Impact of altimetry data on ENSO ensemble initializations and predictions
By F. Zheng, Jiang Zhu, Rong‐Hua Zhang. 2007
58 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/b9a7979cb3156a1539575bbd2d4b96ff704e29dd
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In Atmospheric Science
In Global and Planetary Change
In Oceanography
Citations in the corpus
- Improved ensemble-mean forecasting of ENSO events by a zero-mean stochastic error model of an intermediate coupled model (2016, methodology): “…initialization method for ENSO predictions has been required in many studies (e.g., Ji and Leetmaa 1997; Ji et al. 2000; Alves et al. 2004; Luo et al. 2005; Keenlyside et al. 2005; Zheng et al. 2006, 2007; Luo et al. 2008; Yang et al. 2010; Zhu et al. 2012; Luo et al. 2015; Zheng and Zhu 2015).”
- Assimilating Along-Track Altimetric Observations through Local Hydrostatic Adjustment in a Global Ocean Variational Assimilation System (2011, background): “For instance, Zheng et al. (2007) demonstrated that assimilating SLA observations improves the predictions of the sea surface temperature (SST) anomaly in the equatorial Pacific.”