160 Lakes on the Qinghai -Tibet Plateau 40 years of water temperature data released

Recently, the Water Environment Remote Sensing Team of the China Academy of Sciences Air Sky Information Innovation Research Institute (Air Sky Institute) and Sustainable Development Big Data International Research Center (SDG Center) has made important progress in large -scale dynamic monitoring and simulation of lake temperatures. The team fusion of remote sensing and numerical simulation technology, rebuilt 160 lakes in the Qinghai-Tibet Plateau 1978-2017 Daily water temperature data.

This data product has been released simultaneously on the "National Qinghai -Tibet Plateau Science Data Center" and Zenodo data sharing platform. Related research results were published in the academic journal "Scientific Data of the Earth System".

Lake water temperature is an important variable for regional water and energy balance, and it is also a controlive parameter for lake aquatic ecosystems. Due to the limitations of conventional ground observation, the water temperature observation data of the Qinghai -Tibet Plateau lake is generally lacking. The team integrates remote sensing and numerical simulation technology, developed the technical framework of water temperature data reconstruction, and broke the limitations of high -transplantability and poor transplantability. It reveals the time and space evolution of the water temperature of the Qinghai -Tibet Plateau and its response to climate change.

Among them, the team has rebuilt a widely covered and long -term lake temperature data product. In response to the basic characteristics and data foundation of lake water and heat balance in the Qinghai -Tibet Plateau, the team improved the one -dimensional energy balance model of the lake, and used the Google Earth Engine (GEE) platform to obtain the time sequence of the average temperature of the lake based on the MOD11A1 data. Dinghe verification, the 1978-2017 Lake temperature data set of 160 lakes of the Qinghai-Tibet Plateau was rebuilt for the first time. This data product has a wide range of coverage, long time span, and high time resolution. It can provide important technical and data support for the response of the energy balance of the Qinghai -Tibet Plateau lake. Further inspection shows that the data product is very consistent with the temperature of the lake surface on the ground.

Based on the reconstructed lake temperature time sequence, the team revealed the time and space evolution of the temperature of the Lake surface of the Qinghai -Tibet Plateau. Studies have found that in the past 40 years (1978-2017), the surface temperature of most lakes on the Qinghai-Tibet Plateau has shown an upward trend. Heating up), the heating rate of the southern lake is higher than the northern lake (see Figure 2). The results of this research have an important value on the impact of changes in the revenue and expenditure changes in the water heat of the Qinghai -Tibet Plateau in the future.

In addition, the technical framework of the team development also has strong versatility and portability. In the future, the UN sustainable development goals "protect and restore water -related ecosystems, including mountains, forests, wetlands, rivers, and underground water -containing layers The monitoring data of "SDG-6.6)" (SDG-6.6) reveals the impact of changes in water temperature on lake water quality and aquatic biological groups, and provides important basic data and decision-making basis for the supervision of lake water quality and aquatic biological groups. (Qi Fang, all media reporter of Guangming Daily)

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