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Volume 10, issue 9
Atmos. Meas. Tech., 10, 3385-3402, 2017
https://doi.org/10.5194/amt-10-3385-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 10, 3385-3402, 2017
https://doi.org/10.5194/amt-10-3385-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 18 Sep 2017

Research article | 18 Sep 2017

Combining ground-based microwave radiometer and the AROME convective scale model through 1DVAR retrievals in complex terrain: an Alpine valley case study

Pauline Martinet et al.
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Berre, L., Pannekoucke, O., Desroziers, G., Stefanescu, S., Chapnik, B., and Raynaud, L.: A variational assimilation ensemble and the spatial filtering of its error covariances: increase of sample size by local spatial averaging, in: Proc. ECMWF Workshop on Flow-Dependent Aspects of Data Assimilation, 151–168, 2007.
Beyrich, F.: Mixing height estimation from sodar data – a critical discussion, Atmos. Environ., 31, 3941–3953, 1997.
Brousseau, P., Berre, L., Bouttier, F., and Desroziers, G.: Background-error covariances for a convective-scale data-assimilation system: AROME–France 3D-Var, Q. J. Roy. Meteor. Soc., 137, 409–422, 2011.
Brousseau, P., Seity, Y., Ricard, D., and Léger, J.: Improvement of the forecast of convective activity from the AROME-France system, Q. J. Roy. Meteor. Soc., 142, 2231–2243, https://doi.org/10.1002/qj.2822, 2016.
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Microwave radiometers have the capability of observing temperature and humidity profiles with a few minute time resolution. This study investigates the potential benefit of this instrument to improve weather forecasts thanks to a better initialization of the model. Our results show that a significant improvement can be expected in the model initialization in the first 3 km with potential impacts on weather forecasts.
Microwave radiometers have the capability of observing temperature and humidity profiles with a...
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