Chen, W.; Wang, D.; Liu, X.; Cheng, J.; Zhang, J.
Improve the Accuracy in Numerical Modeling of Suspended Sediment Concentrations in the Hangzhou Bay by Assimilating Remote Sensing Data Utilizing Combined Techniques of Adjoint Data Assimilation and the Penalty Function Method. Remote Sens. 2023, 15, 148.
https://doi.org/10.3390/rs15010148
AMA Style
Chen W, Wang D, Liu X, Cheng J, Zhang J.
Improve the Accuracy in Numerical Modeling of Suspended Sediment Concentrations in the Hangzhou Bay by Assimilating Remote Sensing Data Utilizing Combined Techniques of Adjoint Data Assimilation and the Penalty Function Method. Remote Sensing. 2023; 15(1):148.
https://doi.org/10.3390/rs15010148
Chicago/Turabian Style
Chen, Wenrui, Daosheng Wang, Xiujuan Liu, Jun Cheng, and Jicai Zhang.
2023. "Improve the Accuracy in Numerical Modeling of Suspended Sediment Concentrations in the Hangzhou Bay by Assimilating Remote Sensing Data Utilizing Combined Techniques of Adjoint Data Assimilation and the Penalty Function Method" Remote Sensing 15, no. 1: 148.
https://doi.org/10.3390/rs15010148
APA Style
Chen, W., Wang, D., Liu, X., Cheng, J., & Zhang, J.
(2023). Improve the Accuracy in Numerical Modeling of Suspended Sediment Concentrations in the Hangzhou Bay by Assimilating Remote Sensing Data Utilizing Combined Techniques of Adjoint Data Assimilation and the Penalty Function Method. Remote Sensing, 15(1), 148.
https://doi.org/10.3390/rs15010148
