Climate variability through the lens of applied weather index insurance in Senegal-a novel perspective on the implications of decadal variation

Introduction Weather-based index insurance is a financial instrument which allows smallholder farmers to protect themselves against climate shocks such as droughts and floods. In many cases, insurance indices are based on one or more earth observation datasets (e.g., rainfall, soil moisture, vegetative health) which are partly covering periods of more than 40 years. While remote sensing products and their associated data have improved over this time, understanding the historical climate variability and trends remains an essential piece in ensuring the development of indexes that best represent farmers’ risks. From a practical perspective, shortening time series to limit the risk of understudied climate variability, such as the Atlantic Multidecadal Variability, sometimes seems to be a quick solution. However, shorter time series jeopardize the overall robustness of the index. Therefore, understanding the links between climate variability, index design, and implications for farmers is key. Weather-based index insurance products in Sahelian West Africa usually face a challenge in robustly quantify underlying climatic decadal variation in seasonal rainfall. Methods This study analyzes the influence of decadal shifts in rainfall patterns in Sahelian West Africa, in particular Senegal, on index insurance calibration and design, concluding with practical recommendations for the next generation of drought risk finance instruments in the region. Results Our findings indicate that decadal variability has not led to a clear decrease in payouts in recent years compared to earlier years, despite an overall increase in seasonal rainfall. Rather, we find that interannual variability has increased which may be a more critical factor for assessing farmers’ agricultural risk than the increase in total rainfall. Discussion Focusing on key moments of the cropping calendar in the design of an index shows that an increase in the total average rainfall per season does not result in fewer payouts.

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Publication Details

Journal
Frontiers in Climate
Published
2024-09-23
DOI
https://doi.org/10.3389/fclim.2024.1281623
Citations
6
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
1.70
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article

Climate variability through the lens of applied weather index insurance in Senegal-a novel perspective on the implications of decadal variation

Markus Enenkel, Thierry Lebel, Daniel E. Osgood, Souha Ouni et al.
6 citations
Frontiers in Climate
Hydrology and Drought Analysis
1.70
article

Climate variability through the lens of applied weather index insurance in Senegal-a novel perspective on the implications of decadal variation

Markus Enenkel, Thierry Lebel, Daniel E. Osgood, Souha Ouni, S. Lucille Blakeley, Alessandra Giannini, Mélody Braun
article en
6 citations

Abstract

Introduction Weather-based index insurance is a financial instrument which allows smallholder farmers to protect themselves against climate shocks such as droughts and floods. In many cases, insurance indices are based on one or more earth observation datasets (e.g., rainfall, soil moisture, vegetative health) which are partly covering periods of more than 40 years. While remote sensing products and their associated data have improved over this time, understanding the historical climate variability and trends remains an essential piece in ensuring the development of indexes that best represent farmers’ risks. From a practical perspective, shortening time series to limit the risk of understudied climate variability, such as the Atlantic Multidecadal Variability, sometimes seems to be a quick solution. However, shorter time series jeopardize the overall robustness of the index. Therefore, understanding the links between climate variability, index design, and implications for farmers is key. Weather-based index insurance products in Sahelian West Africa usually face a challenge in robustly quantify underlying climatic decadal variation in seasonal rainfall. Methods This study analyzes the influence of decadal shifts in rainfall patterns in Sahelian West Africa, in particular Senegal, on index insurance calibration and design, concluding with practical recommendations for the next generation of drought risk finance instruments in the region. Results Our findings indicate that decadal variability has not led to a clear decrease in payouts in recent years compared to earlier years, despite an overall increase in seasonal rainfall. Rather, we find that interannual variability has increased which may be a more critical factor for assessing farmers’ agricultural risk than the increase in total rainfall. Discussion Focusing on key moments of the cropping calendar in the design of an index shows that an increase in the total average rainfall per season does not result in fewer payouts.

Frontiers in ClimateVol. 6
Centre National de la Recherche Scientifique (FR), World Bank (US), Sorbonne Université (FR), Laboratoire de Météorologie Dynamique (FR), Institut des Géosciences de l'Environnement (FR), Climate Foundation (US), Université Grenoble Alpes (FR)
Openalex Percentile: Top 16%
Hydrology and Drought Analysis
1.70
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