Articles | Volume 9, issue 8
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,, 2015.
Boukabara S. A., Clough, S. A., Moncet, J.-L., Krupnov, A. F., Tretyakov, M. Yu., and Parshin, V. V.: Uncertainties in the Temperature Dependence of the Line-Coupling Parameters of the Microwave Oxygen Band: Impact Study, IEEE T. Geosci. Remote Sens., 43, 1109–1114,, 2005.
Brousseau, P., Berre, L., Bouttier, F., and Desroziers, G.: Background error covariances for a convective scale data assimilation system: AROME 3D-Var, Q. J. Roy. Meteor. Soc., 137, 409–422, 2011.
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,, 2005.
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.