A recent study published in Recent Advances in Remote Sensing reveals warming trends in ten of the world’s largest lakes: Caspian Sea, Superior, Victoria, Huron, Michigan, Tanganyika, Baikal, Great Slave Lake, Erie, and Ontario. This analysis, conducted by the Global Change Unit at the University of Valencia, utilized data from the MODIS Level 3 SST Thermal IR 8 Day 4km V2019.0 product from 2003 to 2020. The results indicate significant temperature increases, with Lake Baikal experiencing the fastest temperature rise at an average of 0.083°C per year. This study is relevant as LSWT serves as an indicator of how climate change may be influencing the physical dynamics and aquatic ecosystems of lakes worldwide.
The analysis highlights the utility of remote sensing data in overcoming limitations of in-situ measurements, providing continuous and homogeneous time series. Furthermore, validation of the study demonstrates high correlations (between 0.962 and 0.998) with previous studies, reaffirming the accuracy of MODIS products in estimating LSWT.
The study also notes that lakes are warming at a faster rate than global water surfaces, which could have significant implications for regional climate and aquatic biodiversity.