scholarly journals Single-Column Model Intercomparison for a Stably Stratified Atmospheric Boundary Layer

2005 ◽  
Vol 118 (2) ◽  
pp. 273-303 ◽  
Author(s):  
J. Cuxart ◽  
A. A. M. Holtslag ◽  
R. J. Beare ◽  
E. Bazile ◽  
A. Beljaars ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Model Intercomparison ◽  
Column Model ◽  
Single Column ◽  
Single Column Model

scholarly journals A single-column model intercomparison of a heavily drizzling stratocumulus-topped boundary layer

2007 ◽  
Vol 112 (D24) ◽  
Author(s):  
Matthew C. Wyant ◽  
Christopher S. Bretherton ◽  
Andreas Chlond ◽  
Brian M. Griffin ◽  
Hiroto Kitagawa ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Model Intercomparison ◽  
Column Model ◽  
Single Column ◽  
Single Column Model

scholarly journals Improving Wind Predictions in the Marine Atmospheric Boundary Layer through Parameter Estimation in a Single-Column Model

2016 ◽  
Vol 145 (1) ◽  
pp. 5-24 ◽  
Author(s):  
Jared A. Lee ◽  
Joshua P. Hacker ◽  
Luca Delle Monache ◽  
Branko Kosović ◽  
Andrew Clifton ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Parameter Estimation ◽  
Atmospheric Boundary Layer ◽  
Weather Prediction ◽  
Sea Surface ◽  
Offshore Wind ◽  
Forecast Errors ◽  
Column Model ◽  
Single Column ◽  
Single Column Model

Abstract A current barrier to greater deployment of offshore wind turbines is the poor quality of numerical weather prediction model wind and turbulence forecasts over open ocean. The bulk of development for atmospheric boundary layer (ABL) parameterization schemes has focused on land, partly because of a scarcity of observations over ocean. The 100-m FINO1 tower in the North Sea is one of the few sources worldwide of atmospheric profile observations from the sea surface to turbine hub height. These observations are crucial to developing a better understanding and modeling of physical processes in the marine ABL. In this study the WRF single-column model (SCM) is coupled with an ensemble Kalman filter from the Data Assimilation Research Testbed (DART) to create 100-member ensembles at the FINO1 location. The goal of this study is to determine the extent to which model parameter estimation can improve offshore wind forecasts. Combining two datasets that provide lateral forcing for the SCM and two methods for determining , the time-varying sea surface roughness length, four WRF-SCM/DART experiments are conducted during the October–December 2006 period. The two methods for determining are the default Fairall-adjusted Charnock formulation in WRF and use of the parameter estimation techniques to estimate in DART. Using DART to estimate is found to reduce 1-h forecast errors of wind speed over the Charnock–Fairall ensembles by 4%–22%. However, parameter estimation of does not simultaneously reduce turbulent flux forecast errors, indicating limitations of this approach and the need for new marine ABL parameterizations.

scholarly journals Select strengths and biases of models in representing the Arctic winter boundary layer over sea ice: the Larcform 1 single column model intercomparison

2016 ◽  
Vol 8 (3) ◽  
pp. 1345-1357 ◽  
Author(s):  
Felix Pithan ◽  
Andrew Ackerman ◽  
Wayne M. Angevine ◽  
Kerstin Hartung ◽  
Luisa Ickes ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Sea Ice ◽  
The Arctic ◽  
Model Intercomparison ◽  
Column Model ◽  
Single Column ◽  
Single Column Model

scholarly journals A single-column model intercomparison on the stratocumulus representation in present-day and future climate

2015 ◽  
Vol 7 (2) ◽  
pp. 617-647 ◽  
Author(s):  
S. Dal Gesso ◽  
J. J. van der Dussen ◽  
A. P. Siebesma ◽  
S. R. de Roode ◽  
I. A. Boutle ◽  
...  
Keyword(s):  
Future Climate ◽  
Model Intercomparison ◽  
Column Model ◽  
Single Column ◽  
Single Column Model

The diurnal cycle of shallow cumulus clouds over land: A single-column model intercomparison study

2004 ◽  
Vol 130 (604) ◽  
pp. 3339-3364 ◽  
Author(s):  
Geert Lenderink ◽  
A. Pier Siebesma ◽  
Sylvain Cheinet ◽  
Sarah Irons ◽  
Colin G. Jones ◽  
...  
Keyword(s):  
Diurnal Cycle ◽  
Model Intercomparison ◽  
Cumulus Clouds ◽  
Column Model ◽  
Shallow Cumulus ◽  
Single Column ◽  
Single Column Model ◽  
Intercomparison Study

scholarly journals A two‐fluid single‐column model of the dry, shear‐free, convective boundary layer

2019 ◽  
Vol 145 (721) ◽  
pp. 1535-1550 ◽  
Author(s):  
John Thuburn ◽  
Georgios A. Efstathiou ◽  
Robert J. Beare
Keyword(s):  
Boundary Layer ◽  
Convective Boundary Layer ◽  
Convective Boundary ◽  
Column Model ◽  
Single Column ◽  
Single Column Model ◽  
Two Fluid

scholarly journals Diurnal course analysis of the WRF-simulated and observation-based planetary boundary layer height

2014 ◽  
Vol 11 (1) ◽  
pp. 83-88 ◽  
Author(s):  
H. Breuer ◽  
F. Ács ◽  
Á. Horváth ◽  
P. Németh ◽  
K. Rajkai
Keyword(s):  
Boundary Layer ◽  
Planetary Boundary Layer ◽  
Late Summer ◽  
Weather Conditions ◽  
Diurnal Changes ◽  
Column Model ◽  
Boundary Layer Height ◽  
Simulation Based ◽  
Single Column ◽  
Single Column Model

Abstract. Weather Research and Forecasting (WRF) single-column model simulations were performed in the late summer of 2012 in order to analyse the diurnal changes of the planetary boundary layer (PBL). Five PBL schemes were tested with the WRF. From the radiometer and wind-profiler measurements at one station, derived PBL heights were also compared to the simulations. The weather conditions during the measurement period proved to be dry; the soil moisture was below wilting point 85 percent of the time. Results show that (1) simulation-based PBL heights are overestimated by about 500–1000 m with respect to the observation-based PBL heights, and (2) PBL height deviations between different observation-based methods (around 700 m in the midday) are comparable with PBL height deviations between different model schemes used in the WRF single-column model. The causes of the deviations are also discussed. It is shown that in the estimation of the PBL height the relevance of the atmospheric profiles could be as important as the relevance of the estimation principles.

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