Articles | Volume 21, issue 1
https://doi.org/10.5194/nhess-21-463-2021
https://doi.org/10.5194/nhess-21-463-2021
Research article
 | 
01 Feb 2021
Research article |  | 01 Feb 2021

Data assimilation impact studies with the AROME-WMED reanalysis of the first special observation period of the Hydrological cycle in the Mediterranean Experiment

Nadia Fourrié, Mathieu Nuret, Pierre Brousseau, and Olivier Caumont

Viewed

Total article views: 1,859 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,281 502 76 1,859 114 63 62
  • HTML: 1,281
  • PDF: 502
  • XML: 76
  • Total: 1,859
  • Supplement: 114
  • BibTeX: 63
  • EndNote: 62
Views and downloads (calculated since 25 May 2020)
Cumulative views and downloads (calculated since 25 May 2020)

Viewed (geographical distribution)

Total article views: 1,859 (including HTML, PDF, and XML) Thereof 1,700 with geography defined and 159 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
The assimilation impact of four observation data sets on forecasts is studied in a mesoscale weather model. The ground-based Global Navigation Satellite System (GNSS) zenithal total delay data set with information on humidity has the largest impact on analyses and forecasts, representing an evenly spread and frequent data set for each analysis time over the model domain. Moreover, the reprocessing of these data also improves the forecast quality, but this impact is not statistically significant.
Altmetrics
Final-revised paper
Preprint