TY - JOUR
T1 - WRF Large-eddy Simulations of chemical tracer deposition and seeding effect over complex terrain from ground- and aircraft-based AgI generators
AU - Xue, Lulin
AU - Edwards, Ross
AU - Huggins, Arlen
AU - Lou, Xiaofeng
AU - Rasmussen, Roy
AU - Tessendorf, Sarah
AU - Holbrook, Pat
AU - Blestrud, Derek
AU - Kunkel, Melvin
AU - Glenn, Brandal
AU - Parkinson, Shaun
N1 - Publisher Copyright:
© 2017
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Two ground-based and two airborne cloud seeding events between 2003 and 2005 from a trace chemistry field experiment conducted by the Desert Research Institute (DRI) in the Payette river basin of Idaho are simulated by the Weather Research and Forecasting (WRF) model in Large Eddy Simulation (LES) mode with a grid spacing of 667-m using the recently developed Wintertime silver iodide (AgI) Seeding Parameterization (WASP, Xue et al., 2013a,b). The WASP in WRF was specifically modified to simulate the emissions of both AgI and Indium oxide (In2O3) particles from ground- and aircraft-based generators and the associated interactions with hydrometeors. Validations of model results against available observations from soundings and SNOwpack TELemetry (SNOTEL) data show that WRF simulations reasonably capture the dynamics, the thermodynamics, and the precipitation patterns. The comparisons of deposited Ag and In concentrations between model results and observations, and the analyses of seeding effects and AgI seeding efficiencies show that: The simulated Ag mass concentrations inside the snow are similar to observations ranging mostly from 0 to 10 −9 kg kg −1 and have high spatial correlations with observations in ground seeding cases (∼ 80%) but lower in airborne seeding (∼ 40%). The simulated Ag/In ratios range between 60 and 600 indicating that ice nucleation of AgI particle dominates the scavenging of AgI in incorporating Ag into the snow. The overall simulated seeding effect of the four cases is 6% increase in precipitation over the LES domain, which is similar to what was inferred from the observations for the entire experiment. The magnitude of the AgI seeding efficiency is one order higher in airborne seeding cases (∼ 1010 kg kg −1) compared to ground seeding cases (∼ 109 kg kg −1).
AB - Two ground-based and two airborne cloud seeding events between 2003 and 2005 from a trace chemistry field experiment conducted by the Desert Research Institute (DRI) in the Payette river basin of Idaho are simulated by the Weather Research and Forecasting (WRF) model in Large Eddy Simulation (LES) mode with a grid spacing of 667-m using the recently developed Wintertime silver iodide (AgI) Seeding Parameterization (WASP, Xue et al., 2013a,b). The WASP in WRF was specifically modified to simulate the emissions of both AgI and Indium oxide (In2O3) particles from ground- and aircraft-based generators and the associated interactions with hydrometeors. Validations of model results against available observations from soundings and SNOwpack TELemetry (SNOTEL) data show that WRF simulations reasonably capture the dynamics, the thermodynamics, and the precipitation patterns. The comparisons of deposited Ag and In concentrations between model results and observations, and the analyses of seeding effects and AgI seeding efficiencies show that: The simulated Ag mass concentrations inside the snow are similar to observations ranging mostly from 0 to 10 −9 kg kg −1 and have high spatial correlations with observations in ground seeding cases (∼ 80%) but lower in airborne seeding (∼ 40%). The simulated Ag/In ratios range between 60 and 600 indicating that ice nucleation of AgI particle dominates the scavenging of AgI in incorporating Ag into the snow. The overall simulated seeding effect of the four cases is 6% increase in precipitation over the LES domain, which is similar to what was inferred from the observations for the entire experiment. The magnitude of the AgI seeding efficiency is one order higher in airborne seeding cases (∼ 1010 kg kg −1) compared to ground seeding cases (∼ 109 kg kg −1).
KW - AgI cloud seeding
KW - Orographic cloud and precipitation
KW - Snow trace chemistry
KW - WRF Large Eddy Simulation
UR - https://www.scopus.com/pages/publications/85014404058
U2 - 10.1016/j.atmosres.2017.02.013
DO - 10.1016/j.atmosres.2017.02.013
M3 - Article
AN - SCOPUS:85014404058
SN - 0169-8095
VL - 190
SP - 89
EP - 103
JO - Atmospheric Research
JF - Atmospheric Research
ER -