MODIS observed phytoplankton dynamics in the Taiwan Strait: an absorption-based analysis
MODIS observed phytoplankton dynamics in the Taiwan Strait: an absorption-based analysis
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MODIS 观测台湾海峡浮游植物动态：基于吸收的分析
DOI：
10.5194/bg-8-841-2011
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发表时间：
2010-10
期刊：
影响因子：
4.9
通讯作者：
Behrenfeld, M.
中科院分区：
文献类型：
--
作者：
Shang, S.;Dong, Q.;Lee, Z.;Li, Y.;Xie, Y.;Behrenfeld, M.
抽象的。本研究利用MODIS观测的浮游植物443 nm吸收系数（Aph）作为表征光学复杂沃茨中浮游植物变化的优选指标。利用准解析算法（QAA）对台湾海峡（TWS）海域和近岸沃茨的遥感反射率（Rrs，包括原位和MODIS测量）进行了估算，并与原位测量结果进行了比较。对于具有匹配时空窗的数据，发现MODIS导出的Aph与实地测量的Aph之间的平均百分比误差（e）为33.8%（N=30，Aph范围为0.012至0.537 m−1），对数空间的均方根误差（RMSE_log）为0.226。经比较，船载Rrs法测得的Aph与水样测得的Aph的相关系数为28.0%（N=88，RMSE_log = 0.150）。然而，MODIS反演的叶绿素a（Chl，OC 3 M算法）与实测叶绿素a之间的e值高达135.6%（N=30，RMSE_log = 0.383）。在此基础上，利用2003-2009年的MODIS Rrs资料，采用QAA方法计算了TWS的月平均Aph。浮游植物的动态有三个明显的特点。首先，在澎湖海峡，南海水进入TWS的APH是低的和最小的变化。该区域在冬季维持略高的值（约17%，高于其他季节），这是由于冬季风驱动的垂直混合下的表面营养盐夹带。第二，APH是高的，变化最大的大陆近岸水域，在夏季（6月至8月），当河流羽流和沿海上升流增强表面营养负荷的值达到峰值。QuikSCAT观测结果表明，汉江口6月份水华强度的年际变化与沿岸风应力异常有较好的相关性。最小和最大水华强度的年份分别处于厄尔尼诺和拉尼娜事件的中间。第三，一个高的Aph补丁出现在4月和9月之间的南部TWS的中间，对应于高的热锋概率，如所观察到的MODIS。我们的研究结果支持使用卫星派生的APH的时间序列分析的浮游植物在沿海海洋地区的动态，而卫星叶绿素产品经验性地使用光谱比RRS遭受与非生物光学活性材料的文物。
Abstract. This study used MODIS observed phytoplankton absorption coefficient at 443 nm (Aph) as a preferable index to characterize phytoplankton variability in optically complex waters. Aph derived from remote sensing reflectance (Rrs, both in situ and MODIS measured) with the Quasi-Analytical Algorithm (QAA) were evaluated by comparing them with match-up in situ measurements, collected in both oceanic and nearshore waters in the Taiwan Strait (TWS). For the data with matching spatial and temporal window, it was found that the average percentage error (e) between MODIS derived Aph and field measured Aph was 33.8% (N=30, Aph ranges from 0.012 to 0.537 m−1), with a root mean square error in log space (RMSE_log) of 0.226. By comparison, e was 28.0% (N=88, RMSE_log = 0.150) between Aph derived from ship-borne Rrs and Aph measured from water samples. However, values of e as large as 135.6% (N=30, RMSE_log = 0.383) were found between MODIS derived chlorophyll-a (Chl, OC3M algorithm) and field measured Chl. Based on these evaluation results, we applied QAA to MODIS Rrs data in the period of 2003–2009 to derive climatological monthly mean Aph for the TWS. Three distinct features of phytoplankton dynamics were identified. First, Aph is low and the least variable in the Penghu Channel, where the South China Sea water enters the TWS. This region maintains slightly higher values in winter (~17% higher than that in the other seasons) due to surface nutrient entrainment under winter wind-driven vertical mixing. Second, Aph is high and varies the most in the mainland nearshore water, with values peaking in summer (June–August) when river plumes and coastal upwelling enhance surface nutrient loads. Interannual variation of bloom intensity in Hanjiang River estuary in June is highly correlated with alongshore wind stress anomalies, as observed by QuikSCAT. The year of minimum and maximum bloom intensity is in the midst of an El Nino and a La Nina event, respectively. Third, a high Aph patch appears between April and September in the middle of the southern TWS, corresponding to high thermal frontal probabilities, as observed by MODIS. Our results support the use of satellite derived Aph for time series analyses of phytoplankton dynamics in coastal ocean regions, whereas satellite Chl products derived empirically using spectral ratio of Rrs suffer from artifacts associated with non-biotic optically active materials.
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DOI：
10.1029/ln017p0041
发表时间：
1986
期刊：
--
影响因子：
--
作者：
J. Simpson;P. Tett
通讯作者：
J. Simpson;P. Tett
DOI：
10.3390/s7123428
发表时间：
2007-12-20
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Lee Z;Carder K;Arnone R;He M
通讯作者：
He M
影响因子：
1.7
作者：
T. Hirawake;S. Takao;N. Horimoto;T. Ishimaru;Y. Yamaguchi;M. Fukuchi
通讯作者：
T. Hirawake;S. Takao;N. Horimoto;T. Ishimaru;Y. Yamaguchi;M. Fukuchi
影响因子：
1.9
作者：
Z. Lee;K. Carder;J. Marra;R. Steward;M. Perry
通讯作者：
Z. Lee;K. Carder;J. Marra;R. Steward;M. Perry
影响因子：
13.5
作者：
Caiyun Zhang;Chuanmin Hu;S. Shang;F. Muller‐Karger;Yan Li;M. Dai;Bangqin Huang;X. Ning;H. Hong
通讯作者：
Caiyun Zhang;Chuanmin Hu;S. Shang;F. Muller‐Karger;Yan Li;M. Dai;Bangqin Huang;X. Ning;H. Hong