Process‐Informed Subsampling Improves Subseasonal Rainfall Forecasts in Central America

MLA

Katherine M. Kowal, et al. “Process‐Informed Subsampling Improves Subseasonal Rainfall Forecasts in Central America.” Geophysical Research Letters, vol. 51, no. 1, Jan. 2024. EBSCOhost, https://doi.org/10.1029/2023GL105891.

APA

Katherine M. Kowal, Louise J. Slater, Sihan Li, Timo Kelder, Kyle J. C. Hall, Simon Moulds, Alan A. García‐López, & Christian Birkel. (2024). Process‐Informed Subsampling Improves Subseasonal Rainfall Forecasts in Central America. Geophysical Research Letters, 51(1). https://doi.org/10.1029/2023GL105891

Chicago

Katherine M. Kowal, Louise J. Slater, Sihan Li, Timo Kelder, Kyle J. C. Hall, Simon Moulds, Alan A. García‐López, and Christian Birkel. 2024. “Process‐Informed Subsampling Improves Subseasonal Rainfall Forecasts in Central America.” Geophysical Research Letters 51 (1). doi:10.1029/2023GL105891.