mwr: Microwave Radiometer

The Microwave Radiometer (MWR) provides time-series measurements of column-integrated amounts of water vapor and liquid water. The instrument itself is a sensitive microwave receiver that detects the microwave emissions of the vapor and liquid water molecules in the atmosphere at two frequencies: 23.8 and 31.4 GHz.

Integrated water vapor and liquid water path are derived from radiance measurements with a statistical retrieval algorithm that uses monthly derived and location-dependent linear regression coefficients.

Measurements

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

Related Publications

2018

Naren Athreyas K, E Gunawan, and B Tay. 2018. "Source tracing of thunderstorm generated inertia-gravity waves observed during the RADAGAST campaign in Niamey, Niger." Journal of Atmospheric and Solar-Terrestrial Physics, 172, 10.1016/j.jastp.2018.03.003.

Liu J and Z Li. 2018. "Significant Underestimation in the Optically Based Estimation of the Aerosol First Indirect Effect Induced by the Aerosol Swelling Effect." Geophysical Research Letters, 45(11), 10.1029/2018GL077679.

de Boer G. 2018. Profiling at Oliktok Point to Enhance Year of Polar Prediction Experiments (POPEYE) Science Plan. Ed. by Robert Stafford, ARM Research facility. DOE/SC-ARM-18-021.

Silber I, J Verlinde, E Eloranta, C Flynn, and D Flynn. 2018. "Polar liquid cloud base detection algorithms for high spectral resolution or micropulse lidar data." Journal of Geophysical Research: Atmospheres, , 10.1029/2017JD027840. ONLINE.

Matrosov S and D Turner. 2018. "Retrieving mean temperature of atmospheric liquid water layers using microwave radiometer measurements." Journal of Atmospheric and Oceanic Technology, 35(5), 10.1175/JTECH-D-17-0179.1.

Oue M, P Kollias, A Ryzhkov, and E Luke. 2018. "Toward Exploring the Synergy Between Cloud Radar Polarimetry and Doppler Spectral Analysis in Deep Cold Precipitating Systems in the Arctic." Journal of Geophysical Research: Atmospheres, 123(5), doi: 10.1002/2017JD027717.

Kuo Y, K Schiro, and J Neelin. 2018. "Convective transition statistics over tropical oceans for climate model diagnostics: Observational baseline." Journal of the Atmospheric Sciences, 75(5), 10.1175/JAS-D-17-0287.1.

Luo T, Z Wang, X Li, S Deng, Y Huang, and Y Wang. 2018. "Retrieving the Polar Mixed-Phase Cloud Liquid Water Path by Combining CALIOP and IIR Measurements." Journal of Geophysical Research: Atmospheres, 123(3), 10.1002/2017JD027291.

Wang Y, D Zhang, X Liu, and Z Wang. 2018. "Distinct Contributions of Ice Nucleation, Large-Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5." Journal of Geophysical Research: Atmospheres, 123(2), 10.1002/2017JD027213.

2017

Qiu Y, C Zhao, J Guo, and J Li. 2017. "8-Year ground-based observational analysis about the seasonal variation of the aerosol-cloud droplet effective radius relationship at SGP site." Atmospheric Environment, 164, 10.1016/j.atmosenv.2017.06.002.


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