Abstract
The effect of time-varying land cover within the intertidal zone on meteorological predictions was evaluated on the west coast of South Korea during the summer of 2020 (July 3–8). Time-varying spatial distributions of the intertidal zone were generated using a coupled atmosphere–ocean model and Landsat-8 satellite data. Meteorological simulations were conducted under two land cover conditions: time-varying (referred to as TIDE) and fixed land cover (no tidal effect) within the intertidal zone (referred to as CTRL). In general, the results of TIDE simulation exhibited good agreement with the observed meteorological data when compared to the CTRL simulations. The most significant air temperature (Temp) and relative humidity (RH) variations in the entire intertidal zone occurred during low tide in the daytime, showing an average Temp increase of + 2.0 ℃ and a RH decrease of − 9.2% compared to the CTRL simulation. Conversely, during nighttime, the Temp decreased by an average of − 0.5 ℃ and the RH increased by + 0.1%. These variations were primarily attributed to changes in the physical properties of the soil surface. Furthermore, the nighttime wind speed (WS) during low tide in the entire intertidal zone exhibited the most significant decrease, averaging − 0.4 m s−1, mainly due to an increase in surface roughness length. Conversely, daytime WS showed the slight increase, averaging 0.2 m s−1, due to an intensified Temp gradient between the intertidal zone and the open sea. This study underscores the non-negligible influence of land cover changes within the intertidal zone on meteorological conditions in inland areas.
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References
Al-Kayssi AW, Al-Karaghouli AA, Hasson AM, Beker SA (1990) Influence of soil moisture content on soil temperature and heat storage under greenhouse conditions. J Agric Eng Res 45:241–252. https://doi.org/10.1016/S0021-8634(05)80152-0
An HY, Kim YK, Jeong JH (2017) Impacts of land cover change of tidal flats on local meteorology in Gyeonggi Bay. West Sea of Korea. Atmosphere 27(4):399–409. https://doi.org/10.14191/Atmos.2017.27.4.399
An HY, Jeong JH, Kang YH, Lee HJ, Kim YK (2022) Assessing the meteorological impacts of time-varying land cover in the intertidal zone. J Geophys Res-Atmos 127(7):e2021JD034927. https://doi.org/10.1029/2021JD034927
Arnold AK, Lewis HW, Hyder P, Siddorn J, O’Dea E (2021) The sensitivity of British weather to ocean tides. Geophys Res Lett 48(3):e2020GL090732. https://doi.org/10.1029/2020GL090732
Azad MAK, Ohira SI, Oda M, Toda K (2005) On-site measurements of hydrogen sulfide and sulfur dioxide emissions from tidal flat sediments of Ariake Sea, Japan. Atmos Environ 39(33):6077–6087. https://doi.org/10.1016/j.atmosenv.2005.06.042
Bagley JE, Desai AR, Harding KJ, Snyder PK, Foley JA (2014) Drought and deforestation: has land cover change influenced recent precipitation extremes in the Amazon? J Clim 27(1):345–361. https://doi.org/10.1175/jcli-d-12-00369.1
Bleck R (2002) An oceanic general circulation model framed in hybrid isopycnic-Cartesian coordinates. Ocean Model 4(1):55–88. https://doi.org/10.1016/S1463-5003(01)00012-9
Bodenbender J, Wassmann R, Papen H, Rennenberg H (1999) Temporal and spatial variation of sulfur-gas-transfer between coastal marine sediments and the atmosphere. Atmos Environ 33(21):3487–3502. https://doi.org/10.1016/S1352-2310(98)00351-3
Castelao RM, Barth JA (2006) Upwelling around Cabo Frio, Brazil: The importance of wind stress curl. Geophys Res Lett. https://doi.org/10.1029/2005GL025182
Cellier P, Richard G, Robin P (1996) Partition of sensible heat fluxes into bare soil and the atmosphere. Agric for Meteorol 82(1–4):245–265. https://doi.org/10.1016/0168-1923(95)02328-3
Chandrasekar N, Joevivek V, Saravanan S (2013) Coastal vulnerability and shoreline changes for southern tip of India-Remote sensing and GIS approach. J Earth Sci Clim Change 4(144):2. https://doi.org/10.4172/2157-761711000144
Cho YK, Kim TW, You KW, Park LH, Moon HT, Lee SH, Youn YH (2005) Temporal and spatial variabilities in the sediment temperature on the Baeksu tidal flat Korea. Estuar Coast Shelf Sci 65(1–2):302–308. https://doi.org/10.1016/j.ecss.2005.06.010
Cho S-B, Song S-K, Shon Z-H, Moon S-H (2023) Evaluation of air quality simulation with a coupled atmosphere-ocean model: a case study on natural marine and biogenic emissions. Sci Total Environ 882:163021. https://doi.org/10.1016/j.scitotenv.2023.163021
Choi HJ, Jeong T-Y, Yoon H, Oh BY, Han YS, Hur MJ, Kang S, Kim J-G (2018) Comparative microbial communities in tidal flats sediment on Incheon, South Korea. J Gen Appl Microbiol 64(5):232–239. https://doi.org/10.2323/jgam.2017.12.007
Chow TT, Long H, Mok HY, Li KW (2011) Estimation of soil temperature profile in Hong Kong from climatic variables. Energy Build 43(12):3568–3575. https://doi.org/10.1016/j.enbuild.2011.09.026
De Leeuw G, Neele FP, Hill M, Smith MH, Vignati E (2000) Production of sea spray aerosol in the surf zone. J Geophys Res-Atmos 105(D24):29397–29409. https://doi.org/10.1029/2000JD900549
Egbert GD, Erofeeva SY (2002) Efficient inverse modeling of barotropic ocean tides. J Atmos Ocean Technol 19(2):183–204. https://doi.org/10.1175/1520-0426(2002)019%3c0183:Eimobo%3e2.0.Co;2
Guarini JM, Blanchard GF, Gros P, Harrison SJ (1997) Modelling the mud surface temperature on intertidal flats to investigate the spatio-temporal dynamics of the benthic microalgal photosynthetic capacity. Mar Ecol-Prog Ser 153:25–36. https://doi.org/10.3354/meps153025
Guinaldo T, Voldoire A, Waldman R, Saux Picart S, Roquet H (2023) Response of the sea surface temperature to heatwaves during the France 2022 meteorological summer. Ocean Sci 19(3):629–647. https://doi.org/10.5194/os-19-629-2023
Han S-B, Song S-K, Shon Z-H, Kang Y-H, Bang J-H, Oh I (2021) Comprehensive study of a long-lasting severe haze in Seoul megacity and its impacts on fine particulate matter and health. Chemosphere 268:129369. https://doi.org/10.1016/j.chemosphere.2020.129369
Han L, Zhang S, Xu F, Lü J, Lu Z, Ye G, Chen S, Xu J, Du J (2022) Simulations of sea fog case impacted by air–sea interaction over South China Sea. Front Mar Sci 9:1000051. https://doi.org/10.3389/fmars.2022.1000051
Hong JS, Moon JH, Lee JH, Pang IC (2016) Modeling the largest inflow of Changjiang freshwater into the Yellow Sea in 2012 with particle-tracking experiment. Ocean Sci J 51:549–562. https://doi.org/10.1007/s12601-016-0057-1
Iglesias Deutú J, Cuesta I, Salueña C, Moré J, Solé J (2023) Analysis and Comparison of Coupled and Uncoupled Simulations with the Coawst Model During the Gloria Storm (January 2020) in the Northwestern Mediterranean Sea. Environ Model Softw 169:105830. https://doi.org/10.1016/j.envsoft.2023.105830
Jacob R, Larson J, Ong E (2005) M×N communication and parallel interpolation in Community Climate System Model Version 3 using the model coupling toolkit. Int J High Perform Comput Appl 19(3):293–307. https://doi.org/10.1177/1094342005056116
Jankov I, Gallus WA Jr, Segal M, Koch SE (2007) Influence of initial conditions on the WRF–ARW model QPF response to physical parameterization changes. WAF 22(3):501–519. https://doi.org/10.1175/WAF998.1
Jensen TG, Shulman I, Wijesekera HW, Anderson S, Ladner S (2018) Submesoscale features and their interaction with fronts and internal tides in a high-resolution coupled atmosphere-ocean-wave model of the Bay of Bengal. Ocean Dyn 68:391–410. https://doi.org/10.1007/s10236-018-1136-x
Jeong J-H, Song S-K, Lee HW, Kim Y-K (2012) Effects of high-resolution land cover and topography on local circulations in two different coastal regions of Korea: a numerical modeling study. Meteorol Atmos Phys 118(1–2):1–20. https://doi.org/10.1007/s00703-012-0211-y
Kaliraj S, Chandrasekar N, Ramachandran KK, Srinivas Y, Saravanan S (2017) Coastal landuse and land cover change and transformations of Kanyakumari coast, India using remote sensing and GIS. Egypt J Remote Sens Space Sci 20(2):169–185. https://doi.org/10.1016/j.ejrs.2017.04.003
Kellermann A, Koh CH (1999) Korean tidal flats: the west Pacific mirror of the European Wadden Sea. Wadden Sea Newsl 1:7–8
Kim SM, Kim Y-K, An HY, Kang Y-H, Jeong J-H (2019) Impacts of local meteorology caused by tidal change in the west sea on ozone distributions in the Seoul metropolitan area. J Environ Sci Int 28(3):341–356. https://doi.org/10.5322/JESI.2019.28.3.341
Kim S, Moon JH, Kim T (2021) A coupled numerical modeling study of a sea fog case after the passage of Typhoon Muifa over the Yellow Sea in 2011. J Geophys Res Atmos 126(3):e2020JD033875. https://doi.org/10.1029/2020JD033875
Kleczek MA, Steeneveld GJ, Holtslag AA (2014) Evaluation of the weather research and forecasting mesoscale model for GABLS3: impact of boundary-layer schemes, boundary conditions and spin-up. Boundary Layer Meteorol 152(2):213–243. https://doi.org/10.1007/s10546-014-9925-3
Lam JSL, Lau AKH, Fung JCH (2006) Application of refined land-use categories for high resolution mesoscale atmospheric modelling. Bound-Layer Meteorol 119(2):263–288. https://doi.org/10.1007/s10546-005-9027-3
Lee Y-H, Ahn K-D, Lee YH (2016) Parametrization of the tidal effect for use in the Noah land-surface model: development and validation. Bound-Layer Meteor 161(3):561–574. https://doi.org/10.1007/s10546-016-0178-1
Lee Y-H, Ahn K-D, Lee YH, Eom H (2020) Implementation of tidal parameterization in the Weather Research and Forecasting (WRF) model. Terr Atmos Ocean Sci. https://doi.org/10.3319/TAO.2019.07.03.01
Lee S-B, Song S-K, Moon S-H (2022) Effect of a coupled atmosphere-ocean data assimilation on meteorological predictions in the west coastal region of Korea. J Environ Sci 31(7):617–635. https://doi.org/10.5322/JESI.2022.31.7.617
Leuliette EW, Wahr JM (1999) Coupled pattern analysis of sea surface temperature and TOPEX/Poseidon sea surface height. J Phys Oceanogr 29(4):599–611. https://doi.org/10.1175/1520-0485(1999)029%3c0599:CPAOSS%3e2.0.CO;2
Li Y, Zhu X, Sun X, Wang F (2010) Landscape effects of environmental impact on bay-area wetlands under rapid urban expansion and development policy: a case study of Lianyungang, China. Landsc Urban Plan 94(3–4):218–227. https://doi.org/10.1016/j.landurbplan.2009.10.006
Li X, Mitra C, Dong L, Yang Q (2018) Understanding land use change impacts on microclimate using Weather Research and Forecasting (WRF) model. Phys Chem Earth Parts a/b/c 103:115–126. https://doi.org/10.1016/j.pce.2017.01.017
Li Y, Chen X, Jiang X, Li J, Tian L (2019) Numerical simulations and comparative analysis for two types of storm surges in the Bohai Sea using a coupled atmosphere-ocean model. Acta Oceanol Sin 38:35–47. https://doi.org/10.1007/s13131-019-1383-9
Lichiheb N, Heuer M, Hicks BB, Saylor R, Vargas R, Vázquez-Lule A, Laurent KS, Myles L (2021) Atmospheric ammonia measurements over a coastal salt marsh ecosystem along the mid-atlantic US. J Geophys Res-Biogeosci 126(5):e2019JG005522. https://doi.org/10.1029/2019JG005522
Meyssignac B, Piecuch CG, Merchant CJ, Racault MF, Palanisamy H, MacIntosh C, Sathyendranath S, Brewin R (2017) Causes of the regional variability in observed sea level, sea surface temperature and ocean colour over the period 1993–2011. Integrative Study of the Mean Sea Level and Its Components 191–219. https://doi.org/10.1007/978-3-319-56490-6_9
Ministry of Oceans and Fisheries (2019) 2018 Tidal Flat Area Extent Survey Report, pp 39
Moon S-H (2022) Influence of hourly changes in land cover and surface physical conditions due to tides on coastal meteorology in the Yellow Sea. Master's thesis, Jeju National University.
Mooney PA, Gill DO, Mulligan FJ, Bruyère CL (2016) Hurricane simulation using different representations of atmosphere–ocean interaction: the case of Irene (2011). Atmos Sci Lett 17(7):415–421. https://doi.org/10.1002/asl.673
Nerem RS, Haines BJ, Hendricks J, Minster JF, Mitchum GT, White WB (1997) Improved determination of global mean sea level variations using TOPEX/POSEIDON altimeter data. Geophys Res Lett 24(11):1331–1334. https://doi.org/10.1029/97GL01288
Paksi LMW, Saputra AH, Fitrianti I (2021) Eight scenarios rapid update cycle effect on weather radar data assimilation WRF toward rainfall prediction in Palembang (cases study of flood events on November 12th, 2018). IOP Conf Ser: Earth Environ Sci 893(1):012038. https://doi.org/10.1088/1755-1315/893/1/012038
Park SY, Yoo JW, Song SK, Kim CH, Lee SH (2022) Numerical study on advective fog formation and its characteristic associated with cold water upwelling. PLoS ONE 17(8):e0267895. https://doi.org/10.1371/journal.pone.0267895
Qu W, Henderson-Sellers A, Pitman AJ, Chen TH, Abramopoulos F, Boone A, Chang S, Chen F, Dai Y, Dickinson RE, Dümenil L, Ek M, Gedney N, Gusev YM, Kim J, Koster R, Kowalczyk EA, Lean J, Lettenmaier D, Liang X, Mahfouf J-F, Mengelkamp H-T, Mitchell K, Nasonova ON, Noilhan J, Robock A, Rosenzweig C, Schaake J, Schlosser CA, Schulz J-P, Shmakin AB, Verseghy DL, Wetzel P, Wood EF, Yang Z-L, Zeng Q (1998) Sensitivity of latent heat flux from PILPS land-surface schemes to perturbations of surface air temperature. J Atmos Sci 55(11):1909–1927. https://doi.org/10.1175/1520-0469(1998)055%3c1909:SOLHFF%3e2.0.CO;2
Scott DB, Frail-Gauthier J, Mudie PJ (2014) Coastal wetlands of the world: geology, ecology, distribution and applications. CUP. https://doi.org/10.1017/CBO9781107296916
Simpson M, Raman S, Suresh R, Mohanty UC (2008) Urban effects of Chennai on sea breeze induced convection and precipitation. J Earth Syst Sci 117:897–909. https://doi.org/10.1007/s12040-008-0075-1
Skamarock WC, Klemp JB (2008) A time-split nonhydrostatic atmospheric model for weather research and forecasting applications. JCP 227(7):3465–3485. https://doi.org/10.1016/j.jcp.2007.01.037
Song S-K, Shon Z-H, Kim Y-K, Kang Y-H, Oh I-B, Jung C-H (2010) Influence of ship emissions on ozone concentrations around coastal areas during summer season. Atmos Environ 44(5):713–723. https://doi.org/10.1016/j.atmosenv.2009.11.010
Song S-K, Shon Z-H, Kim Y-K, Kang Y-H, Jeong J-H (2013) Influence of an enhanced traffic volume around beaches in the short period of summer on ozone. Atmos Environ 71:376–388. https://doi.org/10.1016/j.atmosenv.2013.02.003
Song S-K, Shon Z-H, Kang Y-H (2015) Comparison of impacts of aircraft emissions within the boundary layer on the regional ozone in South Korea. Atmos Environ 117:169–179. https://doi.org/10.1016/j.atmosenv.2015.07.010
Song S-K, Shon Z-H, Bae M-S, Cho S-B, Moon S-H, Kim H-S, Son Y-B, Lee C-R (2022) Effects of natural and anthropogenic emissions on the composition and toxicity of aerosols in the marine atmosphere. Sci Total Environ 806:150928. https://doi.org/10.1016/j.scitotenv.2021.150928
Strajnar B, Cedilnik J, Fettich A, Ličer M, Pristov N, Smerkol P, Jerman J (2019) Impact of two-way coupling and sea-surface temperature on precipitation forecasts in regional atmosphere and ocean models. Q J R Meteorol Soc 145(718):228–242. https://doi.org/10.1002/qj.3425
Sutil UA, Pezzi LP, Alves RDCM, Nunes AB (2019) Ocean-Atmosphere Interactions in an Extratropical Cyclone in the Southwest Atlantic Interações Oceano-Atmosfera em um Ciclone Extratropical no Atlântico Sudoeste. Anu Do Inst De Geocienc 42(1):525–535. https://doi.org/10.11137/2019_1_525_535
Thai TH, Tri DQ, Anh NX, Hoa VV, Nguyen HV, Nhat NV, Tuyet QTT, Phan HTT, Chung PH, Thang VV, Thuc TD (2023) Numerical simulation of the flood and inundation caused by typhoon Noru downstream from the Vu Gia-Thu Bon River basin. Sustainability 15(10):8203. https://doi.org/10.3390/su15108203
Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens Environ 8(2):127–150. https://doi.org/10.1016/0034-4257(79)90013-0
Wang X, Xiao X, Zou Z, Hou L, Qin Y, Dong J, Doughty RB, Chen B, Zhang X, Chen Y, Ma J, Zhao B, Li B (2020) Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine. ISPRS-J Photogramm Remote Sens 163:312–326. https://doi.org/10.1016/j.isprsjprs.2020.03.014
Warner JC, Armstrong B, He R, Zambon JB (2010) Development of a coupled ocean–atmosphere–wave–sediment transport (COAWST) modeling system. Ocean Model 35(3):230–244. https://doi.org/10.1016/j.ocemod.2010.07.010
Warner JC, Defne Z, Haas K, Arango HG (2013) A wetting and drying scheme for ROMS. Comput Geosci 58:54–61. https://doi.org/10.1016/j.cageo.2013.05.004
Wever N (2012) Quantifying trends in surface roughness and the effect on surface wind speed observations. J Geophys Res-Atmos. https://doi.org/10.1029/2011JD017118
Xinhua L, Zhenlin Z, Liping Y, Zhigao S (2016) Emissions of biogenic sulfur gases (H2S, COS) from phragmites australis coastal marsh in the Yellow River estuary of China. Chin Geogr Sci 26(6):770–778. https://doi.org/10.1007/s11769-016-0836-8
Yang S, Moon IJ, Bae HJ, Kim BM, Byun DS, Lee HY (2022a) Intense atmospheric frontogenesis by air–sea coupling processes during the passage of Typhoon Lingling captured at Ieodo Ocean Research Station. Sci Rep 12(1):15513. https://doi.org/10.1038/s41598-022-19359-2
Yang X, Zhu Z, Qiu S, Kroeger KD, Zhu Z, Covington S (2022b) Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series. Remote Sens Environ 276:113047. https://doi.org/10.1016/j.rse.2022.113047
Yoon BI, Woo SB (2015) The along-channel salinity distribution and its response to river discharge in tidally-dominated Han River Estuary, South Korea. Proc Eng 116:763–770. https://doi.org/10.1016/j.proeng.2015.08.362
Zambon JB, He R, Warner JC (2014) Tropical to extratropical: Marine environmental changes associated with Superstorm Sandy prior to its landfall. Geophys Res Lett 41(24):8935–8943. https://doi.org/10.1002/2014GL061357
Zhang K, Dong X, Liu Z, Gao W, Hu Z, Wu G (2019) Mapping tidal flats with Landsat 8 images and google earth engine: A case study of the China’s eastern coastal zone circa 2015. Remote Sens 11(8):924. https://doi.org/10.3390/rs11080924
Acknowledgements
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2020R1A2C2011081 and 2023R1A2C1002367). This research was also supported by Korea Institute of Marine Science & Technology (KIMST) funded by the Ministry of Oceans and Fisheries (RS-2023-00256330, Development of risk managing technology tackling ocean and fisheries crisis around Korean Peninsula by Kuroshio Current).
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Ko, EA., Song, SK., Moon, SH. et al. A case study on the impact of real-time land cover changes in the intertidal zone on coastal meteorological predictions using a coupled atmosphere–ocean model. Meteorol Atmos Phys 136, 14 (2024). https://doi.org/10.1007/s00703-024-01009-z
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DOI: https://doi.org/10.1007/s00703-024-01009-z