中国区域湖泊表层水温数据集（1950-2100）

本数据包含中国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。本数据可为气候变化和湖泊生态研究提供基础。

This dataset contains lake surface water temperatures and lake heatwaves for 169 lakes located in China. The data were simulated using the one-dimensional lake model CSFLake (Coupling remote Sensing observations and FLake), which is coupled with satellite observations. For the historical period, the data have an hourly temporal resolution, spanning from 00:00:00 on January 1, 1950 to 23:00:00 on December 31, 2022, and are forced by ERA5-Land meteorological driving data. For the future projection period, the data have a daily temporal resolution, covering the timeframe from January 1, 1950 to December 31, 2100, and are forced by NEX-GDDP-CMIP6 meteorological driving data, which includes four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). This dataset was validated against satellite products of lake surface water temperatures and in-situ observational 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, the average correlation coefficient against 171,479 satellite observations during 2000–2020 is 0.97, with an average root-mean-square error of 1.39℃, indicating reliable validation results. This dataset can serve as a fundamental data resource for research on climate change and lake ecology.

搜集汇总

背景与挑战

背景概述

该数据集涵盖中国169个湖泊的表层水温和热浪数据，时间跨度为1950年至2100年，由CSFLake模型模拟生成，历史时期为逐小时分辨率，未来预估为逐日分辨率。数据经过卫星和原位观测验证，准确性高（平均相关系数0.97，均方根误差1.39℃），主要用于支持气候变化和湖泊生态研究。