Data & Code from Phoenix CPPP Phase 2 Analysis

This data and code package supports the analysis presented in “Beyond Surface Cooling: Comprehensive Field Assessment of Reflective Pavement Thermal Performance in Phoenix, Arizona” and provides fully reproducible workflows for evaluating the thermal performance of cool pavement treatments in a hot urban environment. The dataset integrates multi-modal field measurements collected across residential and nonresidential settings, including mobile air temperature traverses, stationary air temperature monitoring, residential mean radiant temperature (MRT) measurements, subsurface temperature profiles, and controlled testbed observations. The data package contains raw and processed datasets in comma-separated value (CSV) format, accompanying metadata files describing site characteristics and measurement protocols, and R scripts (.R files) used for data cleaning, time synchronization, spatial and temporal matching, quality control filtering, statistical comparison, and figure generation. All analyses were conducted using R (version ≥ 4.2.0) with commonly available packages (e.g., tidyverse, lubridate, data.table, ggplot2). No proprietary software is required to reproduce results. Field campaigns were designed to quantify the effects of high-reflectance pavement coatings on surface temperature, near-surface air temperature, subsurface heat propagation, and radiative heat exposure. Temporal alignment procedures include standardized timestamp conversion and nearest-neighbor matching of high-frequency sensor measurements to stop-based metadata within defined tolerance windows to ensure comparability across instruments. The workflows generate summary statistics, treatment–control contrasts, depth-dependent thermal gradients, and time-series visualizations used in the associated publication. By integrating mobile, stationary, radiative, and subsurface measurements within a unified and transparent processing framework, this package enables comprehensive evaluation of cool pavement performance across multiple thermal exposure pathways and supports reuse in future urban heat mitigation and climate resilience studies.

本数据集与代码包支持《超越表面降温：亚利桑那州凤凰城反射型路面热性能综合现场评估》一文中的分析工作，并提供了可完全复现的工作流，用于评估炎热城市环境中冷型路面处理措施的热性能。本数据集整合了在住宅与非住宅场景下采集的多模态现场实测数据，包括移动空气温度巡测、固定空气温度监测、住宅平均辐射温度（Mean Radiant Temperature, MRT）实测、地下温度剖面数据以及受控试验台观测数据。本数据包包含逗号分隔值（Comma-Separated Values, CSV）格式的原始与处理后数据集、用于描述场地特征与测量规程的配套元数据文件，以及用于数据清洗、时间同步、时空匹配、质量控制过滤、统计对比与图表生成的R脚本（.R文件）。所有分析均基于R语言（版本≥4.2.0）及常用开源包（如tidyverse、lubridate、data.table、ggplot2）完成，复现结果无需使用专有软件。本次现场试验旨在量化高反射率路面涂层对地表温度、近地表空气温度、地下热传播以及辐射热暴露的影响。时间对齐流程包括标准化时间戳转换，以及在指定容差窗口内将高频传感器实测数据与基于测点的元数据进行最近邻匹配，以确保不同仪器间数据的可比性。该工作流可生成对应研究论文中使用的汇总统计量、处理组-对照组对比结果、深度依赖型热梯度以及时间序列可视化图表。本数据包将移动、固定、辐射及地下实测数据整合至统一且透明的处理框架中，可实现多热暴露路径下冷型路面性能的综合评估，并可为未来城市缓热与气候韧性研究提供复用支持。