edu.ucar.opensky::articles:43882 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T17:45:17.250867 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d7p55sxk https://doi.org/10.4225/41/5993927b50f53 https Related Dataset #1 BARRA Product suite (Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia) https://doi.org/10.5065/D6N877VB https Related Dataset #2 NCEP Climate Forecast System Version 2 (CFSv2) Selected Hourly Time-Series Products Assessing glaciogenic seeding impacts in Australia's Snowy Mountains: An ensemble modeling approach 2025-07-02T00:00:00Z publication https://n2t.net/ark:/85065/d7p55sxk https://doi.org/10.5194/acp-25-6703-2025 Chen, Sisi author Xue, Lulin author Tessendorf, Sarah A. author Chubb, T. author Peace, A. author Kenyon, S. author Speirs, J. author Wolff, Jamie K. author Petzke, William author UCAR/NCAR - Library publisher Winter precipitation over Australia's Snowy Mountains provides a crucial water resource in the region. Cloud seeding has been operational to enhance snowfall and water storage. This study presents ensemble simulations to assess cloud seeding impacts across diverse meteorological conditions and evaluate associated model uncertainties. Nine seeding cases from 2016 to 2019 were simulated, with 18 ensemble members varying initialization datasets and model configurations. Two main storm categories were studied (convective vs. stratiform). Results demonstrate that simulated seeding efficacy highly depends on meteorological conditions. Stratiform cases exhibited consistent precipitation enhancement, while convective cases showed reductions and downwind shifts in precipitation. Significantly inter-member variability was also observed. Notably, simulations driven by the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia (BARRA) reanalysis dataset show better representation in supercooled liquid water. Aerosol and planetary boundary layer scheme variations also contributed to ensemble spread. The findings demonstrate the value of ensemble modeling for reliable cloud seeding assessment. Key areas are also identified for future investigations in winter cloud seeding. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication <span style="font-family:Arial;font-size:10pt;font-style:normal;" data-sheets-root="1">Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</span> None eng geoscientificInformation