Title: First forcing estimates from the future CMIP6 scenarios of anthropogenic aerosol optical properties and an associated Twomey effect

Abstract

We present the first forcing interpretation of the future anthropogenic aerosol scenarios of CMIP6 with the simple plumes parameterisation MACv2-SP. The nine scenarios for 2015 to 2100 are based on anthropogenic aerosol emissions for use in CMIP6 (Riahi et al., 2017; Gidden et al., 2018). We use the emissions to scale the observationally informed anthropogenic aerosol optical properties and the associated effect on the cloud albedo of present-day (Fiedler et al., 2017; Stevens et al., 2017) into the future. The resulting scenarios in MACv2-SP are then ranked according to their strength in forcing magnitude and spatial asymmetries for anthropogenic aerosol. All scenarios, except SSP3-70 and SSP4-60, show a decrease in anthropogenic aerosol by 2100 with a range from 108 % to 36 % of the anthropogenic aerosol optical depth in 2015. We estimate the radiative forcing of anthropogenic aerosol from high- and low-end scenarios in the mid-2090s by performing ensembles of simulations with the atmosphere-only configuration of MPI-ESM1.2. MACv2-SP translates the CMIP6 emission scenarios for inducing anthropogenic aerosol forcing. With the implementation in our model, we obtain forcing estimates for both the shortwave instantaneous radiative forcing (RF) and the effective radiative forcing (ERF) of anthropogenic aerosol relative to 1850. Here, ERF accounts for rapid atmospheric adjustments and naturalmore » variability internal to the model. The ERF of anthropogenic aerosol for the mid-2090s ranges from -0.15 W m^-2 for SSP 1-19 to -0.54 W m^-2 for SSP 3-70, i.e. the mid-2090s ERF is 30 %–108 % of the value in the mid-2000s due to differences in the emission pathway alone. Assuming a stronger Twomey effect changes these ERFs to-0.39 and -0.92 W m^-2, respectively, which are similar to estimates obtained from models with complex aerosol parameterisations. The year-to-year standard deviations around 0.3 W m^-2 associated with natural variability highlight the necessity to average over sufficiently long time periods for estimating ERF; this is in contrast to RF that is typically well constrained after simulating just 1 year. The scenario interpretation of MACv2-SP will be used within the framework of CMIP6 and other cutting-edge scientific endeavours.« less

Authors:

Fiedler, Stephanie ^[1]; Stevens, Bjorn  ^[1];

• Search DOE PAGES for author "Stevens, Bjorn"
• Search DOE PAGES for ORCID "0000-0003-3795-0475"

Gidden, Matthew  ^[2];

• Search DOE PAGES for author "Gidden, Matthew"
• Search DOE PAGES for ORCID "0000-0003-0687-414X"

Smith, Steven J.  ^[3];

• Search DOE PAGES for author "Smith, Steven J."
• Search DOE PAGES for ORCID "0000-0003-3248-5607"

Riahi, Keywan  ^[2];

• Search DOE PAGES for author "Riahi, Keywan"
• Search DOE PAGES for ORCID "0000-0001-7193-3498"

van Vuuren, Detlef ^[4]

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+ Show Author Affiliations

1. Max Planck Institute for Meteorology, Hamburg (Germany)
2. International Institute for Applied Systems Analysis, Laxenburg (Austria)
3. Pacific Northwest National Lab. (PNNL), College Park, MD (United States)
4. Utrecht Univ., Utrecht (The Netherlands); PBL Netherlands Environmental Assessment Agency, The Hague (The Netherlands)

Publication Date:

Thu Mar 21 00:00:00 EDT 2019

Research Org.:

Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Sponsoring Org.:

USDOE

OSTI Identifier:

1507541

Report Number(s):

PNNL-SA-139734
Journal ID: ISSN 1991-9603

Grant/Contract Number:  

AC05-76RL01830

Resource Type:

Accepted Manuscript

Journal Name:

Geoscientific Model Development (Online)

Additional Journal Information:

Journal Name: Geoscientific Model Development (Online); Journal Volume: 12; Journal Issue: 3; Journal ID: ISSN 1991-9603

Publisher:

European Geosciences Union

Country of Publication:

United States

Language:

English

Subject:

54 ENVIRONMENTAL SCIENCES