Evaluation of orographic cloud seeding using a bin microphysics scheme: Two-dimensional approach

A new version of a bin microphysical scheme implemented into the Weather Research and Forecasting (WRF) Model was used to study the effect of glaciogenic seeding on precipitation formation in orographic clouds. The tracking of silver iodide (AgI) particles inside of water drops allows the proper simulation of the immersion nucleation. The ice formations by deposition, condensational freezing, and contact nucleation of AgI particles are also simulated in the scheme. Cloud formation-both stably stratified and convective-and the spread of AgI particles were simulated by idealized flow over a two-dimensional (2D) bell-shaped mountain. The results of numerical experiments show the following: (i) Only the airborne seeding enhances precipitation in stably stratified layer clouds. Seeding can reduce or enhance precipitation in convective clouds. AgI seeding can significantly affect the spatial distribution of the surface precipitation in orographic clouds. (ii) The positive seeding effect is primarily due to additional diffusional growth of AgI-nucleated ice crystals in layer clouds. In convective clouds, seeding-induced changes of both diffusion and riming processes determine the seeding effect. (iii) The seeding effect is inversely related to the natural precipitation efficiency. (iv) Bulk seeding parameterization is adequate to simulate AgI seeding impacts on wintertime orographic clouds. More uncertainties of ground-seeding effects are found between bulk and bin simulations.

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Author Geresdi, István
Xue, Lulin
Rasmussen, Roy
Publisher UCAR/NCAR - Library
Publication Date 2017-05-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-04-14T21:42:23.362528
Metadata Record Identifier edu.ucar.opensky::articles:19860
Metadata Language eng; USA
Suggested Citation Geresdi, István, Xue, Lulin, Rasmussen, Roy. (2017). Evaluation of orographic cloud seeding using a bin microphysics scheme: Two-dimensional approach. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7mp55jr. Accessed 09 June 2023.

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