Black carbon indirect radiative effects in a climate model

Ribu Cherian; Johannes Quaas; Marc Salzmann; Lorenzo Tomassini

doi:10.1080/16000889.2017.1369342

Black carbon indirect radiative effects in a climate model

Tellus B: Chemical and Physical Meteorology

Volume 69 (2017): Issue 1

By: Ribu Cherian, Johannes Quaas, Marc Salzmann and Lorenzo Tomassini

Open Access

|Jan 2017

Figures & Tables

Spatial distribution of (a) BC emissions (g m $^{-} 2$ yr $^{-} 1$ ) in 2005 and multi-year (50-year) mean (b) BC column burden (mg m $^{-} 2$ ).

Table 1.

Global-mean values of different variables from the perturbation runs (NOBCAIE and NOBC), estimated as the difference between the CTL and perturbation simulations. ‘CDNC’ denotes the cloud droplet number concentration.

Coupled run caseFixed SST caseVariableCTLCTL-NOBCAIECTL-NOBCCTLCTL-NOBCAIECDNC (10

^{10}

^{- 2}

)5.1760.09550.02234.760.03798Cloud water (mg m

^{- 2}

)0.107

- 0.0011

0.00010.0917

- 0.0002

Cloud cover (%)64.655

- 0.0727

- 0.0499

62.125

- 0.0104

Net all-sky radiation at TOA (W m

^{- 2}

)

- 1.118

- 0.1311

0.04

- 1.036

- 0.13

Temperature (K)287.14

- 0.159

0.03287.625

- 0.03

Precipitation (mm day

^{- 1}

)2.895

- 0.0035

- 0.0036

3.0560.0015Stratiform Precipitation (mm day

^{- 1}

)1.178

- 0.0052

0.00171.184

- 0.0005

Convective Precipitation (mm day

^{- 1}

)1.7170.0017

- 0.0053

1.8720.002

Zonal mean of the CDNC (10 $^{6}$ cm $^{- 3}$ ) from (a) the CTL-coupled model simulation and (b) the percentage responses from the NOBCAIE run (1-NOBCAIE/CTL).

Zonal mean of the cloud water and the cloud cover from the CTL simulation (a), (b) and percentage changes (c) and (d) from the NOBCAIE run (1-NOBCAIE/CTL).

Spatial distribution of changes (CTL-NOBCAIE) in (a) CDNC burden ( $10^{10} m^{- 2}$ ) , (b) surface temperature (K), (c) vertically integrated cloud water ( $10^{- 2} mg m^{- 2}$ ) and (d) total (convective + stratiform) rainfall ( $mm {day}^{- 1}$ ) from the coupled model simulations. Black dots indicate the grid points where the change is statistically significant at the 95% confidence level.

Global mean annual average changes in (a) surface temperature (K), and (b) rainfall ( $mm {day}^{- 1}$ ) from the coupled model simulations. Error bars indicate the 95% confidence interval on the error in the mean.

South-west monsoon season (JJAS) mean changes (CTL-NOBCAIE) in (a) CDNC burden ( $10^{10} m^{- 2}$ ), (b) surface temperature (K), (c) vertically integrated cloud water ( $10^{- 2} mg m^{- 2}$ ) and (d) total (convective + stratiform) rainfall ( $mm {day}^{- 1}$ ) over the South Asia region. Black dots indicate the grid points where the change is statistically significant at the 95% confidence level.

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DOI: https://doi.org/10.1080/16000889.2017.1369342 | Journal eISSN: 1600-0889

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Language: English

Page range: 1369342 - 1369342

Submitted on: Mar 18, 2017

Accepted on: Aug 3, 2017

Published on: Jan 1, 2017

Published by: Stockholm University Press

In partnership with: Paradigm Publishing Services

Keywords:

aerosol indirect forcing,

clouds and aerosols,

black carbon,

aerosols and particles

© 2017 Ribu Cherian, Johannes Quaas, Marc Salzmann, Lorenzo Tomassini, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 69 (2017): Issue 1

Black carbon indirect radiative effects in a climate model

Figures & Tables

Figure 1.

Table 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

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