Long-term hindcast for temperature, salinity and dissovled oxygen at the 31°N transect off the Changjiang estuary

The BYESbio24 model is based on a physical-biogeochemical ROMS-CoSiNE model customized for Bohai Sea, Yellow Sea and East China Sea (Zhou et al., 2017; Zhou et al., 2020; Tian et al., 2022; Meng et al., 2022a, b). Monthly averaged temperature, salinity and dissolved oxygen in August from 1998 to 2020 at a zonal transect between 122°E and 125°E off the Changjiang estuary are included.The data are in matrix format that is readable by MATLAB. The temperature, salinity and disovled oxygen at different years are stored in the mat file with the name format of "roms_xxxx_ECS_YYYY.mat". The time stamp for a specific year is stored in the variable ‘Yorig’. Temperature is stored in the variable 'ldo_temp’ in units of ℃. Salinity is stored in the variable 'ldo_salt’ in units of PSU. Dissolved oxygen concentration is stored in the variable 'ldo_oxygen’ in units of mg/L. The distance from the starting point of the transect at 122°E is stored in the variable 'ldo_dist’ in units of km. The bathymetry at each horizontal grid is stored in the variable 'ldo_hsec’ in units of m. The latitude at each horizontal grid is stored in the variable 'ldo_lat’ in units of degree. The latitude at each horizontal grid is stored in the variable 'ldo_lat’ in units of degree. The longitude at each horizontal grid is stored in the variable 'ldo_lon’ in units of degree. The water depth at each grid is stored in the variable 'ldo_ydep’ in units of m.References:Meng, Q., Zhang, W., Zhou, F., Liao, Y., Yu, P., Tang, Y., . . . Schrum, C. (2022). Water oxygen consumption rather than sediment oxygen consumption drives the variation of hypoxia on the East China Sea shelf. Journal of Geophysical Research: Biogeosciences, 127(2), e2021JG006705. doi: 10.1029/2021JG006705Meng, Q., Zhou, F., Ma, X., Xuan, J., Zhang, H., Wang, S., . . . Huang, D. (2022). Response process of coastal hypoxia to a passing typhoon in the East China Sea. Frontiers in Marine Science, 9, 892797. doi:10.3389/fmars.2022.892797Tian, D., Zhou, F., Zhang, W., Zhang, H., Ma, X., Guo, X. (2022). Effects of dissolved oxygen and nutrients from the Kuroshio on hypoxia off the Changjiang River estuary. Journal of Oceanography and Limnology, 40, 515–529 (2022). https://doi.org/10.1007/s00343-021-0440-3Zhou, F., Chai, F., Huang, D., Xue, H., Chen, J., Xiu, P., . . . Wang, K. (2017). Investigation of hypoxia off the Changjiang Estuary using a coupled model of ROMS-CoSiNE. Progress in Oceanography, 159, 237-254. doi: 10.1016/j.pocean.2017.10.008Zhou, F., Chai, F., Huang, D., Wells, M., Ma, X., Meng, Q., . . . Li, H. (2020). Coupling and Decoupling of High Biomass Phytoplankton Production and Hypoxia in a Highly Dynamic Coastal System: The Changjiang (Yangtze River) Estuary. Frontiers in Marine Science, 7, 259. doi: 10.3389/fmars.2020.00259