A recent revision of the NASA global ocean colour record shows changes in global ocean chlorophyll trends. This new 18-year time series now includes three global satellite sensors, the Sea-viewing Wide Field of view Sensor (SeaWiFS), Moderate Resolution Imaging Spectroradiometer (MODIS-Aqua), and Visible Infrared Imaging Radiometer Suite (VIIRS). The major changes are radiometric drift correction, a new algorithm for chlorophyll, and a new sensor VIIRS. The new satellite data record shows no significant trend in global annual median chlorophyll from 1998 to 2015, in contrast to a statistically significant negative trend from 1998 to 2012 in the previous version.

When revised satellite data are assimilated into a global ocean biogeochemical model, no trend is observed in global annual median chlorophyll. This is consistent with previous findings for the 1998–2012 time period using the previous processing version and only two sensors (SeaWiFS and MODIS). Detecting trends in ocean chlorophyll with satellites is sensitive to data processing options and radiometric drift correction. The assimilation of these data, however, reduces sensitivity to algorithms and radiometry, as well as the addition of a new sensor. This suggests the assimilation model has skill in detecting trends in global ocean colour.

Using the assimilation model, spatial distributions of significant trends for the 18-year record (1998–2015) show recent decadal changes. Most notable are the North and Equatorial Indian Oceans basins, which exhibit a striking decline in chlorophyll. It is exemplified by declines in diatoms and chlorophytes, which in the model are large and intermediate size phytoplankton. This decline is partially compensated by significant increases in cyanobacteria, which represent very small phytoplankton. This suggests the beginning of a shift in phytoplankton composition in these tropical and subtropical Indian basins.

NASA全球海洋颜色记录的最新修订显示了全球海洋叶绿素趋势的变化。这个新的为期18年的时间序列现在包括三个全球卫星传感器，海景宽视场传感器（SeaWiFS），中分辨率成像光谱仪（MODIS-Aqua）和可见红外成像辐射仪套件（VIIRS）。主要变化是辐射漂移校正，新的叶绿素算法和新的VIIRS传感器。新的卫星数据记录显示，从1998年到2015年，全球年度叶绿素中值没有显着趋势，而在以前的版本中，从1998年到2012年，具有统计意义的负趋势。

当将修订后的卫星数据同化为全球海洋生物地球化学模型时，全球年度叶绿素中值没有观察到趋势。这与使用以前的处理版本并仅使用两个传感器（SeaWiFS和MODIS）的1998-2012年期间的先前发现是一致的。利用卫星检测海洋叶绿素趋势对数据处理选项和辐射漂移校正很敏感。但是，这些数据的同化降低了对算法和放射线测量的敏感性，并增加了新的传感器。这表明同化模型具有检测全球海洋颜色趋势的技能。

使用同化模型，记录了18年记录（1998-2015）的重要趋势的空间分布显示了最近的年代际变化。最值得注意的是印度洋北部和赤道盆地，它们的叶绿素含量显着下降。以硅藻和绿藻类植物的减少为例，这在模型中是大型和中等规模的浮游植物。蓝细菌的大量增加可部分弥补这一下降，而蓝细菌代表非常小的浮游植物。这表明在这些热带和亚热带印度盆地，浮游植物组成开始发生转变。