11 citations as recorded by crossref.

1. Optimal Assimilation of Daytime SST Retrievals from SEVIRI in a Regional Ocean Prediction System A. Storto & P. Oddo 10.3390/rs11232776
2. Adaptive graph neural network based South China Sea seawater temperature prediction and multivariate uncertainty correlation analysis J. Pan et al. 10.1007/s00477-022-02371-3
3. Satellite-Observed Spatial and Temporal Sea Surface Temperature Trends of the Baltic Sea between 1982 and 2021 S. Jamali et al. 10.3390/rs15010102
4. A spatiotemporal deep learning model for sea surface temperature field prediction using time-series satellite data C. Xiao et al. 10.1016/j.envsoft.2019.104502
5. HE-DFNETS: A Novel Hybrid Deep Learning Architecture for the Prediction of Potential Fishing Zone Areas in Indian Ocean Using Remote Sensing Images M. Sivasankari et al. 10.1155/2022/5081541
6. Effective ensemble learning approach for SST field prediction using attention-based PredRNN B. Qiao et al. 10.1007/s11704-021-1080-7
7. Data assimilation of sea surface temperature and salinity using basin-scale reconstruction from empirical orthogonal functions: a feasibility study in the northeastern Baltic Sea M. Zujev et al. 10.5194/os-17-91-2021
8. Temperature assimilation into a coastal ocean-biogeochemical model: assessment of weakly and strongly coupled data assimilation M. Goodliff et al. 10.1007/s10236-019-01299-7
9. Use of Infrared Satellite Observations for the Surface Temperature Retrieval over Land in a NWP Context M. Sassi et al. 10.3390/rs11202371
10. Landsat 8 Data as a Source of High Resolution Sea Surface Temperature Maps in the Baltic Sea K. Bradtke 10.3390/rs13224619
11. Sea Surface Temperature and High Water Temperature Occurrence Prediction Using a Long Short-Term Memory Model M. Kim et al. 10.3390/rs12213654