| Title |
From Near-Neutral to Strongly Stratified: Adequately Modelling the Clear-Sky Nocturnal Boundary Layer at Cabauw
|
|---|---|
| Published in |
Boundary-Layer Meteorology, October 2017
|
| DOI | 10.1007/s10546-017-0304-8 |
| Pubmed ID | |
| Authors |
P. Baas, B. J. H. van de Wiel, S. J. A. van der Linden, F. C. Bosveld |
| Abstract |
The performance of an atmospheric single-column model (SCM) is studied systematically for stably-stratified conditions. To this end, 11 years (2005-2015) of daily SCM simulations were compared to observations from the Cabauw observatory, The Netherlands. Each individual clear-sky night was classified in terms of the ambient geostrophic wind speed with a [Formula: see text] bin-width. Nights with overcast conditions were filtered out by selecting only those nights with an average net radiation of less than [Formula: see text]. A similar procedure was applied to the observational dataset. A comparison of observed and modelled ensemble-averaged profiles of wind speed and potential temperature and time series of turbulent fluxes showed that the model represents the dynamics of the nocturnal boundary layer (NBL) at Cabauw very well for a broad range of mechanical forcing conditions. No obvious difference in model performance was found between near-neutral and strongly-stratified conditions. Furthermore, observed NBL regime transitions are represented in a natural way. The reference model version performs much better than a model version that applies excessive vertical mixing as is done in several (global) operational models. Model sensitivity runs showed that for weak-wind conditions the inversion strength depends much more on details of the land-atmosphere coupling than on the turbulent mixing. The presented results indicate that in principle the physical parametrizations of large-scale atmospheric models are sufficiently equipped for modelling stably-stratified conditions for a wide range of forcing conditions. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 30% |
| Researcher | 7 | 18% |
| Student > Master | 4 | 10% |
| Professor | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 12 | 30% |
| Environmental Science | 11 | 28% |
| Engineering | 7 | 18% |
| Physics and Astronomy | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 October 2017.
All research outputs
#14,956,881
of 23,005,189 outputs
Outputs from Boundary-Layer Meteorology
#488
of 725 outputs
Outputs of similar age
#191,243
of 324,048 outputs
Outputs of similar age from Boundary-Layer Meteorology
#4
of 11 outputs
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