气候变化领域集成服务门户(CCPortal): An advanced geometric model to simulate thermal anisotropy time-series for simplified urban neighborhoods (GUTA-T)

CCPortal

DOI	10.1016/j.rse.2019.111547
	An advanced geometric model to simulate thermal anisotropy time-series for simplified urban neighborhoods (GUTA-T)
	Wang D.; Chen Y.; Voogt J.A.; Krayenhoff E.S.; Wang J.; Wang L.
发表日期	2020
ISSN	00344257
卷号	237
英文摘要	The anisotropy of directional radiative surface temperature measurements over urban building surfaces is expected to have strong temporal variation. However, a model with the capability to simulate the temporal variation of urban thermal anisotropy (UTA) and with inversion abilities has not yet been developed. In this paper, the relationship between the temporal variation of UTA and temperature contrasts among surface components is investigated. Based on a system of previously developed geometric models for simulation of thermal anisotropy in simplified urban neighborhoods of different densities, a system of advanced geometric models, GUTA-T, is proposed that incorporates the temporal variability of UTA through the dependence of temperature contrasts on solar zenith angle θs under clear skies. A 3-D microscale urban surface temperature model and a sensor view model are combined to generate a synthetic UTA dataset for a variety of simplified urban geometries and with which to evaluate GUTA-T. The results show that parameter inversions are sensitive to sun-surface-sensor geometries. The seasonal and hourly behavior of anisotropy is simulated by GUTA-T with mean absolute differences of 1.06 °C, 1.25 °C, 1.69 °C and 1.04 °C for the view zenith and azimuth angles (θv, φv) of (40°, 90°), (60°, 270°), (60°, 180°) and (40°, 130°), respectively. Evaluation using diurnal measurements over an urban scale model shows that the root mean square difference between simulated anisotropy and the reference anisotropy generated from observed directional temperatures and a high-accuracy computer model is 2.02 °C for θs ≤ 60°. If the proposed model is to be calibrated with satellite data, a second directional observation from the opposite side of the surface target area can improve model performance significantly. Calibrations using samples including only small (e.g., θs ≤ 30°) or large θs (e.g., θs ≥ 50°) tend to decrease the anisotropy time-series simulation accuracy. Due to its inversion abilities, the GUTA-T model has the potential to simulate and correct anisotropy in time-series thermal infrared remote sensing data, thereby improving the analysis either of spatial variation within an image, or of temporal variation of angular urban surface temperature. © 2019 Elsevier Inc.
英文关键词	Geometric model; Temporal variation; Thermal anisotropy; Urban surface temperature
语种	英语
scopus关键词	Anisotropy; Geometry; Image enhancement; Remote sensing; Surface properties; Temperature measurement; Time series; Time series analysis; Geometric modeling; Mean absolute differences; Root mean square differences; Temporal variation; Thermal anisotropy; Thermal infrared remote sensing; Time-series simulation; Urban surface temperature; Atmospheric temperature; anisotropy; Lotka-Volterra model; model; neighborhood; remote sensing; satellite sensor; simulation; spatial variation; surface temperature; temporal variation
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179545
作者单位	State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; Beijing Key Laboratory of Environmental Remote Sensing and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; Beijing Advanced Innovation Center for Future Urban Design, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China; Department of Geography, University of Western Ontario, London, ON N6A 5C2, Canada; School of Environmental Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada
推荐引用方式 GB/T 7714	Wang D.,Chen Y.,Voogt J.A.,et al. An advanced geometric model to simulate thermal anisotropy time-series for simplified urban neighborhoods (GUTA-T)[J],2020,237.
APA	Wang D.,Chen Y.,Voogt J.A.,Krayenhoff E.S.,Wang J.,&Wang L..(2020).An advanced geometric model to simulate thermal anisotropy time-series for simplified urban neighborhoods (GUTA-T).Remote Sensing of Environment,237.
MLA	Wang D.,et al."An advanced geometric model to simulate thermal anisotropy time-series for simplified urban neighborhoods (GUTA-T)".Remote Sensing of Environment 237(2020).