data for the submission in JGR: Earth Surface

Data explanation

The dataset includes the major data for the manuscript: ‘Modeling Multi-Decadal Morphological Evolution of the Radial-Shaped Sand Ridges in the Southern Yellow Sea, China’.

There are 7 data structures in the mat file:

Elevation_SLRscenarios: this includes the elevation data for the sea level rise scenarios at year 2059, including the base scenario (noSLR), SLR1 (3 mm/yr), and SLR2 (11 mm/yr). Besides, the spatial info for the data and shown as X and Y, and the variable area is the area of the grid.

Elevation_tide_ww_2017: this includes the elevation data at 2017 for two cases: tide-driven model (elevation_tide), and the tide, wind and waves driven model (elevation_tww). The spatial info is also included.

Grainsize: this includes sand and fine sediment percentages for initial condition (RSR_fine_ini, RSR_sand_ini), at 2017 from the tide-driven model (RSR_fine_tide_2017, RSR_sand_2017), and at 2017 from the tide, wind and waves driven model (RSR_fine_tww_2017, RSR_sand_tww_2017). The spatial info is also included.

Residual1979: this includes the residual current and residual sediment flux calculated for 7 tidal cycles at 1979. The spatial info is also included.

Residual2017: this includes the residual current and residual sediment flux calculated for 7 tidal cycles at 2017. The spatial info is also included.

Residual2059: this includes the residual current and residual sediment flux calculated for 7 tidal cycles at 2059. The spatial info is also included.

Sedimentflux_profiles: this includes the net sediment flux across the profiles between the radial sand ridge system (RSR) and the abandoned yellow river delta (AYRD) (p1), and the RSR and the Yangtze River Delta (YRD) (p2). The variable distance_p1 and distance_p2 show the distance from coastline for P1 and P2 profiles, respectively. And the variables with ‘tide’ show the sediment flux from the tide-driven model at 2017, while the variables with ‘tww’ show the sediment flux from the tide, wind and waves driven model at 2017.