- AutorIn
- Vera Schemann
- Bjorn Stevens
- Verena Grützun
- Johannes Quaas
- Titel
- Scale dependency of total water variance and its implication for cloud parameterizations
- Untertitel
- Scale dependency of total water variance and its implication for cloudparameterizations
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa-177479
- Quellenangabe
- Journal of the atmospheric sciences (2013) 70, S. 3615-3630
- Erstveröffentlichung
- 2013
- Abstract (EN)
- The scale dependency of variance of total water mixing ratio is explored by analyzing data from a general circulation model (GCM), a numerical weather prediction model (NWP), and large-eddy simulations (LESs). For clarification, direct numerical simulation (DNS) data are additionally included, but the focus is placed on defining a general scaling behavior for scales ranging from global down to cloud resolving. For this, appropriate power-law exponents are determined by calculating and approximating the power density spectrum. The large-scale models (GCM and NWP) show a consistent scaling with a power-law exponent of approximately 22. For the high-resolution LESs, the slope of the power density spectrum shows evidence of being somewhat steeper, although the estimates are more uncertain. Also the transition between resolved and parameterized scales in a current GCM is investigated. Neither a spectral gap nor a strong scale break is found, but a weak scale break at high wavenumbers cannot be excluded. The evaluation of the parameterized total water variance of a state-of-the-art statistical scheme shows that the scale dependency is underestimated by this parameterization. This study and the discovered general scaling behavior emphasize the need for a development of scale-dependent parameterizations.
- Andere Ausgabe
- Link zur Originalpublikation in der Zeitschrift Journal of the atmospheric sciences
Link: http://dx.doi.org/10.1175/JAS-D-13-09.1 - Freie Schlagwörter (DE)
- Globales Zirkulationsmodell, Wolken, Atmosphöre
- Freie Schlagwörter (EN)
- general circulation model (GCM), clouds, atmosphere
- Klassifikation (DDC)
- 551
- Herausgeber (Institution)
- Max-Planck-Institut für Meteorologie, Hamburg
- Universität Leipzig, Leipzig
- Verlag
- American Meteorological Society, Boston, Mass., USA
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa-177479
- Veröffentlichungsdatum Qucosa
- 25.08.2015
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch