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Online bias estimation in SSH assimilation - NASA Global Modeling ...

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Conclusions<br />

• <strong>Onl<strong>in</strong>e</strong> <strong>bias</strong> correction important when T data & <strong>SSH</strong> anomalies are assimilated.<br />

• 16+1 and 32+1 EnKF runs have comparable performance<br />

• EnKF-<strong>in</strong>itialized h<strong>in</strong>dcasts can miss or underestimate El Niño events but result <strong>in</strong><br />

less false El Niño or La Niña alerts than production forecasts

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