Articles | Volume 10, issue 10
Atmos. Meas. Tech., 10, 3947–3961, 2017
Atmos. Meas. Tech., 10, 3947–3961, 2017
Research article
25 Oct 2017
Research article | 25 Oct 2017

Long-term observations minus background monitoring of ground-based brightness temperatures from a microwave radiometer network

Francesco De Angelis et al.

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Cited articles

Baldauf, M., Seifert, A., Forstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational convective-scale numerical weather prediction with the COSMO model: Description and sensitivities, Mon. Weather Rev., 139, 3887–3905,, 2011.
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. Meteor. Climatol., 54, 2305–2319,, 2015.
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.
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Bubnová, R., Hello, G., Bénard, P., and Geleyn, J.-F.: Integration of the fully elastic equations cast in the hydrostatic pressure terrain-following in the framework of the ARPEGE/ALADIN NWP system, Mon. Weather Rev., 123, 515–535,<0515:IOTFEE>2.0.CO;2, 1995.
Short summary
Modern data assimilation systems require knowledge of the typical differences between observations and model background (O–B). This work illustrates a 1-year O–B analysis for ground-based microwave radiometer (MWR) observations in clear-sky conditions for a prototype network of six MWRs in Europe. Observations are MWR brightness temperatures (TB). Background profiles extracted from the output of a convective-scale model are used to simulate TB through the radiative transfer model RTTOV-gb.