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Polar‐low track prediction using machine‐learning methods
1 INTRODUCTION Polar lows (PLs) are intense, mesoscale, maritime cyclones occurring at high latitudes and developing over open water, often near a sea-ice edge or snow-covered continents during marine cold-air outbreaks (Rasmussen & Turner, 2003; Kolstad, 2006; Rojo et al., 2015; Stoll et al., 2018). These systems usually have horizontal scales ranging from 200 to 500 km with a maximum of 1000 km, and last from three to 36 hours (Bresson et al., 2022; Stoll et al., 2018).
Polar‐low track prediction using machine‐learning methods
CONFLICT OF INTEREST STATEMENT The authors declare that they have no conflict of interest. DATA AVAILABILITY STATEMENT All the data analysed here are openly available. CARRA reanalysis data on single and pressure levels from 1991 to present used in this study are publicly available from the Copernicus Climate Change Service (C3S) Climate Data Store (CDS) (DOI: 10.24381/cds.713858f6 and 10.24381/cds.e3c841ad).
Production promotion versus liquidity constraints: Agricultural production loans and farmers' staple crop storage behavior
REFERENCES (2016). Agricultural credit and technical efficiency in Ghana: Is there a nexus? Agricultural Finance Review, 76(2), 309–324. , , & (2018). Grain today, gain tomorrow: Evidence from a storage experiment with savings clubs in Kenya. Journal of Development Economics, 134, 1–15. , , & (2023). Study on the coordinated poverty reduction effect of agricultural insurance and agricultural credit and its regional differences in China. Economic Analysis and Policy, 78, 835–844. (2016).
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