Report summarising predictability of impact parameters for forestry sector

Number:

D23.6

WP:

WP23: Impact models for impact predictions

Leader:

ULUND

Month:

Access:

Public

Tweets

RT @matteodefelice: Can we downscale #seasonal forecasts in eastern Africa? A(nother) wonderful @Euporias paper... https://t.co/YSpWlW66Sv — 6 years 4 months ago
RT @marta_b_soares: Great to see our research in the @NFUBFGmag! @PeteFalloon @euporias @CCAdaptGroup @SEELeeds https://t.co/P1nMYEIbny — 6 years 5 months ago
RT @BellHouse2017: @FlissLiggins @Euporias #Bellhouse is so busy! No time to add all the things it is playing and the people it is interact… — 6 years 6 months ago
RT @CORDIS_EU: Download @CORDIS_EU free #ResultsPack brochure on #climate services through innovative EU research here https://t.co/XpMhZ7B… — 6 years 10 months ago
RT @NickKlenske: #EU @Euporias project develop prototype #climate services meeting specific needs of those using #climatechange info: https… — 6 years 11 months ago

This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under Grant Agreement 308291 - running from November 2012 to January 2017

Unless otherwise stated, the content of this page is licensed under Creative Commons Attribution-ShareAlike 3.0 License

You are here

Report summarising predictability of impact parameters for forestry sector