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A Lake Ice Phenology Dataset for the Northern Hemisphere based on Passive Microwave Remote Sensing

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Mendeley Data2024-06-25 更新2024-06-27 收录
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https://www.scidb.cn/en/detail?dataSetId=847407996651700224
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Lake ice phenology (LIP) is an essential indicator of climate change and helps with understanding of the regional characteristics of climate change impacts. Ground observation records and remote sensing retrieval products of lake ice phenology are abundant for Europe, North America, and the Tibetan Plateau, but there is a lack of data for inner Eurasia. In this work, enhanced-resolution passive microwave satellite data (PMW) were used to investigate the Northern Hemisphere Lake Ice Phenology(PMW LIP). The Freeze Onset (FO), Complete Ice Cover (CIC), Melt Onset (MO), and Complete Ice Free (CIF) dates were derived for 753 lakes, including 409 lakes for which ice phenology retrievals were available for the period 1978 to 2020 and 344 lakes for which these were available for 2002 to 2020. Verification of PMW LIP using ground records gave correlation coefficients of 0.94 and 0.84 for CIC and CIF, respectively, and the corresponding values of the RMSE were 11.84 and 10.07 days. The lake ice phenology in this dataset was significantly correlated (P<0.001) with that obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) data — the average correlation coefficient was 0.90 and the average RMSE was 7.87 days. The minimum RMSE was 4.39 days for CIF. The PMW is not affected by the weather or the amount of sunlight and thus provides more reliable data about the freezing and thawing process information than MODIS observations. The PMW LIP dataset provides the basic freeze–thaw data that is required for research into lake ice and the impact of climate change in the cold regions of the Northern Hemisphere. This dataset is stored in Excel format - Lake ice phenology dataset for Northern Hemisphere.xls.
创建时间:
2023-06-28
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集是一个基于被动微波遥感的北半球湖泊冰物候数据集,覆盖753个湖泊,时间跨度从1978年至2020年,提供冻结开始、完全冰覆盖、融化开始和完全无冰日期等关键物候参数。数据集通过地面记录和MODIS数据验证,具有高准确性和可靠性,特别适用于研究气候变化对北半球寒冷地区湖泊冰的影响。
以上内容由遇见数据集搜集并总结生成
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