2026-05-26T06:54:42Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:73252022-02-25T09:05:21ZDOIDBDOIDB.CRC1211false4DOIDB.CRC1211
10.5880/CRC1211DB.54
Schween, Jan
Jan
Schween
University of Cologne, Institute of Geophysics and Meteorology
Marke, Tobias
Tobias
Marke
0000-0001-7804-9056
University of Cologne, Institute of Geophysics and Meteorology
Löhnert, Ulrich
Ulrich
Löhnert
University of Cologne, Institute of Geophysics and Meteorology
Boundary layer classification from remote sensing at Iquique, March 2018 - March 2019
CRC1211 Database (CRC1211DB)
2020
Climatology/Meteorology/Atmosphere
Meteorology
Remote Sensing
LiDAR
Stratocumulus
Wind
Clouds
28.04.2019
en
Dataset
10.1029/2017JD028169
http://tiny.cc/iqq_cn_bl_class
10.1029/2017JD028169
http://tiny.cc/iqq_cn_bl_class
NetCDF
1
[CRC1211DB] Data policy agreement
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 daily plots see: http://tiny.cc/iqq_cn_bl_class
Northern Focus Area, Chile
-70.17767
-20.53793