Articles | Volume 20, issue 10
https://doi.org/10.5194/nhess-20-2753-2020
https://doi.org/10.5194/nhess-20-2753-2020
Research article
 | 
21 Oct 2020
Research article |  | 21 Oct 2020

Assessing atmospheric moisture effects on heavy precipitation during HyMeX IOP16 using GPS nudging and dynamical downscaling

Alberto Caldas-Alvarez and Samiro Khodayar

Viewed

Total article views: 2,977 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,966 942 69 2,977 56 73 62
  • HTML: 1,966
  • PDF: 942
  • XML: 69
  • Total: 2,977
  • Supplement: 56
  • BibTeX: 73
  • EndNote: 62
Views and downloads (calculated since 19 Nov 2019)
Cumulative views and downloads (calculated since 19 Nov 2019)

Viewed (geographical distribution)

Total article views: 2,977 (including HTML, PDF, and XML) Thereof 2,705 with geography defined and 272 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Jul 2024
Download
Short summary
Heavy precipitation causes serious losses and several casualties in the western Mediterranean every year. To predict this phenomenon better, we aim at understanding how the models represent the interaction between atmospheric moisture and precipitation by nudging a 10 min, state-of-the-art GPS data set. We found, for the selected case in autumn 2012, that the improvement in the modelling of precipitation stems from relevant variations of atmospheric instability and humidity above 1.5 km.
Altmetrics
Final-revised paper
Preprint