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Maofeng Liu

Biographic Data

ID6818686
NAMEMaofeng Liu
GIVEN NAMESMaofeng
FAMILY NAMELiu
SIGNATURELIU M
AFFILIATIONSPrinceton University
ORCID0000-0002-8340-0215
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Deciphering the sensitivity of urban canopy air temperature to anthropogenic heat flux with a forcing-feedback framework

    Open Access•Linying Wang, Ting Sun et al.•ARTICLE•Environmental Research Letters•2023

    The sensitivity of urban canopy air temperature ( T a ) to anthropogenic heat flux ( Q A H ) is known to vary with space and time, but the key factors controlling such spatiotemporal variabilities remain elusive. To quantify the contributions of different physical processes to the magnitude and variability of Δ T a / Δ Q A H (where Δ represents a change), we develop a forcing-feedback framework based on the energy budget of air within the urban c…

  • Global terrestrial stilling

    Open Access•Zhenzhong Zeng, Shilong Piao et al.•ARTICLE•Environmental Research Letters•2018

    Previous studies have documented that surface wind speed (u) has been increasing over the ocean but decreasing over land for the past several decades. The decreasing u at the surface over land has been referred to as terrestrial stilling. A plausible hypothesis for terrestrial stilling is an increase in surface roughness associated with changes in land surface (e.g. enhanced vegetation growth, landscape fragmentation or urbanization). One of the …

  • Contrasting responses of urban and rural surface energy budgets to heat waves explain synergies between urban heat islands and heat waves

    Open Access•Dan Li, Ting Sun et al.•ARTICLE•Environmental Research Letters•2015

    Heat waves (HWs) are projected to become more frequent and last longer over most land areas in the late 21st century, which raises serious public health concerns. Urban residents face higher health risks due to synergies between HWs and urban heat islands (UHIs) (i.e., UHIs are higher under HW conditions). However, the responses of urban and rural surface energy budgets to HWs are still largely unknown. This study analyzes observations from two f…

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  • Contrasting responses of urban and rural surface energy budgets to heat waves explain synergies between urban heat islands and heat waves

    Open Access•Dan Li, Ting Sun et al.•ARTICLE•Environmental Research Letters•2015

    Heat waves (HWs) are projected to become more frequent and last longer over most land areas in the late 21st century, which raises serious public health concerns. Urban residents face higher health risks due to synergies between HWs and urban heat islands (UHIs) (i.e., UHIs are higher under HW conditions). However, the responses of urban and rural surface energy budgets to HWs are still largely unknown. This study analyzes observations from two f…

  • Global terrestrial stilling

    Open Access•Zhenzhong Zeng, Shilong Piao et al.•ARTICLE•Environmental Research Letters•2018

    Previous studies have documented that surface wind speed (u) has been increasing over the ocean but decreasing over land for the past several decades. The decreasing u at the surface over land has been referred to as terrestrial stilling. A plausible hypothesis for terrestrial stilling is an increase in surface roughness associated with changes in land surface (e.g. enhanced vegetation growth, landscape fragmentation or urbanization). One of the …

  • Deciphering the sensitivity of urban canopy air temperature to anthropogenic heat flux with a forcing-feedback framework

    Open Access•Linying Wang, Ting Sun et al.•ARTICLE•Environmental Research Letters•2023

    The sensitivity of urban canopy air temperature ( T a ) to anthropogenic heat flux ( Q A H ) is known to vary with space and time, but the key factors controlling such spatiotemporal variabilities remain elusive. To quantify the contributions of different physical processes to the magnitude and variability of Δ T a / Δ Q A H (where Δ represents a change), we develop a forcing-feedback framework based on the energy budget of air within the urban c…

Climate variability and models (2 works) · Environmental Science (2 works) · Urban Heat Island Mitigation (2 works) · Wind and Air Flow Studies (2 works) · Aeolian processes and effects (1 works) · Algorithm (1 works) · Atmospheric sciences (1 works) · Beijing (1 works) · China (1 works) · Climate change (1 works)

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