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IMPROVE Report 2006 L. Debell, K. Gebhart, B. Schichtel and W. Malm.

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Presentation on theme: "IMPROVE Report 2006 L. Debell, K. Gebhart, B. Schichtel and W. Malm."— Presentation transcript:

1 IMPROVE Report 2006 L. Debell, K. Gebhart, B. Schichtel and W. Malm

2 IMPROVE Report Outline Section 1: IMPROVE Data summaries Section 1: IMPROVE Data summaries Chapter 1: Network Overview Chapter 1: Network Overview Chapter 2: IMPROVE-STN Data Comparability Chapter 2: IMPROVE-STN Data Comparability Chapter 3: Spatial trends in the annual average aerosol concentrations and extinction coefficients Chapter 3: Spatial trends in the annual average aerosol concentrations and extinction coefficients Chapter 4: Spatial Variability of monthly patterns in aerosol concentrations and extinction coefficients Chapter 4: Spatial Variability of monthly patterns in aerosol concentrations and extinction coefficients Chapter 5: Trends in aerosol concentrations and extinction coefficients Chapter 5: Trends in aerosol concentrations and extinction coefficients Section 2: Special Study Summaries Section 2: Special Study Summaries Chapter 1: BRAVO Executive Summary and Link to full report Chapter 1: BRAVO Executive Summary and Link to full report Chapter 2: Yosemite Executive Summary and Link to full report Chapter 2: Yosemite Executive Summary and Link to full report Chapter 3: Coarse Mass Study Chapter 3: Coarse Mass Study Chapter 4: IMPROVE Algorithm Review Chapter 4: IMPROVE Algorithm Review Section 3: QA Studies Section 3: QA Studies Chapter 1: Historical Data QA/QC Review Chapter 1: Historical Data QA/QC Review Chapter 2: Denuder Study Chapter 2: Denuder Study Other work Other work Carbon 12/14 study Carbon 12/14 study Hygroscopicity of Smoke and Carbon Aerosols Hygroscopicity of Smoke and Carbon Aerosols

3 IMPROVE Network

4 Fusion of IMPROVE & STN Networks

5 SiOC S Relative Errors from Six Collocated IMPROVE Monitors Average Concentration, (µg/m 3 ) Relative Error [ (x i – y i ) / (x i +y i )/2 ] NO3

6 Relative Errors from Six Collocated IMPROVE & STN Monitors S NO3 Si OC (Blank corrected STN OC data) Average Concentration, (µg/m 3 ) Relative Error (IMPROVE – STN)/Avg

7 1-  Uncertainty IMPROVEin-networkIMPROVE-STN cross network Al19%33% Ca7%28% Fe5%21% Si5%11% Ti4%25% S3%11% SO42%5% NO35%14% EC7%24% OC7%36% blank- corrected STN OC data NA8% Comparability of IMPROVE and STN Measurements X and Y represent the paired annual means Where: Precision in Annual Average Concentrations calculated from collocated data Note, these uncertainties do not contain the error due to a systematic bias

8 IMPROVE Reconstructed Fine Mass

9 IMPROVE & STN Reconstructed Fine Mass

10 IMPROVE Ammonium Sulfate Mass

11 IMPROVE & STN Ammonium Sulfate Mass

12 IMPROVE Organic Carbon Mass

13 IMPROVE & STN Organic Carbon Mass

14 IMPROVE Ammonium Nitrate Mass

15 IMPROVE & STN Ammonium Nitrate Mass

16 IMPROVE Fine Soil Mass

17 IMPROVE & STN Fine Soil Mass

18 IMPROVE Particulate Light Extinction

19 IMPROVE Deciviews

20 IMPROVE Monthly Fine Mass Budgets

21 STN Monthly Fine Mass Budgets

22 IMPROVE Monthly Fine Mass Budgets

23

24 Trends in the Best and Worst Haze Days

25 Clear Day Deciview Trend 1995-2004 http://www2.nature.nps.gov/air/Pubs/pdf/gpra/Gpra2005_Report_03202006_Final.pdf

26 Hazy Day Deciview Trend 1995-2004 http://www2.nature.nps.gov/air/Pubs/pdf/gpra/Gpra2005_Report_03202006_Final.pdf

27 Speciated Coarse Mass

28 Coarse Mass

29 Fine Mass

30 Coarse Mass Fraction

31 Fine Mass Fraction

32 Review of Aerosol Optical Properties Derived from IMROVE Particulate and Optical Data

33 Inorganic Light Extinction Efficiencies Organic bext efficiency = (density inorganic / density organic) * inorganic bext efficiency

34 Coarse Mass Efficiency Derived from Transmissometer and Particulate data

35 Other NPS/CIRA Work

36 Seasonal Contemporary and Fossil C (  g/m 3 ) The error bars represent the range in six day concentrations

37 Seasonal Fraction Contemporary Carbon The error bars represent the fraction contemporary range

38 Urban Excess Puget Sound, WA - Mount Rainier, WA Puget Sound fossil carbon is primarily due to local sources during winter and summer Puget Sound fossil carbon is primarily due to local sources during winter and summer Summer biogenic carbon is regionally distributed Summer biogenic carbon is regionally distributed ~40% of the winter urban excess is biogenic carbon ~40% of the winter urban excess is biogenic carbon Not all biogenic carbon is “natural” Not all biogenic carbon is “natural”

39 Urban Excess Phoenix, AZ – Tonto, AZ Phoenix fossil carbon is primarily due to local sources during winter and summer Phoenix fossil carbon is primarily due to local sources during winter and summer Summer biogenic carbon is regionally distributed Summer biogenic carbon is regionally distributed About half of the winter urban excess is biogenic carbon About half of the winter urban excess is biogenic carbon Not all biogenic carbon is “natural” Not all biogenic carbon is “natural”

40 Hygroscopicity of Smoke

41

42 Finished

43 IMPROVE Light Absorbing Carbon Mass

44 IMPROVE & STN Light Absorbing Carbon

45 CM

46 %SO4

47

48 % OMC

49

50 % NO3

51

52 % LAC

53

54 % Soil

55

56 SO4 extinction

57 OMC extinction

58 NO3 extinction

59 LAC extinction

60 Soil extinction

61 CM extinction

62 STN IMPROVE East STN IMPROVE

63 STN Northwest

64 Southwest STN IMPROVE

65 STN IMPROVE East

66 STN IMPROVE Northwest

67 Southwest

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