Articles | Volume 9, issue 1
https://doi.org/10.5194/amt-9-281-2016
https://doi.org/10.5194/amt-9-281-2016
Research article
 | 
27 Jan 2016
Research article |  | 27 Jan 2016

Characterization of downwelling radiance measured from a ground-based microwave radiometer using numerical weather prediction model data

M.-H. Ahn, H. Y. Won, D. Han, Y.-H. Kim, and J.-C. Ha

Related authors

Spectral replacement using machine learning methods for continuous mapping of the Geostationary Environment Monitoring Spectrometer (GEMS)
Yeeun Lee, Myoung-Hwan Ahn, Mina Kang, and Mijin Eo
Atmos. Meas. Tech., 16, 153–168, https://doi.org/10.5194/amt-16-153-2023,https://doi.org/10.5194/amt-16-153-2023, 2023
Short summary
RTTOV-gb v1.0 – updates on sensors, absorption models, uncertainty, and availability
Domenico Cimini, James Hocking, Francesco De Angelis, Angela Cersosimo, Francesco Di Paola, Donatello Gallucci, Sabrina Gentile, Edoardo Geraldi, Salvatore Larosa, Saverio Nilo, Filomena Romano, Elisabetta Ricciardelli, Ermann Ripepi, Mariassunta Viggiano, Lorenzo Luini, Carlo Riva, Frank S. Marzano, Pauline Martinet, Yun Young Song, Myoung Hwan Ahn, and Philip W. Rosenkranz
Geosci. Model Dev., 12, 1833–1845, https://doi.org/10.5194/gmd-12-1833-2019,https://doi.org/10.5194/gmd-12-1833-2019, 2019
Short summary
A cloud detection algorithm using the downwelling infrared radiance measured by an infrared pyrometer of the ground-based microwave radiometer
M.-H. Ahn, D. Han, H. Y. Won, and V. Morris
Atmos. Meas. Tech., 8, 553–566, https://doi.org/10.5194/amt-8-553-2015,https://doi.org/10.5194/amt-8-553-2015, 2015
Short summary
Introduction of the in-orbit test and its performance for the first meteorological imager of the Communication, Ocean, and Meteorological Satellite
D. H. Kim and M. H. Ahn
Atmos. Meas. Tech., 7, 2471–2485, https://doi.org/10.5194/amt-7-2471-2014,https://doi.org/10.5194/amt-7-2471-2014, 2014

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Instruments and Platforms
The Far-INfrarEd Spectrometer for Surface Emissivity (FINESSE) – Part 1: Instrument description and level 1 radiances
Jonathan E. Murray, Laura Warwick, Helen Brindley, Alan Last, Patrick Quigley, Andy Rochester, Alexander Dewar, and Daniel Cummins
Atmos. Meas. Tech., 17, 4757–4775, https://doi.org/10.5194/amt-17-4757-2024,https://doi.org/10.5194/amt-17-4757-2024, 2024
Short summary
Evaluation of the effects of different lightning protection rods on the data quality of C-band weather radars
Cornelius Hald, Maximilian Schaper, Annette Böhm, Michael Frech, Jan Petersen, Bertram Lange, and Benjamin Rohrdantz
Atmos. Meas. Tech., 17, 4695–4707, https://doi.org/10.5194/amt-17-4695-2024,https://doi.org/10.5194/amt-17-4695-2024, 2024
Short summary
Wind comparisons between meteor radar and Doppler shifts in airglow emissions using field-widened Michelson interferometers
Samuel K. Kristoffersen, William E. Ward, and Chris E. Meek
Atmos. Meas. Tech., 17, 3995–4014, https://doi.org/10.5194/amt-17-3995-2024,https://doi.org/10.5194/amt-17-3995-2024, 2024
Short summary
A new dual-frequency stratospheric–tropospheric and meteor radar: system description and first results
Qingchen Xu, Iain Murray Reid, Bing Cai, Christian Adami, Zengmao Zhang, Mingliang Zhao, and Wen Li
Atmos. Meas. Tech., 17, 2957–2975, https://doi.org/10.5194/amt-17-2957-2024,https://doi.org/10.5194/amt-17-2957-2024, 2024
Short summary
The Doppler wind, temperature, and aerosol RMR lidar system at Kühlungsborn, Germany – Part 1: Technical specifications and capabilities
Michael Gerding, Robin Wing, Eframir Franco-Diaz, Gerd Baumgarten, Jens Fiedler, Torsten Köpnick, and Reik Ostermann
Atmos. Meas. Tech., 17, 2789–2809, https://doi.org/10.5194/amt-17-2789-2024,https://doi.org/10.5194/amt-17-2789-2024, 2024
Short summary

Cited articles

Ahn, M.-H., Han, D., Won, H. Y., and Morris, V.: A cloud detection algorithm using the downwelling infrared radiance measured by an infrared pyrometer of the ground-based microwave radiometer, Atmos. Meas. Tech., 8, 553–566, https://doi.org/10.5194/amt-8-553-2015, 2015a.
Ahn, M.-H., Lee, S. J., and Kim, D.: Estimation of uncertainties in the spectral response function of the water vapor channel of a meteorological imager, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), Proc. SPIE 9535, https://doi.org/10.1117/12.2192518, 2015b.
Candlish, L. M., Raddatz, R. L., Asplin, M. G., and Barber, D. G.: Atmospheric temperature and absolute humidity profiles over the Beaufort Sea and Amundsen Gulf from a microwave radiometer, J. Atmos. Ocean. Tech., 29, 1182–1201, 2012.
Cadeddu, M. P. and Turner, D. D.: Evaluation of water permittivity models from ground-based observations of cold clouds at frequencies between 23 and 170 GHz, IEEE T. Geosci. Remote, 49, 2999–3008, 2011.
Cadeddu, M. P., Peckham, G. E., and Gaffard, C.: The vertical resolution of ground-based microwave radiometers analyzed through a multiresolution wavelet technique, IEEE Trans. Geo. Remote Sens., 40, 531–540, 2002.
Download
Short summary
A process to characterize a ground-based microwave radiometer by comparing measured radiance with a reference data, prepared by the radiative transfer simulation with the input of temperature and humidity profiles from NWP model is introduced. When the data affected by clouds and erroneous absolute calibration is compared, the data show a better than 0.97 and 0.5 K of regression coefficient and bias, respectively. However, there is unresolved discrepancy of about 2 K at the lower frequencies.