Rahel Laudien

Laudien

Rahel Laudien In her research, she uses statistical crop models and machine learning approaches for seasonal crop yield forecasting to support early warning systems on food insecurity Before joining PIK, she worked for a consultancy in the field of climate adaptation services in the Netherlands.

Contact

Potsdam Institute for Climate Impact Research (PIK)
T +49 (0)331 288 20771
laudien[at]pik-potsdam.de
P.O. Box 60 12 03
14412 Potsdam

Peer reviewed:

  • Laudien, Schauberger, Waid, Gornott, 2022: A forecast of staple crop production in Burkina Faso to enable early warnings of shortages in domestic food availability, Nature Scientific Reports, Volume 12.
  • Laudien, Schauberger, Makowski, Gornott, 2020: Robustly forecasting maize yields in Tanzania based on climatic predictors, Nature Scientific Reports, Volume 10.
  • Laudien, Schauberger, Gleixner, Gornott, 2020: Assessment of weather-yield relations of starchy maize at different scales in Peru to support the NDC implementation, Agricultural and Forest Meteorology, Volume 295.
  • Laudien, Boon, Goosen, van Nieuwaal, 2019: The Dutch adaptation web portal: seven lessons learnt from a co-production point of view, Climatic Change, Volume 153.

Other: