JaLCDOI 10.18926/fest/54863
タイトル(別表記) Evaluation of drop in official air temperature record at Okayama caused by relocation of observation field of Okayama Local Meteorological Observatory - By comparison with records observed at surrounding points -
フルテキストURL fest_022_061_064.pdf
著者 三浦 健志| 上田 悠生| 守田 秀則| 近森 秀高| 黒川 正宏| 中嶋 佳貴| 沖 陽子|
抄録 Statistical change in official temperature records at Okayama City caused by relocation of meteorological observation field of Meteorological Agency was evaluated. The observation field of Okayama local meteorological observatory was moved to the Tsushima Campus of Okayama University from the downtown area of Okayama City in March, 2015. Comparison between the air temperature records measured at meteorological agency station and the records at Tanjo Pond in Tsushima Campus, showed 0.56 ℃ drop in annual average before and after relocation. Moreover, comparison between the records of Okayama local meteorological observatory and that at the surrounding meteorological observing 9 stations showed 0.55 ℃ drop in annual average. Those results suggest that the relocation dropped annual average of air temperature by about 0.6 ℃.
キーワード Okayama Local Meteorological Observatory relocation drop in air temperature
備考 研究論文 環境管理工学科
出版物タイトル 岡山大学環境理工学部研究報告
発行日 2017-03
22巻
1号
出版者 岡山大学環境理工学部
出版者(別表記) Faculty of Environmental Science and Technology, Okayama University
開始ページ 61
終了ページ 64
ISSN 2187-6940
資料タイプ 紀要論文
言語 Japanese
論文のバージョン publisher
NAID 120005997444
Sort Key 6
Eprints Journal Name fest
JaLCDOI 10.18926/fest/54862
タイトル(別表記) Method for predicting minimum air temperature in the next morning using local meteorological observation data - Improvement on minimum air temperature forecasting system utilizing the Internet -
フルテキストURL fest_022_055_059.pdf
著者 上田 悠生| 三島 拓也| 三浦 健志| 諸泉 利嗣|
抄録 We have developed a minimum air temperature forecasting system using local meteorological observation data in order to prevent or mitigate the frost damage. In this paper, the correlation between the meteorological factors and the decrease in air temperature during the night was shown. Then minimum air temperature was predicted by the multiple regression equation that uses air temperature and humidity at 18:00 as explanatory variables. As the result, the root mean square error (RMSE) was 2.8°C. When the difference of air temperature between 17:00 and 18:00 was used for the prediction instead of humidity, the RMSE was 3.5°C. Next, the prediction was carried out only in clear nights, then the equation that use air temperature and humidity at 18:00 showed that the RMSE was 1.3°C. Although the predictive accuracy of the equations for clear nights is low on cloudy or rainy nights, we can forecast safely on frosty nights by using those equations in combination with the equations for all nights.
キーワード Minimum air temperature prediction frost damage IT multiple regression analysis
備考 研究論文 環境管理工学科
出版物タイトル 岡山大学環境理工学部研究報告
発行日 2017-03
22巻
1号
出版者 岡山大学環境理工学部
出版者(別表記) Faculty of Environmental Science and Technology, Okayama University
開始ページ 55
終了ページ 59
ISSN 2187-6940
資料タイプ 紀要論文
言語 Japanese
論文のバージョン publisher
NAID 120005997443
Sort Key 5
Eprints Journal Name fest