Effects of high-resolution land cover and topography on local circulations in two different coastal regions of Korea: a numerical modeling study

Jeong, Ju‐Hee; Song, Sang-Keun; Lee, Hwa Woon; Kim, Yoo-Keun

doi:10.1007/s00703-012-0211-y

Cited by 14 publications

(4 citation statements)

References 32 publications

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“…Local air circulation is the basis for driving spatial dynamic variations of air pollutants locally [56], and the geographical matrix determines the local air circulation model. Local atmospheric circulations are formed due to complicated geography matrices, such as heterogeneous underlying surface, terrain fluctuation, and different land cover types [57][58][59]. Among these, terrain restricts the dynamic and thermal basis for the formation of atmospheric circulation, thereby limiting, increasing, or modifying the direction and intensity of air circulation [58].…”

Section: Mechanism Of Air Pollutant Diffusionmentioning

confidence: 99%

Response of Global Air Pollutant Emissions to Climate Change and Its Potential Effects on Human Life Expectancy Loss

Cheng

et al. 2019

Sustainability

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Geographical environment and climate change are basic factors for spatial fluctuations in the global distribution of air pollutants. Against the background of global climate change, further investigation is needed on how meteorological characteristics and complex geographical environment variations can drive spatial air pollution variations. This study analyzed the response of air pollutant emissions to climate change and the potential effects of air pollutant emissions on human health by integrating the air pollutant emission simulation model (GAINS) with 3 versions and CMIP5. The mechanism by which meteorological characteristics and geographical matrices can drive air pollution based on monitoring data at the site-scale was also examined. We found the total global emission of major air pollutants increased 1.32 times during 1970–2010. Air pollutant emissions will increase 2.89% and 4.11% in China and developed countries when the scenario of only maximum technically feasible reductions is performed (V4a) during 2020–2050. However, it will decrease 19.33% and 6.78% respectively by taking the V5a climate scenario into consideration, and precipitation variation will contribute more to such change, especially in China. Locally, the air circulation mode that is dominated by local geographical matrices and meteorological characteristics jointly affect the dilution and diffusion of air pollutants. Therefore, natural conditions, such as climate changes, meteorological characteristics and topography, play an important role in spatial air pollutant emissions and fluctuations, and must be given more attention in the processes of air pollution control policy making.

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Section: Mechanism Of Air Pollutant Diffusionmentioning

confidence: 99%

Response of Global Air Pollutant Emissions to Climate Change and Its Potential Effects on Human Life Expectancy Loss

Cheng

et al. 2019

Sustainability

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“…Previous studies primarily focused on parameterization schemes for land surface models [10,11]. Recent studies have explored the effect of land surface data on the simulation accuracy of near-surface meteorological fields through the improvement of land surface data [12][13][14][15]. In the WRF model, the default land-use information is taken from the 2001 MODIS-based land-use data, and, thus, we can investigate the possibility of improving WRF performance by applying newly acquired land-use data.…”

Section: Advances In Meteorologymentioning

confidence: 99%

Effects of Initial Drivers and Land Use on WRF Modeling for Near-Surface Fields and Atmospheric Boundary Layer over the Northeastern Tibetan Plateau

Yang

Duan

2016

Advances in Meteorology

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To improve the simulation performance of mesoscale models in the northeastern Tibetan Plateau, two reanalysis initial datasets (NCEP FNL and ERA-Interim) and two MODIS (Moderate-Resolution Imaging Spectroradiometer) land-use datasets (from 2001 and 2010) are used in WRF (Weather Research and Forecasting) modeling. The model can reproduce the variations of 2 m temperature (T2) and 2 m relative humidity (RH2), but T2 is overestimated and RH2 is underestimated in the control experiment. After using the new initial drive and land use data, the simulation precision in T2 is improved by the correction of overestimated net energy flux at surface and the RH2 is improved due to the lower T2 and larger soil moisture. Due to systematic bias in WRF modeling for wind speed, we design another experiment that includes the Jimenez subgrid-scale orography scheme, which reduces the frequency of low wind speed and increases the frequency of high wind speed and that is more consistent with the observation. Meanwhile, the new drive and land-use data lead to lower boundary layer height and influence the potential temperature and wind speed in both the lower atmosphere and the upper layer, while the impact on water vapor mixing ratio is primarily concentrated in the lower atmosphere.

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“…Numerical models have been used to explore the impact of land cover changes on meteorology and have found major changes in regional temperature and precipitation attributed to land cover changes (Bagley et al., 2014; Jeong et al., 2012; Kang et al., 2016). These studies confirmed that during high tides, albedo decreased and soil heat capacity increased.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Meteorological Impacts of Time‐Varying Land Cover in the Intertidal Zone

Jeong

Kang

et al. 2022

JGR Atmospheres

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The meteorological impacts of intertidal land cover variation during summer and winter were simulated using the weather research and forecasting (WRF) meteorological model through two experiments: a TIDE experiment with time‐varying land cover by tidal effects in the intertidal zone using a new modeling method used hourly surface boundary conditions obtained using ocean model and satellite data, and a CNTL experiment with fixed land cover in the intertidal zone using a typical WRF modeling method used to fix the surface boundary conditions. The results of the TIDE experiment were more consistent with the recorded observations, especially during high tides. During summer daytime, the sensible heat flux (SHF) became negative (downward exchanging process) in the intertidal zone due to a low sea surface temperature, which decreased the temperature and increased the water vapor mixing ratio in the intertidal zone and inland areas. The wind speeds in intertidal zones and inland areas increased due to strong sea winds at altitudes from 80 m to 1.5 km, thereby increasing the sea breeze intensity and resulting in meteorological changes in inland areas. During winter, land cover changes in the intertidal zone impacted fog formation. During nighttime high tides, the SHF became positive in the intertidal zone and the latent heat flux increased prior to fog formation. During flood tide, the relative humidity increased and wind speed decreased in the intertidal zone and coastal areas coincident with fog occurrence. Overall, meteorological changes due to tidal effects were more pronounced in the summer.

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Effects of high-resolution land cover and topography on local circulations in two different coastal regions of Korea: a numerical modeling study

Cited by 14 publications

References 32 publications

Response of Global Air Pollutant Emissions to Climate Change and Its Potential Effects on Human Life Expectancy Loss

Response of Global Air Pollutant Emissions to Climate Change and Its Potential Effects on Human Life Expectancy Loss

Effects of Initial Drivers and Land Use on WRF Modeling for Near-Surface Fields and Atmospheric Boundary Layer over the Northeastern Tibetan Plateau

Assessing the Meteorological Impacts of Time‐Varying Land Cover in the Intertidal Zone

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