Articles | Volume 14
https://doi.org/10.5194/asr-14-157-2017
https://doi.org/10.5194/asr-14-157-2017
13 Jun 2017
 | 13 Jun 2017

GPS – Zenith Total Delay assimilation in different resolution simulations of a heavy precipitation event over southern France

Alberto Caldas-Álvarez, Samiro Khodayar, and Olivier Bock

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Cited articles

Bevis, M., Businger, M., Herring, T. A., Rocken, C., Anthes, R. A., and Ware, R. H.: GPS meteorology: Remote sensing of atmospheric water vapor using the global positioning system, J. Geophys. Res., 97, 15787–15801, https://doi.org/10.1029/92JD01517, 1992.
Bock, O. and Bosser, P.: SOP reprocessed GPS delays and IWV, LAREG, https://doi.org/10.6096/MISTRALS-HyMeX.1280, 2014.
Bock, O., Bosser, P., Pacione, R., Nuret, M., Fourrié, N., and Parracho, A.: A high-quality reprocessed ground-based GPS dataset for atmospheric process studies, radiosonde and model evaluation, and reanalysis of HyMeX Special Observing Period, Q. J. Roy. Meteor. Soc., 142, 56–71, https://doi.org/10.1002/qj.2701, 2016.
Boniface, K., Ducrocq, V., Jaubert, G., Yan, X., Brousseau, P., Masson, F., Champollion, C., Chéry, J., and Doerflinger, E.: Impact of high-resolution data assimilation of GPS zenith delay on Mediterranean heavy rainfall forecasting, Ann. Geophys., 27, 2739–2753, https://doi.org/10.5194/angeo-27-2739-2009, 2009.
CMORPH: NOAA CPC Morphing Technique, Global Precipitation Analyses Version 1.0, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory, https://doi.org/10.5065/D60R9MF6, 2017.
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Short summary
The representation of the atmospheric moisture distribution in weather and climate prediction models has been identified as a source of error in the representation of heavy precipitation events. This research work shows the relevance of overcoming deficiencies in the representation of the moisture content in the vertical direction, even after assimilating humidity data for a case study characteristic of the western Mediterranean by early autumn.