GoAmazon2014/5 Overview of AMS Collection Efficiency

Suzane de Sá, Joel de Brito, Samara Carbone, John Shilling, Brett Palm, Doug Day, Pedro Campuzano-Jost, Jose-Luis Jimenez, Paulo

Artaxo, Liz Alexander, Scot Martin

AMS Clinic, Boulder, CO June 18 2015

GoAmazon2014/5

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Prevailing wind

G1

GoAmazon2014/5

GoAmazon2014/5 T0a (ATTO) T2 (Tiwa Hotel) T3 (Manacapuru)

4

____________ T0a (ATTO)

5

Dry season 2014 (Aug-Dec)

Samara Carbone, Joel de Brito

SMPS size range: dm = 9 to 445 nm (ρorg = 1.50 g/cm3)

1:1

Wet season 2015 (Jan-Mar)

ACSM+BC vs SMPS, slope = 0.69 ACSM+BC vs SMPS, slope = 0.84

It seems that Jan and part of Feb could be in the transition between the dry/2014 and the wet/2015 conditions, assuming the Org density is similar for both seasons.

Samara Carbone, Joel de Brito

(ρorg = 1.50 g/cm3)

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1:1

____________ T2 (Tiwa)

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IOP1 and IOP2 at T2

Joel de Brito

Wet season 2014 Dry season 2014

(ρorg = 1.43 g/cm3)

(ρorg = 1.53 g/cm3)

9

1:1

____________ T3 (Manacapuru)

10

IOP1: Wet season 2014

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(ρorg = 1.46 g/cm3)

Suzane de Sá

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CU SMPS MAOS SMPS

IOP1: Wet season 2014

(ρorg = 1.46 g/cm3)

(CU) (MAOS)

Suzane de Sá

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IOP2: Dry season 2014

(ρorg = 1.47 g/cm3)

Suzane de Sá

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Suzane de Sá

IOP2: Dry season 2014

(ρorg = 1.47 g/cm3)

(CU) (MAOS)

____________ G1 (Aircraft)

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IOP1: Wet season 2014 • FIMS data suggests AMS CE is ~0.4.

10

8

6

4

2

0

FIM

S V

olu

me

543210

AMS Volume

fit slope=2.45(CE=0.41) CE=0.5

CE=1

John Shilling

• Assume organic density of 1.3 g/cm3. • FIMS data:

- Used as received from Jian Wang. Looks like bad data are removed. - Aerosol dried with Nafion dryer.

• FIMS size range is 0.02 - 0.5 um (mobility diameter).

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• UHSAS data suggests CE slightly larger than 0.5. 10

8

6

4

2

0

UH

SA

S V

olu

me

543210

AMS Volume

fit slope=2.02(CE=0.5)

CE=0.5

CE=1

John Shilling

• UHSAS size range is 0.07 – 1.134 um (optical diameter).

• Assume organic density of 1.3 g/cm3. • UHSAS data:

- Calibrated to PSLs? QC’ed? - Aerosol is not dried. - Fit is biased by small number of large UHSAS volume values. Fit will change depending on how these potential outliers are removed.

IOP1: Wet season 2014

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UHSAS data was preliminary and has since been updated!

Summary of CE values for GoAmazon2014/5

Location Wet season Dry season

T0a (ATTO) 1 * 0.5

T2 (Tiwa) 0.5 0.5

T3 (Manacapuru) 1 ~0.5, CDCE

G1 (aircraft) 0.5 0.5

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*Wet season 2015, all other values refer to 2014

Previous data points for the story... Location Season CE Reference

T0t (TT34) Wet (AMAZE-08) 1 Chen et al., 2009

T0t (TT34) Dry (Aug-Dec 2013) 0.5 Unpublished

Rondônia, ground Dry (SAMBBA) 1 Brito et al., 2014

Rondônia, aircraft Dry (SAMBBA) 1 Allan et al., 2014

CE of organics can vary widely from 0.2 to 1 [Alfarra et al., 2004; Matthew et al., 2008; Docherty et al., 2013] and is not (yet) parameterized.

Amazonian CE summary

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Dominant source Occurrence CE

Biogenic Wet season; remote/far-downwind locations 1

Biomass burning, mostly fresh

Dry season; close to fires or in-plume fire sampling (aircraft)

1

Biomass burning, mostly aged

Dry season; far from fires 0.5

Urban (Manaus) Either season; immediately downwind of urban areas, or in-plume sampling (aircraft)

0.5

Instead of thinking in terms of seasons… let us think in terms of dominant sources…

Several different instruments involved Link between nature of aerosol and CE assumes that there are no instrumental differences (e.g., lens transmission, SMPSs)

Scientific hypothesis is drawn; however, dataset is limited to provide further testing

CAUTION: THIS IS NOT A CE ASSIGNMENT TABLE!!

* Assuming RIEorg = 1.4 for all

Thank you for the attention!

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