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Land surface temperature and urban heat island effects on air temperature and vapor pressure deficit in Boston, MA

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DataONE2019-01-12 更新2024-06-08 收录
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Landsat-based rasters (30m) of land surface temperature (LST) for the Boston, MA area spanning. LST was calculated by adjusting thermal radiance for atmospheric and emissivity effects for each of 391 images spanning 2000-2013. LST data represent the long-term mean of summertime (day of year 180-240) and springtime (representing leaf-off, day of year 120-180) images. Surface urban heat island (SUHI) calculated by the difference of the mean LST and the 5th percentile LST (typically in rural areas) within the long-term mean LST images, representing enhancements in LST due to urban land use. Additionally, impervious surface area (ISA), buffered by 300m, are included, as well as the accompanying impacts on microclimate due to impervious surface area estimated by linear models with observations from a network (n=25) of meteorological sensors across an urban-rural gradient that measured for two years (2014-2015). Enhancements to local air temperature (dT) and vapor pressure deficit (dV) are averaged over the spring and summer time periods, as above, and for daytime versus nighttime.

覆盖美国马萨诸塞州波士顿地区的、基于陆地卫星(Landsat)的30米分辨率地表温度(LST)栅格数据。针对2000-2013年间的391景影像,通过校正热辐射的大气与发射率影响,计算得到地表温度(LST)。该LST数据集为对应时段内夏季(年积日180-240)与春季(代表落叶期,年积日120-180)影像的长期平均地表温度。地表城市热岛(SUHI)通过长期平均LST影像中,平均LST与第五百分位LST(通常对应乡村区域)的差值计算得到,用以表征城市土地利用引发的地表温度增温效应。此外,数据集还包含经300米缓冲处理的不透水面面积(ISA);同时包含基于2014-2015年两年间、覆盖城乡梯度的25个气象传感器观测网络数据,通过线性模型估算得到的不透水面对微气候的伴随影响。局地气温增温量(dT)与水汽压亏缺增温量(dV)按前述春、夏季时段,以及昼、夜间分别取平均。
创建时间:
2023-11-22
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