[1793] - Long-Term Observations and High-Resolution Modeling of Midlatitude Nocturnal Boundary Layer Processes Connected to Low-Level Jets

All available metadata of the dataset is listed below. Some features are available, e.g. download of dataset or additional description file.

By downloading files from this dataset you accept the license terms of TR32DB Data policy agreement and TR32DBData Protection Statement.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
Marke, T., Crewell, S., Schemann, V., Schween, J., Tuononen, M., 2018. Long-Term Observations and High-Resolution Modeling of Midlatitude Nocturnal Boundary Layer Processes Connected to Low-Level Jets. Journal of Applied Meteorology and Climatology, 57, 1155 - 1170. DOI: 10.1175/JAMC-D-17-0341.1.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Title(s):Main Title: Long-Term Observations and High-Resolution Modeling of Midlatitude Nocturnal Boundary Layer Processes Connected to Low-Level Jets
Description(s):Abstract: Low-level jet (LLJ) periods are investigated by exploiting a long-term record of ground-based remote sensing Doppler wind lidar measurements supported by tower observations and surface flux measurements at the Jülich ObservatorY for Cloud Evolution (JOYCE), a mid-latitude site in western Germany. LLJs can be found in 13% of the time during the continuous observations of over four years. The climatology of the LLJs shows the prevailing nighttime appearance of the jets, with a median height of 375 m and a median wind speed of 8.8 m s^-1 at the jet nose. Significant turbulence below the jet nose only occurs for high bulk wind shear, which is an important parameter for describing the turbulent characteristics of the jets. The numerous LLJs (16% of all jets) in the range of wind turbine rotor heights below 200 m demonstrates the importance of LLJs and the associated intermittent turbulence for wind energy applications. Also, a decrease in surface fluxes and an accumulation of CO_2 are observed if LLJs are present. The comprehensive analysis of an LLJ case exhibits the influence of the surrounding topography, dominated by an open pit mine and a 200 m high hill, on the wind observed at JOYCE. Complementing the measurements with high resolution large-eddy simulations, the spatial distribution of the wind field shows variations connected with the orographic flow depending on the wind direction, causing a high variability in the long-term measurements of the vertical velocity.
Identifier(s):DOI: 10.1175/JAMC-D-17-0341.1
Responsible Party
Creator(s):Author: Tobias Marke
Author: Susanne Crewell
Author: Vera Schemann
Author: Jan Schween
Author: Minttu Tuononen
Publisher:American Meteorological Society
TR32 Topic:Atmosphere
Related Sub-project(s):D2
Subject(s):CRC/TR32 Keywords: Atmosphere, Remote Sensing, LES, Wind
Topic Category:ClimatologyMeteorologyAtmosphere
File Details
File Name:marke_et_al_jamc_2018.pdf
Data Type:Text
File Size:1835 kB (1.792 MB)
Date(s):Date Submitted: 2017-12-06
Date Accepted: 2018-03-18
Available: 2018-05-17
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
North:-no map data
Measurement Region:Ellebach
Measurement Location:Jülich (research centre)
Specific Informations - Publication
Article Type:Journal
Source:Journal of Applied Meteorology and Climatology
Number Of Pages:16
Page Range:1155 - 1170
Metadata Details
Metadata Creator:Tobias Marke
Metadata Created:2018-05-02
Metadata Last Updated:2018-06-18
Funding Phase:3
Metadata Language:English
Metadata Version:V42
Metadata Export
Metadata Export:
Select the XML download format.
Dataset Metrics
Page Visits:330
Metadata Downloads:0
Dataset Downloads:2
Dataset Activity