Articles | Volume 14, issue 5
Research article
 | Highlight paper
12 May 2021
Research article | Highlight paper |  | 12 May 2021

Introducing hydrometeor orientation into all-sky microwave and submillimeter assimilation

Vasileios Barlakas, Alan J. Geer, and Patrick Eriksson

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This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Cited articles

Aires, F., Prigent, C., Bernardo, F., Jiménez, C., Saunders, R., and Brunel, P.: A Tool to Estimate Land-Surface Emissivities at Microwave frequencies (TELSEM) for use in numerical weather prediction, Q. J. Roy. Meteorol. Soc., 137, 690–699,, 2011. a
Auligné, T., McNally, A. P., and Dee, D. P.: Adaptive bias correction for satellite data in a numerical weather prediction system, Q. J. Roy. Meteorol. Soc., 133, 631–642,, 2007. a
Baordo, F. and Geer, A. J.: Assimilation of SSMIS humidity-sounding channels in all-sky conditions over land using a dynamic emissivity retrieval, Q. J. Roy. Meteorol. Soc., 142, 2854–2866,, 2016. a
Barlakas, V.: A new three-dimensional vector radiative transfer model and applications to Saharan dust fields, PhD thesis, University of Leipzig, Leipzig, Germany, available at: (last access: 4 November 2020), 2016. a, b, c
Barlakas, V. and Eriksson, P.: Three dimensional radiative effects in passive millimeter/sub-millimeter all-sky observations, Remote Sens., 12, 531,, 2020. a
Short summary
Oriented nonspherical ice particles induce polarization that is ignored when cloud-sensitive satellite observations are used in numerical weather prediction systems. We present a simple approach for approximating particle orientation, requiring minor adaption of software and no additional calculation burden. With this approach, the system realistically simulates the observed polarization patterns, increasing the physical consistency between instruments with different polarizations.