Coarse predictions of dipole reversals by low-dimensional modeling and data assimilation
• We study Earth’s dipole reversals by low-dimensional models and data assimilation. • We investigate if reversals can be predicted coarsely to occur during time-windows. • Paleointensity data do not have a threshold below which reversals necessarily occur. • Paleointensity data can be assimilated t...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Morzfeld, Matthias [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Umfang: |
20 |
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| Übergeordnetes Werk: |
Enthalten in: Characteristics of optical parametric oscillator synchronously pumped by Yb:KGW laser and based on periodically poled potassium titanyl phosphate crystal - Vengelis, Julius ELSEVIER, 2017, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:262 ; year:2017 ; pages:8-27 ; extent:20 |
| Links: |
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| DOI / URN: |
10.1016/j.pepi.2016.10.007 |
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ELV036223530 |
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| 520 | |a • We study Earth’s dipole reversals by low-dimensional models and data assimilation. • We investigate if reversals can be predicted coarsely to occur during time-windows. • Paleointensity data do not have a threshold below which reversals necessarily occur. • Paleointensity data can be assimilated to make reliable predictions of reversals. | ||
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Coarse predictions of dipole reversals by low-dimensional modeling and data assimilation |
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• We study Earth’s dipole reversals by low-dimensional models and data assimilation. • We investigate if reversals can be predicted coarsely to occur during time-windows. • Paleointensity data do not have a threshold below which reversals necessarily occur. • Paleointensity data can be assimilated to make reliable predictions of reversals. |
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• We study Earth’s dipole reversals by low-dimensional models and data assimilation. • We investigate if reversals can be predicted coarsely to occur during time-windows. • Paleointensity data do not have a threshold below which reversals necessarily occur. • Paleointensity data can be assimilated to make reliable predictions of reversals. |
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• We study Earth’s dipole reversals by low-dimensional models and data assimilation. • We investigate if reversals can be predicted coarsely to occur during time-windows. • Paleointensity data do not have a threshold below which reversals necessarily occur. • Paleointensity data can be assimilated to make reliable predictions of reversals. |
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Coarse predictions of dipole reversals by low-dimensional modeling and data assimilation |
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