全国271个湖泊日尺度湖面温度数据集

湖面温度是湖泊能量平衡的表征参量，也是湖泊重要的环境因子之一，大范围日尺度的湖面温度较为有限，一方面遥感数据受天气、覆盖范围、传感器等因素影响存在一定缺失，另一方面湖泊模型缺乏实测数据进行率定。因此结合遥感和模型生产全国271个湖泊1957-2019日尺度湖面温度数据产品。

Lake surface temperature (LST) is a representative parameter of lake energy balance and one of the important environmental factors for lakes. However, the availability of large-scale daily lake surface temperature data is limited. On one hand, remote sensing data has certain data gaps due to factors such as weather, spatial coverage, and sensor limitations; on the other hand, lake models lack in-situ observational data for calibration. Therefore, this study integrated remote sensing data and lake models to generate a daily-scale lake surface temperature dataset covering 271 lakes across China from 1957 to 2019.

搜集汇总

背景与挑战

背景概述

该数据集提供了全国271个湖泊1957-2019年的日尺度湖面温度数据，结合遥感和模型方法生成，旨在填补大范围日尺度湖面温度数据的空白。数据以XLSX格式存储，适用于湖泊能量平衡和环境因子研究。