Analysis of feedbacks between nucleation rate, survival probability and cloud condensation nuclei formation

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Abstract

Aerosol nucleation is an important source of particle number in the atmosphere. However, in order to become cloud condensation nuclei (CCN), freshly nucleated particles must undergo significant condensational growth while avoiding coagulational scavenging. In an effort to quantify the contribution of nucleation to CCN, this work uses the GEOS-Chem-TOMAS global aerosol model to calculate changes in CCN concentrations against a broad range of nucleation rates and mechanisms. We then quantify the factors that control CCN formation from nucleation, including daily nucleation rates, growth rates, coagulation sinks, condensation sinks, survival probabilities, and CCN formation rates, in order to examine feedbacks that may limit growth of nucleated particles to CCN. Nucleation rate parameterizations tested in GEOS-Chem-TOMAS include ternary nucleation (with multiple tuning factors), activation nucleation (with two pre-factors), binary nucleation, and ion-mediated nucleation. We find that nucleation makes a significant contribution to boundary layer CCN(0.2%), but this contribution is only modestly sensitive to the choice of nucleation scheme, ranging from 49 to 78% increase in concentrations over a control simulation with no nucleation. Moreover, a two order-of-magnitude increase in the globally averaged nucleation rate (via changes to tuning factors) results in small changes (less than 10%) to global CCN(0.2%) concentrations. To explain this, we present a simple theory showing that survival probability has an exponentially decreasing dependence on the square of the condensation sink. This functional form stems from a negative correlation between condensation sink and growth rate and a positive correlation between condensation sink and coagulational scavenging. Conceptually, with a fixed condensable vapor budget (sulfuric acid and organics), any increase in CCN concentrations due to higher nucleation rates necessarily entails an increased aerosol surface area in the accumulation mode, resulting in a higher condensation sink, which lowers vapor concentrations and growth rates. As a result, slowly growing nuclei are exposed to a higher frequency of coagulational scavenging for a longer period of time, thus reducing their survival probabilities and closing a negative feedback loop that dampens the impact of nucleation on CCN. We confirm quantitatively that the decreases in survival probability predicted by GEOS-Chem-TOMAS due to higher nucleation rates are in accordance with this simple theory of survival probability. © Author(s) 2014. CC Attribution 3.0 License.

Figures

  • Table 1. Summary of previous nucleation-CCN formation studies. Values are CCN(0.2 %) except for Yu and Luo (2009) which used CCN(0.4) %.
  • Table 2. List of simulations. All eight simulations were also run at higher SOA production rates, as described in the text.
  • Figure 1. Annual-average boundary layer global distribution of N10 (a), CCN(1.0 %) (b), and CCN(0.2 %) (c) for the ternary simulation with a 10−5 tuning factor (TER5 simulation).
  • Figure 2. Global percent change in total particle number concentration (N10) surface and zonal plots. Color contours in all panels represent the percent change in number concentration between the listed nucleation simulations and the simulation with nucleation off: (a, b) binary; (c, d) Activation (A= 2× 10−6); (e, f) Ternary (10−5 factor); (g, h) Ternary.
  • Table 3. Global-average percent increases in a given nucleation simulation compared to a simulation with no nucleation. Values are averaged for boundary layer only. See also Figs. 2–3.
  • Figure 3. Global cloud condensation nuclei concentration at S = 0.2 % (CCN(0.2 %)) percent change surface and zonal plots. Color contours in all panels represent the percent change in number concentration between the various nucleation simulations and the simulation with nucleation off: (a, b) binary; (c, d) Activation (A= 2× 10−6); (e, f) Ternary (10−5 factor); (g, h) Ternary.
  • Figure 4. Global average cloud condensation nuclei concentrations in the boundary layer for all nucleation simulations. Squares represent CCN(1.0 %), and triangles show CCN(0.2 %). Panel (a) shows the base SOA simulation results while (b) shows the high SOA simulation results (extra 100 Tg yr−1). In both panels, the dashed black lines represent the CCN(1.0 %) concentrations for the simulation with no nucleation (nominally, primary particle contribution). The dash-dot black lines show the same for CCN(0.2 %). Blue lines refer to ion nucleation, black is binary, green is activation, and red is ternary.
  • Figure 5. Flowchart of microphysical feedbacks that decrease survival probability with increasing nucleation rates, limiting the formation of CCN from nucleation events.

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APA

Westervelt, D. M., Pierce, J. R., & Adams, P. J. (2014). Analysis of feedbacks between nucleation rate, survival probability and cloud condensation nuclei formation. Atmospheric Chemistry and Physics, 14(11), 5577–5597. https://doi.org/10.5194/acp-14-5577-2014

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