Articles | Volume 10, issue 7
https://doi.org/10.5194/gmd-10-2875-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-2875-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
27 Jul 2017
Model description paper |
| 27 Jul 2017
The Analytical Objective Hysteresis Model (AnOHM v1.0): methodology to determine bulk storage heat flux coefficients
Department of Meteorology, University of Reading, Reading, RG6 6BB, UK
Department of Hydraulic Engineering, Tsinghua University, Beijing
100084, China
State Key Laboratory of Hydro-Science and Engineering, Tsinghua
University, Beijing 100084, China
Zhi-Hua Wang
School of Sustainable Engineering and the Built Environment, Arizona
State University, Tempe, AZ 85287, USA
Walter C. Oechel
Global Change Research Group, Department of Biology, San Diego State
University, San Diego, CA 92182, USA
Department of Environment, Earth and Ecosystems, The Open University,
Milton Keynes, MK7 6AA, UK
Department of Meteorology, University of Reading, Reading, RG6 6BB, UK
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Cited
26 citations as recorded by crossref.
- Evaluation of surface urban energy and water balance scheme (SUEWS) using scaled 2D model experiments under various seasons and sky conditions J. Hang et al.
- Measurements and simulations of energy fluxes over a high-rise and compact urban area in Hong Kong W. Cui & T. Chui
- Estimating heat storage in urban areas using multispectral satellite data and machine learning J. Hrisko et al.
- Impact of heat storage on remote-sensing based quantification of anthropogenic heat in urban environments Z. Yu et al.
- Urban storage heat flux variability explored using satellite, meteorological and geodata F. Lindberg et al.
- Surface Urban Energy and Water Balance Scheme (v2020a) in vegetated areas: parameter derivation and performance evaluation using FLUXNET2015 dataset H. Omidvar et al.
- Atmospheric Boundary Layer Stability in Urban Beijing: Insights from Meteorological Tower and Doppler Wind Lidar L. Wang et al.
- Evaporation measurements using commercial microwave links as scintillometers L. van der Valk et al.
- Entropy frameworks for urban heat storage can support targeted adaptation strategies D. Hertel & U. Schlink
- Remote Sensing-Driven Analysis of Hourly Urban Heat Storage and Its Effects on Air Temperature in China N. Li et al.
- Large-eddy simulation of a diurnal cycle in a coastal urban environment S. Owens et al.
- Estimating anthropogenic heat flux by assimilating meteorological observations with a Kalman filter approach Y. Cui et al.
- Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scale M. Biggart et al.
- Evaluation of the Surface Urban Energy and Water Balance Scheme (SUEWS) at a Dense Urban Site in Shanghai: Sensitivity to Anthropogenic Heat and Irrigation X. Ao et al.
- A New Model to Downscale Urban and Rural Surface and Air Temperatures Evaluated in Shanghai, China D. Liu et al.
- Application of Optimized Sensible Heat Flux Calculation Combining Low-Pass Filtering and Wavelet Transform in the Study of Urban Thermal Environment in Jiangsu Province D. Du & R. Dick Haynes
- Intercomparison of biogenic CO2 flux models in four urban parks in the city of Zurich S. Stagakis et al.
- Carbon sequestration potential of street tree plantings in Helsinki M. Havu et al.
- Impact of Building Structure on Heat Storage Flux Estimation: An Observational Case Study in Beijing N. Li et al.
- Anthropogenic heat variation during the COVID-19 pandemic control measures in four Chinese megacities Q. Meng et al.
- Urban energy exchanges monitoring from space N. Chrysoulakis et al.
- Estimating Ground Heat Flux from Net Radiation C. Hsieh et al.
- Copernicus for urban resilience in Europe N. Chrysoulakis et al.
- Attribution and mitigation of heat wave-induced urban heat storage change T. Sun et al.
- Influence of Feedbacks in the Climate–Energetics System on the Intensity of an Urban Heat Island P. Demchenko & A. Ginzburg
- Tree model with drag, transpiration, shading and deposition: Identification of cooling regimes and large-eddy simulation T. Grylls & M. van Reeuwijk
26 citations as recorded by crossref.
- Evaluation of surface urban energy and water balance scheme (SUEWS) using scaled 2D model experiments under various seasons and sky conditions J. Hang et al.
- Measurements and simulations of energy fluxes over a high-rise and compact urban area in Hong Kong W. Cui & T. Chui
- Estimating heat storage in urban areas using multispectral satellite data and machine learning J. Hrisko et al.
- Impact of heat storage on remote-sensing based quantification of anthropogenic heat in urban environments Z. Yu et al.
- Urban storage heat flux variability explored using satellite, meteorological and geodata F. Lindberg et al.
- Surface Urban Energy and Water Balance Scheme (v2020a) in vegetated areas: parameter derivation and performance evaluation using FLUXNET2015 dataset H. Omidvar et al.
- Atmospheric Boundary Layer Stability in Urban Beijing: Insights from Meteorological Tower and Doppler Wind Lidar L. Wang et al.
- Evaporation measurements using commercial microwave links as scintillometers L. van der Valk et al.
- Entropy frameworks for urban heat storage can support targeted adaptation strategies D. Hertel & U. Schlink
- Remote Sensing-Driven Analysis of Hourly Urban Heat Storage and Its Effects on Air Temperature in China N. Li et al.
- Large-eddy simulation of a diurnal cycle in a coastal urban environment S. Owens et al.
- Estimating anthropogenic heat flux by assimilating meteorological observations with a Kalman filter approach Y. Cui et al.
- Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scale M. Biggart et al.
- Evaluation of the Surface Urban Energy and Water Balance Scheme (SUEWS) at a Dense Urban Site in Shanghai: Sensitivity to Anthropogenic Heat and Irrigation X. Ao et al.
- A New Model to Downscale Urban and Rural Surface and Air Temperatures Evaluated in Shanghai, China D. Liu et al.
- Application of Optimized Sensible Heat Flux Calculation Combining Low-Pass Filtering and Wavelet Transform in the Study of Urban Thermal Environment in Jiangsu Province D. Du & R. Dick Haynes
- Intercomparison of biogenic CO2 flux models in four urban parks in the city of Zurich S. Stagakis et al.
- Carbon sequestration potential of street tree plantings in Helsinki M. Havu et al.
- Impact of Building Structure on Heat Storage Flux Estimation: An Observational Case Study in Beijing N. Li et al.
- Anthropogenic heat variation during the COVID-19 pandemic control measures in four Chinese megacities Q. Meng et al.
- Urban energy exchanges monitoring from space N. Chrysoulakis et al.
- Estimating Ground Heat Flux from Net Radiation C. Hsieh et al.
- Copernicus for urban resilience in Europe N. Chrysoulakis et al.
- Attribution and mitigation of heat wave-induced urban heat storage change T. Sun et al.
- Influence of Feedbacks in the Climate–Energetics System on the Intensity of an Urban Heat Island P. Demchenko & A. Ginzburg
- Tree model with drag, transpiration, shading and deposition: Identification of cooling regimes and large-eddy simulation T. Grylls & M. van Reeuwijk
Saved (final revised paper)
Latest update: 29 Apr 2026
Short summary
The diurnal hysteresis behaviour found between the net storage heat flux and net all-wave radiation has been captured in the Objective Hysteresis Model (OHM). To facilitate use, and enhance physical interpretations of the OHM coefficients, we develop the Analytical Objective Hysteresis Model (AnOHM) using an analytical solution of the one-dimensional advection–diffusion equation of coupled heat and liquid water transport in conjunction with the surface energy balance relationship.
The diurnal hysteresis behaviour found between the net storage heat flux and net all-wave...
