Articles | Volume 19, issue 4
https://doi.org/10.5194/os-19-1107-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-19-1107-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Variability in coastal downwelling circulation in response to high-resolution regional atmospheric forcing off the Pearl River estuary
Wenfeng Lai
CORRESPONDING AUTHOR
Center for Ocean Research in Hong Kong and Macau, Department of Ocean
Science and Department of Mathematics, Hong Kong University of Science and
Technology, Hong Kong SAR, China
Jianping Gan
Center for Ocean Research in Hong Kong and Macau, Department of Ocean
Science and Department of Mathematics, Hong Kong University of Science and
Technology, Hong Kong SAR, China
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Biogeosciences, 18, 2755–2775, https://doi.org/10.5194/bg-18-2755-2021, https://doi.org/10.5194/bg-18-2755-2021, 2021
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In situ oxygen consumption rates were estimated for the first time during destruction of coastal hypoxia as disturbed by a typhoon and its reinstatement in the South China Sea off the Pearl River estuary. The reinstatement of summer hypoxia was rapid with a comparable timescale with that of its initial disturbance from frequent tropical cyclones, which has important implications for better understanding the intermittent nature of coastal hypoxia and its prediction in a changing climate.
Yanhong Lu, Shunyan Cheung, Ling Chen, Shuh-Ji Kao, Xiaomin Xia, Jianping Gan, Minhan Dai, and Hongbin Liu
Biogeosciences, 17, 6017–6032, https://doi.org/10.5194/bg-17-6017-2020, https://doi.org/10.5194/bg-17-6017-2020, 2020
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Through a comprehensive investigation, we observed differential niche partitioning among diverse ammonia-oxidizing archaea (AOA) sublineages in a typical subtropical estuary. Distinct AOA communities observed at DNA and RNA levels suggested that a strong divergence in ammonia-oxidizing activity among different AOA groups occurs. Our result highlights the importance of identifying major ammonia oxidizers at RNA level in future studies.
Hiu Suet Kung and Jianping Gan
Ocean Sci., 16, 1095–1110, https://doi.org/10.5194/os-16-1095-2020, https://doi.org/10.5194/os-16-1095-2020, 2020
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Based on a well-validated ocean circulation model, we found that near-inertial oscillations (NIOs) and near-inertial kinetic energy (KEni) varied distinctly during forcing and relaxation stages of tropical cyclone (TC) forcing, and the horizontal and vertical transport of KEni was largely modulated by the velocity and vorticity of the jet in the semi-enclosed South China Sea (SCS). This study enriches our understanding of the spatial–temporal variability of NIOs in the frequently TC-affected SCS.
Jianzhong Su, Minhan Dai, Biyan He, Lifang Wang, Jianping Gan, Xianghui Guo, Huade Zhao, and Fengling Yu
Biogeosciences, 14, 4085–4099, https://doi.org/10.5194/bg-14-4085-2017, https://doi.org/10.5194/bg-14-4085-2017, 2017
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We provide direct and quantitative assessments showing the marine organic matter from eutrophication-induced primary production dominated oxygen consumption in the hypoxic zone, while the terrestrially sourced organic matter also significantly contributed to the formation and maintenance of hypoxia in the lower Pearl River Estuary (PRE) and the adjacent coastal water.
Z. Cao, M. Dai, W. Evans, J. Gan, and R. Feely
Biogeosciences, 11, 6341–6354, https://doi.org/10.5194/bg-11-6341-2014, https://doi.org/10.5194/bg-11-6341-2014, 2014
A. Q. Han, M. H. Dai, J. P. Gan, S.-J. Kao, X. Z. Zhao, S. Jan, Q. Li, H. Lin, C.-T. A. Chen, L. Wang, J. Y. Hu, L. F. Wang, and F. Gong
Biogeosciences, 10, 8159–8170, https://doi.org/10.5194/bg-10-8159-2013, https://doi.org/10.5194/bg-10-8159-2013, 2013
Cited articles
Ágústsson, H. and Ólafsson, H.: Simulating a severe windstorm in
complex terrain, Meteorol. Z., 16, 111–122,
https://doi.org/10.1127/0941-2948/2007/0169, 2007.
Akhtar, N., Brauch, J., and Ahrens, B.: Climate modeling over the
Mediterranean Sea: impact of resolution and ocean coupling, Clim.
Dynam., 51, 933–948, https://doi.org/10.1007/s00382-017-3570-8, 2017.
Artale, V., Calmanti, S., and Sutera, A.: Thermohaline circulation
sensitivity to intermediate-level anomalies, Tellus A, 54, 159–174, https://doi.org/10.3402/tellusa.v54i2.12130, 2016.
Caldwell, P., Chin, H.-N. S., Bader, D. C., and Bala, G.: Evaluation of a
WRF dynamical downscaling simulation over California, Climatic Change, 95,
499–521, https://doi.org/10.1007/s10584-009-9583-5, 2009.
Castellari, S., Pinardi, N., and Leaman, K.: Simulation of water mass
formation processes in the Mediterranean Sea: Influence of the time
frequency of the atmospheric forcing, J. Geophys. Res.-Ocean., 105, 24157–24181, https://doi.org/10.1029/2000jc900055, 2000.
Cheng, W. Y. Y. and Steenburgh, W. J.: Evaluation of surface sensible
weather forecasts by the WRF and the Eta Models over the western United
States, Weather Forecast., 20, 812–821, https://doi.org/10.1175/waf885.1, 2005.
Collins, W., Rasch, P. J., Boville, B. A., McCaa, J., Williamson, D. L., Kiehl, J. T., Briegleb, B. P., Bitz, C., Lin, S.-J., Zhang, M., and Dai, Y.: Description of the NCAR Community Atmosphere Model (CAM 3.0) (No. NCAR/TN-464+STR), University Corporation for Atmospheric Research, https://doi.org/10.5065/D63N21CH, 2004.
Egbert, G. D. and Erofeeva, S. Y.: Efficient inverse Modeling of barotropic
ocean tides, J. Atmos. Ocean. Technol., 19, 183–204,
https://doi.org/10.1175/1520-0426(2002)019<0183:eimobo>2.0.co;2, 2002.
Gan, J. P., Ho, H. S., and Liang, L. L.: Dynamics of Intensified Downwelling
Circulation over a Widened Shelf in the Northeastern South China Sea,
J. Phys. Oceanogr., 43, 80–94, https://doi.org/10.1175/jpo-d-12-02.1, 2013.
Gan, J. P., Wang, J. J., Liang, L. L., Li, L., and Guo, X. G.: A modeling
study of the formation, maintenance, and relaxation of upwelling circulation
on the Northeastern South China Sea shelf, Deep-Sea Res. Pt. II, 117, 41–52, https://doi.org/10.1016/j.dsr2.2013.12.009, 2015.
Hohenegger, C., Brockhaus, P., and Schar, C.: Towards climate simulations at
cloud-resolving scales, Meteorol. Z., 17, 383–394,
https://doi.org/10.1127/0941-2948/2008/0303, 2008.
Hong, S.-Y., Kim, J.-H., Lim, J.-O., and Dudhia, J.: The WRF single moment
microphysics scheme (WSM), J. Korean Meteor. Soc., 42,
129–151, 2006a.
Hong, S. Y., Noh, Y., and Dudhia, J.: A new vertical diffusion package with
an explicit treatment of entrainment processes, Mon. Weather Rev., 134,
2318–2341, https://doi.org/10.1175/mwr3199.1, 2006b.
Jung, T., Serrar, S., and Wang, Q.: The oceanic response to mesoscale
atmospheric forcing, Geophys. Res. Lett., 41, 1255–1260,
https://doi.org/10.1002/2013gl059040, 2014.
Kourafalou, V. and Tsiaras, K.: A nested circulation model for the North Aegean Sea, Ocean Sci., 3, 1–16, https://doi.org/10.5194/os-3-1-2007, 2007.
Lai, W. F.: ilai/PRE_OS: PRE high-resolution paper in OS, Zenodo [data set], https://doi.org/10.5281/zenodo.8051261, 2023.
Lai, W. F. and Gan, J. P.: Impacts of high-resolution atmospheric forcing
and air-sea coupling on coastal ocean circulation off the Pearl River
Estuary, Estuar. Coast. Shelf S., 278, 108091,
https://doi.org/10.1016/j.ecss.2022.108091, 2022.
Lai, W. F., Pan, J. Y., and Devlin, A. T.: Impact of tides and winds on
estuarine circulation in the Pearl River Estuary, Cont. Shelf
Res., 168, 68–82, https://doi.org/10.1016/j.csr.2018.09.004, 2018.
Lai, W. F., Gan, J. P., Liu, Y., Liu, Z. Q., Xie, J. P., and Zhu, J.:
Assimilating In Situ and Remote Sensing Observations in a Highly Variable
Estuary-Shelf Model, J. Atmos. Ocean. Technol., 38,
459–479, https://doi.org/10.1175/jtech-d-20-0084.1, 2021.
Langlais, C., Barnier, B., Molines, J. M., Fraunié, P., Jacob, D., and
Kotlarski, S.: Evaluation of a dynamically downscaled atmospheric reanalyse
in the prospect of forcing long term simulations of the ocean circulation in
the Gulf of Lions, Ocean Model., 30, 270–286,
https://doi.org/10.1016/j.ocemod.2009.07.004, 2009.
Liu, Z., Zu, T., and Gan, J.: Dynamics of cross-shelf water exchanges off
Pearl River Estuary in summer, Prog. Oceanogr., 189, 102465,
https://doi.org/10.1016/j.pocean.2020.102465, 2020.
Liu, Z. Q. and Gan, J. P.: A modeling study of estuarine-shelf circulation
using a composite tidal and subtidal open boundary condition, Ocean
Model., 147, 101563, https://doi.org/10.1016/j.ocemod.2019.101563, 2020.
Mertz, G. and Wright, D. G.: Interpretations of the Jebar term, J.
Phys. Oceanogr., 22, 301–305, https://doi.org/10.1175/1520-0485(1992)022<0301:Iotjt>2.0.Co;2, 1992.
Michalakes, J.: Design of a next-generation regional weather research and forecast model, Illinois, https://digital.library.unt.edu/ark:/67531/metadc628131/ (last access: 16 July 2023), 1999.
Myksvoll, M. S., Sundby, S., Ådlandsvik, B., and Vikebø, F. B.:
Retention of Coastal Cod Eggs in a Fjord Caused by Interactions between Egg
Buoyancy and Circulation Pattern, Mar. Coast. Fish., 3, 279–294,
https://doi.org/10.1080/19425120.2011.595258, 2011.
Pan, J. Y., Lai, W. F., and Devlin, A. T.: Channel-Trapped Convergence and
Divergence of Lateral Velocity in the Pearl River Estuary: Influence of
Along-Estuary Variations of Channel Depth and Width, J. Geophys.
Res.-Ocean., 125, e2019JC015369, https://doi.org/10.1029/2019jc015369, 2020.
Pullen, J.: Coupled ocean-atmosphere nested modeling of the Adriatic Sea
during winter and spring 2001, J. Geophys. Res., 108, 2003JC001780,
https://doi.org/10.1029/2003jc001780, 2003.
Shchepetkin, A. F. and McWilliams, J. C.: The regional oceanic modeling
system (ROMS): a split-explicit, free-surface,
topography-following-coordinate oceanic model, Ocean Model., 9, 347–404,
https://doi.org/10.1016/j.ocemod.2004.08.002, 2005.
Singh, J., Singh, N., Ojha, N., Sharma, A., Pozzer, A., Kiran Kumar, N., Rajeev, K., Gunthe, S. S., and Kotamarthi, V. R.: Effects of spatial resolution on WRF v3.8.1 simulated meteorology over the central Himalaya, Geosci. Model Dev., 14, 1427–1443, https://doi.org/10.5194/gmd-14-1427-2021, 2021.
Small, R. J., Curchitser, E., Hedstrom, K., Kauffman, B., and Large, W. G.:
The Benguela Upwelling System: Quantifying the Sensitivity to Resolution and
Coastal Wind Representation in a Global Climate Model, J. Clim.,
28, 9409–9432, https://doi.org/10.1175/jcli-d-15-0192.1, 2015.
Song, Y. and Haidvogel, D.: A semiimplicit ocean circulation model using a
generalized topography-following coordinate system, J. Comput.
Phys., 115, 228–244, https://doi.org/10.1006/jcph.1994.1189, 1994.
Tewari, M., Chen, F., Wang, W., Dudhia, J., LeMone, M. A., Mitchell, K., Ek, M., Gayno, G., Wegiel, J., and Cuenca, R. H.:
Implementation and verification of the unified noah land surface model in the WRF model [presentation], in: 20th Conference on Weather Analysis and Forecasting/16th Conference on Numerical Weather Prediction, 11–15, http://n2t.net/ark:/85065/d7fb523p (last access: 23 March 2022), 2004.
Xie, L. and Eggleston, D. B.: Computer simulations of wind-induced estuarine
circulation patterns and estuary-shelf exchange processes: The potential
role of wind forcing on larval transport, Estuar. Coast. Shelf
S., 49, 221–234, https://doi.org/10.1006/ecss.1999.0498, 1999.
Zhang, C. X. and Wang, Y. Q.: Projected Future
Changes of Tropical Cyclone Activity over the Western North and South
Pacific in a 20 km-Mesh Regional Climate Model, J. Clim., 30,
5923–5941, https://doi.org/10.1175/jcli-d-16-0597.1, 2017.
Zu, T. and Gan, J.: A numerical study of coupled estuary–shelf circulation
around the Pearl River Estuary during summer: Responses to variable winds,
tides and river discharge, Deep-Sea Res. Pt. II, 117, 53–64, https://doi.org/10.1016/j.dsr2.2013.12.010, 2015.
Zu, T., Wang, D., Gan, J., and Guan, W.: On the role of wind and tide in
generating variability of Pearl River plume during summer in a coupled wide
estuary and shelf system, J. Mar. Syst., 136, 65–79,
https://doi.org/10.1016/j.jmarsys.2014.03.005, 2014.
Short summary
Our study shows a high-resolution regional atmospheric model improves near-surface wind and air temperature simulation, resulting in improved circulation and hydrographic simulations in the Pearl River estuary. High-resolution wind forcing is critical for coastal circulation and cross-isobath transport, while high-resolution heat forcing greatly improves sea surface temperature simulation. High-resolution atmospheric forcing is essential for accurately simulating dynamic coastal ocean processes.
Our study shows a high-resolution regional atmospheric model improves near-surface wind and air...