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GMD | Articles | Volume 11, issue 6
Geosci. Model Dev., 11, 2353–2371, 2018
https://doi.org/10.5194/gmd-11-2353-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 2353–2371, 2018
https://doi.org/10.5194/gmd-11-2353-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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.
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Asfaw, D., Black, E., Brown, M., Nicklin, K. J., Otu-Larbi, F., Pinnington, E., Challinor, A., Maidment, R., and Quaife, T.: TAMSAT-ALERT v1: A new framework for agricultural decision support, https://doi.org/10.5281/zenodo.1164603, 2018. 
Bannayan, M., Crout, N. M., and Hoogenboom, G.: Application of the CERES-Wheat model for within-season prediction of winter wheat yield in the United Kingdom, Agron. J., 95, 114–125, https://doi.org/10.2134/agronj2003.0114, 2003. 
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Black, E., Greatrex, H., Young, M., and Maidment, R.: Incorporating satellite data into weather index insurance, B. Am. Meteorol. Soc., 97, ES203–ES206, https://doi.org/10.1175/BAMS-D-16-0148.1, 2016. 
Boyd, E., Cornforth, R. J., Lamb, P. J., Tarhule, A., Lélé, M. I., and Brouder, A.: Building resilience to face recurring environmental crisis in African Sahel, Nat. Clim. Change, 3, 631–638, https://doi.org/10.1038/NCLIMATE1856, 2013. 
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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.
TAMSAT-ALERT is a framework for combining observational and forecast information into...
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