Molecular dissipation of turbulent fluctuations in the convective mixed layer part II: Height variations of characteristic time scales and experimental test of molecular dissipation models

1983 ◽  
Vol 27 (3) ◽  
pp. 257-279 ◽  
Author(s):  
H. Isaka ◽  
B. Guillemet
2011 ◽  
Vol 12 (1) ◽  
pp. 27-44 ◽  
Author(s):  
Michael Kunz

Abstract Simulations of orographic precipitation over the low mountain ranges of southwestern Germany and eastern France with two different physics-based linear precipitation models are presented. Both models are based on 3D airflow dynamics from linear theory and consider advection of condensed water and leeside drying. Sensitivity studies for idealized conditions and a real case study show that the amount and spatial distribution of orographic precipitation is strongly controlled by characteristic time scales for cloud and hydrometeor advection and background precipitation due to large-scale lifting. These parameters are estimated by adjusting the model results on a 2.5-km grid to observed precipitation patterns for a sample of 40 representative orography-dominated stratiform events (24 h) during a calibration period (1971–80). In general, the best results in terms of lowest rmse and bias are obtained for characteristic time scales of 1600 s and background precipitation of 0.4 mm h−1. Model simulations of a sample of 84 events during an application period (1981–2000) with fixed parameters demonstrate that both models are able to reproduce quantitatively precipitation patterns obtained from observations and reanalyses from a numerical model [Consortium for Small-scale Modeling (COSMO)]. Combining model results with observation data shows that heavy precipitations over mountains are restricted to situations with strong atmospheric forcings in terms of synoptic-scale lifting, horizontal wind speed, and moisture content.


1999 ◽  
Vol 90 (1) ◽  
pp. 47-82 ◽  
Author(s):  
Margaret a. Lemone ◽  
Mingyu Zhou ◽  
Chin-Hoh Moeng ◽  
Donald H. Lenschow ◽  
L. Jay Miller ◽  
...  

2018 ◽  
Vol 97 (17) ◽  
Author(s):  
Xiaofu Zhang ◽  
Adriana E. Lita ◽  
Mariia Sidorova ◽  
Varun B. Verma ◽  
Qiang Wang ◽  
...  

2019 ◽  
Vol 9 (20) ◽  
pp. 4351
Author(s):  
Ghafour Hashemvand Shakarab ◽  
Reza Kheradmand ◽  
Mohammad Agha Bolorizadeh ◽  
Franco Prati

A semiconductor ring laser with a long cavity supports propagating localised structures with a chiral charge, named phase solitons. In this paper we study the dependence of the velocity and of the duration of the phase solitons on the characteristic time scales of the laser, namely the photon lifetime and the carrier lifetime. We show numerically that phase solitons are stable over a large range of those parameters and verify that the propagation velocity decreases linearly with the ratio of the carrier lifetime to the photon lifetime, while the duration is proportional to the ratio of the carrier lifetime to the cavity roundtrip time.


Langmuir ◽  
1992 ◽  
Vol 8 (2) ◽  
pp. 514-517 ◽  
Author(s):  
P. Schaaf ◽  
P. Dejardin ◽  
A. Johner ◽  
A. Schmitt

2005 ◽  
Vol 18 (20) ◽  
pp. 4168-4184 ◽  
Author(s):  
Gregory R. Foltz ◽  
Michael J. McPhaden

Abstract Recent observations have shown evidence of intraseasonal oscillations (with periods of approximately 1–2 months) in the northern and southern tropical Atlantic trade winds. In this paper, the oceanic response to the observed intraseasonal wind variability is addressed through an analysis of the surface mixed layer heat balance, focusing on three locations in the northwestern tropical Atlantic where in situ measurements from moored buoys are available (14.5°N, 51°W; 15°N, 38°W; and 18°N, 34°W). It is found that local heat storage at all three locations is balanced primarily by wind-induced latent heat loss, which is the same mechanism that is believed to play a dominant role on interannual and decadal time scales in the region. It is also found that the intraseasonal wind speed oscillations are linked to changes in surface wind convergence and convection over the western equatorial Atlantic warm pool. These atmospheric circulation anomalies and wind-induced SST anomalies potentially feed back on one another to affect longer time-scale variability in the region.


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