9時の地温プロフィールによる月平均日最高最低地温の推定 (2) : 日照時間を併用する方法

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書誌事項

タイトル別名
  • Estimation of Monthly Mean Maximum and Minimum Soil Temperatures from Profiles Taken at 9:00 A.M.
  • 9時の地温プロフィールによる月平均日最高最低地温の推定
  • 9ジ ノ チオン プロフィール ニ ヨル ツキ ヘイキンニチ サイコウ サイテ
  • (2) A Method Using Sunshine Duration
  • (2) 日照時間を併用する方法

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抄録

The purposes of this study are to examine how to utilize efficiently the daily soil temperature observed at 9:00 A.M. and to estimate monthly mean maximum and minimum soil temperatures from this daily observation. Since soil temperatures fluctuate widely during the course of the day in the surface layer, the vertical soil temperature profile observed at 9:00 A.M. is not a sufficient element to understand the general soil temperature conditions. As a result, it was proposed that two methods would be suitable to estimate the monthly mean maximum and minimum temperatures in the soil surface layer by using the monthly mean soil temperature profile observed at 9:00 A.M. The first was a simple numerical method, of which the characteristics of utilization and application were discussed in the previous report. The second method using the factor of sunshine duration is described in this report.<br>This method was derived using three kinds of empirical coefficients calculated from the following factors which were measured in the experimental fields: (1) the difference between the soil temperature observed at 9:00 A.M. and the minimum soil temperature, (2) the average of the daily soil temperature range profiles and (3) the proportional relationship between the daily range of the soil surface temperature and the sunshine duration.<br>Based on this method, the monthly mean maximum and minimum soil temperatures were estimated using only the two factors of the soil temperature observed at 9:00 A.M. and the sunshine duration observed on that day. In applying this method to the routinely collected meteorological data observed in the Sand Dune Research Institute, the estimated results from this method were found to agree closely with the data stored. The estimated monthly mean daily minimum soil temperature agreed with the stored data within a margin of ±0.5°C, except in the case of the drought months. Also, the estimated monthly mean daily maximum soil temperature agreed within a margin of ±1.0°C, except in the case of drought months. From these results, this method may be considered to be more effective in estimating accurate monthly mean maximum and minimum soil temperatures under usual meteorological conditions.

収録刊行物

  • 農業気象

    農業気象 42 (3), 231-237, 1986

    日本農業気象学会

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