Seasonal maximum ice thickness data for rivers and lakes in Alaska from 1962 to 2019
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Ice growth through the winter integrates air and water temperature, snow conditions, wind, and hydrology. Thus the maximum thickness of ice provides an integrative measure of winter conditions that can be compared among years, regions, and water bodies. Estimates of maximum ice thickness (MIT) are provided for many rivers and lakes in Alaska. MIT estimates are based on late winter observations of ice thickness from numerous data sources fit to a temperature driven ice growth model (modified Stefan equation) for each year and site. These estimates provide a standardized comparison of ice thickness among water bodies and regions over a time when winter climate has been changing in Alaska.
冬季冰体生长过程整合了气温、水温、积雪状况、风力与水文条件。因此,最大冰厚可作为冬季环境条件的综合衡量指标,能够在不同年份、区域及水体之间开展对比。本数据集为阿拉斯加州的众多河流与湖泊提供了最大冰厚(maximum ice thickness, MIT)估算值。该MIT估算值依托每年、各站点的多源冬末冰厚观测数据,通过拟合温度驱动的冰生长模型(modified Stefan equation)生成。在阿拉斯加州冬季气候持续变化的时期,这些估算值可实现不同水体与区域间冰厚的标准化对比。



