Articles | Volume 11, issue 6
https://doi.org/10.5194/gmd-11-2353-2018
https://doi.org/10.5194/gmd-11-2353-2018
Model description paper
 | 
19 Jun 2018
Model description paper |  | 19 Jun 2018

TAMSAT-ALERT v1: a new framework for agricultural decision support

Dagmawi Asfaw, Emily Black, Matthew Brown, Kathryn Jane Nicklin, Frederick Otu-Larbi, Ewan Pinnington, Andrew Challinor, Ross Maidment, and Tristan Quaife

Viewed

Total article views: 4,819 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,375 2,361 83 4,819 604 92 79
  • HTML: 2,375
  • PDF: 2,361
  • XML: 83
  • Total: 4,819
  • Supplement: 604
  • BibTeX: 92
  • EndNote: 79
Views and downloads (calculated since 06 Feb 2018)
Cumulative views and downloads (calculated since 06 Feb 2018)

Viewed (geographical distribution)

Total article views: 4,819 (including HTML, PDF, and XML) Thereof 4,204 with geography defined and 615 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 Apr 2024
Download
Short summary
TAMSAT-ALERT is a framework for combining observational and forecast information into continually updated assessments of the likelihood of user-defined adverse events like low cumulative rainfall or lower than average crop yield. It is easy to use and flexible to accommodate any impact model that uses meteorological data. The results show that it can be used to monitor the meteorological impact on yield within a growing season and to test the value of routinely issued seasonal forecasts.