A new global gridded sea surface temperature data product based on multisource data
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Published:2021-05-18
Issue:5
Volume:13
Page:2111-2134
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ISSN:1866-3516
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Container-title:Earth System Science Data
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language:en
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Short-container-title:Earth Syst. Sci. Data
Author:
Cao MengmengORCID, Mao KebiaoORCID, Yan Yibo, Shi Jiancheng, Wang Han, Xu Tongren, Fang Shu, Yuan Zijin
Abstract
Abstract. Sea surface temperature (SST) is an important geophysical
parameter that is essential for studying global climate change. Although sea
surface temperature can currently be obtained through a variety of sensors
(MODIS, AVHRR, AMSR-E, AMSR2, WindSat, in situ sensors), the temperature
values obtained by different sensors come from different ocean depths and
different observation times, so different temperature products lack
consistency. In addition, different thermal infrared temperature products
have many invalid values due to the influence of clouds, and passive
microwave temperature products have very low resolutions. These factors
greatly limit the applications of ocean temperature products in practice. To
overcome these shortcomings, this paper first took MODIS SST products as a
reference benchmark and constructed a temperature depth and observation time
correction model to correct the influences of the different sampling depths
and observation times obtained by different sensors. Then, we built a
reconstructed spatial model to overcome the effects of clouds, rainfall, and
land interference that makes full use of the complementarities and
advantages of SST data from different sensors. We applied these two models
to generate a unique global 0.041∘ gridded monthly SST product
covering the years 2002–2019. In this dataset, approximately 25 % of the
invalid pixels in the original MODIS monthly images were effectively
removed, and the accuracies of these reconstructed pixels were improved by
more than 0.65 ∘C compared to the accuracies of the original
pixels. The accuracy assessments indicate that the reconstructed dataset
exhibits significant improvements and can be used for mesoscale ocean
phenomenon analyses. The product will be of great use in research related to
global change, disaster prevention, and mitigation and is available at
https://doi.org/10.5281/zenodo.4419804 (Cao et al., 2021a).
Funder
National Key Research and Development Program of China
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
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