測地学会誌
Online ISSN : 2185-517X
Print ISSN : 0038-0830
ISSN-L : 0038-0830
58 巻, 4 号
選択された号の論文の3件中1~3を表示しています
原著論文
  • 潮見 幸江, 黒田 和明, 寺田 聡一, 坪川 恒也, 西村 純
    2012 年 58 巻 4 号 p. 131-139
    発行日: 2012年
    公開日: 2013/06/21
    ジャーナル フリー
    We have been developing a new type of gravity gradiometer that employs technologies of laser interferometer. In the gravity gradiometer, differential accelerations between two test bodies, freely falling at different heights in the local gravitational fields, are measured by a Michelson interferometer. Our preliminary laboratory experiment shows that the gravity gradiometer has a resolution of a few μGal/m. By incorporating some improvements for practical use, the gravity gradiometer could be used for various researches in the fields of geodesy and geophysics. We report its working principle and the current status of the development of the gravity gradiometer.
  • 吉田 清人, 日置 幸介
    2012 年 58 巻 4 号 p. 141-152
    発行日: 2012年
    公開日: 2013/06/21
    ジャーナル フリー
    Atmospheric delays estimated by Global Positioning System (GPS) together with station coordinates provide valuable information for meteorological studies. We report climatological behaviors of the atmospheric water vapor over 13 years period 1996-2008 using daily precipitable water vapor (PWV) data in the F3 solution at ∼1,000 receivers of GPS stations in Japan. Long-term PWV changes presented variety of climatological signatures including interannual changes due to El Niño/Southern Oscillation (ENSO), longer-term changes of a decadal time scale. We compare such changes with those inferred by climatological studies.
データベース
  • 本多 亮, 澤田 明宏, 古瀬 慶博, 工藤 健, 田中 俊行, 平松 良浩
    2012 年 58 巻 4 号 p. 153-160
    発行日: 2012年
    公開日: 2013/06/21
    ジャーナル フリー
    We have finished the preparation for the official release of the Kanazawa University gravity database as a primal edition. Kanazawa University Gravity Research Group has been observing gravity data since 1972. The total amount of the gravity station is 21,520 now. The gravity data are not distributed uniformly, nor abundant as other databases already released. However, we can adequately provide data for some particular areas. With the release of the database, we constructed the GIS platform assisted map view dataset. By this map dataset, we can easily compare the gravity anomaly distribution together with topography, aerial photographs and other datasets, for all over the country.
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