Cite
Improving Analysis and Prediction of Tropical Cyclones by Assimilating Radar and GNSS-R Wind Observations: Ensemble Data Assimilation and Observing System Simulation Experiments Using a Coupled Atmosphere–Ocean Model.
MLA
Lin, Kuan-Jen, et al. “Improving Analysis and Prediction of Tropical Cyclones by Assimilating Radar and GNSS-R Wind Observations: Ensemble Data Assimilation and Observing System Simulation Experiments Using a Coupled Atmosphere–Ocean Model.” Weather & Forecasting, vol. 37, no. 9, Sept. 2022, pp. 1533–52. EBSCOhost, https://doi.org/10.1175/WAF-D-21-0202.1.
APA
Lin, K.-J., Yang, S.-C., & Chen, S. S. (2022). Improving Analysis and Prediction of Tropical Cyclones by Assimilating Radar and GNSS-R Wind Observations: Ensemble Data Assimilation and Observing System Simulation Experiments Using a Coupled Atmosphere–Ocean Model. Weather & Forecasting, 37(9), 1533–1552. https://doi.org/10.1175/WAF-D-21-0202.1
Chicago
Lin, Kuan-Jen, Shu-Chih Yang, and Shuyi S. Chen. 2022. “Improving Analysis and Prediction of Tropical Cyclones by Assimilating Radar and GNSS-R Wind Observations: Ensemble Data Assimilation and Observing System Simulation Experiments Using a Coupled Atmosphere–Ocean Model.” Weather & Forecasting 37 (9): 1533–52. doi:10.1175/WAF-D-21-0202.1.