Chen Shi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Chen Shi has a total of 19 co-authors. Here are the top co-authors by number of shared publications:
- Baizhu Shen
Institute of Meteorological Sciences of Jilin Province, Changchun 130062, China
1 shared publication Chenpeng Wang
National Climate Centre, China Meteorological Administration Beijing China
1 shared publication- Gang Liu
Emergency Warning Information Release Center of Jilin Province, Changchun 130062, China
1 shared publication - Jianyu Wang
Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Institute of Tibetan Plateau Meteorology, China Meteorological Administration
1 shared publication Jingjing Gao
Institute for Development and Programme Design China Meteorological Administration Beijing China
1 shared publication- Lixin Su
Institute of Meteorological Sciences of Jilin Province, Changchun 130062, China
1 shared publication
Latest Publications
- Open Access
- 4 February 2026
- Published by American Geophysical Union (AGU) in Geophysical Research Letters
- Vol. 53 (3)
More Rapid Reduction of Spring Snow Cover on the Western Tibetan Plateau by Emergent Constraint
Snow cover is a critical component of climate, hydrological, and ecological systems, particularly in high‐altitude and high‐latitude regions. Global warming has driven substantial snow cover retreat, yet projections from climate models vary widely, hindering reliable climate change adaptation and policy planning. For the Tibetan Plateau (TP), observationally constrained projections offer an opportunity to improve the credibility of snow cover projections, yet such applications are still limited. Based on climate models, we find that the historical inter‐model snow cover reductions are strongly correlated with the projected remaining snow cover by the end of the 21st century. By this emergent relationship and satellite‐derived products, we calibrate the best estimate of the remaining frequency of spring snow cover (relative to 1981–2020) to 37%, which is lower than the multi‐models' prediction (55%) and substantially reduces inter‐model spread (17% after constraint compared to 23% in standard deviation) in a high emission scenario. Cross‐validation tests reinforce the robustness of the constrained projection. The underestimation of snow cover loss is likely attributed to an underestimation of observed warming magnitude. Sensitivity analyses indicate that the choice of period for historical snow cover extent reduction trends and climate model ensemble are the main sources of uncertainty, whereas differences between the two satellite‐derived data sets have only a limited impact on the constraint.
- 4 February 2026
- Published by American Geophysical Union (AGU) in Geophysical Research Letters
- Vol. 53 (3)
Open AccessMore Rapid Reduction of Spring Snow Cover on the Western Tibetan Plateau by Emergent Constraint
Snow cover is a critical component of climate, hydrological, and ecological systems, particularly in high‐altitude and high‐latitude regions. Global warming has driven substantial snow cover retreat, yet projections from climate models vary widely, hindering reliable climate change adaptation and policy planning. For the Tibetan Plateau (TP), observationally constrained projections offer an opportunity to improve the credibility of snow cover projections, yet such applications are still limited. Based on climate models, we find that the historical inter‐model snow cover reductions are strongly correlated with the projected remaining snow cover by the end of the 21st century. By this emergent relationship and satellite‐derived products, we calibrate the best estimate of the remaining frequency of spring snow cover (relative to 1981–2020) to 37%, which is lower than the multi‐models' prediction (55%) and substantially reduces inter‐model spread (17% after constraint compared to 23% in standard deviation) in a high emission scenario. Cross‐validation tests reinforce the robustness of the constrained projection. The underestimation of snow cover loss is likely attributed to an underestimation of observed warming magnitude. Sensitivity analyses indicate that the choice of period for historical snow cover extent reduction trends and climate model ensemble are the main sources of uncertainty, whereas differences between the two satellite‐derived data sets have only a limited impact on the constraint.
- Open Access
- 15 May 2025
- Published by American Meteorological Society in Journal of Climate
- Vol. 38 (10) , 2357-2373
Contribution of the Northeast China Cold Vortex to the Persistent Extreme Precipitation Events over the Yangtze–Huaihe River Basin
Persistent extreme precipitation events (PEPEs) have dramatic socioeconomic impacts in the Yangtze–Huaihe River basin (YHRB). However, the possible role of the Northeast China cold vortex (NEC-CV) in modulating the PEPEs over the YHRB remains unresolved. In this study, the contribution of NEC-CVs to summer precipitation is first examined over central-eastern China, which is characterized by a local and long-distance effect, along with distinct geographic variability. Limited influence is found for the areas outside a threshold of 4× radius of NEC-CV. The YHRB is one of the regions significantly affected by the NEC-CVs, which accounts for about 35%–40% of the total extreme precipitation. During 1961–2022, about 27.7% of the total PEPEs are found to be closely related to the NEC-CVs. In addition, two types of PEPEs (type W/type E) are identified based on the position of corresponding NEC-CV tracks. Significant impacts are found for the opportune configurations of NEC-CVs. The PEPEs are found to be located more westward/eastward for type W/type E, with the anomalous moisture mainly coming from the western North Pacific/South China Sea. The two PEPEs exhibit the anomalous eastward/westward extension of the South Asian high/western North Pacific subtropical high and anomalous southward shift of the upper-level jet with respect to the climatology. Meanwhile, the lower troposphere is dominated by a large-scale low pressure, strong wind shear, and intense moisture transport in the YHRB. The concurrent combinations of the upstream Ural blocking and the downstream Okhotsk blocking are favorable for the development and southward intrusion of NEC-CVs to the YHRB in type W. However, the counterparts in type E are closely associated with the upstream Baikal blocking. The precursor signals of the NEC-CVs can be detected 12/8 days prior to the peak PEPE occurrence at 500 hPa for type W/type E. Significance Statement: Persistent extreme precipitation events (PEPEs) can cause catastrophic flooding. This study demonstrates the role of the Northeast China cold vortex (NEC-CV) in influencing such high-impact weather events in the Yangtze–Huaihe River basin (YHRB). Using the latest reanalysis datasets and neural network technology, we quantitatively conclude that the NEC-CVs have contributed to about 35%–40% of the total extreme precipitation and 27.7% of the total PEPEs in the YHRB over the past 60 years. The relevant PEPEs are dominated by the NEC-CVs, with the opportune configuration of the upper and lower circulation systems. These key findings present a new perspective on the meteorology of the PEPEs with implications for the medium-range weather forecasts.
- 15 May 2025
- Published by American Meteorological Society in Journal of Climate
- Vol. 38 (10) , 2357-2373
Open AccessContribution of the Northeast China Cold Vortex to the Persistent Extreme Precipitation Events over the Yangtze–Huaihe River Basin
Persistent extreme precipitation events (PEPEs) have dramatic socioeconomic impacts in the Yangtze–Huaihe River basin (YHRB). However, the possible role of the Northeast China cold vortex (NEC-CV) in modulating the PEPEs over the YHRB remains unresolved. In this study, the contribution of NEC-CVs to summer precipitation is first examined over central-eastern China, which is characterized by a local and long-distance effect, along with distinct geographic variability. Limited influence is found for the areas outside a threshold of 4× radius of NEC-CV. The YHRB is one of the regions significantly affected by the NEC-CVs, which accounts for about 35%–40% of the total extreme precipitation. During 1961–2022, about 27.7% of the total PEPEs are found to be closely related to the NEC-CVs. In addition, two types of PEPEs (type W/type E) are identified based on the position of corresponding NEC-CV tracks. Significant impacts are found for the opportune configurations of NEC-CVs. The PEPEs are found to be located more westward/eastward for type W/type E, with the anomalous moisture mainly coming from the western North Pacific/South China Sea. The two PEPEs exhibit the anomalous eastward/westward extension of the South Asian high/western North Pacific subtropical high and anomalous southward shift of the upper-level jet with respect to the climatology. Meanwhile, the lower troposphere is dominated by a large-scale low pressure, strong wind shear, and intense moisture transport in the YHRB. The concurrent combinations of the upstream Ural blocking and the downstream Okhotsk blocking are favorable for the development and southward intrusion of NEC-CVs to the YHRB in type W. However, the counterparts in type E are closely associated with the upstream Baikal blocking. The precursor signals of the NEC-CVs can be detected 12/8 days prior to the peak PEPE occurrence at 500 hPa for type W/type E. Significance Statement: Persistent extreme precipitation events (PEPEs) can cause catastrophic flooding. This study demonstrates the role of the Northeast China cold vortex (NEC-CV) in influencing such high-impact weather events in the Yangtze–Huaihe River basin (YHRB). Using the latest reanalysis datasets and neural network technology, we quantitatively conclude that the NEC-CVs have contributed to about 35%–40% of the total extreme precipitation and 27.7% of the total PEPEs in the YHRB over the past 60 years. The relevant PEPEs are dominated by the NEC-CVs, with the opportune configuration of the upper and lower circulation systems. These key findings present a new perspective on the meteorology of the PEPEs with implications for the medium-range weather forecasts.
- Open Access
- 16 January 2023
- Published by MDPI AG in Atmosphere
- Vol. 14 (1) , 187
Summer Onset in Northern East Asia: Feature, Mechanism and Variability
Summer in the East Asian monsoon region is characterized by heavy rainfall and high temperature. Its onset, depicted by monsoon rainfall and/or airflow as well as surface air temperature, has been well documented. However, the onset of summer season is rarely addressed in northern East Asia (NEA) around the northern edge of the East Asian summer monsoon. This study investigates the feature, mechanism, and variability of the summer onset in NEA based on the ERA-5 reanalysis dataset for 1979–2020. Results show that, in climatology, the onset of summer in NEA occurs in pentad 31 when the spring-to-summer warming process is decelerated at the highest rate. The change in the warming rate is mainly attributed to a decrease in the diabatic heat, mostly surface sensible heat, and temperature advection plays a small role. After the onset of summer, regional low-level northwesterly winds are weakened, and a local NEA cyclonic low forms. The latter, coupled with monsoon southerly airflow to the south, advects more moisture into NEA and increases regional rainfall. Furthermore, a temperature threshold of 17 °C, the climatological regional mean surface air temperature in pentad 31, was proposed to depict summer onset in NEA. Based on the temperature threshold, the year-to-year variability of summer onset timing in NEA is revealed, ranging from pentad 29 (late May) to 34 (middle June), with the standard deviation of 1.2 pentads. It advanced by 0.6 pentads, on average, after the late 1990s. This study provides a new method to objectively quantify the timing of summer onset in East Asia, which is thermodynamically explainable and may help us to depict and monitor summer onset in different latitudes and topography.
- 16 January 2023
- Published by MDPI AG in Atmosphere
- Vol. 14 (1) , 187
Open AccessSummer Onset in Northern East Asia: Feature, Mechanism and Variability
Summer in the East Asian monsoon region is characterized by heavy rainfall and high temperature. Its onset, depicted by monsoon rainfall and/or airflow as well as surface air temperature, has been well documented. However, the onset of summer season is rarely addressed in northern East Asia (NEA) around the northern edge of the East Asian summer monsoon. This study investigates the feature, mechanism, and variability of the summer onset in NEA based on the ERA-5 reanalysis dataset for 1979–2020. Results show that, in climatology, the onset of summer in NEA occurs in pentad 31 when the spring-to-summer warming process is decelerated at the highest rate. The change in the warming rate is mainly attributed to a decrease in the diabatic heat, mostly surface sensible heat, and temperature advection plays a small role. After the onset of summer, regional low-level northwesterly winds are weakened, and a local NEA cyclonic low forms. The latter, coupled with monsoon southerly airflow to the south, advects more moisture into NEA and increases regional rainfall. Furthermore, a temperature threshold of 17 °C, the climatological regional mean surface air temperature in pentad 31, was proposed to depict summer onset in NEA. Based on the temperature threshold, the year-to-year variability of summer onset timing in NEA is revealed, ranging from pentad 29 (late May) to 34 (middle June), with the standard deviation of 1.2 pentads. It advanced by 0.6 pentads, on average, after the late 1990s. This study provides a new method to objectively quantify the timing of summer onset in East Asia, which is thermodynamically explainable and may help us to depict and monitor summer onset in different latitudes and topography.