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Understanding and predicting the adaptive responses of plants to global changes and their impacts on the carbon cycle of terrestrial ecosystems have always been a central topic in global change ecology. Earth system models are important tools for quantitative research on this topic. Traditional land surface components of Earth system models typically assume constant functional traits, such as m...
Infrastructure serves as the cornerstone of social development. Ensuring fair access to and use of infrastructure for residents is crucial for achieving sustainable development and promoting public health. However, research on the relationship between global infrastructure and human health remains significantly insufficient.To fill this gap, the research team led by Professor Xu Bing from the D...
Recently, the China Meteorological Forcing Data (CMFD) Version 2.0, jointly developed by the Institute of Tibetan Plateau Research, Chinese Academy of Sciences, and the Department of Earth System Science (DESS), Tsinghua University, has been publicly released. Users can download the data from the National Tibetan Plateau Data Center. CMFD is a set of high-precision, high-resolution, and long-ti...
A team of international researchers has published a perspective article in Environmental Research Letters, advocating for a commonly accepted definition of resilience and a unified research framework for studying tipping points.The study, led by Professor Chuixiang Yi of Queens College, City University of New York, brings together experts from top institutions worldwide to address inconsistenci...
Accurate weather forecasts are important for disaster prevention, agricultural planning, and water resource management. Traditional numerical weather prediction (NWP) methods offer physically interpretable high-accuracy predictions but are computationally expensive and fail to fully leverage rapidly growing historical data. In recent years, deep learning methods have made significant progress i...
Recently, the award ceremony for was held in Guangzhou. Long Time Series Nighttime Light Dataset of China (2000-2020) jointly published by the National Supercomputing Center in Shenzhen, Tsinghua University, the International Research Center of Big Data for Sustainable Development Goals (CBAS) and the University of Hong Kong won the "Top Ten Most Valuable Annual Datasets" award, and Fu Haohuan...
Bioenergy with Carbon Capture and Storage (BECCS), as a key technology for global carbon neutrality, functions through a fundamental principle which revolves around planting bioenergy crops, leveraging their rapid growth characteristics to absorb and fix carbon dioxide from the atmosphere, converting the harvested biomass into energy, and capture and sequestration of the CO2 emissions generated...
Wenjia Cai’s group releases the innovative emission reduction strategies to facilitate a low-cost transition in the coal power sectorTsinghua University News, February 3rd —Under the Paris Agreement’s 1.5°C target, global emissions from coal power plants need to decline rapidly. However, in developing countries like China and India, coal power capacity remains vast, with many plants newly bu...
