Monthly average remote sensing dataset of phytoplankton pigment concentrations in the Bohai Sea, Yellow Sea and East China Sea during 1998-2020
Description
The Monthly average dataset of 16 phytoplankton pigment concentrations mainly includes chlorophyll b (Chlb), chlorophyll c2 (Chlc2), chlorophyll c3 (Chlc3), fucoxanthin (Fuco), peridinin (Perid), 19'-butanoyloxy-fucoxanthin (19'-but), 19'-hexanoyloxy-fucoxanthin (19'-hex), prasinoxanthin (Prasin), α-carotene (α-carotene, α-caro), β-carotene (β-caro), diadinoxanthin (Diad), diatoxanthin(Diato), alloxathin (Allo), zeaxanthin (Zea), neoxanthin (Neo) and violaxanthin (Viol) in the Bohai Sea, Yellow Sea and East China Sea (27°-41°N, 117°-127°E). The time coverage of the dataset is from January 1998 to December 2020. There are 276 files for each pigment dataset. The data is stored in NetCDF (network common data form) format. The data file includes pigment concentration (unit: mg m-3) , longitude and latitude information, with a spatial resolution of 9 km. Non-water and invalid pixels are represented by NaN. The naming format of the data file is "data source identification_original data identification_month and year_pigment abbreviation_spatial resolution_data production time.nc". Examples are as follows: SW_ S20020012002031_ 200201_ Fuco_ 9km_ 20220422.nc MO_ A20200012020031_ 202001_ Fuco_ 9km_ 20220422.nc Where, 'SW' represents SeaWiFS satellite; 'MO' is MODIS-Aqua satellite. The original data identification is the date label of the original data. '200201' represents January 2002. Use 'hex' and 'but' to abbreviate "19'-hex" and "19'-but". '9km' means that the spatial resolution is 9 km. The data production time is expressed as "month, month, day day, year". '.nc' is the suffix of the NetCDF data file.
Files
Steps to reproduce
Based on SeaWiFS (1998-2002) and MODIS-Aqua (2003-2020) remote sensing reflectance data (Rrs), monthly average datasets of 16 typical phytoplankton pigment concentrations in the Bohai Sea, Yellow Sea, and East China Sea were produced. The production process was as follows. Step 1: SeaWiFS and MODIS-Aqua Rrs Level 3 monthly map data (spatial resolution of 9 km) were obtained from NASA Goddard Space Flight Center (https://oceancolor.gsfc.nasa.gov/). Chla concentrations were calculated from satellite remote sensing reflectance data (based on the regional optimization algorithm of Sun et al., 2019); Step 2: Calculation of coastal hyperspectral phytoplankton absorption coefficients (400-700 nm) based on the two-component model of phytoplankton size class of Sun et al. (2019); Step 3: decompose the phytoplankton absorption coefficients using a Gaussian decomposition algorithm and further establish the relationship between the decomposition parameters and the measured phytoplankton pigment concentrations to estimate the pigment concentration. Step 4: Combining steps 1-3, producing remote sensing products of typical phytoplankton pigment concentrations in the Bohai Sea, Yellow Sea, and East China Sea. Refence Sun, D., Huan, Y., Wang, S., et al. 2019. Remote sensing of spatial and temporal patterns of phytoplankton assemblages in the Bohai Sea, Yellow Sea, and east China sea. Water Res 157, 119-133.