Impact of Climate Change on Green Roof Energy Performance in Oceanic Climates: A Simulation Dataset (2022-2050)

This dataset comprises two distinct components. The first section encompasses climate data adapted for climate change scenarios derived from the HadCM3 GCM A2 ensemble dataset. It includes essential variables such as Dry Bulb Temperature (DBT), Dew Point Temperature (DPT), Relative Humidity (RH), Atmospheric Pressure, Extraterrestrial Horizontal Radiation (ExtHoRad), Extraterrestrial Direct Radiation (ExtDiRad), Horizontal Infrared Radiation (HoInfRad), Global Horizontal Radiation (GlHoRad), Direct Normal Radiation (DirNoRad), Diffuse Horizontal Radiation (DifHoRad), Global Horizontal Illuminance (GlHoIll), Direct Normal Illuminance (DirNoIll), Diffuse Horizontal Illuminance (DifHoIll), Zenithal Luminance (ZenLum), Wind Direction (WindDir), Wind Speed (WindSp), Total Sky Cover (TotSkyCo), Opaque Sky Cover (OpSkyCo), Visibility (Visibili), Ceiling Height (Ceiling), Precipitable Water Overhead (PWO), Precipitable Water Column (PWC), Precipitation (Prec), Aerosol Optical Depth (AerOptD), Snow Depth (SnowD), and the Date of the Last Snowfall (LastSnow). These datasets are presented in Excel, including raw data, line charts, and boxplots. The second part of the dataset presents the results of simulations assessing the thermal performance of green roofs under two scenarios: the present scenario in 2022 and a future climate change projection for 2050. These simulations were conducted using the Design Builder software. This dataset is also provided in Excel format, featuring raw data, line charts, and boxplots. It compares conventional bare roofs and green roofs in distinct climate areas, specifically Auckland, Christchurch, and Wellington. This dataset's primary focus is on the year 2050, providing valuable insights into how climate change is expected to impact the energy performance of green roofs within oceanic climates.

本数据集包含两个独立的组成部分。第一部分为适配气候变化情景的气候数据，源自HadCM3全球环流模式（Global Circulation Model, GCM）A2集合数据集。该数据集涵盖干球温度（Dry Bulb Temperature, DBT）、露点温度（Dew Point Temperature, DPT）、相对湿度（Relative Humidity, RH）、大气压力、地外水平辐射（Extraterrestrial Horizontal Radiation, ExtHoRad）、地外直接辐射（Extraterrestrial Direct Radiation, ExtDiRad）、水平红外辐射（Horizontal Infrared Radiation, HoInfRad）、全球水平辐射（Global Horizontal Radiation, GlHoRad）、直接法向辐射（Direct Normal Radiation, DirNoRad）、漫射水平辐射（Diffuse Horizontal Radiation, DifHoRad）、全球水平照度（Global Horizontal Illuminance, GlHoIll）、直接法向照度（Direct Normal Illuminance, DirNoIll）、漫射水平照度（Diffuse Horizontal Illuminance, DifHoIll）、天顶亮度（Zenithal Luminance, ZenLum）、风向（Wind Direction, WindDir）、风速（Wind Speed, WindSp）、总云量（Total Sky Cover, TotSkyCo）、不透明云量（Opaque Sky Cover, OpSkyCo）、能见度（Visibility）、云幂高度（Ceiling Height, Ceiling）、柱顶可降水量（Precipitable Water Overhead, PWO）、可降水柱（Precipitable Water Column, PWC）、降水（Precipitation, Prec）、气溶胶光学厚度（Aerosol Optical Depth, AerOptD）、积雪深度（Snow Depth, SnowD）以及末次降雪日期（Date of the Last Snowfall, LastSnow）等核心变量。上述数据集以Excel格式呈现，包含原始数据、折线图与箱线图。

本数据集的第二部分展示了两种情景下绿色屋顶热性能评估模拟的结果：2022年现状情景，以及2050年未来气候变化预测情景。该模拟采用Design Builder软件完成。本数据集同样以Excel格式提供，包含原始数据、折线图与箱线图，对比了常规裸露屋顶与绿色屋顶在奥克兰、克赖斯特彻奇、惠灵顿三个不同海洋性气候区域的性能表现。本数据集核心聚焦于2050年，旨在为气候变化对海洋性气候区域内绿色屋顶能源性能的潜在影响提供极具价值的参考见解。