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Advances in Science and Research Contributions in Applied Meteorology and Climatology
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Volume 14
Adv. Sci. Res., 14, 157–162, 2017
https://doi.org/10.5194/asr-14-157-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Adv. Sci. Res., 14, 157–162, 2017
https://doi.org/10.5194/asr-14-157-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

  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 et al.
Data sets

SOP reprocessed GPS delays and IWV O. Bock and P. Bosser https://doi.org/10.6096/MISTRALS-HyMeX.1280

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 CMORPH https://doi.org/10.5065/D60R9MF6

Publications Copernicus
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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.
The representation of the atmospheric moisture distribution in weather and climate prediction...
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