中国区域湖泊表层水温数据集(1950-2100）

该数据包含中国169个湖泊的湖泊表面水温和湖泊热浪。数据由与卫星数据耦合的一维湖泊模型CSFLake（Coupling remote Sensing observations and FLake）模拟得到。历史时期数据时间分辨率为逐小时，时间范围为1950-01-01 00:00:00至2022-12-31 23:00:00，气象驱动数据为ERA5-Land。未来预估数据时间分辨率为逐日，时间范围为1950-01-01至2100-12-31，气象驱动数据为NEX-GDDP-CMIP6，包括4个共享社会经济路径（SSP1-2.6、SSP2-4.5、SSP3-7.0和SSP5-8.5）。本数据与湖泊表层水温的卫星产品和中国10个湖泊（太湖、千岛湖、鄱阳湖、呼伦湖、纳木错、泸沽湖、洱海、抚仙湖、程海、滇池）的原位观测数据进行了验证。其中与2000-2020期间171479个卫星观测值的平均相关系数为0.97，平均均方根误差为1.39℃，验证结果可信。
数据申请成功后，数据链接提取码为：2023

This dataset contains lake surface water temperatures and lake heatwaves for 169 lakes across China. The data were simulated using the one-dimensional lake model CSFLake (Coupling remote Sensing observations and FLake), which is coupled with satellite remote sensing data.

For the historical period data, the temporal resolution is hourly, covering the time span from 00:00:00 on January 1, 1950 to 23:00:00 on December 31, 2022, and it is driven by ERA5-Land meteorological data.

The future projection data has a daily temporal resolution, spanning from January 1, 1950 to December 31, 2100, and is driven by NEX-GDDP-CMIP6 data including four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5).

This dataset was validated against satellite-derived lake surface water temperature products and in-situ observation data from 10 lakes in China: Taihu Lake, Qiandao Lake, Poyang Lake, Hulun Lake, Namtso Lake, Lugu Lake, Erhai Lake, Fuxian Lake, Chenghai Lake, and Dianchi Lake. Specifically, against 171,479 satellite observations during 2000–2020, the dataset achieved an average correlation coefficient of 0.97 and an average root mean square error of 1.39℃, demonstrating reliable validation results.

After successful application for this dataset, the extraction code for the data link is: 2023

搜集汇总

背景与挑战

背景概述

该数据集包含中国169个湖泊1950-2100年的表层水温数据，由耦合卫星数据的一维湖泊模型CSFLake模拟生成，历史时期数据为逐小时分辨率，未来预估数据为逐日分辨率。数据经过卫星产品和10个湖泊原位观测数据的验证，平均相关系数为0.97，均方根误差为1.39℃，验证结果可信。