A new merged dataset of global ocean chlorophyll <i>a</i> concentration with higher spatial and temporal coverage

XIAO Yanfang; ZHANG Jie; CUI Tingwei; SUN Ling

doi:10.1007/s13131-018-1249-6

一套具有更高时空分辨率的全球海洋叶绿素浓度遥感融合产品数据集

doi: 10.1007/s13131-018-1249-6

1.
国家海洋局第一海洋研究所, 青岛, 266061
2.
国家卫星气象中心, 北京, 100081

基金项目: The National Key R & D Program of China under contract No. 2016YFA0600102; the National Natural Science Foundation of China under contract Nos 41506203, 41476159, 41506204, 41606197, 41471303 and 41706209; the Cooperation Project of FIO and KOIST under contract No. PI-2017-03.

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- 收稿日期: 2017-09-27

A new merged dataset of global ocean chlorophyll a concentration with higher spatial and temporal coverage

1.
The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
2.
National Satellite Meteorological Center, Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China

摘要

摘要: 认识海洋在全球碳循环中的作用及其对环境变化的响应，需要高时空分辨率的观测数据。由于轨道宽度、云雨天气、太阳耀斑等的影响，单一的水色传感器的观测能力十分有限，将多源海洋水色卫星进行融合是提高水色数据时空覆盖的一种有效途径。SeaWiFS和MERIS分别于2010年12月11日和2012年5月9日停止运行，在很大程度上降低了水色融合产品时空覆盖的提升。我们在融合过程中加入了FY-3 MERSI数据，生成了全球海洋叶绿素浓度遥感融合产品数据集。数据源包括SeaWiFS、MERIS、MODIS-Aqua、VIIRS和MERSI。结果表明：加入MERSI后，融合产品的日平均有效空间覆盖提高了9%；采样频率（同一区域一年中获取有效数据的次数）由57天/年提高到109天/年。利用实测数据和国外同类融合产品（ESA GlobColour和NASA MEaSUREs）对新的数据集进行了质量评价。与实测数据相比，加入MERSI的融合产品精度与未加入MERSI的融合产品基本一致；与国外同类融合产品的偏差小于10%。新数据集的时间序列特性与未加入MERSI的融合产品以及单传感器的一致。
- 融合数据 /
- 水色 /
- 叶绿素浓度 /
- CIA /
- FY-3MERSI /
- VIIRS
Abstract: Understanding the ocean's role in the global carbon cycle and its response to environmental change requires a high spatio-temporal resolution of observation. Merging ocean color data from multiple sources is an effective way to alleviate the limitation of individual ocean color sensors (e.g., swath width and gaps, cloudy or rainy weather, and sun glint) and to improve the temporal and spatial coverage. Since the missions of Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) and Medium-spectral Resolution Imaging Spectrometer (MERIS) ended on December 11, 2010 and May 9, 2012, respectively, the number of available ocean color sensors has declined, reducing the benefits of the merged ocean color data with respect to the spatial and temporal coverage. In present work, Medium Resolution Spectral Imager (MERSI)/FY-3 of China is added in merged processing and a new dataset of global ocean chlorophyll a (Chl a) concentration (2000-2015) is generated from the remote sensing reflectance (Rrs (λ)) observations of MERIS, Moderate-resolution imaging spectra-radiometer (MODIS)-AQUA, Visible infrared Imaging Radiometer (VⅡRS) and MERSI. These data resources are first merged into unified remote sensing reflectance data, and then Chl a concentration data are inversed using the combined Chl a algorithm of color index-based algorithm (CIA) and OC3. The merged data products show major improvements in spatial and temporal coverage from the addition of MERSI. The average daily coverage of merged products is approximately 24% of the global ocean and increases by approximately 9% when MERSI data are added in the merging process. Sampling frequency (temporal coverage) is greatly improved by combining MERSI data, with the median sampling frequency increasing from 15.6% (57 d/a) to 29.9% (109 d/a). The merged Chl a products herein were validated by in situ measurements and comparing them with the merged products using the same approach except for omitting MERSI and GlobColour and MEaSUREs merged data. Correlation and relative error between the new merged Chl a products and in situ observation are stable relative to the results of the merged products without the addition of MERSI. Time series of the Chl a concentration anomalies are similar to the merged products without adding MERSI and single sensors. The new merged products agree within approximately 10% of the merged Chl a product from GlobColour and MEaSUREs.
- merged data /
- ocean color /
- chlorophyll a /
- CIA /
- FY-3 MERSI /
- VIIRS

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文章访问数: 1059
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一套具有更高时空分辨率的全球海洋叶绿素浓度遥感融合产品数据集

doi: 10.1007/s13131-018-1249-6

计量

出版历程

A new merged dataset of global ocean chlorophyll a concentration with higher spatial and temporal coverage

计量

出版历程

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