Improving retrievals by the Stepped Frequency Microwave Radiometer in mid-latitude winter storms

Jezabel Vilardell Sanchez a Microwave Remote Sensing Laboratory, University of Massachusetts, Amherst, MA 01003, USA

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Joseph W. Sapp b Global Science and Technology Inc., Greenbelt, MD 20770, USA
c NOAA/NESDIS Center for Satellite Applications Research (STAR), College Park, MD 20740, USA

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Zorana Jelenak c NOAA/NESDIS Center for Satellite Applications Research (STAR), College Park, MD 20740, USA
d University Corporation for Atmospheric Research, Boulder, CO 80307, USA

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Paul S. Chang c NOAA/NESDIS Center for Satellite Applications Research (STAR), College Park, MD 20740, USA

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Stephen J. Frasier a Microwave Remote Sensing Laboratory, University of Massachusetts, Amherst, MA 01003, USA

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Abstract

We consider the radiative transfer model (RTM) employed by the Stepped Frequency Microwave Radiometer (SFMR) and its application in airborne wintertime observations of mid-latitude storms and extra tropical cyclones. We find that the current RTM, developed and tuned for use in tropical cyclones (TCs), does not adequately model the observed brightness temperatures typically encountered in these cold conditions. While the brightness temperatures observed at several frequencies across C-band are lower, they are more spread apart from each other than the TC RTM predicts. We consider two hypotheses to explain the differences between the measurements and model. One hypothesis assumes the presence of a melting layer between the aircraft and the surface which imparts enhanced attenuation and emission, which would result in an enhanced spreading of brightness temperatures. The properties of the melting layer scale with rain rate. The other hypothesis is a wind-dependent excess emissivity possibly due to a surface-based layer of mixed-phase droplets lofted from the surface. The latter hypothesis is most consistent with observations when the freezing level, as deduced from the flight-level temperature and an assumed lapse rate, is at or below the surface. We find that the latter hypothesis better represents the observations compared to the first, in large part because there is often little to no rain present in the observations. An excess emissivity model for winter conditions is provided.

© 2025 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Stephen J. Frasier, frasier@umass.edu

Abstract

We consider the radiative transfer model (RTM) employed by the Stepped Frequency Microwave Radiometer (SFMR) and its application in airborne wintertime observations of mid-latitude storms and extra tropical cyclones. We find that the current RTM, developed and tuned for use in tropical cyclones (TCs), does not adequately model the observed brightness temperatures typically encountered in these cold conditions. While the brightness temperatures observed at several frequencies across C-band are lower, they are more spread apart from each other than the TC RTM predicts. We consider two hypotheses to explain the differences between the measurements and model. One hypothesis assumes the presence of a melting layer between the aircraft and the surface which imparts enhanced attenuation and emission, which would result in an enhanced spreading of brightness temperatures. The properties of the melting layer scale with rain rate. The other hypothesis is a wind-dependent excess emissivity possibly due to a surface-based layer of mixed-phase droplets lofted from the surface. The latter hypothesis is most consistent with observations when the freezing level, as deduced from the flight-level temperature and an assumed lapse rate, is at or below the surface. We find that the latter hypothesis better represents the observations compared to the first, in large part because there is often little to no rain present in the observations. An excess emissivity model for winter conditions is provided.

© 2025 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Stephen J. Frasier, frasier@umass.edu
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