Linfei Yu
Biographic Data
| ID | 7997968 |
|---|---|
| NAME | Linfei Yu |
| GIVEN NAMES | Linfei |
| FAMILY NAME | Yu |
| SIGNATURE | YU L |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0002-8255-0860 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Land-atmosphere interactions mitigate the direct surface-drying effects of land use and cover change
Quantifying the indirect effects of different air pollutants on crop yields in North China Plain
High concentrations of air pollutants could affect crop yield directly via influencing crop physiology and indirectly via regulating climate conditions. How multiple air pollutants affect crop yields directly and indirectly remains elusive in the North China Plain (NCP), which is the hotspot of air pollution and crop production. Here, we construct data-driven models to quantify the indirect effects of four major air pollutants on the yields of wi…
Observational constraint on climate model projections of global compound hot–dry events and the socioeconomic risks under climate change
The frequency of compound hot–dry events ( f HD ) is projected to increase significantly with future warming, yet associated uncertainties remain considerable and poorly constrained. In this study, we constrain future projections of f HD (2070–2099) using observations of recent trends in temperature ( T ) and precipitation ( P ) (1980–2014) during the warm-seasons. The physical mechanism is that the variance of f HD across climate models is domin…
Disentangling the separate and confounding effects of temperature and precipitation on global maize yield using machine learning, statistical and process crop models
Temperature impacts on crop yield are known to be dependent on concurrent precipitation conditions and vice versa. To date, their confounding effects, as well as the associated uncertainties, are not well quantified at the global scale. Here, we disentangle the separate and confounding effects of temperature and precipitation on global maize yield under 25 climate scenarios. Instead of relying on a single type of crop model, as pursued in most pr…
Varying contributions of greenhouse gases, aerosols and natural forcings to Arctic land surface air temperature changes
The Arctic has warmed rapidly over the past century, with widespread negative impacts on local and surrounding environments. Previous studies have estimated the overall effects of individual groups of anthropogenic forcing agents on Arctic warming. However, the spatial patterns and temporal variabilities of the separate contributions of greenhouse gases (GHGs), natural forcing agents (NATs; solar radiation and volcanic activity combined) and othe…
Attribution of the spatial heterogeneity of Arctic surface albedo feedback to the dynamics of vegetation, snow and soil properties and their interactions
The Arctic warming rate is triple the global average, which is partially caused by surface albedo feedback (SAF). Understanding the varying pattern of SAF and the mechanisms is therefore critical for predicting future Arctic climate under anthropogenic warming. To date, however, how the spatial pattern of seasonal SAF is influenced by various land surface factors remains unclear. Here, we aim to quantify the strengths of seasonal SAF across the A…
No prominent works on this page.
Attribution of the spatial heterogeneity of Arctic surface albedo feedback to the dynamics of vegetation, snow and soil properties and their interactions
The Arctic warming rate is triple the global average, which is partially caused by surface albedo feedback (SAF). Understanding the varying pattern of SAF and the mechanisms is therefore critical for predicting future Arctic climate under anthropogenic warming. To date, however, how the spatial pattern of seasonal SAF is influenced by various land surface factors remains unclear. Here, we aim to quantify the strengths of seasonal SAF across the A…
Disentangling the separate and confounding effects of temperature and precipitation on global maize yield using machine learning, statistical and process crop models
Temperature impacts on crop yield are known to be dependent on concurrent precipitation conditions and vice versa. To date, their confounding effects, as well as the associated uncertainties, are not well quantified at the global scale. Here, we disentangle the separate and confounding effects of temperature and precipitation on global maize yield under 25 climate scenarios. Instead of relying on a single type of crop model, as pursued in most pr…
Varying contributions of greenhouse gases, aerosols and natural forcings to Arctic land surface air temperature changes
The Arctic has warmed rapidly over the past century, with widespread negative impacts on local and surrounding environments. Previous studies have estimated the overall effects of individual groups of anthropogenic forcing agents on Arctic warming. However, the spatial patterns and temporal variabilities of the separate contributions of greenhouse gases (GHGs), natural forcing agents (NATs; solar radiation and volcanic activity combined) and othe…
Quantifying the indirect effects of different air pollutants on crop yields in North China Plain
High concentrations of air pollutants could affect crop yield directly via influencing crop physiology and indirectly via regulating climate conditions. How multiple air pollutants affect crop yields directly and indirectly remains elusive in the North China Plain (NCP), which is the hotspot of air pollution and crop production. Here, we construct data-driven models to quantify the indirect effects of four major air pollutants on the yields of wi…
Observational constraint on climate model projections of global compound hot–dry events and the socioeconomic risks under climate change
The frequency of compound hot–dry events ( f HD ) is projected to increase significantly with future warming, yet associated uncertainties remain considerable and poorly constrained. In this study, we constrain future projections of f HD (2070–2099) using observations of recent trends in temperature ( T ) and precipitation ( P ) (1980–2014) during the warm-seasons. The physical mechanism is that the variance of f HD across climate models is domin…
Land-atmosphere interactions mitigate the direct surface-drying effects of land use and cover change
Environmental Science (6 works) · Climate change (5 works) · Atmospheric sciences (4 works) · Climatology (4 works) · Geography (4 works) · Geology (4 works) · Meteorology (4 works) · Ecology (3 works) · Oceanography (3 works) · Agronomy (2 works)