2000-2022年中国东北地区湖冰物候数据集  

A dataset of lake ice phenology in Northeast China from 2000 to 2022

作　　者：王春绪 杨倩 石晓光 郝晓华 宋开山 WANG Chunxu;YANG Qian;SHI Xiaoguang;HAO Xiaohua;SONG Kaishan(School of Geomatics and Prospecting Engineering,Jilin Jianzhu University,Changchun 130118,P.R.China;Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130120,P.R.China;Northwest Institute of Ecological Environment and Resources,Chinese Academy of Sciences,Lanzhou,730000,P.R.China)

机构地区：[1]吉林建筑大学,测绘与勘查工程学院,长春130118 [2]中国科学院东北地理与农业生态研究所,长春130120 [3]中国科学院西北生态环境资源研究院,兰州730000

出　　处：《中国科学数据（中英文网络版）》2024年第3期196-210,共15页China Scientific Data

基　　金：国家重点研发计划(2022YFF0711702);吉林省科技厅发展项目计划项目(YDZJ202301ZYTS212)。

摘　　要：湖冰物候是区域气候变化的敏感指示因子,在湖泊环境管理、湖泊能量交换和人类冬季活动等方面发挥着至关重要的作用。中国东北地区湖泊群是我国湖泊密度较大的地区之一,也是我国对气候变化较为敏感和响应显著的地区之一。研究东北地区湖冰物候特征具有重要的科学意义和应用价值。本文选取中国东北地区31个湖泊面积>20 km^(2)的典型湖区,基于谷歌地球引擎(Google Earth Engine,GEE)融合MOD11A1和MYD11A1获取湖表温度(Lake Water Surface Temperature,LWST)的时间序列,利用正交距离回归算法填补时间序列空白值,构建了中国东北地区2000-2022年期间31个湖泊表面温度数据集和湖冰物候数据集,包括结冰日(Freeze-up Date,FUD)、融冰日(Break-up Date,BUD)和冰期(Ice Cover Duration,ICD)。此外,选取28个气象站对湖表温度精度进行验证,结果表明湖表温度与气象站地温(Ground Surface Temperature,GST)、气温(Air Temperature,AT)的相关系数分别为0.98和0.99。基于水文年鉴的冰情统计结果验证湖冰物候,结冰日、融冰日和冰期的相关系数分别为0.88、0.85、0.94,基于其他数据集的冰情统计结果验证结果相关系数均大于0.80,说明数据集提供的物候信息具有较好的精度,能够为中国东北地区湖冰时空变化规律及气候变化研究提供数据支撑。As a sensitive indicator of regional climate change,lake ice phenology plays a crucial role in lake environmental management,energy exchange,and human winter activities.The lakes in Northeast China characterized by their high density,are particularly sensitive and significant to climate change.Therefore,studying lake ice phenology in Northeast China holds important scientific significance and application value.In this paper,we selected 31 typical lakes in Northeast China,each with an area greater than 20 km^(2),to obtain the time series of Lake Water Surface Temperature(LWST)by fusing MOD11A1 and MYD11A1 via GEE platform.And we utilized orthogonal distance regression to fill in the null values of the time series.On this basis,we produced a dataset of lake water surface temperature and lake ice phenology across 31 lakes during 2000–2022 in Northeast China,covering Freeze-up Date(FUD),Break-up Date(BUD),and Ice Cover Duration(ICD).In addition,28 meteorological stations were selected to validate the accuracy of lake surface temperature.The results indicate that the correlation coefficients between lake surface temperature and Ground Surface Temperature(GST)and Air Temperature(AT)at the meteorological stations were 0.98 and 0.99,respectively.Ice records from hydrological stations were used to validated the lake ice phenology.The correlation coefficients for Freeze-up Date,Break-up Date and Ice Cover Duration were 0.88,0.85 and 0.94 respectively.The validation results for ice condition statistics based on other datasets shows correlation coefficients greater than 0.80,which indicates that the climatic information provided by the dataset is highly accurate.The dataset can provide data support for studying the temporal and spatial variation rules of lake ice and climate change in Northeast China.

关 键 词：MODIS 湖表温度 湖冰物候 中国东北地区 

分 类 号：P467[天文地球—大气科学及气象学] P343.63