Retrieving Liquid Wat0er Path and Precipitable Water Vapor From the Atmospheric Radiation Measurement (ARM) Microwave Radiometers

By David D. Turner, S. A. Clough, James C. Liljegren, Eugene E. Clothiaux, Karen E. Cady-Pereira, K. Gaustad. IEEE Transactions on Geoscience and Remote Sensing, 2007

372 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/75901171d2170b02f05b5abf64949e3b4ee4a6e2

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Hugh Morrison
2. Matthew Shupe
3. Ulrike Lohmann
4. M. Krämer
5. S. Abel
6. A. Solomon
7. P. Persson
8. Brent N. Holben

In Global and Planetary Change

1. Hugh Morrison
2. Matthew Shupe
3. Ulrike Lohmann
4. M. Krämer
5. S. Abel
6. A. Solomon
7. P. Persson
8. Paul R. Field

Citations in the corpus

• Evaluation of AERONET precipitable water vapor versus microwave radiometry, GPS, and radiosondes at ARM sites (2014, methodology): “On the other hand, MWRs use the monochromatic radiative transfer model MonoRTM [Turner et al., 2007] that uses the same physics as the line-by-line radiative transfer model.”
• Accuracy assessment and correction of Vaisala RS92 radiosonde water vapor measurements (2009, methodology): “The RAW data also contains the measurements from both RH sensors, including values below 1% RH or above 100% RH (unlike the processed EDT and FLEDT files).”
• Moisture and dynamical interactions maintaining decoupled Arctic mixed-phase stratocumulus in the presence of a humidity inversion (2011, methodology): “Cloud liquid water path (LWP) was derived from dual-channel microwave radiometer measurements with an uncertainty of 20–30 g m−2 (Turner et al., 2007), while the cloud water (Fig.”
• Mixed-Phase Clouds: Progress and Challenges (2017, background): “Because of the MS effect, lidar depolarization measurements from optically thick liquid clouds could be as high as those from ice clouds, especially for space-based lidar (Hu et al. 2007; Wang et al. 2009).”
• A ground‐based multisensor cloud phase classifier (2007, methodology): “This shortcoming can be improved upon by employing the latest absorption models [e.g., Turner et al., 2007], by combining infrared and microwave measurements [Turner, 2007], and/ or by adding higher-frequency channels to the retrieval [Crewell and Lohnert, 2003].”
• The Atmospheric radiation measurement (ARM) program network of microwave radiometers: instrumentation, data, and retrievals (2013, background): “The offset is most easily observed in clear sky scenes (when the LWP should be zero) and could lead to a LWP bias as large as 30 g m−2 (Turner et al., 2007b; Marchand et al., 2003).”