A global process-oriented sea surface temperature anomaly dataset retrieved from remote sensing products
From the time that it first develops, a sea surface temperature anomaly (SSTA) will develop in space and time until it dissipates. Although many SST products are available, great challenges are still faced when attempting to directly explore the evolution of SSTAs. To address some of these problems,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-01-01
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| Series: | Big Earth Data |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/20964471.2021.1988426 |