Wind speed and mesoscale features drive net autotrophy in the South Atlantic Ocean
Wind speed and mesoscale features drive net autotrophy in the South Atlantic Ocean
复制标题
DOI：
10.1016/j.rse.2021.112435
复制
发表时间：
2021-07
影响因子：
13.5
通讯作者：
D. Ford;G. Tilstone;J. Shutler;V. Kitidis;P. Lobanova;J. Schwarz;A. Poulton;P. Serret;T. Lamont;M. Chuqui;R. Barlow;José Lozano;M. Kampel;F. Brandini
中科院分区：
文献类型：
--
作者：
D. Ford;G. Tilstone;J. Shutler;V. Kitidis;P. Lobanova;J. Schwarz;A. Poulton;P. Serret;T. Lamont;M. Chuqui;R. Barlow;José Lozano;M. Kampel;F. Brandini
利用叶绿素(Chla；N=18001)、净初级生产力(NPP；N=0165)和净群落生产量(NCP；N=095)的综合数据，在南大西洋评估了中分辨率成像光谱仪(MODIS-A)算法对这些参数的性能，以便于准确地生成卫星NCP时间序列。对于CHLA，使用MODIS-A数据测试了五种算法，其中OC3-CI执行得最好，随后将其用于计算NPP。在测试的三种NPP算法中，波长分辨模型(WRM)是最准确的，因此被用来估计NCP与NPP和海表面温度(SST)之间的经验关系。采用摄动分析方法从输入参数中量化了卫星NCP引入的不确定性范围。卫星NCP不确定性的最大降幅来自使用WRM(40%)和使用OC3-CI的MODIS-A(22%)的MODIS-A得到的NPP。最准确的NCP算法被用来从MODIS-A生成16年的时间序列(2002-2018)，以评估南大西洋盆地NCP的气候和环境驱动因素。在中南大西洋环流(SATL)和本格拉上升流(BENG)，风速异常与NCP异常呈正相关，这表明自养条件可能是由当地风诱导的营养输入混合层所推动的。作为中尺度涡旋指标的海平面高度异常(SLHA)与进入SATL的Beng上升流锋面附近的NCP异常呈负相关，表明自养条件是由中尺度特征驱动的。阿古尔哈斯浅滩和巴西-马尔维纳斯交汇区的SLHA与NCP异常之间也有很强的负相关，同样表明NCP是受该地区中尺度涡旋的强迫。SATL海温异常与多变量ENSO指数(MEI)呈正相关，表明了厄尔尼诺事件对南大西洋的影响，但浮游生物群落的响应不太明显。
A comprehensivein situdataset of chlorophylla(Chla;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 Chla, 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 Chlausing 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.