The typical oxygen minimum zone (OMZ) dataset includes the depth of hypoxia (DOH, with the unit of m) which is the shallowest depth at which the waters become hypoxic. The dataset has a high spatial resolution of 0.25° x 0.25° and covers the California Current System (CCS) from January 2003 to December 2020. Validation of the DOH inversion model showed an overall coefficient of determination of 0.82 and a root mean square error of 37.69 m (n = 80).
The dataset used the satellite-derived net community production (NCP) which was calculated by daily MODIS/Aqua standard Level 3 products for sea surface temperature (SST), photosynthetically active radiation, monthly sea surface chlorophyll a, and selected satellite-derived SST and NCP as input indicators. Based on the OMZ formation mechanism in the eastern subtropical North Pacific Ocean, we developed the nonlinear polynomial regression inversion model for the satellite-derived DOH in the CCS. This model was used to reconstruct the complete OMZ field in the CCS for the 2003–2020 period and showed that (1) there was a significant shallowing trend in the DOH from 2003 to 2013 in the coastal region of the CCS. Combined with the DO profile records from previous studies and literature records, these findings showed that the shallowing pattern for the DOH existed for almost 40 years. (2) The strong climate oscillation events in the northeastern Pacific over the 2014–2016 period caused rapid variations in environmental parameters. The shallowing trend in the DOH was reversed to a deepening pattern due to warming as a result of regional climate change. There was also a temporary slowing of the expansion of the OMZ. (3) During 2017–2020, effects of the climate oscillation event on the CCS gradually disappeared and the DOH recovered slightly, but it had not returned to the significant shallowing characteristics that existed prior to 2014. In the context of current global warming and increasing stress imposed by human activities, the rising SST, intensifying upwelling-favorable winds and excess nutrient discharge might imply that the depth of the upper layer of the OMZ should be shallower in the future. The shallowing DOH will affect aquatic organisms and lead to corresponding responses by the phytoplankton community in the upper layer, which may ultimately lead to significant and complex changes in the whole marine ecosystem. This dataset expands the high spatiotemporal resolution OMZ data available in the CCS and helps to assess and predict the stable development of ecosystems and fisheries economies.
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