CROPWAVES
Project Details
Leader
Wim THIERYStart & end date
1/2024 - 1/2028
People
Partners
Researchers
Institutions
Funding
CROPWAVES
Humanity faces significant challenges regarding
global food insecurity, and climate extremes aggravates this risk through their
impact on crop failure. Understanding the climatic drivers of crop failure,
monitoring crop growth, and implementing early warning systems is therefore of
crucial importance. The recent surge in satellite-based crop products now
creates a unique opportunity to improve global-scale crop and climate models at
different spatial resolutions.
CropWaves is a collaborative research project
funded by Belgian Science Policy Office (BELSPO) aimed to improve large-scale
modelling of crop yield, implementing high-resolution early warning systems and
assess climatic drivers of crop failures. This will be achieved by using a
combination of satellite-based products for surface soil moisture and
vegetation and two different models; a regional version of the AquaCrop model
and the Community Earth System Model (CESM).
Within CropWaves we aim to contribute to food security for future generations, by providing useful tools and insights to assess agricultural systems under the pressure of a changing climate and growing population.
Link to project webpages:
CTSM (development)
https://github.com/ShannonRoos/CTSM_HS
https://github.com/ShannonRoos/ctsm_processing_python
AquaCrop
https://ees.kuleuven.be/en/aquacrop, https://github.com/KUL-RSDA/AquaCrop
i. Busschaert, L., Deketelaere, V., Thiery, W., Raes, D., De Lannoy, G.J.M. (2025). Future projections of European maize yields using AquaCrop with an adaptive growing season. European Journal of Agronomy, in review.
ii. De Lannoy, G., Busschaert, L., Bechtold, M., Lanfranco, N., de Roos, S., Heyvaert, Z., Mortelmans, J., Scherrer, S., Van den Bossche, M., Kumar, S., Mocko, D., Kemp, E., Heng, L., Steduto, P., Raes, D. (2025). Advancing Crop Modeling and Data Assimilation Using AquaCrop v7.2 in NASA’s Land Information System Framework v7.5. Geoscientific Model Development, https://egusphere.copernicus.org/preprints/2025/egusphere-2025-4417/
iii. de Roos, S., Bechtold, M., Busschaert, L., Lievens, H., & De Lannoy, G. J. (2024). Assimilation of Sentinel‐1 backscatter to update AquaCrop estimates of soil moisture and crop biomass. Journal of Geophysical Research: Biogeosciences, 129(10), e2024JG008231. https://doi.org/10.1029/2024JG008231

