Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Shoupeng Zhu

Biographic Data

ID7992107
NAMEShoupeng Zhu
GIVEN NAMESShoupeng
FAMILY NAMEZhu
SIGNATUREZHU S
AFFILIATIONSNanjing University of Information Science and Technology
ORCID0000-0002-4741-1179
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Significant advancement in subseasonal-to-seasonal summer precipitation ensemble forecast skills in China mainland through an innovative hybrid CSG-Unet method

    Open Access•Yang Lyu, Shoupeng Zhu et al.•ARTICLE•Environmental Research Letters•2024

    Reliable Subseasonal-to-Seasonal (S2S) forecasts of precipitation are critical for disaster prevention and mitigation. In this study, an innovative hybrid method CSG-UNET combining the UNET with the censored and shifted gamma distribution based ensemble model output statistic (CSG-EMOS), is proposed to calibrate the ensemble precipitation forecasts from ECMWF over the China mainland during boreal summer. Additional atmospheric variable forecasts …

  • Will population exposure to heat extremes intensify over Southeast Asia in a warmer world

    Open Access•Xuerong Sun, Fei Ge et al.•ARTICLE•Environmental Research Letters•2022

    Temperature extremes have increased during the past several decades and are expected to intensify under current rapid global warming over Southeast Asia (SEA). Exposure to rising temperatures in highly vulnerable regions affects populations, ecosystems, and other elements that may suffer potential losses. Here, we evaluate changes in temperature extremes and future population exposure over SEA at global warming levels (GWLs) of 2.0 °C and 3.0 °C …

  • Future changes in precipitation extremes over Southeast Asia

    Open Access•Fei Ge, Shoupeng Zhu et al.•ARTICLE•Environmental Research Letters•2020

    Past assessments of coupled climate models have indicated that precipitation extremes are expected to intensify over Southeast Asia (SEA) under the global warming. Here, we use outputs from 15 climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) to evaluate projected changes in precipitation extremes for SEA at the end of the 21st century. The results suggest that CMIP6 multi-model ensemble medians show better performance…

  • Risks of precipitation extremes over Southeast Asia

    Open Access•Fei Ge, Shoupeng Zhu et al.•ARTICLE•Environmental Research Letters•2019

    Guided by the target of the Paris Agreement of 2015, it is fundamental to identify regional climate responses to global warming of different magnitudes for Southeast Asia (SEA), a tropical region where human society is particularly vulnerable to climate change. Projected changes in indices characterizing precipitation extremes of the 1.5 C and 2 C global warming levels (GWLs) exceeding pre-industrial conditions are analyzed, comparing the referen…

No prominent works on this page.

  • Risks of precipitation extremes over Southeast Asia

    Open Access•Fei Ge, Shoupeng Zhu et al.•ARTICLE•Environmental Research Letters•2019

    Guided by the target of the Paris Agreement of 2015, it is fundamental to identify regional climate responses to global warming of different magnitudes for Southeast Asia (SEA), a tropical region where human society is particularly vulnerable to climate change. Projected changes in indices characterizing precipitation extremes of the 1.5 C and 2 C global warming levels (GWLs) exceeding pre-industrial conditions are analyzed, comparing the referen…

  • Future changes in precipitation extremes over Southeast Asia

    Open Access•Fei Ge, Shoupeng Zhu et al.•ARTICLE•Environmental Research Letters•2020

    Past assessments of coupled climate models have indicated that precipitation extremes are expected to intensify over Southeast Asia (SEA) under the global warming. Here, we use outputs from 15 climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) to evaluate projected changes in precipitation extremes for SEA at the end of the 21st century. The results suggest that CMIP6 multi-model ensemble medians show better performance…

  • Will population exposure to heat extremes intensify over Southeast Asia in a warmer world

    Open Access•Xuerong Sun, Fei Ge et al.•ARTICLE•Environmental Research Letters•2022

    Temperature extremes have increased during the past several decades and are expected to intensify under current rapid global warming over Southeast Asia (SEA). Exposure to rising temperatures in highly vulnerable regions affects populations, ecosystems, and other elements that may suffer potential losses. Here, we evaluate changes in temperature extremes and future population exposure over SEA at global warming levels (GWLs) of 2.0 °C and 3.0 °C …

  • Significant advancement in subseasonal-to-seasonal summer precipitation ensemble forecast skills in China mainland through an innovative hybrid CSG-Unet method

    Open Access•Yang Lyu, Shoupeng Zhu et al.•ARTICLE•Environmental Research Letters•2024

    Reliable Subseasonal-to-Seasonal (S2S) forecasts of precipitation are critical for disaster prevention and mitigation. In this study, an innovative hybrid method CSG-UNET combining the UNET with the censored and shifted gamma distribution based ensemble model output statistic (CSG-EMOS), is proposed to calibrate the ensemble precipitation forecasts from ECMWF over the China mainland during boreal summer. Additional atmospheric variable forecasts …

Climate variability and models (4 works) · Climatology (4 works) · Environmental Science (4 works) · Climate change (3 works) · Geography (3 works) · Geology (3 works) · Meteorological Phenomena and Simulations (3 works) · Meteorology (3 works) · Precipitation (3 works) · Atmospheric sciences (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae