Fei Ji
Biographic Data
| ID | 6820904 |
|---|---|
| NAME | Fei Ji |
| GIVEN NAMES | Fei |
| FAMILY NAME | Ji |
| SIGNATURE | JI F |
| AFFILIATIONS | NSW Department of Planning and Environment |
| ORCID | 0000-0002-7985-1558 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Observed evolution of global climate change hotspots
This study introduces a novel dynamical climate change hotspot index standard Euclidean distance, capturing variations in temperature and precipitation through average, variability, and extreme values, and utilizes ensemble empirical mode decomposition to analyze nonlinear long-term trends globally. Results highlight pronounced regional disparities, with regions like the Tibetan Plateau, Mongolia, and the Arabian Peninsula emerging as persistent …
The Belt and Road Initiative, outward foreign direct investment and total factor productivity—Evidence from China
This article takes the proposal of the Belt and Road Initiative (BRI) in 2013 as a quasinatural experiment, uses the difference‐in‐difference model and data on China's listed companies from 2010 to 2021 to examine the relationship between outward foreign direct investment (OFDI) and total factor productivity in the micro level. The empirical results show that after the BRI is put forward, enterprise investments in countries along the Belt and Roa…
Future population exposure to Australian heatwaves
Heatwaves are Australia’s deadliest natural hazard. Anthropogenic climate change has increased the intensity, frequency and duration of heatwaves over Australia in the past several decades and these trends are projected to worsen in the future. Despite the strong knowledge of heatwave characteristics and their projected changes, there remains a gap in understanding how the Australian population will be exposed to future heatwaves. This study esti…
Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia
Probabilistic seasonal rainfall forecasting is of great importance for stakeholders such as farmers and policymakers to assist in developing risk management strategies and to inform decisions. In practice, there are two kinds of commonly used tools, dynamical models and statistical models, to provide probabilistic seasonal rainfall forecasts. Dynamical models are based on physical processes but are usually expensive to operate and implement, and …
Optimally choosing small ensemble members to produce robust climate simulations
This study examines the subset climate model ensemble size required to reproduce certain statistical characteristics from a full ensemble. The ensemble characteristics examined are the root mean square error, the ensemble mean and standard deviation. Subset ensembles are created using measures that consider the simulation performance alone or include a measure of simulation independence relative to other ensemble members. It is found that the ind…
No prominent works on this page.
Optimally choosing small ensemble members to produce robust climate simulations
This study examines the subset climate model ensemble size required to reproduce certain statistical characteristics from a full ensemble. The ensemble characteristics examined are the root mean square error, the ensemble mean and standard deviation. Subset ensembles are created using measures that consider the simulation performance alone or include a measure of simulation independence relative to other ensemble members. It is found that the ind…
Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia
Probabilistic seasonal rainfall forecasting is of great importance for stakeholders such as farmers and policymakers to assist in developing risk management strategies and to inform decisions. In practice, there are two kinds of commonly used tools, dynamical models and statistical models, to provide probabilistic seasonal rainfall forecasts. Dynamical models are based on physical processes but are usually expensive to operate and implement, and …
Future population exposure to Australian heatwaves
Heatwaves are Australia’s deadliest natural hazard. Anthropogenic climate change has increased the intensity, frequency and duration of heatwaves over Australia in the past several decades and these trends are projected to worsen in the future. Despite the strong knowledge of heatwave characteristics and their projected changes, there remains a gap in understanding how the Australian population will be exposed to future heatwaves. This study esti…
The Belt and Road Initiative, outward foreign direct investment and total factor productivity—Evidence from China
This article takes the proposal of the Belt and Road Initiative (BRI) in 2013 as a quasinatural experiment, uses the difference‐in‐difference model and data on China's listed companies from 2010 to 2021 to examine the relationship between outward foreign direct investment (OFDI) and total factor productivity in the micro level. The empirical results show that after the BRI is put forward, enterprise investments in countries along the Belt and Roa…
Observed evolution of global climate change hotspots
This study introduces a novel dynamical climate change hotspot index standard Euclidean distance, capturing variations in temperature and precipitation through average, variability, and extreme values, and utilizes ensemble empirical mode decomposition to analyze nonlinear long-term trends globally. Results highlight pronounced regional disparities, with regions like the Tibetan Plateau, Mongolia, and the Arabian Peninsula emerging as persistent …
Climatology (4 works) · Climate change (3 works) · Climate variability and models (3 works) · Environmental Science (3 works) · Geography (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Ecology (2 works) · Meteorological Phenomena and Simulations (2 works) · Meteorology (2 works)