English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

. The GOCART–Thompson microphysics scheme coupling the GOCARTaerosol model and the aerosol-aware Thompson–Eidhammer microphysics schemehas been implemented in the WRF-Chem to quantify and evaluate the effect ofdust on the ice nucleation process in the atmosphere by serving as icenuclei (IN). The performance of the GOCART–Thompson microphysics scheme insimulating the effect of dust in atmospheric ice nucleation is then evaluatedover East Asia during spring, a typical dust-intensive season, in 2012. Basedupon the dust emission reasonably reproduced by WRF-Chem, the effect of duston atmospheric cloud ice water content is well reproduced. With abundant dustparticles serving as IN, the simulated ice water mixing ratio and ice crystalnumber concentration increases by 15 and 7 % on average over the dustsource region and downwind areas during the investigated period. Thecomparison with the ice water path from satellite observations demonstrated thatthe simulation of the cloud ice profile is substantially improved by consideringthe indirect effect of dust particles in the simulations. Additionalsensitivity experiments are carried out to optimize the parameters in the icenucleation parameterization in the GOCART–Thompson microphysics scheme.Results suggest that lowering the threshold relative humidity with respect toice to 100 % for the ice nucleation parameterization leads to furtherimprovement in cloud ice simulation.

atmospheric chemistry and physics

Investigating the role of dust in ice nucleation within clouds and further effects on the regional weather system over East Asia – Part 1: model development and validation