LAMP WRF-Chem model sensitivity to chemical schemes in simulating particulate matter concentrations and downward shortwave radiation over greenhouse-complex regions in Korea: A case study
キーワード:
WRF-Chem、 Particulate matter、 Greenhouse cultivation、 Downward shortwave radiation、 Planetary boundary layer要旨
It has been reported that fine dust (particulate matter, PM) can adversely affect greenhouse crop production by reducing incoming solar radiation and near-surface temperature, potentially increasing winter–spring management costs (e.g., supplemental lighting and heating). Here we conducted WRF-Chem simulations for a high-PM episode over the Korean Peninsula (Mar. 1–8, 2019), focusing on three major greenhouse-complex regions (Haman, Hwaseong, and Buyeo). Sensitivity experiments were performed using four chemistry/aerosol configurations based on RACM-family gas-phase chemistry; the YSU planetary boundary layer (PBL) scheme was used in the five experiments analyzed here. We evaluated simulated PM10 and PM2.5 concentrations, downward shortwave radiation, and PBL depth across experiments. All experiments reproduced the synoptic-scale long-range transport pattern from upwind China, while underestimating PM levels at the study sites. Among the tested options, the GOCART aerosol module best captured the observed temporal evolution of PM. Relative to the NO-Chem experiment, shortwave radiation decreased markedly during the peak episode (Mar. 4–7), yielding a cumulative DSWR deficit on the order of 103 Wh m−2 over large greenhouse complexes; shallow PBL conditions coincided with elevated PM concentrations. These results demonstrate the sensitivity of modeled PM and radiation to chemistry configurations during the event and provide a basis for future coupling with greenhouse crop models to quantify crop-growth impacts.
参考文献
Ackermann, I.J., H. Hass, M. Memmesheimer, A. Ebel, F.S. Binkowski, and U. Shankar. 1998. Modal aerosol dynamics model for Europe: Development and first applications. Atmospheric Environment 32:2981–2999. https://doi.org/10.1016/S1352-2310(98)00006-5.
Ahmadov, R., S. McKeen, A. Robinson, R. Bahreini, A. Middlebrook, J. de Gouw, J. Meagher, E.-Y. Hsie, E. Edgerton, S. Shaw, et al. 2012. A volatility basis set model for summertime secondary organic aerosols over the eastern United States in 2006. Journal of Geophysical Research: Atmospheres 117:D06301. https://doi.org/10.1029/2011JD016831.
Charlson, R.J., S. Schwartz, J. Hales, R.D. Cess, J.J. Coakley, J. Hansen, and D. Hofmann. 1992. Climate forcing by anthropogenic aerosols. Science 255:423–430. https://doi.org/10.1126/science.255.5043.423.
Chen, F., and J. Dudhia. 2001. Coupling an advanced land surface–hydrology model with the Penn State–NCAR MM5 modeling system. Part I: Model implementation and sensitivity. Monthly Weather Review 129:569–585. https://doi.org/10.1175/1520-0493(2001)129%3C0569:CAALSH%3E2.0.CO;2.
Chin, M., R.B. Rood, S.J. Lin, J.F. Müller, and A.M. Thompson. 2000. Atmospheric sulfur cycle simulated in the global model GOCART: Model description and global properties. Journal of Geophysical Research: Atmospheres 105:24671–24687. https://doi.org/10.1029/2000JD900384.
Chin, M., P. Ginoux, S. Kinne, O. Torres, B.N. Holben, B.N. Duncan, R.V. Martin, J.A. Logan, A. Higurashi, and T. Nakajima. 2002. Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and Sun photometer measurements. Journal of the Atmospheric Sciences 59:461–483. https://doi.org/10.1175/1520-0469(2002)059%3C0461:TAOTFT%3E2.0.CO;2.
Chou, M.-D., and M.J. Suarez. 1994. An Efficient Thermal Infrared Radiation Parameterization for Use in General Circulation Models. NASA Technical Memorandum 104606, Vol. 3, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA, 85 pp. https://ntrs.nasa.gov/citations/19950009331.
Chu, J., H. Chung, G. Kang, N. Yu, and M. Kim. 2003. A study on the analyzing Northeast Asian Dust and Sand storm damages and the regional cooperation strategies. Research Reports, Korea Environment Institute. https://www.kei.re.kr/elibList.es?act=view&c_id=667800&elibName=researchreport&mid=a20403020000.
Chun, H., Y. Kwon, and Y. Woo. 2001. Countermeasures and damage appearance on low solar radiation in protected horticulture. Korean Journal of Horticultural Science & Technology 19:636–640. https://www.riss.or.kr/search/detail/DetailView.do?control_no=a06f5ff68f73cd7eb36097776a77e665&p_mat_type=1a0202e37d52c72d.
Chung, Y.S., H.-S. Kim, and Y. Chun. 2014. On large-scale transport of dust storms and anthropogenic dust-falls over East Asia observed in central Korea in 2009. Asia-Pacific Journal of Atmospheric Sciences 50:345–354. https://doi.org/10.1007/s13143-014-0021-x.
De Meij, A., E. Bossioli, C. Penard, J. Vinuesa, and I. Price. 2015. The effect of SRTM and Corine Land Cover data on calculated gas and PM10 concentrations in WRF-Chem. Atmospheric Environment 101:177–193. https://doi.org/10.1016/j.atmosenv.2014.11.033.
Dhir, B. 2016. Air pollutants and photosynthetic efficiency of plants. In: Kulshrestha, U., and P. Saxena (eds.). Plant Responses to Air Pollution. Springer, Singapore. p. 71–84. https://doi.org/10.1007/978-981-10-1201-3_7.
Fast, J.D., W.I. Gustafson, R.C. Easter, R.A. Zaveri, J.C. Barnard, E.G. Chapman, G.A. Grell, and S.E. Peckham. 2006. Evolution of ozone, particulates, and aerosol direct radiative forcing in the vicinity of Houston using a fully coupled meteorology–chemistry–aerosol model. Journal of Geophysical Research: Atmospheres 111:D21305. https://doi.org/10.1029/2005JD006721.
Forkel, R., J. Werhahn, A.B. Hansen, S. McKeen, S. Peckham, G. Grell, and P. Suppan. 2012. Effect of aerosol-radiation feedback on regional air quality–A case study with WRF/Chem. Atmospheric Environment 53:202–211. https://doi.org/10.1016/j.atmosenv.2011.10.009.
Freitas, S.R., K.M. Longo, M.F. Alonso, M. Pirre, V. Marecal, G. Grell, R. Stockler, R.F. Mello, and M. Sánchez Gácita. 2011. PREP-CHEM-SRC-1.0: a preprocessor of trace gas and aerosol emission fields for regional and global atmospheric chemistry models. Geoscientific Model Development 4(2):419–433. https://doi.org/10.5194/gmd-4-419-2011.
Gao, M., Z. Han, Z. Liu, M. Li, J. Xin, Z. Tao, J. Li, J.-E. Kang, K. Huang, X. Dong, et al. 2018. Air quality and climate change, Topic 3 of the Model Inter-Comparison Study for Asia Phase III (MICS-Asia III)–Part 1: Overview and model evaluation. Atmospheric Chemistry and Physics 18:4859–4884. https://doi.org/10.5194/acp-18-4859-2018.
Ginoux, P., M. Chin, I. Tegen, J.M. Prospero, B. Holben, O. Dubovik, and S.J. Lin. 2001. Sources and distributions of dust aerosols simulated with the GOCART model. Journal of Geophysical Research: Atmospheres 106:20255–20273. https://doi.org/10.1029/2000JD000053.
vényi(2002)]ref59 Grell, G.A., and D. Dévényi. 2002. A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophysical Research Letters 29(14):38-1–38-4. https://doi.org/10.1029/2002GL015311.
Grell, G.A., S.E. Peckham, R. Schmitz, S.A. McKeen, G. Frost, W.C. Skamarock, and B. Eder. 2005. Fully coupled ``online'' chemistry within the WRF model. Atmospheric Environment 39:6957–6975. https://doi.org/10.1016/j.atmosenv.2005.04.027.
Gupta, R., E. Somanathan, and S. Dey. 2017. Global warming and local air pollution have reduced wheat yields in India. Climatic Change 140:593–604. https://doi.org/10.1007/s10584-016-1878-8.
Haywood, J., and O. Boucher. 2000. Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review. Reviews of Geophysics 38:513–543. https://doi.org/10.1029/1999RG000078.
Hong, S.-Y., Y. Noh, and J. Dudhia. 2006. A new vertical diffusion package with an explicit treatment of entrainment processes. Monthly Weather Review 134:2318–2341. https://doi.org/10.1175/MWR3199.1.
Huang, R.-J., Y. Zhang, C. Bozzetti, K.-F. Ho, J.-J. Cao, Y. Han, K.R. Daellenbach, J.G. Slowik, S.M. Platt, F. Canonaco, et al. 2014. High secondary aerosol contribution to particulate pollution during haze events in China. Nature 514:218–222. https://doi.org/10.1038/nature13774.
Huang, X., Z. Wang, and A. Ding. 2018. Impact of aerosol-PBL interaction on haze pollution: Multiyear observational evidences in North China. Geophysical Research Letters 45:8596–8603. https://doi.org/10.1029/2018GL079239.
(1994)]ref63 Janjić, Z.I. 1994. The step-mountain eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Monthly Weather Review 122:927–945. https://doi.org/10.1175/1520-0493(1994)122%3C0927:TSMECM%3E2.0.CO;2.
Jung, M.-I., S.-W. Son, H.C. Kim, S.-W. Kim, R.J. Park, and D. Chen. 2019. Contrasting synoptic weather patterns between non-dust high particulate matter events and Asian dust events in Seoul, South Korea. Atmospheric Environment 214:116864. https://doi.org/10.1016/j.atmosenv.2019.116864.
Kim, H.-S., J.-B. Huh, P.K. Hopke, T.M. Holsen, and S.-M. Yi. 2007. Characteristics of the major chemical constituents of PM2.5 and smog events in Seoul, Korea in 2003 and 2004. Atmospheric Environment 41:6762–6770. https://doi.org/10.1016/j.atmosenv.2007.04.060.
Korea Meteorological Administration (KMA). 2010. 2010 Special Report on Abnormal Climate. KMA, Seoul, Republic of Korea. p. 33–34. (In Korean). https://www.kma.go.kr/kma/biz/climate_05.jsp.
Krug, E.C., and C.R. Frink. 1983. Acid rain on acid soil: a new perspective. Science 221:520–525. https://doi.org/10.1126/science.221.4610.520.
Lee, J.-Y., J.-S. Han, B.-J. Kong, Y.-D. Hong, J.-H. Lee, and I.-R. Chung. 2007. Variation of PM10 concentration in Seoul in association with synoptic meteorological conditions. Journal of Environmental Impact Assessment 16:351–361. https://www.kci.go.kr/kciportal/landing/article.kci?arti_id=ART001081125.
Lee, S., C.-H. Ho, and Y.-S. Choi. 2011. High-PM10 concentration episodes in Seoul, Korea: Background sources and related meteorological conditions. Atmospheric Environment 45:7240–7247. https://doi.org/10.1016/j.atmosenv.2011.08.071.
Lee, S.-J., J. Kim, M. Kang, and B. Malla-Thakuri. 2014. Numerical simulation of local atmospheric circulations in the valley of Gwangneung KoFlux sites. Korean Journal of Agricultural and Forest Meteorology 16(3):246–260. (Korean with English abstract). https://doi.org/10.5532/KJAFM.2014.16.3.246.
Lee, S.-J., J. Song, and Y.-J. Kim. 2016. The NCAM Land-Atmosphere Modeling Package (LAMP) Version 1: Implementation and evaluation. Korean Journal of Agricultural and Forest Meteorology 18(4):307–319. (Korean with English abstract). https://doi.org/10.5532/KJAFM.2016.18.4.307.
Lee, S.-J., Y.-C. Jeong, and S.-W. Yeh. 2020a. The lagged effect of anthropogenic aerosol on East Asian precipitation during the summer monsoon season. Atmosphere 11:1356. https://doi.org/10.3390/atmos11121356.
Lee, S.J., S.-J. Lee, and J.S. Koo. 2020b. Database construction of high-resolution daily meteorological and climatological database using NCAM-LAMP: sunshine hour data. Korean Journal of Agricultural and Forest Meteorology 22(3):135–143. (Korean with English abstract). https://doi.org/10.5532/KJAFM.2020.22.3.135.
Lee, H.-J., H.-Y. Jo, C.-K. Song, Y.-J. Jo, S.-Y. Park, and C.-H. Kim. 2020c. Sensitivity of simulated PM2.5 concentrations over Northeast Asia to different secondary organic aerosol modules during the KORUS-AQ campaign. Atmosphere 11:1004. https://doi.org/10.3390/atmos11091004.
Li, Z., W.M. Lau, V. Ramanathan, G. Wu, Y. Ding, M. Manoj, J. Liu, Y. Qian, J. Li, T. Zhou, et al. 2016. Aerosol and monsoon climate interactions over Asia. Reviews of Geophysics 54:866–929. https://doi.org/10.1002/2015RG000500.
Lin, Y.-L., R.D. Farley, and H.D. Orville. 1983. Bulk parameterization of the snow field in a cloud model. Journal of Climate and Applied Meteorology 22:1065–1092. https://doi.org/10.1175/1520-0450(1983)022%3C1065:BPOTSF%3E2.0.CO;2.
Madronich, S. 1987. Photodissociation in the atmosphere: 1. Actinic flux and the effects of ground reflections and clouds. Journal of Geophysical Research: Atmospheres 92:9740–9752. https://doi.org/10.1029/JD092iD08p09740.
Ministry of Agriculture, Food and Rural Affairs (MAFRA). 2019. Agriculture, Food and Rural Affairs Statistics Yearbook. MAFRA, Sejong, Republic of Korea. https://www.mafra.go.kr/bbs/home/792/566208/artclView.do.
Mlawer, E.J., S.J. Taubman, P.D. Brown, M.J. Iacono, and S.A. Clough. 1997. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. Journal of Geophysical Research: Atmospheres 102:16663–16682. https://doi.org/10.1029/97JD00237.
Moon, Y.S., Y.S. Koo, and O.J. Jung. 2014. Analysis of sensitivity to prediction of particulate matters and related meteorological fields using the WRF-Chem model during Asian dust episode days. Journal of the Korean Earth Science Society 35(1):1–18. https://doi.org/10.5467/JKESS.2014.35.1.1.
National Institute of Horticultural and Herbal Science (NIHHS). 2018. Technical information on horticultural and special crops for the utilization of research results. NIHHS, Rural Development Administration, Republic of Korea. (In Korean). https://www.nihhs.go.kr/usr/nihhs/news_Publication.do.
Park, H.Y., S. Bae, and Y.-C. Hong. 2013. PM10 exposure and non-accidental mortality in Asian populations: a meta-analysis of time-series and case-crossover studies. Journal of Preventive Medicine and Public Health 46(1):10–18. https://doi.org/10.3961/jpmph.2013.46.1.10.
Peckham, S., G. Grell, S. McKeen, R. Schmitz, M. Salzmann, S. Freitas, J. Fast, W. Gustafson, S. Ghan, and R. Zaveri. 2018. WRF-Chem Version 3.9.1.1 User's Guide. NOAA/ESRL. https://ruc.noaa.gov/wrf/wrf-chem/Users_guide.pdf.
Powers, J.G., J.B. Klemp, W.C. Skamarock, C.A. Davis, J. Dudhia, D.O. Gill, J.L. Coen, D.J. Gochis, R. Ahmadov, S.E. Peckham, et al. 2017. The weather research and forecasting model: Overview, system efforts, and future directions. Bulletin of the American Meteorological Society 98:1717–1737. https://doi.org/10.1175/BAMS-D-15-00308.1.
Rural Development Administration (RDA). 2020. Disaster protection and management technology on agricultural crops. RDA, Jeonju, Republic of Korea. (In Korean). https://www.rda.go.kr/board/board.do?mode=list&prgId=day_farmprmninfoEntry.
Rolph, G., A. Stein, and B. Stunder. 2017. Real-time Environmental Applications and Display sYstem: READY. Environmental Modelling & Software 95:210–228. https://doi.org/10.1016/j.envsoft.2017.06.025.
Rosenfeld, D., U. Lohmann, G.B. Raga, C.D. O'Dowd, M. Kulmala, S. Fuzzi, A. Reissell, and M.O. Andreae. 2008. Flood or drought: How do aerosols affect precipitation? Science 321:1309–1313. https://doi.org/10.1126/science.1160606.
Sakulyanontvittaya, T., T. Duhl, C. Wiedinmyer, D. Helmig, S. Matsunaga, M. Potosnak, J. Milford, and A. Guenther. 2008. Monoterpene and sesquiterpene emission estimates for the United States. Environmental Science & Technology 42:1623–1629. https://doi.org/10.1021/es702274e.
Schell, B., I.J. Ackermann, H. Hass, F.S. Binkowski, and A. Ebel. 2001. Modeling the formation of secondary organic aerosol within a comprehensive air quality model system. Journal of Geophysical Research: Atmospheres 106:28275–28293. https://doi.org/10.1029/2001JD000384.
Skamarock, W.C., J.B. Klemp, J. Dudhia, D.O. Gill, D.M. Barker, M.G. Duda, X.-Y. Huang, W. Wang, and J.G. Powers. 2008. A Description of the Advanced Research WRF Version 3. NCAR Technical Note NCAR/TN-475+STR, National Center for Atmospheric Research, Boulder, Colorado, USA, https://doi.org/10.5065/D68S4MVH.
So, Y.Y., S.J. Lee, S.W. Choi, and S.-J. Lee. 2020. Construction of NCAM-LAMP precipitation and soil moisture database to support landslide prediction. Korean Journal of Agricultural and Forest Meteorology 22(3):152–163. (Korean with English abstract). https://doi.org/10.5532/KJAFM.2020.22.3.152.
Song, J., S.-J. Lee, M. Kang, M. Moon, J.-H. Lee, and J. Kim. 2015. High-resolution numerical simulations with WRF/Noah-MP in Cheongmicheon farmland in Korea during the 2014 special observation period. Korean Journal of Agricultural and Forest Meteorology 17(4):384–398. (Korean with English abstract). https://doi.org/10.5532/KJAFM.2015.17.4.384.
Statistics Korea. 2019. Agricultural Area Statistics 2019. Statistics Korea, Daejeon, Republic of Korea. p. 66–67. (In Korean). https://kostat.go.kr/board.es?mid=a10301010000&bid=225.
Stein, A.F., R.R. Draxler, G.D. Rolph, B.J.B. Stunder, M.D. Cohen, and F. Ngan. 2015. NOAA's HYSPLIT atmospheric transport and dispersion modeling system. Bulletin of the American Meteorological Society 96:2059–2077. https://doi.org/10.1175/BAMS-D-14-00110.1.
Stern, R., P. Builtjes, M. Schaap, R. Timmermans, R. Vautard, A. Hodzic, M. Memmesheimer, H. Feldmann, E. Renner, R. Wolke, et al. 2008. A model inter-comparison study focussing on episodes with elevated PM10 concentrations. Atmospheric Environment 42:4567–4588. https://doi.org/10.1016/j.atmosenv.2008.01.068.
Stockwell, W.R., F. Kirchner, M. Kuhn, and S. Seefeld. 1997. A new mechanism for regional atmospheric chemistry modeling. Journal of Geophysical Research: Atmospheres 102:25847–25879. https://doi.org/10.1029/97JD00849.
Streets, D.G., Y. Wu, and M. Chin. 2006. Two-decadal aerosol trends as a likely explanation of the global dimming/brightening transition. Geophysical Research Letters 33:L15806. https://doi.org/10.1029/2006GL026471.
Tuccella, P., G. Curci, G. Visconti, B. Bessagnet, L. Menut, and R.J. Park. 2012. Modeling of gas and aerosol with WRF/Chem over Europe: Evaluation and sensitivity study. Journal of Geophysical Research: Atmospheres 117:D03303. https://doi.org/10.1029/2011JD016302.
Twomey, S. 1977. The influence of pollution on the shortwave albedo of clouds. Journal of the Atmospheric Sciences 34:1149–1152. https://doi.org/10.1175/1520-0469(1977)034%3C1149:TIOPOT%3E2.0.CO;2.
Unsworth, M.H., and D.P. Ormrod (eds.). 1982. Effects of Gaseous Air Pollution in Agriculture and Horticulture. Butterworth Scientific, London, UK.
Vallero, D.A. 2014. Fundamentals of Air Pollution. 5th ed. Academic Press, Amsterdam. https://www.sciencedirect.com/book/9780124017337/fundamentals-of-air-pollution.
Vautard, R., M. Schaap, R. Bergström, B. Bessagnet, J. Brandt, P. Builtjes, J. Christensen, C. Cuvelier, V. Foltescu, A. Graff, et al. 2009. Skill and uncertainty of a regional air quality model ensemble. Atmospheric Environment 43:4822–4832. https://doi.org/10.1016/j.atmosenv.2008.09.083.
Wang, Z., X. Pan, I. Uno, X. Chen, S. Yamamoto, H. Zheng, J. Li, and Z. Wang. 2018. Importance of mineral dust and anthropogenic pollutants mixing during a long-lasting high PM event over East Asia. Environmental Pollution 234:368–378. https://doi.org/10.1016/j.envpol.2017.11.068.
Zhang, X., Y. Wang, T. Niu, X. Zhang, S. Gong, Y. Zhang, and J. Sun. 2012. Atmospheric aerosol compositions in China: spatial/temporal variability, chemical signature, regional haze distribution and comparisons with global aerosols. Atmospheric Chemistry and Physics 12(2):779–799. https://doi.org/10.5194/acp-12-779-2012.
Zhang, X.-X., B. Sharratt, L.-Y. Liu, Z.-F. Wang, X.-L. Pan, J.-Q. Lei, S.-X. Wu, S.-Y. Huang, Y.-H. Guo, J. Li, et al. 2018. East Asian dust storm in May 2017: observations, modelling, and its influence on the Asia-Pacific region. Atmospheric Chemistry and Physics 18(11):8353–8371. https://doi.org/10.5194/acp-18-8353-2018.
Zhang, Y. 2008. Online-coupled meteorology and chemistry models: history, current status, and outlook. Atmospheric Chemistry and Physics 8:2895–2932. https://doi.org/10.5194/acp-8-2895-2008.
Zheng, B., D. Tong, M. Li, F. Liu, C. Hong, G. Geng, H. Li, X. Li, L. Peng, J. Qi, L. Yan, Y. Zhang, H. Zhao, Y. Zheng, K. He, and Q. Zhang. 2018. Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions. Atmospheric Chemistry and Physics 18(19):14095–14111. https://doi.org/10.5194/acp-18-14095-2018.
Zhong, M., E. Saikawa, Y. Liu, V. Naik, L.W. Horowitz, M. Takigawa, Y. Zhao, N.-H. Lin, and E.A. Stone. 2016. Air quality modeling with WRF-Chem v3.5 in East Asia: sensitivity to emissions and evaluation of simulated air quality. Geoscientific Model Development 9:1201–1218. https://doi.org/10.5194/gmd-9-1201-2016.
Zhou, L., X. Chen, and X. Tian. 2018. The impact of fine particulate matter (PM2.5) on China's agricultural production from 2001 to 2010. Journal of Cleaner Production 178:133–141. https://doi.org/10.1016/j.jclepro.2017.12.204.
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