Global evaluation of atmospheric river subseasonal prediction skill
Author:
Funder
Jet Propulsion Laboratory
Department of Water Resources
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
http://link.springer.com/content/pdf/10.1007/s00382-018-4309-x.pdf
Reference49 articles.
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2. Becker E, H den Dool Q, Van Zhang (2014) Predictability and forecast skill in NMME. J Clim 27:5891–5906. https://doi.org/10.1175/JCLI-D-13-00597.1
3. Cordeira JM, Ralph F, Moore B (2013) The development and evolution of two atmospheric rivers in proximity to western North Pacific tropical cyclones in October 2010. Mon Weather Rev 141:4234–4255. https://doi.org/10.1175/MWR-D-13-00019.1
4. Dee D et al (2011a) The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597. https://doi.org/10.1002/qj.828
5. DeFlorio MJ, Waliser D, Guan B, Lavers D, Ralph F, Vitart F (2018) Global assessment of atmospheric river prediction skill. J Hydrometeorol 19:409–426. https://doi.org/10.1175/JHM-D-17-0135.1
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