التفاصيل البيبلوغرافية
العنوان: |
Boundary-layer turbulent processes and mesoscale variability represented by numerical weather prediction models during the BLLAST campaign. |
المؤلفون: |
Couvreux, Fleur, Bazile, Eric, Canut, Guylaine, Seity, Yann, Lothon, Marie, Lohou, Fabienne, Guichard, Françoise, Nilsson, Erik, LeMone, M. |
المصدر: |
Atmospheric Chemistry & Physics; 2016, Vol. 16 Issue 14, p8983-9002, 20p, 3 Charts, 10 Graphs, 2 Maps |
مصطلحات موضوعية: |
ATMOSPHERIC boundary layer, NUMERICAL weather forecasting, TURBULENCE, KINETIC energy, HEAT flux |
مستخلص: |
This study evaluates the ability of three operational models, with resolution varying from 2.5 to 16 km, to predict the boundary-layer turbulent processes and mesoscale variability observed during the Boundary Layer Late-Afternoon and Sunset Turbulence (BLLAST) field campaign. We analyse the representation of the vertical profiles of temperature and humidity and the time evolution of nearsurface atmospheric variables and the radiative and turbulent fluxes over a total of 12 intensive observing periods (IOPs), each lasting 24 h. Special attention is paid to the evolution of the turbulent kinetic energy (TKE), which was sampled by a combination of independent instruments. For the first time, this variable, a central one in the turbulence scheme used in AROME and ARPEGE, is evaluated with observations. In general, the 24 h forecasts succeed in reproducing the variability from one day to another in terms of cloud cover, temperature and boundary-layer depth. However, they exhibit some systematic biases, in particular a cold bias within the daytime boundary layer for all models. An overestimation of the sensible heat flux is noted for two points in ARPEGE and is found to be partly related to an inaccurate simplification of surface characteristics. AROME shows a moist bias within the daytime boundary layer, which is consistent with overestimated latent heat fluxes. ECMWF presents a dry bias at 2m above the surface and also overestimates the sensible heat flux. The high-resolution model AROME resolves the vertical structures better, in particular the strong daytime inversion and the thin evening stable boundary layer. This model is also able to capture some specific observed features, such as the orographically driven subsidence and a welldefined maximum that arises during the evening of the water vapour mixing ratio in the upper part of the residual layer due to fine-scale advection. The model reproduces the order of magnitude of spatial variability observed at mesoscale (a few tens of kilometres). AROME provides a good simulation of the diurnal variability of the turbulent kinetic energy, while ARPEGE shows the right order of magnitude. [ABSTRACT FROM AUTHOR] |
|
Copyright of Atmospheric Chemistry & Physics is the property of Copernicus Gesellschaft mbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
قاعدة البيانات: |
Complementary Index |