青藏高原湖冰物候数据集(1978-2016)
收藏国家青藏高原科学数据中心2022-04-15 更新2024-03-06 收录
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https://data.tpdc.ac.cn/zh-hans/data/b862ddb1-20a4-4b1b-8d29-9efd6a5c4285
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资源简介:
1978-2016青藏高原湖冰物候数据集包含青藏高原132个湖泊(面积大于40平方公里)1978-2016年的湖冰物候(开始结冰日、完全结冰日、开始融化日、完全融化、冰期、完全结冰期)。数据集利用模型和遥感结合的方式获取物候信息,首先基于MOD11A2提取的全湖平均湖面温度率定改进的湖泊半物理模型(air2water)生成日尺度长时序湖面温度序列,再利用MOD10A1雪覆盖产品获取湖冰物候提取的温度阈值。与现有研究结果和数据集对比,相关性(R方)高于0.75。该数据集结合遥感技术和数值模型的优势,为大时空尺度上分析青藏高原湖泊水-气交换、水热平衡及湖泊中生物化学过程对气候变化的响应提供支撑。
The 1978–2016 Tibetan Plateau Lake Ice Phenology Dataset includes 132 lakes on the Tibetan Plateau with an area larger than 40 km², and contains lake ice phenology records (start of ice freeze-up, date of full ice coverage, start of ice break-up, date of full ice melt, total ice duration, and full ice coverage duration) for the period 1978–2016. This dataset was developed by combining remote sensing and numerical models: first, the improved semi-physical lake model (air2water) was calibrated using the full-lake average surface temperature extracted from MOD11A2 to generate a daily long-time series lake surface temperature sequence, then the MOD10A1 snow cover product was used to obtain the temperature threshold for lake ice phenology extraction. Compared with existing research results and datasets, the coefficient of determination (R²) of this dataset is higher than 0.75. By leveraging the advantages of remote sensing technology and numerical models, this dataset provides support for analyzing the responses of lake-atmosphere water exchange, hydrothermal balance, and biogeochemical processes in Tibetan Plateau lakes to climate change at large spatio-temporal scales.
提供机构:
郭立男,吴艳红,Zheng Hongxing,张兵,迟皓婧,范兰馨
创建时间:
2022-02-24
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集提供了1978-2016年青藏高原132个面积大于40平方公里的湖泊的湖冰物候信息,包括开始结冰日、完全结冰日等关键参数,通过结合遥感技术和数值模型生成,确保了数据的长期性和准确性。数据集旨在支持分析湖泊水-气交换、水热平衡及生物化学过程对气候变化的响应,具有较高的科学应用价值。
以上内容由遇见数据集搜集并总结生成



