Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes

Science Advances (2020)

Authors:

Johannes Mülmenstädt, Christine Nam, Marc Salzmann, Jan Kretzschmar, Tristan S L’Ecuyer, Ulrike Lohmann, Po-Lun Ma, Gunnar Myhre, David Neubauer, PHILIP STIER, Kentaroh Suzuki, Minghuai Wang, Johannes Quaas

Map Generation from Large Scale Incomplete and Inaccurate Data Labels

ArXiv 2005.10053 (2020)

Authors:

Rui Zhang, Conrad Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David Kung, Siyuan Lu

Constraining uncertainty in aerosol direct forcing

Geophysical Research Letters American Geophysical Union 47:9 (2020) e2020GL087141

Authors:

Duncan Watson-Parris, N Bellouin, Lucia Deaconu, Naj Schutgens, M Yoshioka, La Regayre, Kj Pringle, Js Johnson, Cj Smith, Ks Carslaw, Philip Stier

Abstract:

The uncertainty in present-day anthropogenic forcing is dominated by uncertainty in the strength of the contribution from aerosol. Much of the uncertainty in the direct aerosol forcing can be attributed to uncertainty in the anthropogenic fraction of aerosol in the present-day atmosphere, due to a lack of historical observations. Here we present a robust relationship between total present-day aerosol optical depth and the anthropogenic contribution across three multi-model ensembles and a large single-model perturbed parameter ensemble. Using observations of aerosol optical depth, we determine a reduced likely range of the anthropogenic component and hence a reduced uncertainty in the direct forcing of aerosol.

Constraining uncertainty in aerosol direct forcing

Geophysical Research Letters American Geophysical Union (2020)

Authors:

Duncan Watson-Parris, Nicolas Bellouin, Lucia Deaconu, Nick AJ Schutgens, Masaru Yoshioka, Leighton Anunda Regayre, Kirsty J Pringle, Jill S Johnson, Ken S Carslaw, Philip Stier

Atmospheric energy budget response to idealized aerosol perturbation in tropical cloud systems

Atmospheric Chemistry and Physics Copernicus GmbH 20:7 (2020) 4523-4544

Authors:

Guy Dagan, Philip Stier, Matthew Christensen, Guido Cioni, Daniel Klocke, Axel Seifert

Abstract:

Abstract. The atmospheric energy budget is analysed in numerical simulations of tropical cloud systems to better understand the physical processes behind aerosol effects on the atmospheric energy budget. The simulations include both shallow convective clouds and deep convective tropical clouds over the Atlantic Ocean. Two different sets of simulations, at different dates (10–12 and 16–18 August 2016), are simulated with different dominant cloud modes (shallow or deep). For each case, the cloud droplet number concentration (CDNC) is varied as a proxy for changes in aerosol concentrations without considering the temporal evolution of the aerosol concentration (for example due to wet scavenging, which may be more important under deep convective conditions). It is shown that the total column atmospheric radiative cooling is substantially reduced with CDNC in the deep-cloud-dominated case (by ∼10.0 W m−2), while a much smaller reduction (∼1.6 W m−2) is shown in the shallow-cloud-dominated case. This trend is caused by an increase in the ice and water vapour content at the upper troposphere that leads to a reduced outgoing longwave radiation, an effect which is stronger under deep-cloud-dominated conditions. A decrease in sensible heat flux (driven by an increase in the near-surface air temperature) reduces the warming by ∼1.4 W m−2 in both cases. It is also shown that the cloud fraction response behaves in opposite ways to an increase in CDNC, showing an increase in the deep-cloud-dominated case and a decrease in the shallow-cloud-dominated case. This demonstrates that under different environmental conditions the response to aerosol perturbation could be different.