A dataset of lake ice phenology in Northeast China from 2000 to 2022
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 km2,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.
MODISlake surface temperaturelake ice phenologyNortheast China
万方数据
维普
