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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20 citations as recorded by crossref.
- A New Model to Downscale Urban and Rural Surface and Air Temperatures Evaluated in Shanghai, China D. Liu et al. 10.1175/JAMC-D-17-0255.1
- 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. 10.1016/j.uclim.2024.101851
- Measurements and simulations of energy fluxes over a high-rise and compact urban area in Hong Kong W. Cui & T. Chui 10.1016/j.scitotenv.2020.142718
- Estimating heat storage in urban areas using multispectral satellite data and machine learning J. Hrisko et al. 10.1016/j.rse.2020.112125
- Carbon sequestration potential of street tree plantings in Helsinki M. Havu et al. 10.5194/bg-19-2121-2022
- Impact of Building Structure on Heat Storage Flux Estimation: An Observational Case Study in Beijing N. Li et al. 10.1109/LGRS.2020.3044567
- Impact of heat storage on remote-sensing based quantification of anthropogenic heat in urban environments Z. Yu et al. 10.1016/j.rse.2021.112520
- Anthropogenic heat variation during the COVID-19 pandemic control measures in four Chinese megacities Q. Meng et al. 10.1016/j.rse.2023.113602
- Urban storage heat flux variability explored using satellite, meteorological and geodata F. Lindberg et al. 10.1007/s00704-020-03189-1
- Surface Urban Energy and Water Balance Scheme (v2020a) in vegetated areas: parameter derivation and performance evaluation using FLUXNET2015 dataset H. Omidvar et al. 10.5194/gmd-15-3041-2022
- Urban energy exchanges monitoring from space N. Chrysoulakis et al. 10.1038/s41598-018-29873-x
- Atmospheric Boundary Layer Stability in Urban Beijing: Insights from Meteorological Tower and Doppler Wind Lidar L. Wang et al. 10.3390/rs16224246
- Estimating Ground Heat Flux from Net Radiation C. Hsieh et al. 10.3390/atmos14121778
- Entropy frameworks for urban heat storage can support targeted adaptation strategies D. Hertel & U. Schlink 10.1016/j.uclim.2022.101129
- Copernicus for urban resilience in Europe N. Chrysoulakis et al. 10.1038/s41598-023-43371-9
- Attribution and mitigation of heat wave-induced urban heat storage change T. Sun et al. 10.1088/1748-9326/aa922a
- Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scale M. Biggart et al. 10.5194/acp-21-13687-2021
- Influence of Feedbacks in the Climate–Energetics System on the Intensity of an Urban Heat Island P. Demchenko & A. Ginzburg 10.1134/S0001433818040217
- Tree model with drag, transpiration, shading and deposition: Identification of cooling regimes and large-eddy simulation T. Grylls & M. van Reeuwijk 10.1016/j.agrformet.2020.108288
- 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. 10.1175/JHM-D-18-0057.1
Latest update: 14 Dec 2024
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...
