Table 1 Observational datasets used in this study along with their locations and sample collection dates. Single dates indicate that data was used from a single day of the campaign.

From: Biomass burning aerosols in most climate models are too absorbing

Acronym

Data source

Collection date(s)

Source region

Reference

ARCTAS_2008

Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS)

2008/07/01

Saskatchewan, Canada

Jacob et al.100

DC3_2012

Deep Convective Clouds and Chemistry (DC3)

2012/06/22

Colorado, USA

Barth et al.101

GoAmazon_2014

Green Ocean Amazon (GoAmazon)

2014/09/30-10/01

Manaus, Brazil

Martin et al.102

Grieshop_2017

Grieshop et al.103

2011/09 – 2012/08

Karnataka State, India

Grieshop et al.103

Liu_2014

Fire Laboratory at Missoula Experiment 4 (FLAME-4)

2012/10-11

Global

Liu et al.95

ORACLES_2016

Observations Above Clouds and their Interactions (ORACLES)

2016/09/02

Southern Africa

Zuidema et al.104

Pokhrel_2016

Fire Laboratory at Missoula Experiment 4 (FLAME-4)

2012/11/15-16

Global

Pokhrel et al.94

SEAC4RS_2013

Studies of Emissions and Atmospheric Composition, Clouds and Climate coupling by Regional Surveys (SEAC4RS)

  

Toon et al.105

SEAC4RS_BW_2013

Big Windy Fire

2013/08/06

Oregon, USA

 

SEAC4RS_RF_2013

Rim Fire

2013/08/26

California, USA

 

Stockwell_2016

Stockwell et al.55

2015/09/05-06

Central Kalimantan, Indonesia

Stockwell et al.55

UWML_2017

University of Wyoming Mobile Lab

  

Foster et al.93

UWMLCA_2017

 

2017/10/13-17

California, USA

 

UWMLMT_2017

 

2017/08/27-29

Montana, USA

 

Welgegund_2011

Vakkari et al.66Vakkari et al.97

2010/09/01-2011/08/16

North West Province, South Africa

Vakkari et al.66Vakkari et al.97

Yokelson_2009

Megacity Initiative Local and Global Research Observations (MILAGRO)

2006/03/23

Yucatan Peninsula, Mexico

Yokelson et al.65