Numerical Simulations of Airborne Glaciogenic Cloud Seeding Using the WRF Model with the Modified Morrison Scheme over the Pyeongchang Region in the Winter of 2016

Sanghee Chae, Ki Ho Chang, Seongkyu Seo, Jin Yim Jeong, Baek Jo Kim, Chang Ki Kim, Seong Soo Yum, Jinwon Kim

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A model was developed for simulating the effects of airborne silver iodide (AgI) glaciogenic cloud seeding using the weather research and forecasting (WRF) model with a modified Morrison cloud microphysics scheme. This model was used to hindcast the weather conditions and effects of seeding for three airborne seeding experiments conducted in 2016. The spatial patterns of the simulated precipitation and liquid water path (LWP) qualitatively agreed with the observations. Considering the observed wind fields during the seeding, the simulated spatiotemporal distributions of the seeding materials, AgI, and snowfall enhancements were found to be reasonable. In the enhanced snowfall cases, the process by which cloud water and vapor were converted into ice particles after seeding was also reasonable. It was also noted that the AgI residence time (>1 hr) above the optimum AgI concentration (10 5 m -3 ) and high LWP (>100 g m -2 ) were important factors for snowfall enhancements. In the first experiment, timing of the simulated snowfall enhancement agreed with the observations, which supports the notion that the seeding of AgI resulted in enhanced snowfall in the experiment. The model developed in this study will be useful for verifying the effects of cloud seeding on precipitation.

Original languageEnglish
Article number8453460
JournalAdvances in Meteorology
Volume2018
DOIs
Publication statusPublished - 2018 Jan 1

Fingerprint

cloud seeding
Cloud seeding
inoculation
Snow
seeding
weather
forecasting
winter
Computer simulation
simulation
augmentation
Water
water
silver iodides
Experiments
Precipitation (meteorology)
Liquids
cloud microphysics
liquid
experiment

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Pollution
  • Atmospheric Science

Cite this

@article{da53a6732a2b44ae81ff66aa26b32edf,
title = "Numerical Simulations of Airborne Glaciogenic Cloud Seeding Using the WRF Model with the Modified Morrison Scheme over the Pyeongchang Region in the Winter of 2016",
abstract = "A model was developed for simulating the effects of airborne silver iodide (AgI) glaciogenic cloud seeding using the weather research and forecasting (WRF) model with a modified Morrison cloud microphysics scheme. This model was used to hindcast the weather conditions and effects of seeding for three airborne seeding experiments conducted in 2016. The spatial patterns of the simulated precipitation and liquid water path (LWP) qualitatively agreed with the observations. Considering the observed wind fields during the seeding, the simulated spatiotemporal distributions of the seeding materials, AgI, and snowfall enhancements were found to be reasonable. In the enhanced snowfall cases, the process by which cloud water and vapor were converted into ice particles after seeding was also reasonable. It was also noted that the AgI residence time (>1 hr) above the optimum AgI concentration (10 5 m -3 ) and high LWP (>100 g m -2 ) were important factors for snowfall enhancements. In the first experiment, timing of the simulated snowfall enhancement agreed with the observations, which supports the notion that the seeding of AgI resulted in enhanced snowfall in the experiment. The model developed in this study will be useful for verifying the effects of cloud seeding on precipitation.",
author = "Sanghee Chae and Chang, {Ki Ho} and Seongkyu Seo and Jeong, {Jin Yim} and Kim, {Baek Jo} and Kim, {Chang Ki} and Yum, {Seong Soo} and Jinwon Kim",
year = "2018",
month = "1",
day = "1",
doi = "10.1155/2018/8453460",
language = "English",
volume = "2018",
journal = "Advances in Meteorology",
issn = "1687-9309",
publisher = "Hindawi Publishing Corporation",

}

Numerical Simulations of Airborne Glaciogenic Cloud Seeding Using the WRF Model with the Modified Morrison Scheme over the Pyeongchang Region in the Winter of 2016. / Chae, Sanghee; Chang, Ki Ho; Seo, Seongkyu; Jeong, Jin Yim; Kim, Baek Jo; Kim, Chang Ki; Yum, Seong Soo; Kim, Jinwon.

In: Advances in Meteorology, Vol. 2018, 8453460, 01.01.2018.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Numerical Simulations of Airborne Glaciogenic Cloud Seeding Using the WRF Model with the Modified Morrison Scheme over the Pyeongchang Region in the Winter of 2016

AU - Chae, Sanghee

AU - Chang, Ki Ho

AU - Seo, Seongkyu

AU - Jeong, Jin Yim

AU - Kim, Baek Jo

AU - Kim, Chang Ki

AU - Yum, Seong Soo

AU - Kim, Jinwon

PY - 2018/1/1

Y1 - 2018/1/1

N2 - A model was developed for simulating the effects of airborne silver iodide (AgI) glaciogenic cloud seeding using the weather research and forecasting (WRF) model with a modified Morrison cloud microphysics scheme. This model was used to hindcast the weather conditions and effects of seeding for three airborne seeding experiments conducted in 2016. The spatial patterns of the simulated precipitation and liquid water path (LWP) qualitatively agreed with the observations. Considering the observed wind fields during the seeding, the simulated spatiotemporal distributions of the seeding materials, AgI, and snowfall enhancements were found to be reasonable. In the enhanced snowfall cases, the process by which cloud water and vapor were converted into ice particles after seeding was also reasonable. It was also noted that the AgI residence time (>1 hr) above the optimum AgI concentration (10 5 m -3 ) and high LWP (>100 g m -2 ) were important factors for snowfall enhancements. In the first experiment, timing of the simulated snowfall enhancement agreed with the observations, which supports the notion that the seeding of AgI resulted in enhanced snowfall in the experiment. The model developed in this study will be useful for verifying the effects of cloud seeding on precipitation.

AB - A model was developed for simulating the effects of airborne silver iodide (AgI) glaciogenic cloud seeding using the weather research and forecasting (WRF) model with a modified Morrison cloud microphysics scheme. This model was used to hindcast the weather conditions and effects of seeding for three airborne seeding experiments conducted in 2016. The spatial patterns of the simulated precipitation and liquid water path (LWP) qualitatively agreed with the observations. Considering the observed wind fields during the seeding, the simulated spatiotemporal distributions of the seeding materials, AgI, and snowfall enhancements were found to be reasonable. In the enhanced snowfall cases, the process by which cloud water and vapor were converted into ice particles after seeding was also reasonable. It was also noted that the AgI residence time (>1 hr) above the optimum AgI concentration (10 5 m -3 ) and high LWP (>100 g m -2 ) were important factors for snowfall enhancements. In the first experiment, timing of the simulated snowfall enhancement agreed with the observations, which supports the notion that the seeding of AgI resulted in enhanced snowfall in the experiment. The model developed in this study will be useful for verifying the effects of cloud seeding on precipitation.

UR - http://www.scopus.com/inward/record.url?scp=85044215797&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044215797&partnerID=8YFLogxK

U2 - 10.1155/2018/8453460

DO - 10.1155/2018/8453460

M3 - Article

AN - SCOPUS:85044215797

VL - 2018

JO - Advances in Meteorology

JF - Advances in Meteorology

SN - 1687-9309

M1 - 8453460

ER -