An Assessment of Atmospheric and Meteorological Factors Regulating Red Sea Phytoplankton Growth
An Assessment of Atmospheric and Meteorological Factors Regulating Red Sea Phytoplankton Growth
复制标题
调节红海浮游植物生长的大气和气象因素的评估
作者：
Wenzhao Li;H. El;Mohamed A. Qurban;Emmanouil Proestakis;M. Garay;O. Kalashnikova;V. Amiridis;A. Gkikas;E. Marinou;T. Piechota;K. Manikandan
这项研究考虑了调节红海营养物质供应的各种因素。利用多传感器观测和再分析数据集，通过时间序列和相关性分析，研究灰尘沉积、海表温度和风速之间的关系，因为它们可能导致浮游植物异常水华。在红海地区，叶绿素a（Chl-a）异常和沙尘异常之间存在0-3个月的滞后正相关。利用卫星激光雷达资料，进一步研究了沙尘气溶胶的垂直分布特征。相反，负相关被发现在0-3个月的滞后SST异常和Chl-a，特别是在红海南部的夏季。SST和浮游植物之间的负相关关系在2015年至2016年期间Chl-a的持续低水平中也很明显，这是该地区有记录以来最温暖的年份。风速与叶绿素a的总体正相关关系与亚丁湾向红海南部的营养水供应和北方的垂直混合有关。海洋颜色气候变化倡议（OC-CCI）的数据集经历了一些时间上的不一致，由于包括不同的数据集。我们通过对这些复杂关系的有效解释，在分析中解决了这些问题。
This study considers the various factors that regulate nutrients supply in the Red Sea. Multi-sensor observation and reanalysis datasets are used to examine the relationships among dust deposition, sea surface temperature (SST), and wind speed, as they may contribute to anomalous phytoplankton blooms, through time-series and correlation analyses. A positive correlation was found at 0–3 months lag between chlorophyll-a (Chl-a) anomalies and dust anomalies over the Red Sea regions. Dust deposition process was further examined with dust aerosols’ vertical distribution using satellite lidar data. Conversely, a negative correlation was found at 0–3 months lag between SST anomalies and Chl-a that was particularly strong in the southern Red Sea during summertime. The negative relationship between SST and phytoplankton is also evident in the continuously low levels of Chl-a during 2015 to 2016, which were the warmest years in the region on record. The overall positive correlation between wind speed and Chl-a relate to the nutritious water supply from the Gulf of Aden to the southern Red Sea and the vertical mixing encountered in the northern part. Ocean Color Climate Change Initiative (OC-CCI) dataset experience some temporal inconsistencies due to the inclusion of different datasets. We addressed those issues in our analysis with a valid interpretation of these complex relationships.
影响因子：
3.7
作者：
Hayley Evers-King;V. Martínez-Vicente;R. Brewin;G. Dall’Olmo;Anna Hickman;Thomas Jackson;T. Kostadinov;H. Krasemann;H. Loisel;R. Röttgers;Shovonlal Roy;D. Stramski;S. Thomalla;T. Platt;S. Sathyendranath
通讯作者：
Hayley Evers-King;V. Martínez-Vicente;R. Brewin;G. Dall’Olmo;Anna Hickman;Thomas Jackson;T. Kostadinov;H. Krasemann;H. Loisel;R. Röttgers;Shovonlal Roy;D. Stramski;S. Thomalla;T. Platt;S. Sathyendranath