Brightness Temperatures (Falkenberg near Richard-Assmann-Observatory), Microwave Radiometer Observations

DOI:10.25592/uhhfdm.10197

Access

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2021,

Dataset Author

Löhnert, Ulrich (1); Knist, Christine (2); Böck, Tobias (1); Bernhard Pospichal (1), Institution: (1) University of Cologne; (2) Affiliation: DWD Lindenberg

Description

This data set contains level1 (brightness temperatures) and level2 (retrieved meteorological variables) of the four ground-based microwave radiometers (MWR) measuring during FESSTVaL 2021 (May-August) at Lindenberg (2 MWR, dwd and uzk), Falkenberg (1 MWR, uzk) and Birkholz (1 MWR, uhh). For each MWR you find up to seven data file types. 1.) Up to two level1 data file types: arbritrary viewing direction (e.g. *mwr00_l1_tb_*) and boundary layer scans (e.g. *mwrBL00_l1_tb_*) 2.) Up to five level2 data file types: path integrated liquid water path (e.g. *_mwr00_l2_clwvi_*), path integrated water vapor (e.g. *_mwr00_l2_prw_*), coarse vertical resolution water vapor profiles (e.g. *_mwr00_l2_hua_*), coarse vertical resolution temperature profiles (*_mwr00_l2_ta_*), ABL temperature profiles (e.g. *_mwrBL00_l2_ta_*) mwr00 (mwr01) file types are on a typical temporal resolution of 1-2 seconds, whereas mwrBL00 (mwrBL01) are on a temporal resolution on the order of minutes (3-15), depending on the instrument. The level2 data sets have been derived by means of multi-variate regression. They rely on long-term radiosonde data sets for training. Note, that ocasionally liquid water path values can be slightly negative due to statistical error.

Limitations: Quality: All data files are provided with quality flags that are described in the netcdf file headers. Exclude flagged data from automatic analyses, for case studies, use flagged data with care and contact the responsible person named in the file header in case of any doubt. Integrated liquid water and water vapor from ground-based MWR are amongst the most accurate methods available. Temperature and humidity profiles are only coarsly resolved in the vertical, are, however, continuously available. Temperature vertical resolution decrease quickly with height from tens of meters close to the surface to hundreds of meters at the top of the ABL. Use *_mwrBL00_l2_ta_* profiles for the most accurate temperature profile in the ABL. Humidity profiles contain only roughly two independent pieces of information throughout the whole troposhere. All level2 data products are delivered with an uncertainty specification.
Provenance: none
Comments: "This data has been processed with mwrpro-v04 by University of Cologne. This current SAMD v01 data version now includes file content and naming conventions adjusted to meet the SAMD requirements. In addition improved quality control flags as well as uncertainty estimates have been included.

Instrument 1

Source: RPG HATPRO G1/G5 microwave radiometer SUNHAT
Descriptive Instrument location: Falkenberg, BL observation measurement field of Richard-Assmann-Observatory, DWD
Instruments altitude: none
Coordinates (Latitude, Longitude): 52.1671 °N 14.1221 °E
Height: none
Horizontal resolution: none [m]
Vertical resolution: none [m]
Time resolution: 2.5 [s]

Global information

PID: de.hamburg.icdc/amd.de.fval/uzk.mwr01.l1.tb
Standard: SAMD v2.2, https://doi.org/10.25592/uhhfdm.9902
Project: FESSTVAL
Level: 1
Updated version: 01
File format: NETCDF4
Convention: CF-1.7 where applicable
Average File Size Uncompressed: 6 Mb
File name: fval_uzk_mwr01_l1_tb_v[VV]_[YYYYMMDDhhmmss].nc
Start: 2021-05-03
End: 2021-09-06

Variables

Name	Dimension	CF standard_name	long_name	Unit
hur	time	relative_humidity	ambient relative humidity measured by sensor on microwave radiometer	1
pa	time	air_pressure	ambient air pressure measured by sensor on microwave radiometer	Pa
ta	time	air_temperature	ambient air temperature measured by sensor on microwave radiometer	K
tb	time, n_freq	brightness_temperature	brightness temperatures	K
tb_absolute_accuracy	n_freq		total calibration uncertainty of brightness temperature, one standard deviation	K
tb_bias_estimate	time, n_freq		brightness temperature offset subtracted from measured brightness temperature	K
tb_cov	n_freq2, n_freq		error covariance matrix of brightness temperature channels	K*K
tb_irp	time, n_wl_irp		infrared pyrometer brightness temperature	K
wl_irp	n_wl_irp		infrared pyrometer central wavelength	micrometer
zsl		altitude	altitude above mean sea level	m

Institution

(1) University of Cologne; (2) Affiliation: DWD Lindenberg

Contact Person(s)

Ulrich Loehnert (ulrich.loehnert@uni-koeln.de), Institute of Geophysics and Meteorology, University of Cologne

References

Loehnert, U., and S. Crewell: Accuraccy of cloud liquid water path from ground-based microwave radiometry. Part I: Dependency on Cloud model statistics, (2003), Radio Science, 38(3), 8041, 2003, doi:10.1029/2002RS002654.

Crewell, S., and U. Löhnert: Accuraccy of cloud liquid water path from ground-based microwave radiometry. Part II. Sensor accuracy and synergy., (2003), Radio Science, 38(3), 8042, 2003, doi:10.1029/2002RS002634

Crewell, S., and U. Löhnert: Accuracy of boundary layer temperature profiles retrieved with multi-frequency, multi-angle microwave radiometry., (2007), IEEE Transactions on Geoscience and Remote Sensing, 45(7), 2195-2201, doi:10.1109/TGRS.2006.888434

Löhnert, U. and Maier, O.: Operational profiling of temperature using ground-based microwave radiometry at Payerne: prospects and challenges, (2012), Atmos. Meas. Tech., 5, 1121-1134, doi:10.5194/amt-5-1121-2012

Steinke, S., S. Eikenberg, U. Löhnert, G. Dick, D. Klocke, P. Di Girolamo, and S. Crewell: Assessment of Small-Scale Integrated Water Vapour Variability During HOPE, Atmospheric Chemistry and Physics, (2015), Atmos. Chem. Phys., 15, 2675-2692, doi:10.5194/acp-15-2675-2015

Löhnert, Ulrich; Knist, Christine; Böck, Tobias; Pospichal, Bernhard;: Microwave Radiometer Observations during FESSTVaL 2021 (Version 00), (2022), http://doi.org/10.25592/uhhfdm.10198

Licence

For non-commercial use only. This data is subject to the FESSTVaL data policy to be found at https://doi.org/10.25592/uhhfdm.9890 and in the SAMD Observation Data Product Standard https://doi.org/10.25592/uhhfdm.9902 .