White blanket, blue waters: Tracing El Niño footprints in Canada

IF 7.6 Q1 REMOTE SENSING
Afshin Amiri , Silvio Gumiere , Hossein Bonakdari
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引用次数: 0

Abstract

The El Niño Southern Oscillation (ENSO) significantly influences global climate patterns, with one of the strongest warm phases (El Niño) occurring in 2023, altering precipitation and temperature regimes. In this study, the spatiotemporal variability in snow cover across Canadian provinces from December 2023 to February 2024 relative to long-term averages is explored. The NOAA-OISST, NOAA-CSFV2, and MODIS MOD10A1 remote sensing datasets were selected to assess the impacts of El Niño on snow cover changes and the subsequent effects on water availability, agricultural productivity, the municipal water supply, natural ecosystems, and wildfire risk in Canada. An analysis of sea surface temperature anomalies in the equatorial Pacific revealed that El Niño intensity and progression are linked to regional snow cover deviations. Compared with the long-term average, Canada’s snow cover area experienced significant declines in December 2023, January 2024, and February 2024, with decreases of 135,938 km2 (−7.43 %), 309,928 km2 (−15.26 %), and 136,406 km2 (−4.57 %), respectively. The findings indicate significant disparities among provinces, with Ontario, Quebec, and Manitoba experiencing marked decreases in snow cover, whereas in Saskatchewan and Alberta, initial increases were followed by subsequent variability. In British Columbia, a late-season increase in snow was observed, whereas minor changes were noted in the Maritime provinces and Northern territories. The findings of this study highlight the importance of snow cover as an important factor that has a considerable impact on the hydrological cycle and agricultural productivity, influences environmental health and economic resilience, and is crucial for both natural ecosystems and human livelihoods.
白色的毯子,蓝色的海水:追寻厄尔尼诺现象在加拿大的足迹
厄尔尼诺南方涛动(ENSO)对全球气候模式有重大影响,其中最强的暖相(厄尔尼诺)出现在 2023 年,改变了降水和温度机制。本研究探讨了 2023 年 12 月至 2024 年 2 月加拿大各省积雪相对于长期平均值的时空变化。研究选择了 NOAA-OISST、NOAA-CSFV2 和 MODIS MOD10A1 遥感数据集,以评估厄尔尼诺现象对积雪覆盖变化的影响,以及随后对加拿大水供应、农业生产力、市政供水、自然生态系统和野火风险的影响。对赤道太平洋海面温度异常的分析表明,厄尔尼诺现象的强度和发展与区域雪盖偏差有关。与长期平均值相比,加拿大的积雪面积在 2023 年 12 月、2024 年 1 月和 2024 年 2 月出现大幅下降,分别减少了 135,938 平方公里(-7.43%)、309,928 平方公里(-15.26%)和 136,406 平方公里(-4.57%)。研究结果表明,各省之间的差异很大,安大略省、魁北克省和马尼托巴省的积雪面积明显减少,而萨斯喀彻温省和阿尔伯塔省的积雪面积在最初增加后随之出现变化。在不列颠哥伦比亚省,观察到晚季积雪增加,而在海洋省份和北部地区则发现了轻微的变化。这项研究的结果凸显了积雪作为一个重要因素的重要性,它对水文循环和农业生产率有相当大的影响,影响环境健康和经济恢复能力,对自然生态系统和人类生计都至关重要。
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来源期刊
International journal of applied earth observation and geoinformation : ITC journal
International journal of applied earth observation and geoinformation : ITC journal Global and Planetary Change, Management, Monitoring, Policy and Law, Earth-Surface Processes, Computers in Earth Sciences
CiteScore
12.00
自引率
0.00%
发文量
0
审稿时长
77 days
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
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