Articles | Volume 22, issue 6
https://doi.org/10.5194/acp-22-3811-2022
https://doi.org/10.5194/acp-22-3811-2022
Research article
 | 
22 Mar 2022
Research article |  | 22 Mar 2022

Novel assessment of numerical forecasting model relative humidity with satellite probabilistic estimates

Chloé Radice, Hélène Brogniez, Pierre-Emmanuel Kirstetter, and Philippe Chambon

Viewed

Total article views: 2,331 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,776 508 47 2,331 73 26 31
  • HTML: 1,776
  • PDF: 508
  • XML: 47
  • Total: 2,331
  • Supplement: 73
  • BibTeX: 26
  • EndNote: 31
Views and downloads (calculated since 04 Oct 2021)
Cumulative views and downloads (calculated since 04 Oct 2021)

Viewed (geographical distribution)

Total article views: 2,331 (including HTML, PDF, and XML) Thereof 2,377 with geography defined and -46 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
Short summary
A novel probabilistic approach is proposed to evaluate relative humidity (RH) profiles simulated by an atmospheric model with respect to satellite-based RH defined from probability distributions. It improves upon deterministic comparisons by enhancing the information content to enable a finer assessment of each model–observation discrepancy, highlighting significant departures within a deterministic confidence range. Geographical and vertical distributions of the model biases are discussed.
Altmetrics
Final-revised paper
Preprint