scholarly journals The Usefulness of Piecewise Potential Vorticity Inversion

2012 ◽  
Vol 69 (3) ◽  
pp. 934-941 ◽  
Author(s):  
Bjørn Røsting ◽  
Jón Egill Kristjánsson

Abstract It is today widely accepted that potential vorticity (PV) thinking is a highly useful approach for understanding important aspects of dynamic meteorology and for validation of output from state-of-the-art numerical weather prediction (NWP) models. Egger recently presented a critical view on piecewise potential vorticity inversion (PPVI). This was done by defining a PV anomaly by retaining the observed PV field in a specific region, while changing the observed PV fields to zero elsewhere. Inversion of such a modified PV field yields a flow vastly different from the observed. On the basis of this result it was argued that PPVI is useless for understanding the dynamics of the flow. The present paper argues that the results presented by Egger are incomplete in the context of PPVI, since the complementary cases were not considered and that the results also depend on the idealized model formulations. The complementary case is defined by changing the observed PV to zero in the specific region, while retaining the observed PV field elsewhere. By including the complementary cases, it can be demonstrated that the streamfunction fields associated with the PV and boundary temperature anomalies presented by Egger add up to yield the observed streamfunction field, as expected if PPVI is to be valid. It follows that PPVI is indeed valid and useful in these cases.

2021 ◽  
pp. 068
Author(s):  
Ján Mašek

Cet article résume les activités de Jean-François Geleyn qui ont abouti à un schéma de rayonnement de pointe adapté à la prévision numérique du temps. L'objectif principal - traiter les interactions nuage-rayonnement - a été atteint grâce à une amélioration considérable de l'approche à bandes larges (la vision avec deux seuls intervalles spectraux, l'un pour les courtes longueurs d'onde pour le rayonnement solaire, l'autre pour les grandes longueurs d'onde pour le rayonnement thermique), en ouvrant la voie à un appel intermittent du schéma dans le temps. Le schéma qui en résulte offre une alternative compétitive par rapport aux approches traditionnelles en « k-distribution corrélée » utilisant des méthodes plus précises mais plus coûteuses, méthodes qui ne permettent pas la mise à jour en temps réel des effets radiatifs des nuages. The paper summarizes the activities of Jean-François Geleyn leading to a state-of-the-art radiation scheme tailored for numerical weather prediction. The main goal - dealing with cloud-radiation interactions - was reached thanks to significant improvements to the broadband approach allowing for single shortwave and single longwave intervals, opening a way to selective intermittency. The resulting scheme offers an alternative competitive to the mainstream approach that uses very accurate but expensive correlated k-distribution method, not allowing for timely update of cloud radiative effects.


2009 ◽  
Vol 137 (1) ◽  
pp. 161-188 ◽  
Author(s):  
Dorothy Durnford ◽  
John Gyakum ◽  
Eyad Atallah

Abstract Satellites are uniquely capable of providing uniform data coverage globally. Motivated by such capability, this study builds on a previously described methodology that generates numerical weather prediction (NWP) model initial conditions (ICs) from satellite total column ozone (TCO) data. The methodology is based on three principal steps: 1) conversion of TCO to mean potential vorticity (MPV) via linear regression, 2) conversion of two-dimensional MPV to three-dimensional potential vorticity (PV) via vertical mapping onto average PV profiles, and 3) inversion of the three-dimensional PV field to obtain model-initializing height, temperature, and wind fields in the mid- and upper troposphere. The overall accuracy of the process has been significantly increased through a substantial reworking of the details of this previous version. For instance, in recognition of the fact that TCO ridges tend to be less reliable than troughs, the authors vertically map an MPV field that is a synthesis of ozone-derived MPV troughs and analysis MPV ridges. The vertical mapping procedure itself produces a more physical three-dimensional PV field by eliminating unrealistically strong features at upper levels. It is found that the ozone-influenced upper-level initializing fields improve the quantitative precipitation forecast (QPF) of the 24–25 January 2000 East Coast snowstorm for two of the three (re)analyses. Furthermore, the best QPF involves ozone-influenced upper-level initializing fields. Its high threat scores reflect a superior placement, amplitude, and structure. This best QPF is apparently superior to a forecast of the same case where TCO data were assimilated using four-dimensional variational data assimilation.


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