XIS-temperature:一个每日的时空机器学习模型,用于连续的美国空气温度
Allan C Just1, Kodi B Arfer2, Johnathan Rush3
1Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Institute at Brown for Environment and Society, Brown University, Providence, RI, USA; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Environmental research
|January 14, 2025
概括
我们开发了XGBoost-IDW空气温度合成 (XIS-Temperature),这是一个机器学习模型,用于重建美国各地的每日温度. XIS-Temperature 改善了环境暴露估计,特别是在监测数据有限的地区.
科学领域:
- 环境科学 环境科学
- 数据科学数据科学数据科学
- 气候科学 气候科学
背景情况:
- 准确的历史空气温度重建对于环境健康和司法应用至关重要,但在监测网络稀疏的地区具有挑战性.
- 现有的方法往往缺乏对地址级暴露评估所需的分辨率或准确性.
研究的目的:
- 引入XGBoost-IDW空气温度合成 (XIS-Temperature),这是一个新的高分辨率机器学习模型,用于重建连续美国的每日空气温度.
- 评估XIS-Temperature的准确性,并将其性能与现有的网格式温度模型进行比较,以及其在环境正义研究中的实用性.
主要方法:
- 使用机器学习方法 (XGBoost) 结合反向距离权重 (IDW) 插值开发了XIS-温度.
- 利用遥感数据 (土地表面温度,植被) 和其他预测指标进行每日最低,平均和最大气温估计.
- 采用加权评估指标,以确保在监测稀少的领域进行公平的绩效评估,并使用现场数据进行交叉验证.
主要成果:
- 在2023年,XIS-Temperature实现了1.78 K (最低),1.19 K (平均) 和1.48 K (最高) 的加权根平均平方误差 (RMSE).
- 该模型与前三大格式温度模型相比,表现优越,最低和最高温度的平均平方误差明显较低.
- XIS-Temperature显示,夏季最低气温与社会脆弱性之间的关联比其他模型更强,突出了其对环境正义研究的潜力.
结论:
- XIS-Temperature提供了一种计算可处理和可扩展的方法,用于高分辨率的空气温度重建,适合环境应用.
- 该模型的准确性,特别是在数据稀缺的地区,使得它对估计过去的环境暴露和推进环境正义和人类健康方面的研究非常有价值.
相关概念视频
Temperature Measurement Sites
1.5K
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.
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
1.5K
Thermometers and Temperature Scales
5.1K
Any physical property that depends consistently and reproducibly on temperature can be used as the basis of a thermometer. For example, volume increases with temperature for most substances. This property is the basis for the common alcohol thermometer and the original mercury thermometers. Other properties used to measure temperature include electrical resistance, color, and the emission of infrared radiation.
As many physical properties depend on temperature, the variety of thermometers is...
As many physical properties depend on temperature, the variety of thermometers is...
5.1K
What is Climate?
18.3K
Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
18.3K
Temperature and Thermal Equilibrium
6.5K
Heat and temperature are essential concepts for everyone every day. The study of heat and temperature is part of an area of physics known as thermodynamics. It is not always easy to distinguish heat and temperature.
The concept of temperature has evolved from the common concepts of hot and cold. The scientific definition of temperature explains more than just our sense of hot and cold. Temperature is operationally defined as the quantity measured with a thermometer. Furthermore, temperature is...
The concept of temperature has evolved from the common concepts of hot and cold. The scientific definition of temperature explains more than just our sense of hot and cold. Temperature is operationally defined as the quantity measured with a thermometer. Furthermore, temperature is...
6.5K
Calculating Standard Deviation
7.3K
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.
The standard deviation value is small when all the data is concentrated close to the mean. Here the data exhibits low variation. The standard deviation value is larger when the data values are more spread out from the mean. Here, the data displays high...
The standard deviation value is small when all the data is concentrated close to the mean. Here the data exhibits low variation. The standard deviation value is larger when the data values are more spread out from the mean. Here, the data displays high...
7.3K
What is Weather?
18.1K
Overview
18.1K


