA2 rfl2 SPC 22% 32% 11% 1% 19% 2% 4%< 1% CTNBPA2 rfl2 SPC 23% 3% 11% 11% 19% 2% 4%< 1% 7% 8% 2% 3% 4% CTNBPA2 rfl2 SPC 17% 13% 46% EGU214-2 May 214 Wien (Austria)

23 Extras - PM1, PM2., PM1 at Mt. Cimone CTNBPA2 rfl2 Mt. Cimone 1% 2% CTNBPA2 rfl2 Mt. Cimone 2% 2% CTNBPA2 rfl2 Mt. Cimone 19% 6% 36% 1% 11% < 1% 2%< 1% 36% 9% 1% < 1% 2%< 1% 33% 8% < 1% 2% % 2% EGU214-2 May 214 Wien (Austria)