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首页> 外文期刊>The Cryosphere >Observation-derived ice growth curves show patterns and trends in maximum ice thickness and safe travel duration of Alaskan lakes and rivers
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Observation-derived ice growth curves show patterns and trends in maximum ice thickness and safe travel duration of Alaskan lakes and rivers

机译:观察衍生的冰增长曲线显示出最大冰厚度和阿拉斯加州湖泊和河流安全行驶持续时间的模式和趋势

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The formation, growth, and decay of freshwater ice on lakes and rivers are fundamental processes of northern regions with wide-ranging implications for socio-ecological systems. Ice thickness at the end of winter is perhaps the best integration of cold-season weather and climate, while the duration of thick and growing ice cover is a useful indicator for the winter travel and recreation season. Both maximum ice thickness (MIT) and ice travel duration (ITD) can be estimated from temperature-driven ice growth curves fit to ice thickness observations. We simulated and analyzed ice growth curves based on ice thickness data collected from a range of observation programs throughout Alaska spanning the past 20–60 years to understand patterns and trends in lake and river ice. Results suggest reductions in MIT (thinning) in several northern, interior, and coastal regions of Alaska and overall greater interannual variability in rivers compared to lakes. Interior regions generally showed less variability in MIT and even slightly increasing trends in at least one river site. Average ITD ranged from 214 d in the northernmost lakes to 114 d across southernmost lakes, with significant decreases in duration for half of sites. River ITD showed low regional variability but high interannual variability, underscoring the challenges with predicting seasonally consistent river travel. Standardization and analysis of these ice observation data provide a comprehensive summary for understanding changes in winter climate and its impact on freshwater ice services.
机译:湖泊和河流淡水冰的形成,生长和腐烂是北部地区的基础过程,具有广泛影响社会生态系统的影响。冬季结束时的冰厚度可能是寒冷季节天气和气候的最佳融合,而厚厚的冰盖持续时间是冬季旅行和娱乐季节的有用指标。可以从温度驱动的冰增长曲线估算适合冰厚度观察的最大冰厚度(MIT)和冰行程持续时间(ITD)。我们基于在过去20 - 60年的一系列观察计划中收集的冰厚度数据模拟和分析了冰增长曲线,涵盖了过去20 - 60年来了解湖泊和河流的模式和趋势。结果表明,与湖泊相比,阿拉斯加的几个北部,内部和沿海地区的麻省理工学院(薄弱)和沿海地区的总际际变异性。内部区域通常显示出在至少一条河网站的麻省理工学院甚至略微增加的趋势略有变化。在最南端的湖泊中,平均ITD从214 D中的北部到114 D中,持续时间显着降低。 River ITD展示了低区域变异性,但持续的际变化,强调了预测季节性一致的河流旅行的挑战。这些冰观察数据的标准化和分析提供了一个综合摘要,以了解冬季气候变化及其对淡水冰服务的影响。

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