Improvement in Dust Storm Simulation by Considering Stone Coverage Effects for Stony Deserts in East Asia

Approximately 50% of the Earth's deserts are covered with stony surfaces, not dunes. The stony surfaces often block or diminish mineral dust aerosol emissions through area fraction and roughness element effects. Incorporating these stone coverage effects is crucial for climate and environmental...

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Veröffentlicht in:Journal of geophysical research. Atmospheres 2023-01, Vol.128 (2), p.n/a
Hauptverfasser: Sekiyama, T. T., Kurosaki, Y., Kajino, M., Ishizuka, M., Buyantogtokh, B., Wu, J., Maki, T.
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container_title Journal of geophysical research. Atmospheres
container_volume 128
creator Sekiyama, T. T.
Kurosaki, Y.
Kajino, M.
Ishizuka, M.
Buyantogtokh, B.
Wu, J.
Maki, T.
description Approximately 50% of the Earth's deserts are covered with stony surfaces, not dunes. The stony surfaces often block or diminish mineral dust aerosol emissions through area fraction and roughness element effects. Incorporating these stone coverage effects is crucial for climate and environmental modeling research. Based on our field observations, this study combined the stone coverage effects into a dust simulation model for East Asia using two regression formulas and some constants. The double regression scheme assumed that the stone roughness density could be derived from the coarse fragment fraction of the SoilGrids 2.0 data set. According to the data set, the stone coverage is higher in Western Mongolia and Dzungaria and lower in the Chinese Gobi Desert and the Loess Plateau. Consequently, the model reproduced fewer dust aerosols in the higher coverage areas and more in the lower coverage areas. This simulation result was consistent with the World Meteorological Organization's current weather reports and satellite aerosol observations. The improved model reproduced the diversity of soil erodibility and was well balanced in performance statistics. This study is the first successful investigation of stone coverage effects on dust storm simulation using a realistic stone coverage map to the authors' best knowledge. Plain Language Summary More than 50% of the Earth's deserts are covered with stones, not dunes. The stony surfaces suppress sand and dust storms in the deserts. Because the mineral dust particles globally influence climate change, investigating the stony surfaces is crucial to climate prediction research. Therefore, we developed a new simulation scheme for sand and dust storms to incorporate the stony surface effects. Formulating the stony surface effects was based on our field observations in East Asia. The global stone map we used was obtained from the SoilGrids 2.0 data set. Our simulation model reproduced fewer dust storms in higher stone coverage areas and more in lower areas. This simulation result was consistent with weather observatory observations in Mongolia and China. Satellite measurements for air pollution also backed up the simulation result. This study is the first successful investigation of the stony surface effects on dust storm simulations using a realistic stone coverage map to the authors' best knowledge. Key Points Stony surfaces of drylands significantly affect dust aerosol emissions through area fraction and roughness ele
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T. ; Kurosaki, Y. ; Kajino, M. ; Ishizuka, M. ; Buyantogtokh, B. ; Wu, J. ; Maki, T.</creator><creatorcontrib>Sekiyama, T. T. ; Kurosaki, Y. ; Kajino, M. ; Ishizuka, M. ; Buyantogtokh, B. ; Wu, J. ; Maki, T.</creatorcontrib><description>Approximately 50% of the Earth's deserts are covered with stony surfaces, not dunes. The stony surfaces often block or diminish mineral dust aerosol emissions through area fraction and roughness element effects. Incorporating these stone coverage effects is crucial for climate and environmental modeling research. Based on our field observations, this study combined the stone coverage effects into a dust simulation model for East Asia using two regression formulas and some constants. The double regression scheme assumed that the stone roughness density could be derived from the coarse fragment fraction of the SoilGrids 2.0 data set. According to the data set, the stone coverage is higher in Western Mongolia and Dzungaria and lower in the Chinese Gobi Desert and the Loess Plateau. Consequently, the model reproduced fewer dust aerosols in the higher coverage areas and more in the lower coverage areas. This simulation result was consistent with the World Meteorological Organization's current weather reports and satellite aerosol observations. The improved model reproduced the diversity of soil erodibility and was well balanced in performance statistics. This study is the first successful investigation of stone coverage effects on dust storm simulation using a realistic stone coverage map to the authors' best knowledge. Plain Language Summary More than 50% of the Earth's deserts are covered with stones, not dunes. The stony surfaces suppress sand and dust storms in the deserts. Because the mineral dust particles globally influence climate change, investigating the stony surfaces is crucial to climate prediction research. Therefore, we developed a new simulation scheme for sand and dust storms to incorporate the stony surface effects. Formulating the stony surface effects was based on our field observations in East Asia. The global stone map we used was obtained from the SoilGrids 2.0 data set. Our simulation model reproduced fewer dust storms in higher stone coverage areas and more in lower areas. This simulation result was consistent with weather observatory observations in Mongolia and China. Satellite measurements for air pollution also backed up the simulation result. This study is the first successful investigation of the stony surface effects on dust storm simulations using a realistic stone coverage map to the authors' best knowledge. Key Points Stony surfaces of drylands significantly affect dust aerosol emissions through area fraction and roughness element effects A dust simulation model incorporated the stone coverage effects with an actual soil/stone map The conversion function from the stone coverage to the stone roughness density was derived from field observations in the Gobi Desert</description><identifier>ISSN: 2169-897X</identifier><identifier>EISSN: 2169-8996</identifier><identifier>DOI: 10.1029/2022JD037295</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>aerosol modeling ; Aerosol observations ; Aerosols ; Air pollution ; Air pollution measurements ; Atmospheric particulates ; Climate change ; Climate change influences ; Climate models ; Climate prediction ; Constants ; Datasets ; Deserts ; drylands ; Dunes ; Dust ; Dust effects ; dust emission ; Dust particles ; Dust storms ; Earth ; Emissions ; Environment models ; Environmental modeling ; Geophysics ; Modelling ; Roughness ; roughness element ; Sand ; sand saltation ; Satellite observation ; Satellites ; Simulation ; Simulation models ; Soil erodibility ; Soil erosion ; Statistical methods ; Stone ; Storms ; Weather</subject><ispartof>Journal of geophysical research. 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The double regression scheme assumed that the stone roughness density could be derived from the coarse fragment fraction of the SoilGrids 2.0 data set. According to the data set, the stone coverage is higher in Western Mongolia and Dzungaria and lower in the Chinese Gobi Desert and the Loess Plateau. Consequently, the model reproduced fewer dust aerosols in the higher coverage areas and more in the lower coverage areas. This simulation result was consistent with the World Meteorological Organization's current weather reports and satellite aerosol observations. The improved model reproduced the diversity of soil erodibility and was well balanced in performance statistics. This study is the first successful investigation of stone coverage effects on dust storm simulation using a realistic stone coverage map to the authors' best knowledge. Plain Language Summary More than 50% of the Earth's deserts are covered with stones, not dunes. The stony surfaces suppress sand and dust storms in the deserts. Because the mineral dust particles globally influence climate change, investigating the stony surfaces is crucial to climate prediction research. Therefore, we developed a new simulation scheme for sand and dust storms to incorporate the stony surface effects. Formulating the stony surface effects was based on our field observations in East Asia. The global stone map we used was obtained from the SoilGrids 2.0 data set. Our simulation model reproduced fewer dust storms in higher stone coverage areas and more in lower areas. This simulation result was consistent with weather observatory observations in Mongolia and China. Satellite measurements for air pollution also backed up the simulation result. This study is the first successful investigation of the stony surface effects on dust storm simulations using a realistic stone coverage map to the authors' best knowledge. 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Incorporating these stone coverage effects is crucial for climate and environmental modeling research. Based on our field observations, this study combined the stone coverage effects into a dust simulation model for East Asia using two regression formulas and some constants. The double regression scheme assumed that the stone roughness density could be derived from the coarse fragment fraction of the SoilGrids 2.0 data set. According to the data set, the stone coverage is higher in Western Mongolia and Dzungaria and lower in the Chinese Gobi Desert and the Loess Plateau. Consequently, the model reproduced fewer dust aerosols in the higher coverage areas and more in the lower coverage areas. This simulation result was consistent with the World Meteorological Organization's current weather reports and satellite aerosol observations. The improved model reproduced the diversity of soil erodibility and was well balanced in performance statistics. This study is the first successful investigation of stone coverage effects on dust storm simulation using a realistic stone coverage map to the authors' best knowledge. Plain Language Summary More than 50% of the Earth's deserts are covered with stones, not dunes. The stony surfaces suppress sand and dust storms in the deserts. Because the mineral dust particles globally influence climate change, investigating the stony surfaces is crucial to climate prediction research. Therefore, we developed a new simulation scheme for sand and dust storms to incorporate the stony surface effects. Formulating the stony surface effects was based on our field observations in East Asia. The global stone map we used was obtained from the SoilGrids 2.0 data set. Our simulation model reproduced fewer dust storms in higher stone coverage areas and more in lower areas. This simulation result was consistent with weather observatory observations in Mongolia and China. Satellite measurements for air pollution also backed up the simulation result. This study is the first successful investigation of the stony surface effects on dust storm simulations using a realistic stone coverage map to the authors' best knowledge. 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source Wiley Online Library Journals Frontfile Complete; Alma/SFX Local Collection
subjects aerosol modeling
Aerosol observations
Aerosols
Air pollution
Air pollution measurements
Atmospheric particulates
Climate change
Climate change influences
Climate models
Climate prediction
Constants
Datasets
Deserts
drylands
Dunes
Dust
Dust effects
dust emission
Dust particles
Dust storms
Earth
Emissions
Environment models
Environmental modeling
Geophysics
Modelling
Roughness
roughness element
Sand
sand saltation
Satellite observation
Satellites
Simulation
Simulation models
Soil erodibility
Soil erosion
Statistical methods
Stone
Storms
Weather
title Improvement in Dust Storm Simulation by Considering Stone Coverage Effects for Stony Deserts in East Asia
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