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My research interests are mainly in the field of hydroclimatology, a multidisciplinary field with strong links to climate science, hydrology, and water resources. I am interested in understanding how land and atmospheric interact at various scales, and how such interaction affects the variability and predictability of the climate system. Understanding the processes that govern land-atmosphere interactions, developing the ability to predict the variation in the hydrological processes, and determining their usefulness for resource management are the fundamental science priorities of my research. The major research topics include:
1) Climate predictability at seasonal time scale, especially how land surface conditions contribute the predictability.
2) Prediction of hydrological extremes, in particular, the onset, development, and recover of severe drought events and floods.
3) Climate change and its regional impact.
4) Human activities such as land use land cover change, irrigation, and water management on regional climate and water resources.
Dr. Lifeng Luo's research covers a range of topics related to land-atmosphere interaction and its impact on the global climate and hydrological cycle at various spatial and temporal scales. His research involves the use of statistical and dynamical approaches to downscale large scale atmospheric fields for hydrological applications. His recent research focuses on the predictability and prediction of climate extremes such as drought, floods, heat waves at subseasonal to seasonal scale. His current research activities are supported by NOAA, NASA and USDA.
Dr. Luo has authored and coauthored over 60 peer-reviewed journal articles, and some of them have been highlighted in Nature and Nature Reports Climate Change. He has reviewed more than 60 manuscripts for numerous scientific journals, and has served on several review panels for funding agencies. He is currently a member of the WCRP/GEWEX/GLASS panel and a member of the US Drought Task Force.
My research interests are mainly in the field of hydroclimatology, a multidisciplinary field with strong links to climate science, hydrology, and water resources. I am interested in understanding how land and atmospheric interact at various scales, and how such interaction affects the variability and predictability of the climate system. Understanding the processes that govern land-atmosphere interactions, developing the ability to predict the variation in the hydrological processes, and determining their usefulness for resource management are the fundamental science priorities of my research. The major research topics include:
1) Climate predictability at seasonal time scale, especially how land surface conditions contribute the predictability.
2) Prediction of hydrological extremes, in particular, the onset, development, and recover of severe drought events and floods.
3) Climate change and its regional impact.
4) Human activities such as land use land cover change, irrigation, and water management on regional climate and water resources.
Dr. Lifeng Luo's research covers a range of topics related to land-atmosphere interaction and its impact on the global climate and hydrological cycle at various spatial and temporal scales. His research involves the use of statistical and dynamical approaches to downscale large scale atmospheric fields for hydrological applications. His recent research focuses on the predictability and prediction of climate extremes such as drought, floods, heat waves at subseasonal to seasonal scale. His current research activities are supported by NOAA, NASA and USDA.
Dr. Luo has authored and coauthored over 60 peer-reviewed journal articles, and some of them have been highlighted in Nature and Nature Reports Climate Change. He has reviewed more than 60 manuscripts for numerous scientific journals, and has served on several review panels for funding agencies. He is currently a member of the WCRP/GEWEX/GLASS panel and a member of the US Drought Task Force.
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23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING, ICDM 2023pp.1031-1036, (2023)
Environmental Research Communicationsno. 11 (2023): 111003-111003
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