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

Caldas-Álvarez, Alberto; Khodayar, Samiro; Bock, Olivier

doi:https://doi.org/10.5194/asr-14-157-2017

Articles | Volume 14

https://doi.org/10.5194/asr-14-157-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/asr-14-157-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 14

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

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

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.