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Christoph Gornott

Researcher: Assessment of regional crop yields using and comparing different approaches. Insurance solutions to help farmers coping with climate perils.

Christoph Gornott

Research Domain II
Climate Impacts & Vulnerabilities

Contact:
Potsdam Institute for Climate Impact Research (PIK)

Telegrafenberg A62/ 2.01
14412 Potsdam

Tel.: +49-(0)331-288-2655
Email:

Research projects
– lead Christoph Gornott: * PIK lead, ** shared project lead, *** entire project lead –  
AgRATI*** (funded by Climate-KIC)
CIMSU*** (funded by Climate-KIC)
H2020_Insurance*** [also leaded by Fred Hattermann, Tracy Irvine] (funded by EU: H2020)
GeoCare* (BLE) [project lead CAU Kiel]
Food security, migration and conflicts** [together with ZALF] (funded by Leibniz Association)
Crop Yield Estimates** [together with GAF AG] – CYE (funded by Munich Re)
Climate Risk Management in the Agricultural Sector of Peru** [together with GAF AG] (funded by GIZ)
YLIT** (funded by Climate-KIC)

– involved without leading position –  
Trans-SEC (funded by BMBF, BMZ: GolobE)

Publications
Albers, Gornott, Hüttel, 2017: How do inputs and weather drive wheat yield volatility? The example of Germany, Food Policy (70) 50-61.

Lana, Vasconcelos, Gornott, Schaffert, Bonatti, Volk, Graef, Kersebaum, Sieber: Is dry soil planting an adaptation strategy for maize cultivation in a semi-arid region? Food Security.

Schauberger, Gornott, Wechsung, 2017: Global evaluation of a semiempirical model for yield anomalies and application to within-season yield forecasting, Global Change Biology, 1-15.

Conradt, Gornott, Wechsung, 2016: Extending and improving regionalized winter wheat and silage maize yield regression models for Germany: Enhancing the predictive skill by panel definition through cluster analysis, Agric. For. Meteorol. (216) 68–81

Gornott & Wechsung, 2016: Statistical regression models for assessing climate impacts on crop yields: A validation study for winter wheat and silage maize in Germany, Agric. For. Meteorol (217) 89–100.  

Gornott & Wechsung, 2015: Level normalized modeling approach of yield volatility for winter wheat and silage maize on different scales within Germany, Jornal für Kulturpflanzen (67) 6, 205–223.

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