Urban Radiation Sensing And Modeling

We present an approach for better understanding of the exchange of energy between the built and natural environment. Using New York City as a study site, we established the proof of concept for a hybrid experimental-theoretical approach focusing on the radiative heat transfer only. Despite assumptions on surface emissivity and thermal conductivity of buildings walls, the close comparison of temperature values derived from measurements and the computed surface temperatures (including street and ground surfaces) implies that this geospatial, thermodynamic model applied to urban structures, is promising for accurate and high resolution analysis of instantaneous urban surface temperatures.

[1]  Martin J. Wooster,et al.  Derivation of an urban materials spectral library through emittance and reflectance spectroscopy , 2014 .

[2]  Ahmad Al Bitar,et al.  Assessing Urban canopies 3D radiative and Energy Budgets with remote sensing and DART model , 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

[3]  H. Taha.  Urban climates and heat islands: albedo, evapotranspiration, and anthropogenic heat , 1997 .

[4]  Kevin W. Manning,et al.  The Integrated WRF/Urban Modeling System: Development, Evaluation, and Applications to Urban Environmental Problems , 2010 .

[5]  C. Cao,et al.  GOES-R Advanced Baseline Imager: spectral response functions and radiometric biases with the NPP Visible Infrared Imaging Radiometer Suite evaluated for desert calibration sites. , 2013, Applied optics.

[6]  Patrice G. Mestayer,et al.  Urban Morphology Influence on Urban Albedo: A Revisit with the Solene Model , 2013, Boundary-Layer Meteorology.

[7]  Shuichi Rokugawa,et al.  A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images , 1998, IEEE Trans. Geosci. Remote. Sens..

[8]  M. Cadenasso,et al.  Does spatial configuration matter? Understanding the effects of land cover pattern on land surface temperature in urban landscapes , 2011 .

[9]  F. Meier,et al.  Atmospheric correction of thermal-infrared imagery of the 3-D urban environment acquired in oblique viewing geometry , 2010 .

[10]  A. Martilli.  A Two-Dimensional Numerical Study of the Impact of a City on Atmospheric Circulation and Pollutant Dispersion in a Coastal Environment , 2003 .

[11]  S. J. Young,et al.  An in‐scene method for atmospheric compensation of thermal hyperspectral data , 2002 .

[12]  T. Oke,et al.  Urban heat storage derived as energy balance residuals , 1987 .

[13]  Ira Leifer,et al.  Airborne visualization and quantification of discrete methane sources in the environment , 2014 .

[14]  E. Scott Krayenhoff,et al.  A microscale three-dimensional urban energy balance model for studying surface temperatures , 2007 .

[15]  Y. Yamaguchi,et al.  Estimation of storage heat flux in an urban area using ASTER data , 2007 .

[16]  H. Kondo,et al.  A Simple Single-Layer Urban Canopy Model For Atmospheric Models: Comparison With Multi-Layer And Slab Models , 2001 .

[17]  Shem Heiple,et al.  Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles , 2008 .

[18]  Timothy R. Oke,et al.  An objective urban heat storage model and its comparison with other schemes , 1991 .

[19]  Timothy R. Oke,et al.  Comparison of Four Methods to Estimate Urban Heat Storage , 2006 .

[20]  Alain Clappier,et al.  A new building energy model coupled with an urban canopy parameterization for urban climate simulations—part I. formulation, verification, and sensitivity analysis of the model , 2009 .

[21]  Ahmad Al Bitar,et al.  DART: Recent Advances in Remote Sensing Data Modeling With Atmosphere, Polarization, and Chlorophyll Fluorescence , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[22]  R. Kennett,et al.  MODTRAN® 6: A major upgrade of the MODTRAN® radiative transfer code , 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

[23]  T. Oke.  The urban energy balance , 1988 .

[24]  C. S. B. Grimmond,et al.  Heat storage and anthropogenic heat flux in relation to the energy balance of a central European city centre , 2005 .

[25]  Marek Pivovarník,et al.  Improved Temperature and Emissivity Separation Algorithm for Multispectral and Hyperspectral Sensors , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[26]  T. Emig.  Temperature distribution and heat radiation of patterned surfaces at short wavelengths. , 2017, Physical review. E.

[27]  Alexander Berk,et al.  MODTRAN6: a major upgrade of the MODTRAN radiative transfer code , 2014, Defense + Security Symposium.

[28]  T. Oke,et al.  Comparison of modelled and «measured» heat storage in suburban terrain , 1994 .

[29]  S. Koonin,et al.  Mapping Refrigerant Gases in the New York City Skyline , 2017, Scientific Reports.

[30]  T. Aoyagi,et al.  Development of an Urban Multilayer Radiation Scheme and Its Application to the Urban Surface Warming Potential , 2012, Boundary-Layer Meteorology.