A model of the ground surface temperature for micrometeorological analysis
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Abstract
Micrometeorological models at various scales require ground surface temperature, which may not always be measured in sufficient spatial or temporal detail. There is thus a need for a model that can calculate the surface temperature using only widely available weather data, thermal properties of the ground, and surface properties. The vegetated/permeable surface energy balance (VP-SEB) model introduced here requires no a priori knowledge of soil temperature or moisture at any depth. It combines a two-layer characterization of the soil column following the heat conservation law with a sinusoidal function to estimate deep soil temperature, and a simplified procedure for calculating moisture content. A physically based solution is used for each of the energy balance components allowing VP-SEB to be highly portable. VP-SEB was tested using field data measuring bare loess desert soil in dry weather and following rain events. Modeled hourly surface temperature correlated well with the measured data (r 2 = 0.95 for a whole year), with a root-mean-square error of 2.77 K. The model was used to generate input for a pedestrian thermal comfort study using the Index of Thermal Stress (ITS). The simulation shows that the thermal stress on a pedestrian standing in the sun on a fully paved surface, which may be over 500 W on a warm summer day, may be as much as 100 W lower on a grass surface exposed to the same meteorological conditions.
Keywords
Storage flux Soil moisture Evapotranspiration Sol-air temperature Sub-surface ground temperatureNotes
Acknowledgements
This research was made possible with the support of the Jewish National Fund.
Supplementary material
References
- Allen R, Pereira L, Raes D, Smith M (1998) Crop evapotranspiration—guidelines for computing crop water requirements—FAO irrigation and drainage paper 56. FAO 56.Google Scholar
- Best M (1998) A model to predict surface temperatures. Bound-Layer Meteorol 88:279–306CrossRefGoogle Scholar
- Bitan A, Rubin S (1994) Climatic atlas of Israel for physical and environmental planning and design. Ramot Publishing Company, Tel-Aviv University, Tel-AvivGoogle Scholar
- Bueno B, Norford L, Hidalgo J, Pigeon G (2013) The urban weather generator. J Build Perform Simul 6:269–281CrossRefGoogle Scholar
- De Vries D (1963) Thermal properties of soils. In: van Wijk W (ed) Physics of plant environment. North-Holland Publishing Company, Amsterdam, pp 210–235Google Scholar
- Deardorff JW (1978) Efficient prediction of ground surface temperature and moisture, with inclusion of a layer of vegetation. J Geophys Res Oceans 83:1889–1903CrossRefGoogle Scholar
- Erell E, Williamson T (2006) Simulating air temperature in an urban street canyon in all weather conditions using measured data from a reference meteorological station. Int J Climatol 26:1671–1694CrossRefGoogle Scholar
- Frankenstein S., Koenig G. 2004. FASST vegetation models. ERDC/CRREL TR-04-25.CrossRefGoogle Scholar
- Givoni B (1963) Estimation of the effect of climate on man—development of a new thermal index. Technion-Israel Institute of Technology, PhD thesis, HaifaGoogle Scholar
- Gupta H, Sorooshian S, Yapo P (1999) Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration. J Hydrol Eng 4:135–143CrossRefGoogle Scholar
- Hagishima A, Tanimoto J (2003) Field measurements for estimating the convective heat transfer coefficient at building surfaces. Build Environ 38:873–881CrossRefGoogle Scholar
- Hillel D (1982) Introduction to soil physics. Academic, San DiegoGoogle Scholar
- Krayenhoff ES, Christen A, Martilli A, Oke TR (2014) A multi-layer radiation model for urban neighbourhoods with trees. Bound-Layer Meteorol 151:139–178CrossRefGoogle Scholar
- Lee H, Mayer H, Chen L (2016) Contribution of trees and grasslands to the mitigation of human heat stress in a residential district of Freiburg, Southwest Germany. Landsc Urban Plan 148:37–50CrossRefGoogle Scholar
- Liang X, Lettenmaier DP, Wood EF, Burges SJ (1994) A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J Geophys Res-Atmos 99:14415–14428CrossRefGoogle Scholar
- Lindberg F, Holmer B, Thorsson S (2008) SOLWEIG 1.0—modelling spatial variations of 3D radiant fluxes and mean radiant temperature in complex urban settings. Int J Biometeorol 52:697–713CrossRefGoogle Scholar
- Macdonald RW (2000) Modelling the mean velocity profile in the urban canopy layer. Bound-Layer Meteorol 97:25–45CrossRefGoogle Scholar
- Mackey CO, Wright LT (1943) Summer comfort factors as influenced by the thermal properties of building materials. Transactions of the American Society of Heating and Ventilating Engineers 49:148Google Scholar
- Masson V, Grimmond CSB, Oke T (2002) Evaluation of the town energy balance (TEB) scheme with direct measurements from dry districts in two cities. J Appl Meteorol 41:1011–1026CrossRefGoogle Scholar
- Masson V (2000) A physically-based scheme for the urban energy budget in atmospheric models. Bound-Layer Meteorol 94:357–397CrossRefGoogle Scholar
- Meier AK (1990–91) Strategic landscaping and air-conditioning savings: a literature review. Energy and Buildings 15-16:479–486Google Scholar
- Monteith JL (1965) Evaporation and environment. Symp Soc Exp Biol 90:205–234Google Scholar
- Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans Am Soc of Agric Biological Eng 50:885–900Google Scholar
- Mueller E, Day T (2005) The effect of urban ground cover on microclimate, growth and leaf gas exchange of oleander in Phoenix, Arizona. Int J Biometeorol 49:244–255CrossRefGoogle Scholar
- Murray FW (1967) On the computation of saturation vapor pressure. J Appl Meteorol 6:203–204CrossRefGoogle Scholar
- Nash J, Sutcliffe J (1970) River flow forecasting through conceptual models part I—a discussion of principles. J Hydrol 10:282–290CrossRefGoogle Scholar
- Oke TR (1987) Boundary layer climates. Methuen, LondonGoogle Scholar
- Pan F, Peters-Lidard C, Sale M (2003) An analytical method for predicting surface soil moisture from rainfall observations. Water Resour Res 39(11):1314. doi: 10.1029/2003WR002142 CrossRefGoogle Scholar
- Pearlmutter D, Berliner P, Shaviv E (2007) Integrated modeling of pedestrian energy exchange and thermal comfort in urban street canyons. Build Environ 42:2396–2409CrossRefGoogle Scholar
- Penman HL (1948) Natural evaporation from open water, bare soil and grass. Proceedings of the Royal Society of London, Series A Mathematical and Physical Sciences 193:120–145CrossRefGoogle Scholar
- Shashua-Bar L, Pearlmutter D, Erell E (2009) The cooling efficiency of urban landscape strategies in a hot dry climate. Landsc Urban Plan 92:179–186CrossRefGoogle Scholar
- Shashua-Bar L, Pearlmutter D, Erell E (2011) The influence of trees and grass on outdoor thermal comfort in a hot-arid environment. Int J Climatol 31:1498–1506CrossRefGoogle Scholar
- Shuttleworth WJ, Wallace JS (1985) Evaporation from sparse crops—an energy combination theory. Q J R Meteorol Soc 111:839–855CrossRefGoogle Scholar
- Snir K, Pearlmutter D, Erell E (2016) The moderating effect of water-efficient ground cover vegetation on pedestrian thermal stress. Landsc Urban Plan 156:1–12CrossRefGoogle Scholar
- Sugathan N, Biju V, Renuka G (2014) Influence of soil moisture content on surface albedo and soil thermal parameters at a tropical station. J Earth Syst Sci 123:1115–1128CrossRefGoogle Scholar
- Tetens O (1930) Uber einige meteorologische Begriffe. z. Geophys 6:297–309Google Scholar
- Williamson TJ (1995) A confirmation technique for thermal performance simulation models. Building Simulation ’95, August 14-16, 1995, Madison, Wisconsin, U.S.AGoogle Scholar
- Willmott C (1982) Some comments on the evaluation of model performance. Bull Am Meteorol Soc 63:1309–1313CrossRefGoogle Scholar
- Willmott C, Ackleson S, Davis R, Feddema J, Klink K, Legates D, O’Donnell J, Rowe C (1985) Statistics for the evaluation and comparison of models. J Geophys Res 90:8995–9005CrossRefGoogle Scholar
- Willmott CJ (1981) On the validation of models. Phys Geogr 2:184–194Google Scholar
- Yilmaz H, Toy S, Irmak M, Yilmaz S, Bulut Y (2008) Determination of temperature differences between asphalt concrete, soil and grass surfaces of the city of Erzurum, Turkey. Atmosfera 21:135–146Google Scholar