From a series of zonal mean global stratospheric tracer measurements sampled in altitude vs. latitude, circulation and mixing patterns are inferred by the inverse solution of the continuity equation. As a first step, the continuity equation is written as a tendency equation, which is numerically integrated over time to predict a later atmospheric state, i.e., mixing ratio and air density. The integration is formally performed by the multiplication of the initially measured atmospheric state vector by a linear prediction operator. Further, the derivative of the predicted atmospheric state with respect to the wind vector components and mixing coefficients is used to find the most likely wind vector components and mixing coefficients which minimize the residual between the predicted atmospheric state and the later measurement of the atmospheric state. Unless multiple tracers are used, this inversion problem is under-determined, and dispersive behavior of the prediction further destabilizes the inversion. Both these problems are addressed by regularization. For this purpose, a first-order smoothness constraint has been chosen. The usefu ... mehr

Zugehörige Institution(en) am KIT |
Fakultät für Physik (PHYSIK) Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF) |

Publikationstyp |
Zeitschriftenaufsatz |

Jahr |
2016 |

Sprache |
Englisch |

Identifikator |
ISSN: 1680-7316, 1680-7324 KITopen ID: 1000064071 |

HGF-Programm |
12.04.05; LK 01 |

Erschienen in |
Atmospheric chemistry and physics |

Band |
16 |

Heft |
22 |

Seiten |
14563-14584 |

Bemerkung zur Veröffentlichung |
Gefördert durch den KIT-Publikationsfonds |

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