通过将气象观测与卡尔曼波器方法同化,估计人为热量流
Yuanfeng Cui1, Minghan Chu1, Zhejun He1
1School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, USA.
概括
这项研究引入了一个新的卡尔曼波器-表面能量平衡 (KF-SEB) 模型,以估计城市人为热 (AH) 排放. 该模型使用城市温度数据准确地捕获AH变化,减少估计不确定性.
科学领域:
- 城市气候学 城市气候学
- 环境工程 环境工程
- 遥感 遥感 遥感 遥感
背景情况:
- 人为热量 (AH) 排放通过改变表面能源预算,显著影响城市气候.
- 在AH排放的时空空间变化引入了相当大的不确定性在当前的估计方法.
- 城市遥感技术的进步提供了新的数据来源,但它们被纳入AH估计模型中仍未得到充分探索.
研究的目的:
- 开发和评估一种用于估计城市环境中人为热量 (AH) 排放的新型模型.
- 探索将包括地表温度在内的城市气象数据纳入地表能量平衡模型,以改进AH估计.
- 研究城市微气候与人为能源使用之间的反机制.
主要方法:
- 开发一个卡尔曼波器表面能量平衡 (KF-SEB) 模型.
- 将城市气象数据 (空气温度,建筑物表面温度) 纳入卡尔曼波器 (KF).
- 使用表面能量平衡 (SEB) 方程,估计感知热量流,建筑热储和AH.
- 对KF-SEB模型与简单的板块模型和单层城市树冠模型 (UCM) 的评估.
主要成果:
- 该KF-SEB模型准确地估计了人为热量 (AH) 的大小和时间动态.
- 该模型表明,与以前的方法相比,AH估计的不确定性减少了.
- 城市气象数据成功地被纳入KF-SEB框架.
结论:
- 开发的KF-SEB模型为AH估计提供了一种新且有效的方法,使用易于获得的城市气象数据.
- 这项研究为城市微气候与人为能源消耗之间的复杂相互作用提供了宝贵的见解.
- 这些发现有助于更好地了解城市热力学动态和能源使用.
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