Interpreting millimeter‐wave radiances over tropical convective clouds. Issue 3 (2nd February 2017)

• Record Type: Journal Article
• Authors: Haddad, Z. S.; Sawaya, R. C.; Kacimi, S.; Sy, O. O.; Turk, F. J.; Steward, J.
• Is Part Of: Journal of geophysical research. Volume 122:Issue 3(2017)
• Page Start: 1650
• Page End: 1664
• Publication Date: 2017-02-02
• Subjects: convection -- microwave -- millimeter‐wavelength; Atmospheric physics -- Periodicals; Geophysics -- Periodicals; 551.5
• DOI: 10.1002/2016JD025923
• Languages: English
• ISSNs: 2169-897X

Abstract

Abstract: Attempts to interpret the measurements of millimeter‐wave radiometers over tropical storms must overcome the difficulty of modeling the scattering signatures of hydrometeors at these frequencies. Most approaches to date try to retrieve surface precipitation, to which the observations are not directly sensitive. In fact, millimeter wavelengths are most sensitive to the scattering from solid hydrometeors within the upper levels of the cloud. Millimeter‐wavelength radiometers have a definite advantage over the lower frequency radiometers in that they have finer spatial resolution to resolve deep convection. Preliminary analyses summarized here indicate that the measurements are indeed sensitive to the depth and intensity of convection. The challenge is to derive a robust approach to make quantitative estimates of the characteristics of the convection directly from the observations, and conversely to derive a robust forward representation of the dependence of the radiances on the underlying moisture fields, to enable effective data assimilation. This is accomplished using a two‐step semiempirical approach: first, nearly simultaneous coincident observations by millimeter‐wave radiometers and orbiting atmospheric profiling radars are used to enforce unbiased consistency between modeled brightness temperatures and radar and radiometer observations; second, the departure from the first‐step mean empirical relations are explained in terms of the moisture variables, using cloud‐resolving simulations with different microphysical schemes, including an original microphysical representation that proves to be more consistent with remote sensing observations than existing schemes. The results are a retrieval approach and a forward representation that are unbiased by construction, with uncertainties quantified by the corresponding conditional variances. Key Points: Millimeter‐wavelength radiometer measurements over clouds can be used to quantify convection depth and intensity The converse, a forward operator representing millimeter‐wave radiances as a function of atmospheric variables, can be derived consistent with OBS Our microphysical representation compares better with OBS than existing ones and reveals the sensitivity of radiances to cloud water vapor