Global and regional evaluation of the SeaWiFS chlorophyll data set
Global and regional evaluation of the SeaWiFS chlorophyll data set
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DOI：
10.1016/j.rse.2003.12.012
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发表时间：
2004-12-15
影响因子：
13.5
通讯作者：
Casey, NW
中科院分区：
文献类型：
--
作者：
Gregg, WW;Casey, NW
将海景宽视场传感器 (SeaWiFS) 叶绿素数据集与 NASA 和 NOAA 的原位叶绿素数据综合档案进行了比较。全局比较表明，均方根 (RMS) 对数误差为 31%，决定系数 (r(2)) 为 0.76，使用 4168 个数据点，其中原位数据和 SeaWiFS 数据一致且并置。公海（定义为海底深度 > 200 英寸）的 RMS 测井误差为 27.7%，r(2) = 0.72，而海岸的 RMS 测井误差为 33%，r(2) = 0.60，表明沿海地区 SeaWiFS 数据集的质量恶化。所有太平洋海洋盆地普遍与 SeaWiFS 表现出非常好的一致性，南大西洋盆地也是如此。然而，地中海/黑海、赤道大西洋和南极洲的一致性较差。河流输入、撒哈拉尘埃和异常海洋成分产生的光学复杂性导致了在大西洋观察到的差异，其中 SeaWiFS 发生了高估。南极地区显示出明显的负偏差，表明低估，特别是叶绿素浓度大于约 0.15 mg m(-3) 时。结果提供了 SeaWiFS 数据集的全面的全球和地理分析，这将有助于数据用户和政策制定者评估全球和区域海洋叶绿素和初级生产估计的不确定性。 (C) 2004 Elsevier Inc. 保留所有权利。
The Sea-viewing Wide Field-of-view Sensor (SeaWiFS) chlorophyll data set was compared to comprehensive archives of in situ chlorophyll data from NASA and NOAA. The global comparison indicated a root mean square (RMS) log error of 31%, with a coefficient of determination (r(2)) of 0.76, using 4168 data points where in situ and SeaWiFS data were coincident and collocated. RMS log error for open ocean (defined as bottom depth>200 in) was 27.7% with r(2) = 0.72, compared to 33% RMS log error and r(2) = 0.60 on the coasts, indicating a deterioration of quality of the SeaWiFS data set in coastal regions. All of the Pacific oceanographic basins generally showed very good agreement with SeaWiFS, as did the South Atlantic basin. However, poorer agreement was found in the Mediterranean/Black Seas, Equatorial Atlantic, and the Antarctic. Optical complexity arising from riverine inputs, Saharan dust, and anomalous oceanic constituents contributed to the differences observed in the Atlantic, where an overestimation by SeaWiFS occurred. The Antarctic indicated a pronounced negative bias, indicating an underestimation, especially for chlorophyll concentrations greater than about 0.15 mg m(-3). The results provide a comprehensive global and geographic analysis of the SeaWiFS data set, which will assist data users and policy makers in assessing the uncertainty of estimates of global and regional ocean chlorophyll and primary production. (C) 2004 Elsevier Inc. All rights reserved.