Articles | Volume 9, issue 8
https://doi.org/10.5194/gmd-9-2721-2016
https://doi.org/10.5194/gmd-9-2721-2016
Development and technical paper
 | 
19 Aug 2016
Development and technical paper |  | 19 Aug 2016

RTTOV-gb – adapting the fast radiative transfer model RTTOV for the assimilation of ground-based microwave radiometer observations

Francesco De Angelis, Domenico Cimini, James Hocking, Pauline Martinet, and Stefan Kneifel

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Cited articles

Blumberg, W. G., Turner, D. D., Löhnert, U., and Castleberry, S.: Ground-Based Temperature and Humidity Profiling Using Spectral Infrared and Microwave Observations. Part II: Actual Retrieval Performance in Clear-Sky and Cloudy Conditions, J. Appl. Meteorol. Clim., 54, 2305–2319, https://doi.org/10.1175/JAMC-D-15-0005.1, 2015.
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Brunel, P. and Hocking, J.: RTTOV v11 Test Suite, Met Office Doc ID: NWPSAF-MO-TV-031, 2014.
Buehler, S. A., Eriksson, P., Kuhn, T., von Engeln, A., and Verdes, C.: ARTS, the Atmospheric Radiative Transfer Simulator, J. Quant. Spectrosc. Ra., 91, 65–93, https://doi.org/10.1016/j.jqsrt.2004.05.051, 2005.
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Short summary
Ground-based microwave radiometers (MWRs) offer to bridge the observational gap in the atmospheric boundary layer. Currently MWRs are operational at many sites worldwide. However, their potential is largely under-exploited, partly due to the lack of a fast radiative transfer model (RTM) suited for data assimilation into numerical weather prediction models. Here we propose and test an RTM, building on satellite heritage and adapting for ground-based MWRs, which addresses this shortage.