A comprehensive in situ dataset of chlorophyll a (Chl a; N = 18,001), net primary production (NPP; N = 165) and net community production (NCP; N = 95), were used to evaluate the performance of Moderate Resolution Imaging Spectroradiometer on Aqua (MODIS-A) algorithms for these parameters, in the South Atlantic Ocean, to facilitate the accurate generation of satellite NCP time series. For Chl a, five algorithms were tested using MODIS-A data, and OC3-CI performed best, which was subsequently used to compute NPP. Of three NPP algorithms tested, a Wavelength Resolved Model (WRM) was the most accurate, and was therefore used to estimate NCP with an empirical relationship between NCP with NPP and sea surface temperature (SST). A perturbation analysis was deployed to quantify the range of uncertainties introduced in satellite NCP from input parameters. The largest reductions in the uncertainty of satellite NCP came from MODIS-A derived NPP using the WRM (40%) and MODIS-A Chl a using OC3-CI (22%).

The most accurate NCP algorithm, was used to generate a 16 year time series (2002 to 2018) from MODIS-A to assess climate and environmental drivers of NCP across the South Atlantic basin. Positive correlations between wind speed anomalies and NCP anomalies were observed in the central South Atlantic Gyre (SATL), and the Benguela Upwelling (BENG), indicating that autotrophic conditions may be fuelled by local wind-induced nutrient inputs to the mixed layer. Sea Level Height Anomalies (SLHA), used as an indicator of mesoscale eddies, were negatively correlated with NCP anomalies offshore of the BENG upwelling fronts into the SATL, suggesting autotrophic conditions are driven by mesoscale features. The Agulhas bank and Brazil-Malvinas confluence regions also had a strong negative correlation between SLHA and NCP anomalies, similarly indicating that NCP is forced by mesoscale eddy generation in this region. Positive correlations between SST anomalies and the Multivariate ENSO Index (MEI) in the SATL, indicated the influence of El Niño events on the South Atlantic Ocean, however the plankton community response was less clear.

叶绿素a（Chl a ; N  = 18,001），净初级生产（NPP; N  = 165）和净群落生产（NCP; N  = 95）的综合原位数据集用于评估中等分辨率成像光谱仪的性能在南大西洋使用Aqua（MODIS-A）算法处理这些参数，以促进卫星NCP时间序列的准确生成。对于Chl a，使用MODIS-A数据测试了五种算法，并且OC3-CI表现最佳，随后被用于计算NPP。在所测试的三种NPP算法中，波长分辨模型（WRM）是最准确的，因此用于估计NCP，并具有NCP与NPP和海面温度（SST）之间的经验关系。进行了扰动分析，以根据输入参数对卫星NCP中引入的不确定性范围进行量化。在卫星NCP的不确定性最大减少来自MODIS-A使用WRM（40％）和MODIS-A叶绿素衍生NPP一个使用OC3-Cl（22％）。

最准确的NCP算法用于从MODIS-A生成16年时间序列（2002年至2018年），以评估整个南大西洋盆地NCP的气候和环境驱动因素。在南大西洋中部（SATL）和本格拉上升流（BENG）中观察到风速异常和NCP异常之间存在正相关，这表明自养营养状况可能是由于当地风向混合层的养分输入所致。海平面高度异常（SLHA）用作中尺度旋涡的指标，与BENG上升流锋进入SATL的NCP异常呈负相关，表明自养条件是由中尺度特征驱动的。Agulhas银行和巴西-马尔维纳斯交汇地区在SLHA和NCP异常之间也具有很强的负相关性，类似地表明，NCP是该区域中尺度涡旋产生的推动力。STL异常与SATL中的多变量ENSO指数（MEI）之间呈正相关，表明厄尔尼诺事件对南大西洋的影响，但浮游生物群落的反应尚不清楚。