Table 1 Mean values of roundness, convexity and area equivalent diameter (DAeq) of ambient and laboratory soot particles (soot category C0 and C1).

From: Extensive Soot Compaction by Cloud Processing from Laboratory and Field Observations

Convexity

Roundness

DAeq [nm]

Sampling location, probable dominant source (sampling date, estimated sample age*)

Potential for cloud processing

N

Literature

0.56

0.29

239

Michigan Tech Pi Chamber, interstitial kerosene soot (January 2017, ~minutes)

low

161

This study

0.59

0.32

323

Bhaktapur, Nepal, brick kiln oven and road traffic (March 2017, ~minutes)

low

123

This study

0.63

0.36

125

West Bengal, India, urban (January 2018, ~minutes/mixed)

low

101

This study

0.65

0.38

324

Sacramento, California, urban (CARES, June 2010, ~minutes/mixed)

low

161

This study, Sharma et al.69 and Zaveri et al.52

0.70

0.40

222

Ann Arbor, Michigan, road traffic (July–August 2010, ~minutes/mixed)

low

796

China et al.54

0.70

0.41

410

Los Alamos, New Mexico, Las Conchas Fire plume (July 2011, <2 hours)

low

411

China et al.57

0.70

0.41

257

Mexico City, urban (MILAGRO, March 2006, ~minutes/mixed)

low

1601

This study and China S.85

0.71

0.41

153

Pacific Northwest National Laboratory, Washington nascent diesel soot (November 2013–January 2014, ~minutes)

low

226

China et al.17

0.71

0.43

326

Po Valley, Italy, sunny day, urban outflow and road traffic (December 2015, ~minutes/mixed)

low

109

This study

0.72

0.42

237

Cool, California, urban outflow and road traffic (CARES, June 2010, ~hours)

low

201

This study, Sharma et al.69 and Zaveri et al.52

0.75

0.45

179

Pacific Northwest National Laboratory, Washington, supercooled water droplet residuals from diesel soot (November 2013–January 2014, ~minutes)

high

208

China et al.17

0.76

0.45

330

Los Alamos, New Mexico, Whitewater-Baldy Complex Fire plume (May 2012, ~several hours)

low

55

This study and Girotto G.86

0.78

0.47

224

Detling, UK, London and Benelux outflows (January 31st, Benelux; February 2–3, London, 2012, ~several hours)

medium

1549

This study and Girotto G.86

0.78

0.48

192

Michigan Tech Pi Chamber turbulent cloud, residual kerosene soot (January 2017, ~minutes)

high

160

This study

0.80

0.52

237

Po Valley, Italy, foggy morning, urban outflow and road traffic (December 2015, ~minutes/mixed)

high

144

This study

0.83

0.55

201

Pacific Northwest National Laboratory, Washington, ice crystal residuals from diesel soot (November 2013–January 2014, ~minutes)

high

241

China et al.17

0.84

0.58

248

Pico Mountain Observatory, Azores, long range transport (July 2012, ~1 week)

high

189

China et al.18

  1. *With the term “mixed” we indicate the potential presence of soot particles carried over from earlier emissions and mixing with fresher emissions. N is the number of single soot particles analyzed.
  2. The data are sorted by increasing convexity.