Articles | Volume 11, issue 6
Geosci. Model Dev., 11, 2353–2371, 2018
Geosci. Model Dev., 11, 2353–2371, 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 et al.


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (05 Jun 2018)  Author's response
ED: Publish as is (08 Jun 2018) by Carlos Sierra
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.