A streamlined workflow for processing daily ensemble mean SWE from the HMA-SR dataset, focused on catchment-scale analysis.
Structural break analysis of Arctic sea ice: a significant 2007 regime shift reduces forecast error by 37%. Winter climate indices add no predictive skill.
This code generates snow properties by applying the SPIReS algorithm v2024.1.0, derived from https://github.com/edwardbair/SPIRES (Bair et al., 2021) to the MOD09GA product (Vermotte and Wolfe, 2021). The algorithm produces daily raster images of snow cover and snow surface properties.
Granger causality check on winter AO vs September sea ice extent, extending Arctic-Sea-Ice-AO-Prediction. No significant link on its own, on a properly stationary series built around the 2007 break. A follow-up check confirms AO's original significance holds once persistence is controlled for.
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