A coupled human–natural system to assess the operational value of weather and climate services for agriculture

Li, Yu; Giuliani, Matteo; Castelletti, Andrea

doi:https://doi.org/10.5194/hess-21-4693-2017

Articles | Volume 21, issue 9

https://doi.org/10.5194/hess-21-4693-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Sub-seasonal to seasonal hydrological forecasting

https://doi.org/10.5194/hess-21-4693-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 9

Research article

|

18 Sep 2017

Research article |

| 18 Sep 2017

A coupled human–natural system to assess the operational value of weather and climate services for agriculture

Yu Li, Matteo Giuliani, and Andrea Castelletti

Data sets

ECMWF ENSEMBLE project ENSEMBLE http://chfps.cima.fcen.uba.ar/ensemble.html

NCEP CFSv2 seasonal climate forecast http://www.cpc.ncep.noaa.gov/products/CFSv2/CFSv2_body.html

CanSIPS Weather GC CA https://weather.gc.ca/grib/grib2 cansips e.html

Short summary

The paper contributes a comparative analysis of the operational value of different forecast products for the agricultural sector. The underlying idea is that forecast accuracy per se might not be the most effective indicator of the goodness of a forecast but the behaviour of the farmers using the forecast should somehow also be taken into consideration and, correspondingly, the benefit generated by the forecast. This paper explores and validates this idea with a model-based analysis.