Boundary layer classification from remote sensing at Iquique for January 2019

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Title:Main Title: Boundary layer classification from remote sensing at Iquique for January 2019
Description:Abstract: Classification of the state of the atmospheric boundary layer at Diego Aracena Aitport, Iquique, Chile. Profiles of vertical and horizontal wind speed and backscatter coefficient (measured with a Doppler Wind Lidar) as well as thermal stratification at the surface (Thermo-Hygrometers at ~1m and ~2m height) are used to identify height regions without and with turbulence, clouds and precipitation . In a second step the sources of this turbulence are identified (clouds, surface heating or wind shear). For details of the method see Manninen, A., T. Marke, E. O'Connor, and M. Tuononen, 2018: Atmospheric boundary layer classification with Doppler lidar, J. Geophys. Res. , 123, DOI:10.1029/2017JD028169. For additonal plots see: http://tiny.cc/iqq_cn_bl_class
Related Resources:Describes 10.1029/2017JD028169 (DOI)
Is Part Of http://tiny.cc/iqq_cn_bl_class (URL)
Citation Advice:T. Marke, J.H. Schween, U. Löhnert (2020): Boundary layer classification from remote sensing at Iquique.
Responsible Party
Creators:Jan Schween (Distributor), Tobias Marke (Processor), Ulrich Löhnert (Principal Investigator)
Publisher:CRC1211 Database (CRC1211DB)
Publication Year:2020
Topic
CRC1211 Topic:Climate
Related Subproject:A1
Subjects:Keywords: Meteorology, Remote Sensing, LiDAR, Stratocumulus, Wind
Geogr. Information Topic:Climatology/Meteorology/Atmosphere
File Details
Filename:cn_bl_iqq_2019_01.zip
Data Type:Dataset - Dataset
File Size:2.1 MB
Dates:Created: 28.04.2019
Valid: 01.01.2019
Mime Type:application/zip
Data Format:NetCDF (classic)
Language:English
Status:In Process
Constraints
Download Permission:Only Project Members
General Access and Use Conditions:According to the CRC1211DB data policy agreement.
Access Limitations:According to the CRC1211DB data policy agreement.
Licence:[CRC1211DB] Data policy agreement
Geographic
Specific Information - Data
Temporal Extent:01.01.2019, 00:00:00 - 31.01.2019, 23:59:00
Lineage:Profiles of vertical and horizontal wind speed and backscatter coefficient (measured with a Doppler Wind Lidar) as well as thermal stratification at the surface (Thermo-Hygrometers at ~1m and ~2m height) are used to identify height regions without and with turbulence, clouds and precipitation . In a second step the sources of this turbulence are identified (clouds, surface heating or wind shear).
Subtype:Natural Science Data
Instrument:Doppler Wind Lidar [Streamline XR]
Metadata Details
Metadata Creator:Jan Schween
Metadata Created:07.01.2020
Metadata Last Updated:07.01.2020
Subproject:A1
Funding Phase:1
Metadata Language:English
Metadata Version:V50
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