Abstract

Abstract. Ground-based microwave radiometers (MWR) are becoming more and more common for remotely sensing the atmospheric temperature and humidity profile as well as path-integrated cloud liquid water content. The calibration accuracy of the state-of-the-art MWR HATPRO-G2 (Humidity And Temperature Profiler – Generation 2) was investigated during the second phase of the Radiative Heating in Underexplored Bands Campaign (RHUBC-II) in northern Chile (5320 m above mean sea level, 530 hPa) conducted by the Atmospheric Radiation Measurement (ARM) program conducted between August and October 2009. This study assesses the quality of the two frequently used liquid nitrogen and tipping curve calibrations by performing a detailed error propagation study, which exploits the unique atmospheric conditions of RHUBC-II. Both methods are known to have open issues concerning systematic offsets and calibration repeatability. For the tipping curve calibration an uncertainty of ±0.1 to ±0.2 K (K-band) and ±0.6 to ±0.7 K (V-band) is found. The uncertainty in the tipping curve calibration is mainly due to atmospheric inhomogeneities and the assumed air mass correction for the Earth curvature. For the liquid nitrogen calibration the estimated uncertainty of ±0.3 to ±1.6 K is dominated by the uncertainty of the reflectivity of the liquid nitrogen target. A direct comparison between the two calibration techniques shows that for six of the nine channels that can be calibrated with both methods, they agree within the assessed uncertainties. For the other three channels the unexplained discrepancy is below 0.5 K. Systematic offsets, which may cause the disagreement of both methods within their estimated uncertainties, are discussed.

Highlights

  • Passive remote sensing instruments are widely used to retrieve atmospheric state variables

  • The HATPRO-G2 is a 14-channel total-power microwave radiometer measuring within the K- and the V-band, allowing high temporal resolution Precipitable Water Vapor (PWV), Liquid Water Path (LWP), humidity and temperature profile retrievals from brightness temperature measurements

  • The stability of g for the V-band channels is guaranteed by injecting noise periodically – with a frequency of 10 Hz – while the radiometer is pointing to an arbitrary scene (Tscene)

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Summary

Introduction

Passive remote sensing instruments are widely used to retrieve atmospheric state variables. Compared to radiosonde profiles, temperature profiles derived from radiometric measurements can show biases up to 1 K (Liljegren, 2002; Löhnert and Maier, 2012) It is still unknown whether these originate from uncertainties in the oxygen absorption line parameters or from inaccuracies in the radiometer’s absolute calibration. On the one hand, Cadeddu et al (2007) evaluate oxygen absorption characteristics around 60 GHz by radiometer measurements and test different sets of absorption coefficients They show that different sets of oxygen absorption line parameters lead to retrieved temperature profiles that may differ by more than 2 K.

Measurement campaign
Radiometer calibration
Liquid nitrogen calibration
Tipping curve calibration
Noise diode calibration
Hot load calibration
Boiling point correction
Refractive index of liquid nitrogen
Non-linearity parameter
Hot load temperature
Repeatability and validity
Mean radiative temperature
Air mass correction
Beam width correction
Pointing error
Quality control and results
Summary and discussion
Comparative assessment
Findings
Outlook
Full Text
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