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相关概念视频

Quantifying Heat02:46

Quantifying Heat

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Thermal Energy Microscopically, thermal energy is the kinetic energy associated with the random motion of atoms and molecules. Temperature is a quantitative measure of “hot” or “cold”, which depends on the amount of thermal energy. When the atoms and molecules in an object are moving or vibrating quickly, they have a higher average kinetic energy (KE) (or higher thermal energy), and the object is perceived as “hot”, or it is described as being at a...
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Heating and Cooling Curves02:44

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When a substance—isolated from its environment—is subjected to heat changes, corresponding changes in temperature and phase of the substance is observed; this is graphically represented by heating and cooling curves.
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A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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The standard deviation is the most common measure of variation. It is a value that tells us how far a data value is from the mean value in a dataset. Further, the standard deviation is always a positive value or zero.
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The Use of High-resolution Infrared Thermography HRIT for the Study of Ice Nucleation and Ice Propagation in Plants
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加拿大加热度日空间数据集加拿大加热度日空间数据集

Heather MacDonald1, John Pedlar1, Daniel W McKenney1

  • 1Great Lakes Forestry Centre, Canadian Forest Service, Natural Resources Canada, P6A 2E5 1219 Queen Street East, Sault Ste. Marie, Ontario, Canada.

Data in brief
|August 14, 2023
PubMed
概括

这项研究为加拿大提供了加热度日 (HDD) 的空间数据集,对于了解气候变化对能源需求的影响至关重要. 这些数据集涵盖了两个30年时期,为能源政策和气候适应战略提供了宝贵的见解.

关键词:
一个的.加拿大加拿大加拿大加拿大加拿大加拿大气候 气候 气候 气候 气候网格 网格 网格 网格这是一个HDD,HDDD硬盘.升温度 天 天 天.历史性的 历史性的 历史性的拉斯特拉斯特是一个拉斯特.空间数据集是空间数据集.温度 温度是指温度.薄板线 薄板线 薄板线

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科学领域:

  • 气候学 气候学 气候学
  • 环境科学 环境科学
  • 能源研究 能源研究

背景情况:

  • 升温度日 (HDD) 对于评估供暖能源需求和气候变化影响至关重要.
  • 对HDD的准确空间数据对于能源和气候政策的知情决策至关重要.
  • 以前的数据集可能缺乏当前气候变化评估所需的分辨率或时间覆盖.

研究的目的:

  • 为加拿大提供新的加热度日 (HDD) 的空间数据集.
  • 为分析气候趋势提供两个不同的30年期 (1951-1980年和1981-2010年) 的数据.
  • 支持研究气候变化对供暖能源需求的影响.

主要方法:

  • 利用来自多个加拿大站的每日温度计观测结果.
  • 应用空间建模技术来生成网格化硬盘数据集.
  • 包括满足特定数据完整性标准的站点 (≤9个缺失日/年,>9年的数据).

主要成果:

  • 生成了加拿大的HDD空间数据集,分辨率约为2公里.
  • 有两个30年期间的数据:1951-1980年 (1339个站点) 和1981-2010年 (1679个站点).
  • 1951-1980年间空间模型的平均绝对误差为124.2 C-days (2.4%),而1981-2010年间的平均误差为137.6 C-days (2.7%).

结论:

  • 提出的HDD数据集为加拿大的气候变化影响研究提供了宝贵的资源.
  • 这些数据有助于了解供暖能源需求的区域差异.
  • 这些高分辨率的空间数据集可以为能源效率措施和气候适应规划提供信息.