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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Algal biomass and sea surface temperature in the Mediterranean basin intercomparison of data from various satellite sensors, and implications for primary production estimates
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Algal biomass and sea surface temperature in the Mediterranean basin intercomparison of data from various satellite sensors, and implications for primary production estimates

机译:地中海盆地中的藻类生物量和海面温度比较了各种卫星传感器的数据及其对初级产量估计的影响

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The Mediterranean Basin, subject both to climate changes and to increasing anthropogenic inputs, is an appropriate test site for observing the evolution of algal biomass and primary production on a long-term basis. With this aim, it is first necessary to study the consistency of the various sets of satellite data as provided by the space agencies, and to compare them to in situ available data. Pixel-by-pixel comparisons of the Level 3 chlorophyll products derived from the ocean color and temperature scanner (OCTS; Version 4, August 1999), polarization and directionality of earth reflectances (POLDER; reprocessing no.2, July 2000), and the sea-viewing wide field-of-view sensor (SeaWiFS; reprocessing no.3, May 2000) reveal a reasonably good agreement. Discrepancies, however, appear particularly in oligotrophic areas: weekly (or 10-day) means for OCTS and POLDER (which were operating simultaneously) differ in these areas by 30 70% on average, and OCTS and SeaWiFS weekly means, at 1-year distance, reveal differences by up to a factor of 2. Comparisons with measurements at sea, performed during various cruises, show that all these sensors tend to overestimate chlorophyll concentrations in oligotrophic waters. A "regional algorithm" is proposed to reduce this bias. The impact of using the various datasets for chlorophyll concentration, and for seawater temperature (Reynolds sea surface temperature [SST] analyses, Levitus climatological profiles) for primary production computations is shown. Because they are simultaneous to ocean color data, Reynolds analyses appear to be the most appropriate inputs to such computations. They have, however, to be combined with climatological vertical profiles of seawater temperature, so as to provide representative values for the productive layer.
机译:受气候变化和人为投入增加的影响,地中海盆地是长期观察藻类生物量和初级生产演变的合适试验场所。为此目的,首先有必要研究空间机构提供的各种卫星数据的一致性,并将它们与现场可获得的数据进行比较。海洋颜色和温度扫描仪(OCTS;版本4,1999年8月),地球反射的极化和方向性(POLDER; 2000年7月第2号后处理)的3级叶绿素产品的逐像素比较。海景宽视野传感器(SeaWiFS; 2000年5月第3号后处理)显示出相当好的协议。但是,差异特别是在贫营养地区出现:OCTS和POLDER(同时运行)的每周(或10天)平均值在这些地区平均相差30 70%,OCTS和SeaWiFS的每周平均值为1年距离,揭示差异最多2倍。在各种航行中与海上测量的比较表明,所有这些传感器都倾向于高估贫营养水域中的叶绿素浓度。提出了一种“区域算法”来减少这种偏差。显示了使用各种数据集进行叶绿素浓度和海水温度(雷诺兹海表温度[SST]分析,利维图斯气候剖面)对一次生产计算的影响。由于它们与海洋颜色数据同时发生,因此雷诺分析似乎是此类计算的最合适输入。但是,它们必须与海水温度的气候垂直剖面相结合,以便为生产层提供代表性的值。

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