Articles | Volume 15
https://doi.org/10.5194/asr-15-183-2018
https://doi.org/10.5194/asr-15-183-2018
03 Aug 2018
 | 03 Aug 2018

A new framework for probabilistic seasonal forecasts based on circulation type classifications and driven by an ensemble global model

Gianni Messeri, Riccardo Benedetti, Alfonso Crisci, Bernardo Gozzini, Matteo Rossi, Roberto Vallorani, and Giampiero Maracchi

Viewed

Total article views: 3,749 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,176 501 72 3,749 87 95
  • HTML: 3,176
  • PDF: 501
  • XML: 72
  • Total: 3,749
  • BibTeX: 87
  • EndNote: 95
Views and downloads (calculated since 03 Aug 2018)
Cumulative views and downloads (calculated since 03 Aug 2018)

Viewed (geographical distribution)

Total article views: 3,072 (including HTML, PDF, and XML) Thereof 2,936 with geography defined and 136 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
This new framework for high resoluted seasonal forecast allows an easier use of the information contained in the complex system of atmospheric circulations through their reduction to a limited number of circulation types starting from a global ensemble model. Further investigations are ongoing in order to lead predictions of the risk of heavy rainfall, drought or heat waves, all important parameters for agriculture, water management and severe weather risk assessment.