SARRA: The History of a Crop Simulation Model for Intertropical Zones[SARRA, histoire d'un modèle de simulation des cultures pour les zones intertropicales]

The SARRA (Regional Analysis System for Agroclimatic Risks) model family has been under development by the French Agricultural Research Centre for International Development (CIRAD) since the 1970s. Used in intertropical regions, the early versions of the model were designed to assess the impact of water stress—that is, the lack of accessible water for crops—on production and seedling losses. Their objectives were to improve risk estimation, optimize sowing management, and serve as a regional-scale early warning system for food security. Since the 2000s, the model has been increasingly used to analyze the impacts of climate change on agroclimatic risks. Several developments have enabled the integration of, on the one hand, the genetic characteristics of crops, and on the other hand, a better consideration of spatio-temporal dynamics, particularly through the use of remote sensing. Additionally, SARRA has gradually evolved from a descriptive model into a scenario-based anticipation tool, requiring structural transformations and the adoption of modern programming and versioning techniques to ensure traceability and reproducibility of simulations. Recognized for their simplicity, parsimony, and robustness, these models have proven effective for monitoring agricultural seasons, managing food security, and supporting decision-making in the face of climate risks. This article provides a retrospective analysis of their development, highlighting major innovations and their potential to guide resilient agricultural practices in response to current climate challenges.