HD(CP)2 short term observations, humidity mixing ratio data of Raman lidar + Microwave radiometer (no. 00), HOPE campaign by LIM, data version 00
Daily files of humidity mixing ratio profiles from a combination of Raman lidar and microwave radiometer
Access
To get a year dataset please use one of the links below to download the wget script:
2013,
Dataset Author
Andreas Foth (andreas.foth@uni-leipzig.de), Institution: Leipzig Institute for MeteorologyDescription
Humidity-mixing-ratio profiles averaged over 5 minutes in time and 90 meters in height, respectively, from a combination of Raman lidar and microwave radiometer. The associated error is also included as well as quality flags. Additionally the cloud base altitude from the 1064nm range-corrected signal from the Raman lidar and the truncation altitude are given. Truncation altitude means where the Raman lidar profile is truncated. Usually at the cloud base. When no Raman lidar water vapour measurements are taken (e.g. during daytime) or when the background noise at the 387nm channel is too high, the truncation altitude is set to the surface. Processing: the Raman lidar signal ratio is first calibrated using the integrated water vapour from the microwave radiometer (MWR). Then a Kalman filter is apllied to these profiles to account for measurement disruption (truncated profiles). The profiles are truncated at the cloud base in case of clouds or at the surface in case of daytime when no Raman lidar water vapour measurements are taken. The cloud base and the truncation altitude are given in the according variables. The Kalman filtered profile serves as the input (a priori) to the one-dimensional variational retrieval (optimal estimation method) wherein the MWR observation serves as measurement variable. The optimal estimated profiles are stored in the humidity mixing ratio variable. Periods without water vapour informations, cloud base from lidar, without MWR measurements, flagged MWR observations, rainy periods or when the retrieval does not find a solution, are marked in the flag variable.
Limitations: The errors above the truncation altitude are higher due to the lower amount of vertical information from the Raman lidar. The profiles in the lowermost 600 m may be biased due to the overlap effect.
Provenance: Original Data from Leibniz Institute for Tropospheric Research, Leipzig, processed by LIM, University of Leipzig
Comments: none
Instrument 1
- Source: Raman lidar PollyXT and microwave radiometer HATPRO
- Descriptive Instrument location: Both instruments are part of the LACROS facility that was installed on the area of a sewage treatment plant in Krauthausen, south of Juelich during the HOPE campaign.
Global information
- PID: de.koeln.rrzk/amd.de.hope/lim.rlmwr00.l4.humr
- Project: HD(CP)2
- Level: 4
- Updated version: 00
- File format: NETCDF3_CLASSIC
- Convention: Based on CF-1.6
- Average File Size Uncompressed: 0.54 Mb
- File name: hope_lim_rlmwr00_l4_humr_v[VV]_[YYYYMMDDhhmmss].nc
- Start: 2013-04-01
- End: 2013-05-31
Variables
Name | Dimension | CF standard_name | long_name | Unit |
---|---|---|---|---|
humr | time, height | humidity_mixing_ratio | humidity mixing ratio | 1 |
humr_err | time, height | humidity mixing ratio error | 1 | |
zcb | time | cloud_base_altitude | cloud base altitude | m |
zsl | altitude | altitude above mean sea level | m |
Institution
Contact Person(s)
Andreas Foth (andreas.foth@uni-leipzig.de)
References
Foth et al.,Water vapour profiles from Raman lidar automatically calibrated by microwave radiometer data during HOPE