Jianqi Sun

Biographic Data

ID7993085
NAMEJianqi Sun
GIVEN NAMESJianqi
FAMILY NAMESun
SIGNATURESUN J
AFFILIATIONSChinese Academy of Sciences
ORCID0000-0002-3879-6986
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Regime shift in extreme wildfires within northern Eurasia and their impacts

    Open AccessXiubin He, Jianqi Sun et al.ARTICLEEnvironmental Research Letters2025

    Wildfires heighten the risks of ecosystem degradation and increase carbon emissions, significantly impacting ecological stability and climate change. However, changes in extreme wildfire regimes and their consequential impact on carbon emissions and burned area (BA) remain unclear. Our results indicate that extreme wildfires in northern Eurasia exhibit a latitudinal shift in intensity and frequency during 2003–2023. Within the historically fire-p…

  • Land surface processes response to warming and wetting trend in Northwest China

    Open AccessXin Ma, Aihui Wang et al.ARTICLEEnvironmental Research Letters2024

    The climate in Northwest China (NWC) has undergone a warming and wetting trend (WWT) since the 1980s, which has attracted considerable attention from the scientific and policy communities. However, the majority of previous studies have focused on overall effects of WWT, and very few have examined how land surface system responds to climate warming or wetting trend, respectively. For this purpose, this study uses the Community Land Model (CLM5) dr…

  • Improving dynamical-statistical subseasonal precipitation forecasts using deep learning

    Open AccessYanbo Nie, Jianqi SunARTICLEEnvironmental Research Letters2024

    Subseasonal precipitation forecasting is challenging but critical for water management, energy supply, and disaster prevention. To improve regional subseasonal precipitation prediction, previous studies have proposed a dynamical-statistical projection model (DSPM). In this study, we develop a new method that combines the DSPM and deep learning (DL), called the DL-DSPM. The DSPM is developed using the observed relationships between large-scale atm…

  • Increases of extreme heat-humidity days endanger future populations living in China

    Open AccessHuopo Chen, Wenyue He et al.ARTICLEEnvironmental Research Letters2022

    Changes in heat stress due to climate change affect living and working conditions. A wet-bulb temperature (TW) of 35 °C is identified as the upper physiological limit for human survivability. On the basis of Coupled Model Intercomparison Project phase 6 model simulations, our evaluations show that the daily maximum TW is expected to significantly intensify throughout China and is likely to exceed this critical threshold in some regions by the end…

  • Increased population exposure to precipitation extremes under future warmer climates

    Open AccessHuopo Chen, Jianqi Sun et al.ARTICLEEnvironmental Research Letters2020

    Precipitation extremes are among the most dangerous climate-related hazards, and these hazards often cause large socioeconomic losses and exert severe human health impacts each year. It is thus crucial to assess future exposure changes to precipitation extremes under different warming scenarios to improve the mitigation of climate change. Here, we project future exposure using a set of Coupled Earth System Model low-warming simulations and RCP8.5…

  • Attribution of historical near-surface permafrost degradation to anthropogenic greenhouse gas warming

    Open AccessDonglin Guo, Jianqi Sun et al.ARTICLEEnvironmental Research Letters2020

    Given the current confirmed permafrost degradation and its considerable impacts on ecosystems, water resources, infrastructure and climate, there is great interest in understanding the causes of permafrost degradation. Using the surface frost index (SFI) model and multimodel data from the fifth phase of the Coupled Model Intercomparison Project (CMIP5), this study, for the first time, investigates external anthropogenic and natural forcing impact…

  • Anthropogenic influence would increase intense snowfall events over parts of the Northern Hemisphere in the future

    Open AccessHuopo Chen, Jianqi Sun et al.ARTICLEEnvironmental Research Letters2020

    Snowfall is an important element of the climate system and generally has particularly large economic and human impacts. Simulations with climate models have indicated a decline in mean snowfall with warming in most regions. The response of intense snowfall events to a changing climate, however, is unclear. Thus, the degree which anthropogenic influence is responsible for intense snowfall change and how intense snowfall will respond to the changin…

  • Increased population exposure to extreme droughts in China due to 0.5 °C of additional warming

    Open AccessHuopo Chen, Jianqi SunARTICLEEnvironmental Research Letters2019

    Drought, one of the major natural disasters in China, generally causes the largest socioeconomic loss each year and also has severe human health impacts. It is thus crucial to assess the changes in droughts in this region under different climate change scenarios. This study examines the impacts of stabilized 1.5 °C and 2.0 °C warming at the end of the 21st century on drought events in China by using a set of coupled Earth system model low-warming…