Assimilating Precipitation Features Based on the Fractions Skill Score: An Idealized Study with an Intermediate AGCM
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-40567-9_11
Reference19 articles.
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3. Evensen G (1994) Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J Geophys Res 99:10143–10162. https://doi.org/10.1029/94JC00572
4. Hunt BR, Kostelich EJ, Szunyogh I (2007) Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter. Physica D 230:112–126. https://doi.org/10.1016/j.physd.2006.11.008
5. Kondo K, Miyoshi T (2016) Impact of removing covariance localization in an ensemble Kalman filter: experiments with 10240 members using an intermediate AGCM. Mon Wea Rev 144:4849–4865. https://doi.org/10.1175/MWR-D-15-0388.1
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