Large-Scale Spatial and Temporal Patterns Evident in the Chlorophyll a Imagery from the First Four Global Satellite Ocean Color Missions (CZCS, OCTS, POLDER and SeaWiFS)

前四个全球卫星海洋颜色任务（CZCS、OCTS、POLDER 和 SeaWiFS）的叶绿素图像中明显的大尺度时空模式

• 批准号: 9986737
• 负责人: Peter Cornillon
• 金额: $ 14.76万
• 依托单位: University of Rhode Island
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-04-01 至 2003-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9986737&HistoricalAwards=false
• 关键词: Large; Scale; Spatial; Temporal; Patterns

ABSTRACTOCE-9986737In this study, the principal investigator will prepare and analyze the global ocean chlorophyll-a fields derived from four different satellite ocean color sensors - the Coastal Zone Color Scanner (CZCS), the Ocean Color and Temperature Scanner (OCTS), the Polarization and Directionality of the Earth's Reflectances sensor (POLDER), and the Sea Wide Field Sensor (SeaWiFS). The overall objective is to assess and implement strategies for scaling these satellite data and models to seasonal, annual, and interannual time scales and to regional and global spatial scales", one of the primary goals of the Synthesis and Modeling Project of the U.S. Joint Global Ocean Flux Study (U.S.JGOFS). The subobjectives are: (1) to put the sensor imagery on a common global grid at 0.25 degree resolution and at roughly weekly temporal resolution; (2) to do the same at monthly resolution; (3) to compare the fields; (4) to select one or more ocean basins for more detailed comparisons of satellite-derived chlorophyll-a spatial and temporal variability; and (5) to create satellite chlorophyll-a time series for large ocean regions. The principal investigator will work with other ocean scientists to assure that they are aware of the remote sensing chlorophyll-a databases available to them as well as the strengths and limitations of those databases.

在这项研究中，主要研究者将准备和分析来自四个不同卫星海洋颜色传感器的全球海洋叶绿素a场-海岸带颜色扫描仪（CZCS），海洋颜色和温度扫描仪（OCTS），地球反射率传感器（POLDER）的偏振和方向性，以及海洋广域传感器（SeaWiFS）。 总体目标是评估和实施将这些卫星数据和模型按季节、年度和年际时间尺度以及区域和全球空间尺度缩放的战略”，这是美国联合全球海洋通量研究综合和建模项目的主要目标之一。 这些副主词是：（1）将传感器图像放在一个共同的全球网格上，分辨率为0.25度，时间分辨率大约为每周;（2）以月分辨率进行同样的工作;（3）比较各区域;（4）选择一个或多个海洋盆地，对卫星获得的叶绿素a空间和时间变异性进行更详细的比较;（5）建立大型海洋区域卫星叶绿素a时间序列。 首席研究员将与其他海洋科学家合作，确保他们了解可供他们使用的叶绿素a遥感数据库以及这些数据库的优势和局限性。