TY - JOUR
T1 - Sensitivity study on storm modulation through a strategic use of consumer air conditioners
AU - Hiruma, Daisuke
AU - Onishi, Ryo
AU - Takahashi, Keiko
AU - Fukagata, Koji
N1 - Funding Information:
This research was partially supported by Science and Technology Research Partnership for Sustainable Development (SATREPS), Japan Science and Technology Agency (JST)/Japan International Cooperation Agency (JICA). The numerical simulations were conducted on the Earth Simulator of the Japan Agency for Marine-Earth Science and Technology.
Funding Information:
This research was partially supported by Science and Technology Research Partnership for Sustainable Development (SATREPS), Japan Science and Technology Agency (JST)/Japan International Cooperation Agency (JICA). The numerical simulations were conducted on the Earth Simulator of the Japan Agency for Marine‐Earth Science and Technology.
Publisher Copyright:
© 2022 The Authors. Atmospheric Science Letters published by John Wiley & Sons Ltd on behalf of Royal Meteorological Society.
PY - 2022/7
Y1 - 2022/7
N2 - Storm trainings, consisting of quasi-stationary band-shaped precipitation systems, bring persistent local heavy rains, often causing devastating floods and landslides. Here, we show that a strategic use of consumer air conditioners can modulate a storm downstream. We numerically reproduced a storm training that damaged the Hiroshima metropolis in Japan in 2014, and conducted experiments to test the sensitivity of the storm to the initial moisture field near the surface. We propose an empirically-derived formula for a control efficiency parameter, which can be used to estimate the impact of moisture removal on the rainfall accumulation. That formula can be different for different storms and used to assess the feasibility of modulating the target storm. It reveals that removal of half a kiloton of moisture, which could be achieved within half an hour in a city with a population of 1 million since more than one air conditioner is installed per capita in Japan, could lead to a significant reduction of the total rainfall accumulation over a 100-km2 area of heavy rain during the Hiroshima storm event. We anticipate our results, which reveal that human activity can have a significant impact on storms, will be a starting point for considering the coupling of weather and the economy, and will contribute to the development of a sustainable society.
AB - Storm trainings, consisting of quasi-stationary band-shaped precipitation systems, bring persistent local heavy rains, often causing devastating floods and landslides. Here, we show that a strategic use of consumer air conditioners can modulate a storm downstream. We numerically reproduced a storm training that damaged the Hiroshima metropolis in Japan in 2014, and conducted experiments to test the sensitivity of the storm to the initial moisture field near the surface. We propose an empirically-derived formula for a control efficiency parameter, which can be used to estimate the impact of moisture removal on the rainfall accumulation. That formula can be different for different storms and used to assess the feasibility of modulating the target storm. It reveals that removal of half a kiloton of moisture, which could be achieved within half an hour in a city with a population of 1 million since more than one air conditioner is installed per capita in Japan, could lead to a significant reduction of the total rainfall accumulation over a 100-km2 area of heavy rain during the Hiroshima storm event. We anticipate our results, which reveal that human activity can have a significant impact on storms, will be a starting point for considering the coupling of weather and the economy, and will contribute to the development of a sustainable society.
KW - control efficiency
KW - land slide
KW - numerical weather simulation
KW - storm modulation
KW - storm training
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U2 - 10.1002/asl.1091
DO - 10.1002/asl.1091
M3 - Article
AN - SCOPUS:85127586001
SN - 1530-261X
VL - 23
JO - Atmospheric Science Letters
JF - Atmospheric Science Letters
IS - 7
M1 - e1091
ER -