Xinjia HuUniversity of Oxford | OX
Xinjia Hu
Doctor of Philosophy
About
6
Publications
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Introduction
I did my Ph.D. research focusing on forecasting ENSO-related meteorological variables and estimating disaster economic loss. My Ph.D. project is part of the Marie Curie ITN project CAFE (Climate Advanced Forecasting of sub-seasonal Extremes; http://www.cafes2se-itn.eu/).
Publications
Publications (6)
Reliable El Niño Southern Oscillation (ENSO) prediction at seasonal-to-interannual lead times would be critical for different stakeholders to conduct suitable management. In recent years, new methods combining climate network analysis with El Niño prediction claim that they can predict El Niño up to 1 year in advance by overcoming the spring barrie...
Estimation of economic loss is essential for stakeholders to manage flood risk. Most flooding events are closely related to extreme precipitation, which is influenced by large-scale climate factors. Considering the lagged influence of climate factors, we developed a flood-risk assessment framework and used Hunan Province in China as an example to i...
Southeastern South America (SESA)’s precipitation is thought to be influenced by both El Niño Southern Oscillation (ENSO) and Antarctic Oscillation (AAO), especially in austral spring. Previous studies conclude AAO can modulate ENSO’s impact on precipitation over the SESA region without differentiating between El Niño and La Niña events. In the pre...
Salt minerals have profound influences on soil architecture and physical properties through efflorescence and subflorescence. However, there is a lack of data on identifying the role of salt mineral types in aeolian erosion. In this study, seven types of single salt including NaCl, KCl, MgCl 2 , Na 2 SO 4 , K 2 SO 4 , MgSO 4 , and Na 2 CO 3 were ex...
Tillage erosion provides an opportunity for the occurrence of bedrock erosion in hilly croplands with shallow soil layer, influencing the hillslope architecture to some extent. In this study, tillage simulation, hydraulic tests and dye-staining tracing were performed to identify the variation in architectures and relevant hydraulic properties of th...
Reliable El Niño Southern Oscillation (ENSO) prediction at seasonal-to-interannual lead times would be critical for different stakeholders to conduct suitable management. In recent years, new methods combining climate network analysis with El Niño prediction claim that they can predict El Niño up to 1 year in advance by overcoming the spring barrie...