首页> 外文期刊>International journal of remote sensing >A spaceborne assessment of cyclone impacts on Barents Sea surface temperature and chlorophyll
【24h】

A spaceborne assessment of cyclone impacts on Barents Sea surface temperature and chlorophyll

机译:对气旋对巴伦支海表温度和叶绿素影响的星载评估

获取原文
获取原文并翻译 | 示例
           

摘要

A pilot satellite-based investigation of modulations exerted upon mixed-layer phytoplankton fields by cyclones was performed for the first time across a selected part of the Arctic Ocean, the Barents Sea (BS). Resorting to a synergistic approach, cyclones were first identified from NCEP/NC.R data for the summer period during 2003-2013, and their propagation throughout the BS was further surveyed. The above-water wind force was retrieved from QuikSCAT data. These data were further accompanied by ocean colour data from SeaWiFS and MODIS to examine the spatial and temporal distributions of surficial phytoplankton chlorophyll concentration (chl) dynamics along the trajectory of the cyclone's footprint across the sea. Sea surface temperature was retrieved from MODIS data. The specific trajectory of cyclone passage across the BS area, depression depth, and wind speed proved to be conjointly the main factors determining the sign, amplitude, and duration of modulations of phytoplankton chl. The spaceborne data obtained over more than a decade indicate that, on balance, the cyclone passage led to increase in chl within the cyclone footprint area. On average, this increase did not exceed 1-2 mu g l(-1), which is nevertheless appreciable given that the mean chl within the cyclone footprint rarely exceeded 1 mu g l(-1). However, chl enhancement within the footprint area lasted only within the range of a few days to a fortnight, with the footprint area generally accounting for about 14% of the BS area. During the vegetation season (April-August, rarely till mid-September), the number of cyclones prone to optical and infrared remote sensing was about 2-3. In light of the above, arguably the cyclones studied are hardly capable of boosting annual primary productivity in the BS. Moreover, it can be conjectured that the same conclusion can be drawn with respect to the pelagic Arctic tracts that are generally less productive and more extensively cloud-covered than the BS. However, this supposition requires further studies in order to advance our understanding of the actual role of cyclones in modulation of Arctic Ocean productivity and ecosystem functioning.
机译:在北冰洋的选定部分巴伦支海(BS)上首次进行了基于卫星的试验性研究,研究了旋风对混合层浮游植物场的调制。借助协同方法,首先从2003-2013年夏季的NCEP / NC.R数据中识别出了旋风,并对其在整个BS的传播进行了进一步调查。从QuikSCAT数据中检索了水上风力。这些数据还伴随有SeaWiFS和MODIS的海洋颜色数据,以检查沿旋风的足迹在整个海洋中表面浮游植物叶绿素浓度(chl)动态的时空分布。海面温度是从MODIS数据中获取的。事实证明,气旋通过BS区域的特定轨迹,凹陷深度和风速是决定浮游植物CHL调节的迹象,幅度和持续时间的主要因素。十多年来获得的星载数据表明,总体而言,旋风通过导致旋风足迹区域内的chl增加。平均而言,这种增加不超过1-2μg l(-1),但是鉴于旋风足迹内的平均chl很少超过1μg l(-1),这还是可以理解的。但是,足迹区域内的chl增强仅持续了几天到两周的时间,足迹区域通常约占BS区域的14%。在植被季节(4月至8月,很少到9月中旬),易于发生光学和红外遥感的气旋数量约为2-3。鉴于上述情况,可以说,所研究的旋风分离器几乎无法提高BS的年初级生产率。此外,可以推测,对于远洋的北极地区,与BS相比,其生产力通常较低,而云量较大,因此可以得出相同的结论。但是,这种假设需要进一步研究,以增进我们对气旋在调节北冰洋生产力和生态系统功能中的实际作用的理解。

著录项

  • 来源
    《International journal of remote sensing》 |2015年第8期|1921-1941|共21页
  • 作者单位

    Nansen Int Environm & Remote Sensing Ctr, St Petersburg, Russia|Stockholm Univ, Dept Ecol Environm & Plant Sci, S-10691 Stockholm, Sweden;

    Nansen Int Environm & Remote Sensing Ctr, St Petersburg, Russia|Arctic & Antarctic Res Inst, Dept Oceanol, St Petersburg 199226, Russia;

    Nansen Int Environm & Remote Sensing Ctr, St Petersburg, Russia|St Petersburg State Univ, Inst Earth Sci, Dept Oceanol, St Petersburg 199034, Russia;

    Nansen Int Environm & Remote Sensing Ctr, St Petersburg, Russia|Nansen Environm & Remote Sensing Ctr, Bergen, Norway;

    Chinese Acad Sci, South China Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China;

    Nansen Environm & Remote Sensing Ctr, Bergen, Norway;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号