Showing 11 results for Researcher: Xiaoying Shi
May 8, 2024
5 MIN READ
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.
September 6, 2022
1 MIN READ
Global carbon emissions from inland waters such as lakes, rivers, streams and ponds are being undercounted by about 13% and will likely continue to rise given climate events and land use changes, ORNL scientists found.
February 1, 2022
1 MIN READ
A new analysis from Oak Ridge National Laboratory shows that intensified aridity, or drier atmospheric conditions, is caused by human-driven increases in greenhouse gas emissions. The findings point to an opportunity to address and potentially reverse the trend by reducing emissions.
July 27, 2020
5 MIN READ
Scientists at Oak Ridge National Laboratory have demonstrated a direct relationship between climate warming and carbon loss in a peatland ecosystem.
July 6, 2020
1 MIN READ
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
February 11, 2020
4 MIN READ
A team of scientists led by Oak Ridge National Laboratory found that while all regions of the country can expect an earlier start to the growing season as temperatures rise, the trend is likely to become more variable year-over-year in hotter regions.
April 24, 2018
5 MIN READ
A new earth modeling system will use advanced computers and have weather scale resolution to simulate aspects of Earth’s variability and anticipate decadal changes that will critically impact the United States’ energy sector. The Energy Exascale Earth System Model, or E3SM, relea...
April 24, 2018
5 MIN READ
A new earth modeling system will use advanced computers and have weather scale resolution to simulate aspects of Earth’s variability and anticipate decadal changes that will critically impact the United States’ energy sector. The Energy Exascale Earth System Model, or E3SM, release will include m...
July 5, 2017
1 MIN READ
A new integrated computational model reduces uncertainty in climate predictions by bridging Earth systems with energy and economic models and large-scale human impact data. Co-developed by Oak Ridge National Laboratory, the novel integrated Earth system model, or iESM, leverages the power of supercomputers, including ORNL’s Titan, to couple biospheric feedbacks from oceans, atmosphere and land with human activity, such as fossil fuel emissions, agriculture and land use.
June 20, 2017
2 MIN READ
Synchronous coupling of an Earth system model with an energy-economics model eliminates important sources of climate and human system prediction uncertainty The inconsistencies associated with asynchronous, one-way coupling of human and Earth system models, and to eliminate inconsistencies by...
June 29, 2016
3 MIN READ
A multinational team led by the Department of Energy’s Oak Ridge National Laboratory Climate Change Science Institute has found the first positive correlation between human activity and enhanced vegetation growth. The research team, led by Jiafu Mao of the Ecosys...