2016
DOI: 10.5194/amt-9-281-2016
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Characterization of downwelling radiance measured from a ground-based microwave radiometer using numerical weather prediction model data

Abstract: Abstract. The ground-based microwave sounding radiometers installed at nine weather stations of Korea Meteorological Administration alongside with the wind profilers have been operating for more than 4 years. Here we apply a process to assess the characteristics of the observation data by comparing the measured brightness temperature (T b ) with reference data. For the current study, the reference data are prepared by the radiative transfer simulation with the temperature and humidity profiles from the numeric… Show more

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Cited by 14 publications
(8 citation statements)
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“…Each wind profiler was collocated with a ground-based microwave radiometer that measures the downwelling radiance in the form of brightness temperature in the microwave region (Table 2), and it creates a vertical profile of humidity as well as air temperature. These radiometers operated by KMA were installed for nowcasting and for utilization by numerical weather prediction models to complement the wind profilers observations [26]. High temporal resolution data from radiometers can resolve the changing thermodynamic structure of transitioning boundaries, including fronts and gravity waves.…”
Section: Datamentioning
confidence: 99%
See 1 more Smart Citation
“…Each wind profiler was collocated with a ground-based microwave radiometer that measures the downwelling radiance in the form of brightness temperature in the microwave region (Table 2), and it creates a vertical profile of humidity as well as air temperature. These radiometers operated by KMA were installed for nowcasting and for utilization by numerical weather prediction models to complement the wind profilers observations [26]. High temporal resolution data from radiometers can resolve the changing thermodynamic structure of transitioning boundaries, including fronts and gravity waves.…”
Section: Datamentioning
confidence: 99%
“…High temporal resolution data from radiometers can resolve the changing thermodynamic structure of transitioning boundaries, including fronts and gravity waves. A significant potential benefit of radiometers is that they can detect thermodynamic changes on very short time scales, on the order of approximately 10 min, which is far too short to be captured by radiosondes [26]. We used vertical thermodynamic information provided by radiometers and radiosondes to produce CAPE.…”
Section: Datamentioning
confidence: 99%
“…Ground-based multichannel microwave radiometers (GMRs) can continuously observe atmospheric radiation brightness temperature (TB) in K-and V-bands, and provide valuable data on the temperature, water vapor, cloud liquid and humidity structures of the troposphere [1][2][3][4]. The microwave radiometer is a typical remote sensing device and provides very useful data for the detection of mesoscale phenomena that require high spatial and temporal capabilities (e.g., nowcasting convective activity and heavy rain events, boundary layer meteorology, clouds and assimilating GMR data into the WRF precipitation model) [5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…10 km height through a neural network algorithm, it is based on the theory of atmospheric microwave thermal radiation and its transfer in the atmosphere, atmospheric radiation TB at some frequencies in Kand V-bands that derive from atmospheric water vapor, cloud liquid water and molecular oxygen emissions can be observed. At present, MWRs are mainly used to remotely sensing the atmospheric temperature and humidity profiles in the troposphere, many researchers have proved that an MWR can provide valuable data on the temperature and humidity structures of the troposphere (Cadeddu et al, 2013;Ahn et al, 2016;Laura et al, 2017). Furthermore, there are many other applications of MWRs, for example, nowcasting of heavy rain events using microwave radiometer has been carried out at Kolkata (Chakraborty et al, 2014).…”
Section: Introductionmentioning
confidence: 99%