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Development of expanded AMeDAS weather data for building environment evaluation

Development of expanded AMeDAS weather data for building environment evaluation
开发用于建筑环境评估的扩展 AMeDAS 天气数据
批准号:
10450215
负责人:
AKASAKA Hiroshi
金额:
$7.62万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
1998
资助国家:
日本
项目状态:
已结题
起止时间:
1998 至 1999

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中文摘要
翻译
开发了用于建筑能耗计算的气象数据--扩展AMeDAS气象数据(EA Weather Data)。EA天气数据包括日本全国842个气象站15年(1981-1995年)的每小时8个气候要素。这八个气候要素是大气温度、湿度、水平全球辐射、大气辐射、风向、风速、降水和日照时数。本研究的目的是进一步提高EA天气数据的质量和附加值。AQC和再确认以提高数据质量日本气象厅(JMA)有一个自动质量控制程序(AQC)来检测由测量仪器故障或数据传输错误引起的异常数据。JMA的AQC程序已应用于EA天气数据。已在正常数据中修正了AQC检测到的异常值。EA天气数据的质量改进由AQC反复检查。编制标准的EA天气数据每个站点对典型的年度每小时数据的需求预计会很高,对长期真实天气数据的需求也会很高。因此,15年来,标准的EA天气数据都是基于EA天气数据编制的。标准EA天气数据是通过从15年中选择每个月的一个典型月份来组合它们而准备的年度天气数据。操作程序的开发已经开发了操作程序。其中一个程序被称为EA DataNavi。使用EA DataNavi,用户可以从15年的EA天气数据或标准EA天气数据的CD-ROM中调用所需站点的单个年份的EA天气数据,以将其保存在各自的计算机上。此外,它们还可以计算在任何倾角和一定深度的地下温度下,面向任何方向的倾斜表面上的太阳辐射。
英文摘要
The weather data for building energy calculation, which are designated as Expanded AMeDAS Weather Data (EA Weather Data), have been developed. EA Weather Data include hourly eight climatic elements for 15 years (1981-1995) at 842 stations throughout Japan. The eight climatic elements are atmospheric temperature, humidity ratio, horizontal global irradiation, atmospheric irradiation, wind direction, wind speed, precipitation, and sunshine duration. The purpose of this research is that it improves quality and value added of EA Weather Data further.1. AQC and reconfirmation for improving data qualityJapan Meteorological Agency (JMA) has an automated quality control (AQC) procedure to detect abnormal data caused by measuring instruments failure or data transmission error. The AQC procedure by JMA has been applied EA Weather Data. Abnormal values detected by the AQC have been corrected in normal data. Quality improvement for EA Weather Data is checked by the AQC repeatedly.2. Preparation of standard EA weather dataA demand for typical annual hourly data at each station is anticipated to be high as well as that for long-term real weather data. Thus, the standard EA weather data has been prepared based on EA weather data for 15 years. The standard EA weather data is the annual weather data prepared by selecting a typical month for each month from among 15 years to combine them.3. Development of operation programsOperation programs have been developed. One of the programs is called EA DataNavi. Using EA DataNavi, users can invoke EA weather data for a single year at a required station from the CD-ROM of EA weather data for 15 years or that of the standard EA weather data to save it on their respective computers. Furthermore, they can calculate solar irradiation on tilted surfaces facing any direction at any inclination angle and subterranean temperature at a certain depth.
期刊论文(70)
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会议论文
曽我和弘: "全天日射量から直達日射量と天空日射量を推定する各種モデルの比較と評価"日本建築学会計画系論文集. No.512. 17-24 (1998)
Kazuhiro Soga:“根据全球太阳辐射估算直接太阳辐射和天空太阳辐射的各种模型的比较和评估”日本建筑学会规划系列汇刊第 512. 17-24 号(1998 年)。
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Kazuhiro Soga: "A Comparisn of Models to Calculate Hourly Global Irradiation on Tilted Surfaces from Hourly Global Irradiation on a Horizontal Surface"2nd Meeting of CIB Task Group 21 "Weather data for building services". (1998)
Kazuhiro Soga:“计算倾斜表面每小时全球辐照度与水平表面每小时全球辐照度的模型比较”CIB 第 21 任务组“建筑服务天气数据”第二次会议。
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Etsuko Emura: "Detection and refinement of the irregular valies of air temperature in AMeDAS"Proceedings of SHASE. I. 345-348 (1998)
Etsuko Emura:“AMeDAS 中气温不规则值的检测和细化”SHASE 论文集。
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50
    An Experimental Study on Development of Environmental Weather Information Network on the Basis of the Cooperation between National Colleges of Technology and Junior High Schools.
    • 批准号:
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    • 项目类别:
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    • 资助金额:
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    • 批准号:
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    • 项目类别:
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    • 资助金额:
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    • 项目类别:
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    • 资助金额:
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