Process‐Informed Subsampling Improves Subseasonal Rainfall Forecasts in Central America

Katherine M. Kowal, Louise J. Slater, Sihan Li, Timo Kelder, Kyle J. C. Hall, Simon Moulds, Alan A. García‐López, Christian Birkel

Open source

DOI: 10.1029/2023gl105891
Published: 2024-01-05
Container: Geophysical Research Letters
Publisher: American Geophysical Union (AGU)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1029/2023gl105891,
  title = {Process‐Informed Subsampling Improves Subseasonal Rainfall Forecasts in Central America},
  author = {Katherine M. Kowal and Louise J. Slater and Sihan Li and Timo Kelder and Kyle J. C. Hall and Simon Moulds and Alan A. García‐López and Christian Birkel},
  year = {2024},
  journal = {Geophysical Research Letters},
  doi = {10.1029/2023gl105891},
  url = {https://doi.org/10.1029/2023gl105891}
}

RIS

TY  - JOUR
TI  - Process‐Informed Subsampling Improves Subseasonal Rainfall Forecasts in Central America
AU  - Katherine M. Kowal
AU  - Louise J. Slater
AU  - Sihan Li
AU  - Timo Kelder
AU  - Kyle J. C. Hall
AU  - Simon Moulds
AU  - Alan A. García‐López
AU  - Christian Birkel
PY  - 2024
JO  - Geophysical Research Letters
DO  - 10.1029/2023gl105891
UR  - https://doi.org/10.1029/2023gl105891
ER  -

APA

Kowal, K. M., Slater, L. J., Li, S., Kelder, T., Hall, K. J. C., Moulds, S., García‐López, A. A., & Birkel, C. (2024). Process‐Informed Subsampling Improves Subseasonal Rainfall Forecasts in Central America. Geophysical Research Letters. https://doi.org/10.1029/2023gl105891

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crossref · retrieved 2026-09-26T02:34:22.535Z